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Land, climate, water and agriculture — applications of TerraScore data and analytics.

Original descriptions: English, Romanian and RussianEnglish Română Русский

Explore 41 applications across six themes. The questions are international; data, methods and services are established country by country. The detailed examples below describe Moldova and do not imply equal coverage elsewhere.

Search the catalogueAll six themes41 / 41

Land and territories

National and territorial passports

Bring agricultural, climate, soil and water evidence together for a clearly defined territory.

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Moldova · national example

The question: Territorial decisions require explicit boundaries, scale and provenance.
Possible applications: Compare territorial context and prioritize further evidence collection.
Evidence required: Representative local measurements, missing Bender and left-bank statistics, and boundary updates.
Potential data providers: BNS, meteorological institutions, territorial authorities and authorized laboratories.
Method and interpretation: Documented statistical series and spatial aggregation, keeping observations, models and missing values separate.
Possible outputs: Passports, tables and exports with sources and interpretation limits.

Sources for the Moldova example

Source titles are retained in their original language.

Open tool · Moldova ↗

Field and farm passports

Organize parcel or farm context alongside authorized observations and documents.

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Moldova · national example

The question: Territorial decisions require explicit boundaries, scale and provenance.
Possible applications: Plan inspections and maintain consistent evidence for the same parcel.
Evidence required: Verified boundaries, stable identifiers, owner consent, crops, periods and access permissions.
Potential data providers: The farm data owner, agronomist and competent cadastral service.
Method and interpretation: Verified spatial and temporal association; a declared identifier does not prove cadastral ownership.
Possible outputs: A versioned private dossier and report with evidence and usage limits.

Sources for the Moldova example

Source titles are retained in their original language.

Land use and land cover

Compare declared land use with observed land cover and changes over time.

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Moldova · national example

The question: Territorial decisions require explicit boundaries, scale and provenance.
Possible applications: Identify areas requiring field checks and verify land-use changes.
Evidence required: Cloud-screened imagery, comparable periods, boundaries, harmonized classes and field validation samples.
Potential data providers: BNS, ANIF, Copernicus and GIS specialists with authorized data access.
Method and interpretation: Classification and change detection with accuracy assessment; differences between maps can include classification errors.
Possible outputs: Change maps, areas by class and a validation report.

Sources for the Moldova example

Source titles are retained in their original language.

Land degradation and erosion

Prepare erosion and degradation assessment using terrain, soil, rainfall and management evidence.

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Moldova · national example

The question: Territorial decisions require explicit boundaries, scale and provenance.
Possible applications: Prioritize inspections and soil conservation measures.
Evidence required: Slope and slope length, ground cover, management practices and independent erosion measurements.
Potential data providers: Soil research institutions, ANIF, GIS specialists and agronomists.
Method and interpretation: Locally calibrated soil-loss models with explicit process and scale limitations.
Possible outputs: An investigation map and explanatory factors, without an automatic parcel diagnosis.

Sources for the Moldova example

Source titles are retained in their original language.

Administrative geography and cadastral information

Link administrative identifiers to verified cadastral information and restrictions where access is lawful.

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Moldova · national example

The question: Territorial decisions require explicit boundaries, scale and provenance.
Possible applications: Check territorial association and identify missing legal documentation.
Evidence required: Authorized official extracts, validity dates, boundary provenance and the basis of restrictions.
Potential data providers: AGCC, cadastral services and authorities responsible for the relevant restrictions.
Method and interpretation: Controlled identifier crosswalks and spatial overlays, without inferring ownership.
Possible outputs: A provenance sheet, discrepancies and the documents needed for verification.

Sources for the Moldova example

Source titles are retained in their original language.

Agriculture

Agricultural production and yield

Explore official sown area, production and yield series by crop and territory.

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Moldova · national example

The question: Production depends on interactions between crops, the environment and farm management.
Possible applications: Compare years and territories within published statistical definitions.
Evidence required: Local harvest and management data for farm-level explanations, plus evidence for missing territories.
Potential data providers: BNS and authorized agricultural record holders.
Method and interpretation: Descriptive comparisons of compatible populations and units; weather correlation does not establish causation.
Possible outputs: Series, territorial comparisons and exports with statistical provenance.

Sources for the Moldova example

Source titles are retained in their original language.

BNS AGR020600reg crop area, yield and production ↗

Open tool · Moldova ↗

Varieties, hybrids and growth stages

Associate variety and growth stage with observed crop conditions.

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Moldova · national example

The question: Production depends on interactions between crops, the environment and farm management.
Possible applications: Schedule observations and interpret crop sensitivity at different stages.
Evidence required: Actual variety, sowing date, dated phenological observations and local conditions.
Potential data providers: ANSA, agricultural research institutions and agronomists.
Method and interpretation: Standardized phenology observations and variety-calibrated thermal models; variety admission does not prove local performance.
Possible outputs: A documented development calendar and uncertainty statement.

Sources for the Moldova example

Source titles are retained in their original language.

Crop management and rotation

Structure crop and management history to interpret farm outcomes.

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Moldova · national example

The question: Production depends on interactions between crops, the environment and farm management.
Possible applications: Review crop sequences and plan investigations into productivity differences.
Evidence required: Parcel crop sequences, sowing, harvest, irrigation, operations, products and doses with units.
Potential data providers: Farmers, agronomists and research institutions with the data owner’s permission.
Method and interpretation: Comparable timelines and stratified analysis accounting for variety, soil and weather.
Possible outputs: A private management history and an explainable report of the factors examined.

Sources for the Moldova example

Source titles are retained in their original language.

Nutrients and fertilizer analysis

Prepare interpretation of soil analyses and nutrient balance for a specified crop.

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Moldova · national example

The question: Production depends on interactions between crops, the environment and farm management.
Possible applications: Define a sampling plan and the evidence required for agronomic advice.
Evidence required: Representative depth-specific samples, extraction methods, N/P/K, salinity, fertilizer history and yield target.
Potential data providers: Competent laboratories and agronomists, with sample traceability and explicit data permissions.
Method and interpretation: Method- and crop-specific interpretation, nutrient balance and professional review before any recommendation.
Possible outputs: A laboratory dossier and data requirements, without automatic fertilizer doses from a global model alone.

Sources for the Moldova example

Source titles are retained in their original language.

Plant health, diseases and pests

Bring together official alerts and documented observations for phytosanitary investigation.

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Moldova · national example

The question: Production depends on interactions between crops, the environment and farm management.
Possible applications: Prioritize inspections and request diagnostic confirmation.
Evidence required: Crop, variety, symptoms, location and date, samples, laboratory results and previous interventions.
Potential data providers: ANSA, phytosanitary laboratories, plant pathologists and agronomists.
Method and interpretation: Surveillance and confirmed diagnosis, distinguishing suspicion, official alerts and verified results.
Possible outputs: An observation sheet and verification dossier, without automatic pesticide prescriptions.

Sources for the Moldova example

Source titles are retained in their original language.

Livestock, pasture and feed resources

Relate herd size, pasture condition, feed resources and verified animal-health information.

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Moldova · national example

The question: Production depends on interactions between crops, the environment and farm management.
Possible applications: Plan data collection for feed balance and pasture inspections.
Evidence required: Livestock by category, feed mass and quality, areas, grazing pressure and authorized veterinary data.
Potential data providers: BNS, ANSA, livestock farmers, veterinarians and pasture managers.
Method and interpretation: Dry-matter balance and field observations using comparable periods and populations.
Possible outputs: A feed-availability sheet and documented gaps, without automatic veterinary diagnosis.

Sources for the Moldova example

Source titles are retained in their original language.

Climate and water

Weather and climate monitoring

Display recent weather context and admitted statistical publications, retaining each source’s date.

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Moldova · national example

The question: Weather and water effects depend on location, timing and the crop.
Possible applications: Monitor data freshness and choose when local checks are needed.
Evidence required: Verified stations and sensors, wider geographic coverage and local representativeness checks.
Potential data providers: NASA POWER, BNS, meteorological institutions and authorized station operators.
Method and interpretation: Complete time windows and separate evidence types; two cells are not averages for every district.
Possible outputs: Recent series, freshness indicators and exports with provenance.

Sources for the Moldova example

Source titles are retained in their original language.

Open tool · Moldova ↗

Historical climate and anomalies

Explore seasonal climate context and admitted comparisons with a reference period.

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Moldova · national example

The question: Weather and water effects depend on location, timing and the crop.
Possible applications: Compare compatible periods and identify required homogeneity checks.
Evidence required: Confirm recent source homogeneity and compare with stations before admitting 2026 anomalies.
Potential data providers: NASA POWER and meteorological institutions able to supply station series and metadata.
Method and interpretation: Area-weighted aggregation and compatible temporal comparisons, controlling for provider changes.
Possible outputs: Climate summaries and explicit gaps, without unvalidated recent anomalies.

Sources for the Moldova example

Source titles are retained in their original language.

Open tool · Moldova ↗

Drought, frost and heat stress

Prepare assessment of crop exposure to weather episodes using explicit thresholds and growth stages.

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Moldova · national example

The question: Weather and water effects depend on location, timing and the crop.
Possible applications: Prioritize inspection locations and periods without treating a weather signal as confirmed damage.
Evidence required: Validated crop-specific thresholds, local temperature and rainfall, phenology, moisture and impact evidence.
Potential data providers: Meteorological institutions, agronomists, laboratories and official drought-monitoring providers.
Method and interpretation: Event analysis and stage-specific exposure; management and soil remain potential confounders.
Possible outputs: An event, exposure and uncertainty dossier, without a universal score or assumed causation.

Sources for the Moldova example

Source titles are retained in their original language.

Hydrology and official warnings

Present attributed hydrological observations and official warnings separately from forecasts and planned releases.

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Moldova · national example

The question: Weather and water effects depend on location, timing and the crop.
Possible applications: Follow station and river-sector context and check official announcements.
Evidence required: Complete identifiers and coordinates, gauge datums, verified series and water-use rights.
Potential data providers: Hydrometeorological institutions and competent water-management authorities.
Method and interpretation: Retain observation, warning and forecast as distinct types, without automatic district-wide extrapolation.
Possible outputs: A traceable bulletin and station context, not a pumping recommendation or certificate of water availability.

Sources for the Moldova example

Source titles are retained in their original language.

AMM attributed public hydrological bulletin facts ↗

Open tool · Moldova ↗

Soil moisture and water balance

Present climatic water-balance context and the need for actual soil-moisture measurements.

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Moldova · national example

The question: Weather and water effects depend on location, timing and the crop.
Possible applications: Plan sampling and interpret atmospheric water demand.
Evidence required: Depth-specific moisture, hydraulic properties, rooting, drainage, irrigation and parcel-scale water balance.
Potential data providers: Laboratories, agronomists, sensor operators and agrometeorological institutions.
Method and interpretation: Mass balance with explicit inputs and outputs; rainfall minus ET0 is not measured soil moisture.
Possible outputs: Water-balance context and assumptions, without an unvalidated estimate of parcel water reserves.

Sources for the Moldova example

Source titles are retained in their original language.

Open tool · Moldova ↗

Irrigation requirements

Explore a water-demand scenario using explicit crop and irrigation parameters.

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Moldova · national example

The question: Weather and water effects depend on location, timing and the crop.
Possible applications: Compare planning assumptions before verifying data and access to water.
Evidence required: Crop and stage, justified coefficients, efficiency, area, initial moisture and authorized water availability.
Potential data providers: An agronomist, irrigation specialist, system operator and competent water authority.
Method and interpretation: A documented water-demand scenario retaining parameters and assumptions; demand does not establish availability.
Possible outputs: A scenario result and assumptions for review, without an automatic pumping recommendation.

Sources for the Moldova example

Source titles are retained in their original language.

Open tool · Moldova ↗

Irrigation infrastructure

Prepare an inventory of irrigation systems and their actual water-delivery capacity.

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Moldova · national example

The question: Weather and water effects depend on location, timing and the crop.
Possible applications: Identify systems requiring technical inspection or updated operating evidence.
Evidence required: Asset condition, network routes, pumps, delivered volumes, energy use, losses and actual service areas.
Potential data providers: ANIF, water-user associations and system operators.
Method and interpretation: Verified asset inventory and operational balance, distinguishing design capacity from measured delivery.
Possible outputs: System records and a map of verified coverage, with gaps and inspection dates.

Sources for the Moldova example

Source titles are retained in their original language.

Groundwater, reservoirs and water availability

Prepare water-resource assessment from verified volumes, levels, quality and legal constraints.

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Moldova · national example

The question: Weather and water effects depend on location, timing and the crop.
Possible applications: Identify evidence needed for professional water-use assessment.
Evidence required: Level and volume series, authorized abstraction, water quality, competing demand and ecological requirements.
Potential data providers: Water authorities, AGRM, reservoir operators and competent laboratories.
Method and interpretation: Hydrological balance and scenario analysis under explicit constraints, preserving uncertainty for each input.
Possible outputs: An availability and quality dossier for expert review, without assumed water-use rights.

Sources for the Moldova example

Source titles are retained in their original language.

Environment

Soil properties

Explore modelled topsoil properties to identify questions for local field surveys and laboratory investigation.

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Moldova · national example

The question: Territorial context helps select investigations but does not establish field fertility or a parcel's fertilizer requirements.
Possible applications: Prioritize sampling and verification of local differences before selecting interventions intended to improve soil conditions.
Evidence required: Representative samples, documented depths and methods, nutrients, salinity, compaction and uncertainty of local analyses are needed.
Potential data providers: ISRIC supplies the reference model, while laboratories and soil institutions can supply local measurements under agreed conditions.
Method and interpretation: Comparisons retain depth, method, units and spatial support without treating a district mean as a field analysis.
Possible outputs: The view provides modelled values, coverage and provenance with explicit limits on interpretation at local scale.

Sources for the Moldova example

Source titles are retained in their original language.

Open tool · Moldova ↗

Environmental hazards

Organize evidence on erosion, degradation and ecosystem pressures for territorial assessments with an explicitly defined scope.

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Moldova · national example

The question: Similar pressures can have different consequences depending on terrain, soil, land use and existing protective measures.
Possible applications: Identify areas needing further investigation before planning measures to protect soils and agricultural ecosystems.
Evidence required: Verified terrain, dated vegetation cover, farming practices, usable boundaries and field checks are required for assessment.
Potential data providers: IPOT, geospatial and environmental authorities can complement Copernicus products and results from research institutions.
Method and interpretation: Each hazard requires an appropriate model, compatible resolution and local validation, with uncertainty reported separately.
Possible outputs: Planned hazard profiles will identify factors, covered areas, gaps and evidence required for further verification.

Sources for the Moldova example

Source titles are retained in their original language.

Agricultural environmental pollution

Relate the location and period of soil, water and air analyses to questions about agricultural exposure.

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Moldova · national example

The question: Pollution interpretation depends on the substance, analytical method, detection limit and representativeness of sampling locations.
Possible applications: Determine where additional analyses are needed before evaluating water use or potential restrictions on agricultural activities.
Evidence required: Verifiable results, coordinates, dates, units, methods, detection limits and criteria applicable to each sample are needed.
Potential data providers: The Environment Agency and competent laboratories can provide results and protocols subject to applicable data rights.
Method and interpretation: Assessment compares compatible measurements and distinguishes values below detection limits from zero and missing data.
Possible outputs: Planned sample tables and maps will show method, period, uncertainty and reasons why particular comparisons are unsupported.

Sources for the Moldova example

Source titles are retained in their original language.

Vegetation and seasonal development

Track seasonal vegetation development using satellite observations aligned with crop identity, phenology and local conditions.

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Moldova · national example

The question: A vegetation anomaly may reflect weather, crop type, harvest or cloud cover and requires contextual interpretation.
Possible applications: Select areas for field observation and investigate seasonal differences before drawing conclusions about crop condition.
Evidence required: Access rights, area boundaries, crop identities, farming calendars, cloud masks and local observations are required.
Potential data providers: Copernicus and JRC provide candidate products, while farmers and researchers can confirm crop identities and growth stages.
Method and interpretation: Analysis retains resolution and quality controls, comparing compatible growth stages without automatically converting NDVI into crop yield.
Possible outputs: Planned outputs include seasonal curves and anomaly areas with coverage, quality indicators and requirements for local verification.

Sources for the Moldova example

Source titles are retained in their original language.

Floods and fires

Prepare separate flood and fire assessments using dated events, exposed assets and relevant physical conditions.

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Moldova · national example

The question: River level or extreme rainfall alone does not establish whether a field floods or a fire occurs.
Possible applications: Prioritize investigation of land, infrastructure and protective measures using maps and event evidence admitted separately.
Evidence required: Verified event extents, terrain, infrastructure, combustible vegetation and compatible historical records are needed for each hazard.
Potential data providers: AMM, IGSU, forestry authorities and infrastructure operators can complement Copernicus products with local evidence.
Method and interpretation: Floods and fires use distinct methods that examine event extent, recurrence, exposure and each product's limitations.
Possible outputs: Separate event and exposure profiles are planned without a combined score or an independent operational warning service.

Sources for the Moldova example

Source titles are retained in their original language.

Soil and ecosystem restoration

Document restoration measures and track observed changes using indicators appropriate to the land and intervention.

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Moldova · national example

The question: Restoration assessment needs a baseline and repeated observations to distinguish change from natural variability over time.
Possible applications: Compare intervention options and design monitoring before extending restoration measures across larger areas of land.
Evidence required: Locations, objectives, baseline measurements, costs, implemented practices and repeated observations using consistent methods are needed.
Potential data providers: Farmers, researchers and environmental institutions can provide evidence under agreed responsibilities and data-use conditions.
Method and interpretation: Analysis tracks comparable indicators and accompanying factors; a simple before-and-after difference does not establish a causal effect.
Possible outputs: Planned outputs include intervention records, observation series and reports describing results, uncertainty and further verification needs.

Sources for the Moldova example

Source titles are retained in their original language.

Damage and risk

Agricultural damage assessment

Prepare documented damage assessments by combining field findings, affected crop information and applicable assessment rules.

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Moldova · national example

The question: A production deviation or climate anomaly alone does not establish the losses suffered by a particular farm.
Possible applications: Identify the evidence needed to examine an event and assess whether the records support calculating losses.
Evidence required: Signed acts, affected areas, crop identity, field observations, documented reference yields and prices are required.
Potential data providers: Competent commissions, farmers, local authorities, MAIA and BNS can provide the necessary documents and supporting data.
Method and interpretation: Assessment follows crop-specific rules in MAIA/MM Order 43/64, keeping assumptions separate from the official determination of damage.
Possible outputs: Planned reproducible case reports will document sources, applicable formulas, intermediate results and gaps preventing assessment.

Sources for the Moldova example

Source titles are retained in their original language.

Field inspections and observations

Structure field observations with location, date, method and evidence for subsequent review by appropriately authorized people.

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Moldova · national example

The question: Observations without methods, locations or supporting documents do not allow independent verification of a crop's condition.
Possible applications: Determine what must be observed, who may review it and what information is missing before closing a case.
Evidence required: Verified identities, agreed permissions, locations, protocols, supporting evidence and document-retention rules are required for operation.
Potential data providers: Farmers, laboratories, commissions and participating institutions would supply observations within their established responsibilities and agreements.
Method and interpretation: The proposed workflow separates recording, review and correction while retaining authorship, evidence and the history of each version.
Possible outputs: Planned outputs include inspection records and review checklists with explicit processing states and controlled access.

Sources for the Moldova example

Source titles are retained in their original language.

District profiles for risk analysis

Bring together district agricultural and climate context with available factors, data gaps and evidence needed for assessment.

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Moldova · national example

The question: An explainable territorial profile shows usable information and the limitations that must accompany comparisons between districts.
Possible applications: Prioritize data collection and local investigation before classifying risks or selecting appropriate adaptation measures.
Evidence required: Crop-specific exposure, local vulnerability factors, accepted rules and verification of territorial comparability are required.
Potential data providers: BNS, AMM, local authorities and agricultural institutions can provide data and validation under agreed arrangements.
Method and interpretation: Each profile retains indicator scale and separates observed facts, modelled estimates and assessments that remain unvalidated.
Possible outputs: Planned profiles will show factors, coverage, uncertainty, supporting documents and questions requiring local verification.

Sources for the Moldova example

Source titles are retained in their original language.

Agricultural risk indicators

Define transparent hazard, exposure and vulnerability indicators with explicit inputs and clearly stated limits of interpretation.

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Moldova · national example

The question: Combining indicators can mislead unless weights, treatment of missing values and spatial units are properly justified.
Possible applications: Determine which relationships can be assessed and which factors are missing before attempting any combined classification.
Evidence required: Versioned definitions, consistent rules, loss observations, retrospective calibration and independent validation of results are required.
Potential data providers: MAIA, AMM, BNS and agricultural experts can define requirements and assess evidence without any approval being presumed.
Method and interpretation: The method must justify normalization, weights, thresholds, dependencies between factors and treatment of missing data.
Possible outputs: Planned indicator passports and traceable calculations will report sensitivity, uncertainty and explicitly stated limitations.

Sources for the Moldova example

Source titles are retained in their original language.

Index-based protection

Examine whether verifiable climate indicators can support protection instruments for clearly defined agricultural risks.

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Moldova · national example

The question: An index can diverge from a farmer's actual loss, and this discrepancy must be measured before use.
Possible applications: Assess an indicator and its territorial coverage for a pilot study before defining contractual protection terms.
Evidence required: Historical losses, stable indices, calibrated thresholds, contractual terms and assessment of index-to-loss discrepancies are required.
Potential data providers: Insurers, agricultural organizations and data institutions can participate in research only under explicitly agreed conditions.
Method and interpretation: Testing compares proposed triggers with independent loss evidence and assesses errors, stability and territorial differences.
Possible outputs: Planned index-suitability studies will disclose assumptions, sensitivity and situations where the proposed protection would fail.

Sources for the Moldova example

Source titles are retained in their original language.

Parametric compensation scenarios

Examine payment scenarios linked to explicit thresholds while separating experimental calculation from contractual entitlement.

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Moldova · national example

The question: Exceeding a climate threshold does not automatically establish payment entitlement and can accompany very different actual losses.
Possible applications: Compare proposed rules in a documented study before deciding whether to finance or launch a compensation instrument.
Evidence required: Authority and contracts, validated thresholds, payment limits, financing and procedures for correcting input data are required.
Potential data providers: Competent institutions, instrument administrators, insurers and data holders would define responsibilities through explicit agreements.
Method and interpretation: Scenarios would apply a versioned rule to admitted data and test revisions, missingness and discrepancies from actual damage.
Possible outputs: Planned outputs are explainable simulations of payments and possible errors, without payment instructions or administrative decisions.

Sources for the Moldova example

Source titles are retained in their original language.

Historical damage and disasters

Assemble documented events and damage into a history retaining dates, territories, crop identities and assessment methods.

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Moldova · national example

The question: Comparable loss histories are needed to validate risk assessments, but administrative reports have differing coverage.
Possible applications: Select cases for retrospective validation and identify periods or territories where the available evidence remains insufficient.
Evidence required: Verifiable acts, event identifiers, affected areas, values, methodologies and rules preventing duplicate counting are required.
Potential data providers: IGSU, MAIA, AIPA, local authorities and insurers can provide aggregates or authorized records with documented provenance.
Method and interpretation: Harmonization separates affected area, production loss, damage value and compensation while preserving original source definitions.
Possible outputs: Planned timelines and case tables will document sources, coverage, revisions and limits to comparability between records.

Sources for the Moldova example

Source titles are retained in their original language.

Economics and institutional intelligence

Production costs

Structure seed, fertilizer, crop-protection, fuel and field-operation costs for documented comparisons of production economics.

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Moldova · national example

The question: Costs depend on quantities, periods, technologies and contracts, so national averages do not describe every farm.
Possible applications: Identify major expenditure categories and required evidence before comparing alternative approaches to agricultural production.
Evidence required: Actual quantities, invoices, periods, currency, taxes, areas and consistent rules for allocating production costs are required.
Potential data providers: BNS, ANRE, suppliers and farms can provide statistical context and commercial records authorized for analysis.
Method and interpretation: The proposed calculation separates prices from quantities and fixed from variable costs, retaining units and reference periods.
Possible outputs: Planned outputs include crop and area budgets with assumptions, source evidence and sensitivity to changing prices.

Sources for the Moldova example

Source titles are retained in their original language.

Irrigation energy costs

Compare energy use and costs for pumping scenarios based on explicit information about the installation.

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Moldova · national example

The question: The same water volume can require different energy inputs depending on pumping head and system efficiency.
Possible applications: Compare pumping options and identify measurements needed before estimating the operating budget of an irrigation system.
Evidence required: Water volume, flow, pumping head, efficiencies, losses, operating schedules and the applicable energy tariff are required.
Potential data providers: Installation operators, energy suppliers and ANRE can provide measurements, contracts and tariffs with effective dates.
Method and interpretation: Scenarios use the physical pumping balance and compatible tariffs, checking efficiency against measured energy consumption.
Possible outputs: Planned estimates will show energy and cost sensitivity to flow, efficiency, tariff and operating duration.

Sources for the Moldova example

Source titles are retained in their original language.

Agricultural prices

Track published agricultural prices while explicitly preserving product definitions, reference periods, units and marketing stages.

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Moldova · national example

The question: Producer, retail and contractual prices are not interchangeable when assessing the revenue of an agricultural business.
Possible applications: Choose comparable series for budgeting and examine price changes without assuming the terms of an individual transaction.
Evidence required: Admitted values, product definitions, currency, units, periods and quality or delivery conditions are required.
Potential data providers: BNS and FAO provide public statistics, while farms and buyers can supply contractual prices authorized for analysis.
Method and interpretation: Comparisons retain product-specific units and periods, documenting conversions and adjustments without undisclosed interpolation.
Possible outputs: Planned price series, comparisons and exports will show provenance, coverage and warnings about incompatible observations.

Sources for the Moldova example

Source titles are retained in their original language.

Agricultural insurance

Organize information about covered risks, exclusions, deductibles and documents needed to examine agricultural insurance arrangements.

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Moldova · national example

The question: The existence of damage does not automatically establish contractual coverage, the insured sum or a compensation amount.
Possible applications: Identify differences between terms and missing documents before discussing insurance coverage with the relevant insurer.
Evidence required: Contractual terms, crop identity, area, period, coverage, premiums and rules for assessing insured damage are required.
Potential data providers: Insurers, farmers and competent institutions can provide documents and clarification subject to agreements and confidentiality.
Method and interpretation: The proposed analysis explicitly compares terms and scenarios without deriving entitlement from a single climate indicator.
Possible outputs: Planned outputs include comparison sheets and document checklists with assumptions, exclusions and questions for further verification.

Sources for the Moldova example

Source titles are retained in their original language.

Subsidies and public support

Present agricultural-support sources and documentary requirements while distinguishing programme rules from payments actually made.

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Moldova · national example

The question: A funding announcement or beneficiary list does not establish whether a new applicant is eligible for support.
Possible applications: Identify relevant official information and prepare the documents needed to check a particular programme's conditions.
Evidence required: Current rules, deadlines, criteria, admissible documents and verified payment data with reference periods are required.
Potential data providers: AIPA and MAIA provide programme and payment information, while applicants supply records relating to their own farms.
Method and interpretation: Analysis retains rule versions and distinguishes applications, authorization and payment without unwarranted disclosure of personal information.
Possible outputs: Planned programme summaries and checklists will show sources, deadlines and information that still needs to be obtained.

Sources for the Moldova example

Source titles are retained in their original language.

Agricultural infrastructure and logistics

Organize information on irrigation, storage, machinery and logistical access to assess the conditions supporting agricultural production.

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Moldova · national example

The question: An asset shown on a map or in a census does not confirm available capacity or its current operating condition.
Possible applications: Identify assets requiring verification before planning investment, crop collection or expansion of cultivated areas.
Evidence required: Coordinates, technical condition, usable capacity, ownership, access, costs and the date of the latest inspection are required.
Potential data providers: ANIF, infrastructure operators, local authorities and BNS can provide inventories, statistics and updated asset records.
Method and interpretation: Assessment relates dated inventories to local needs without treating designed capacity as capacity actually available.
Possible outputs: Planned infrastructure maps and profiles will show verified capacities, evidence gaps and checks that remain necessary.

Sources for the Moldova example

Source titles are retained in their original language.

Professional reports

Prepare reproducible reports that retain the selected territory, period, indicators and their sources.

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Moldova · national example

The question: A reproducible report allows values to be checked and results to be shared with their sources and limitations.
Possible applications: Compare published indicators and document analytical context before drawing conclusions about any particular agricultural business.
Evidence required: Extending these reports requires admitted sources and verified methods with compatible periods and statistical populations.
Potential data providers: BNS supplies the baseline statistics, while TerraScore presents selections and provenance without changing original source values.
Method and interpretation: Exports preserve units, source symbols and selection identity using the same baseline as the statistical view.
Possible outputs: Receive documents and data files containing values, sources and limitations suitable for review and reproduction.

Sources for the Moldova example

Source titles are retained in their original language.

Open tool · Moldova ↗

Institutional integration

Define authorized data exchange between institutions, laboratories and farms with explicit responsibilities and permitted uses.

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Moldova · national example

The question: Public access to a page does not automatically authorize institutional integration or the transfer of private data.
Possible applications: Establish the provider, purpose, frequency, rights and review procedure before activating each data-exchange connection.
Evidence required: Agreements, data classification, verified identities, permissions, protocols, retention rules and procedures for revoking access are required.
Potential data providers: Data-holding institutions, laboratories and participating organizations establish supply through agreements, without any partnerships being presumed.
Method and interpretation: Data contracts separate official public information from private evidence and provide for validation, provenance and audit.
Possible outputs: Planned outputs include exchange agreements, data dictionaries and reports on quality, authorization and completed updates.

Sources for the Moldova example

Source titles are retained in their original language.

Decision support

Connect a specific agricultural question with relevant factors, available evidence and uncertainties that affect interpretation.

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Moldova · national example

The question: Water, production and investment decisions require different factors and cannot rely on the same universal score.
Possible applications: Choose the next justified investigation or comparison and identify situations where the evidence cannot support a conclusion.
Evidence required: The decision objective, compatible local data, alternatives, constraints, costs and accepted assessment criteria are required.
Potential data providers: Users, data institutions and domain experts can contribute context and review under documented responsibilities.
Method and interpretation: Analysis explains required, available and missing factors while examining confounders, scale, timing and uncertainty in each relationship.
Possible outputs: Planned outputs include traceable explanations, admissible comparisons and verification steps explaining why unsupported conclusions cannot be drawn.

Sources for the Moldova example

Source titles are retained in their original language.

04 / TerraScore

Connected perspectives

Territorial intelligence: soil, climate, land, water and agricultural evidence assembled with provenance and uncertainty.

Land

Climate

Water

Agriculture

Environment

The TerraScore approach preserves the distinction between observation, model, estimate and scenario. Coverage and uncertainty travel with every interpretation.

05 / TerraScore

One shared foundation

National data. Common tools. Clear evidence.

National sources & geographyScientific methods & validationMaps, comparisons & reports

From observation to better decisions

Land and soil, climate and weather, water, crops, environmental risks and territorial comparisons — connected through country-specific data adapters.

Observe

Identify the source and period.

Analyze

Read indicators and their limits.

Compare

Compare compatible territories.

Model

Explore explicit scenarios.

Document

Keep sources with the result.

Improve

Review with local expertise.

Data & methodology

A traceable path from question to evidence

Question / territory
Authorized data sources
Validation & harmonization
Scientific indicators & scenarios
Maps, comparisons & reports
Expert review & improvement

Observations, calculations and scenarios remain distinct. Statistical territories are not individual farms. Country-specific methods need local validation.

Sources and periods. Each dataset has its own origin, spatial support, time period and processing method; coverage is not uniform across all indicators.

Calculations and assumptions. A result calculated from real inputs is different from a measurement. Estimated inputs and user scenarios are identified explicitly.

Limits that matter. Missing inputs remain missing. A climate indicator is not a probability of loss; reference evapotranspiration is not an irrigation prescription or proof of available water.

Reproducible reports. Available exports retain the source, method, units and assumptions of the corresponding result. Check the report's own coverage before using it.

Is this an official or lending decision?

No. TerraScore supports analysis and a documented discussion. It does not establish official drought, legal water access, crop damage, or a credit or insurance decision.

06 / Our network

A world view. Local knowledge.

01 — WORLD

TerraScore.world

Find your place in the TerraScore network.

02 — Global regions

Our network

Explore regional context and opportunities for cooperation.

03 — Public national portals

Choose a country

Use country-specific sources, languages and available tools.

07 / Contact

Bring us a dataset. Or bring us a challenge.

02 / ORGANISATIONS & PRIVATE CLIENTS

Commission analysis for your territory.

Request a study for Argentina, a district in Africa, a national agricultural portal or a custom data-processing workflow. We evaluate the question, sources, restrictions and feasible deliverables before any proposal.

Land, climate, drought and vegetation analysis
Water-demand and irrigation scenarios
National/regional portals and dashboards

Discuss an application ↗

Opens your email application. You review and send the message yourself.

01 / DATA & TECHNOLOGY PROVIDERS

Your data can become useful intelligence.

Propose satellite imagery, geographic layers, regional statistics, new methods, algorithms or expert validation. We review provenance, rights and the feasibility of integration before any cooperation is claimed.

Satellite / remote-sensing layers
Meteorology, soils, water and GIS datasets
Research methods, validation and scientific review

Offer data ↗

Opens your email application. You review and send the message yourself.

Country list

Choose a region, then a country. Review its destination before you go.

Europe52

Albania

Regional information and cooperation. Country-specific tools and data are described on their own portals.

Destination languages: English

terrascore.eu

Understand a place.See the bigger picture.

One entrance. A growing network.

Europe

United States

Africa

Asia

Latin America & the Caribbean

Information for everyone

Public national portals

TerraScore directions

Land and territories

National and territorial passports

Field and farm passports

Land use and land cover

Land degradation and erosion

Administrative geography and cadastral information

Agriculture

Agricultural production and yield

Varieties, hybrids and growth stages

Crop management and rotation

Nutrients and fertilizer analysis

Plant health, diseases and pests

Livestock, pasture and feed resources

Climate and water

Weather and climate monitoring

Historical climate and anomalies

Drought, frost and heat stress

Hydrology and official warnings

Soil moisture and water balance

Irrigation requirements

Irrigation infrastructure

Groundwater, reservoirs and water availability

Environment

Soil properties

Environmental hazards

Agricultural environmental pollution

Vegetation and seasonal development

Floods and fires

Soil and ecosystem restoration

Damage and risk

Agricultural damage assessment

Field inspections and observations

District profiles for risk analysis

Agricultural risk indicators

Index-based protection

Parametric compensation scenarios

Historical damage and disasters

Economics and institutional intelligence

Production costs

Irrigation energy costs

Agricultural prices

Agricultural insurance

Subsidies and public support

Agricultural infrastructure and logistics

Professional reports

Institutional integration

Decision support

Connected perspectives

Land

Climate

Water

Agriculture

Environment

One shared foundation

From observation to better decisions

Observe

Analyze

Compare

Model

Document

Improve

A traceable path from question to evidence

Is this an official or lending decision?

A world view. Local knowledge.

TerraScore.world

Our network

Choose a country

Bring us a dataset. Or bring us a challenge.

Commission analysis for your territory.

Your data can become useful intelligence.

Understand a place.
See the bigger picture.