Glossary🔗
NDVI (Normalized Difference Vegetation Index)🔗
Index that measures vegetation health based on visible and near-infrared light reflectance. Values range from -1 to 1, with higher values indicating denser, healthier vegetation.
LR images🔗
Image resolutions: MR (Medium Resolution) and LR (Low Resolution). Define the spatial detail level of the NDVI data used.
MR images🔗
Medium Resolution imagery are satellite optical images with a resolution ranging from 10m to 30m.
Season Duration🔗
Duration of the crop season, in days, used to calculate cumulative NDVI.
Season Start Day / Month🔗
Day and month marking the beginning of the crop season. Define the starting point for NDVI accumulation.
Threshold🔗
NDVI value used as a cutoff to determine relevant vegetative activity.
End Date🔗
Date until which the in-season NDVI is accumulated.
Potential Score🔗
Indicator of the productive potential of an area based on cumulative NDVI during the season.
Historical Potential Score🔗
Mean of potential scores from previous seasons.
In-season Potential Score🔗
Cumulative NDVI-based score for the current season up to the specified end date.
Relative Potential Score🔗
Ratio (in %) of in-season score to historical potential score.
WKT (Well-Known Text)🔗
Standard format for representing spatial geometries such as polygons, points, and lines.
AOI (Area of Interest)🔗
User-defined area for analysis. Usually defined as WKT.
ESPG code🔗
EPSG codes are numerical codes associated with coordinate system definitions. For example, the EPSG code: 4326 matches with WGS84 geographical projection and is commonly used.
CAR (Cadastro Ambiental Rural)🔗
Brazilian national public registry integrating environmental information about rural properties, including farm boundaries and environmental features.
INCRA (Instituto Nacional de Colonização e Reforma Agrária)🔗
Federal agency responsible for land reform, land management, and maintaining Brazilian national land databases such as SIGEF and SNCI.
IBAMA (Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais Renováveis)🔗
Federal environmental agency in charge of environmental law enforcement, licensing, and conservation at the national level.
ICMBio (Instituto Chico Mendes de Conservação da Biodiversidade)🔗
Federal agency responsible for managing Brazil's conservation units and biodiversity preservation.
SEMA-MT (Secretaria de Estado de Meio Ambiente de Mato Grosso)🔗
State Secretariat for the Environment in Mato Grosso, responsible for environmental regulation and enforcement.
SEMA (Secretaria de Estado de Meio Ambiente)🔗
State-level Secretariat for the Environment (generic term; each state may have its own, e.g., SEMA-MT).
SIGA-GO (Sistema de Gestão Ambiental de Goiás)🔗
State environmental management system for Goiás, used to track infractions, embargoes, and environmental compliance.
SIGA-MT (Sistema Integrado de Gestão Ambiental de Mato Grosso)🔗
State environmental management system for Mato Grosso.
IAT-PR (Instituto Água e Terra do Paraná)🔗
Environmental institute of Paraná responsible for licensing, monitoring, and conservation activities.
LDI-PA (Lista de Desmatamento Ilegal do Pará)🔗
Official list of farms with illegal deforestation in the state of Pará.
SNCI (Sistema Nacional de Cadastro de Imóveis Rurais)🔗
National Property Certification System developed by INCRA to manage cadastral and geospatial data of rural properties.
SIGEF (Sistema de Gestão Fundiária)🔗
Land Management System developed by INCRA to register and validate georeferenced rural property data.
CPF (Cadastro de Pessoa Física)🔗
Brazilian individual taxpayer registry number issued by the Federal Revenue Service. Used to identify natural persons.
CNPJ (Cadastro Nacional da Pessoa Jurídica)🔗
Brazilian company (legal entity) taxpayer registry number issued by the Federal Revenue Service. Used to identify organizations and companies.
Harvest Detection🔗
The process of identifying the harvest date or readiness based on vegetation index and crop maturity.
Harvest Type🔗
Defines the detection mode: INSEASON_HARVEST, HISTORICAL_HARVEST, or HARVEST_READINESS.
Threshold Start🔗
NDVI value used as a threshold to consider the start of relevant vegetative growth.
Average Potential Score🔗
Mean of historical potential scores over the last five years.
Olympic Mean🔗
Mean calculated by excluding the highest value and NaNs, used to reduce the impact of outliers.
Standard Deviation🔗
Measure of variability in historical potential scores. Higher values indicate greater uncertainty.
Risk Score🔗
Risk index calculated as: (Standard Deviation / Average) × 100. Indicates the stability of potential over time.
Season Break🔗
Boolean indicator showing whether a season's score was significantly below the historical average (less than 70% of the Olympic Mean).
Emergence Date🔗
The date when crop emergence was detected, used as a reference for planted area computation.
Processor Mode🔗
Defines the computation type: PLANTED_AREA for planted area calculation, CONTROL for unplanted area check.
Control Threshold🔗
Percentage threshold for unplanted area in CONTROL mode.
NDVI (Normalized Difference Vegetation Index)🔗
Calculated as (NIR - Red) / (NIR + Red), NDVI measures vegetation health based on the difference between near-infrared and red light reflectance. Values range from -1 to 1, with higher values indicating healthier, denser vegetation. Application: General vegetation health monitoring, biomass estimation, and crop vigor assessment.
EVI (Enhanced Vegetation Index)🔗
A modified vegetation index that corrects for atmospheric conditions and canopy background signals. EVI uses blue, red, and near-infrared bands with correction factors to minimize soil and atmospheric influences. Application: Improved sensitivity in high biomass areas, tropical rainforest monitoring, and areas with dense vegetation where NDVI saturates.
NDWI (Normalized Difference Water Index)🔗
Calculated as (Green - NIR) / (Green + NIR), NDWI measures the water content in vegetation by comparing green and near-infrared reflectance. Higher values indicate higher water content. Application: Water stress detection, irrigation management, and drought monitoring in crops.
NDMI (Normalized Difference Moisture Index)🔗
Calculated as (NIR - SWIR) / (NIR + SWIR), NDMI uses near-infrared and shortwave infrared bands to assess vegetation water content. Values range from -1 to 1, with higher values indicating higher moisture content. Application: Canopy moisture content monitoring, water stress assessment, and fire risk evaluation.
NDRE (Normalized Difference Red Edge)🔗
Calculated as (NIR - Red Edge) / (NIR + Red Edge), NDRE uses the red edge band (around 700-750nm) which is sensitive to chlorophyll content. More responsive to plant health variations than NDVI. Application: Nitrogen content assessment, chlorophyll concentration monitoring, and precision agriculture applications for fertilizer management.
GNDVI (Green Normalized Difference Vegetation Index)🔗
Calculated as (NIR - Green) / (NIR + Green), GNDVI substitutes the green band for the red band in the NDVI formula. More sensitive to chlorophyll concentration variations than NDVI. Application: Chlorophyll content assessment, photosynthetic activity monitoring, and early-stage crop health detection.
S2REP (Sentinel-2 Red Edge Position)🔗
An index that estimates the position of the red edge inflection point in the spectral reflectance curve using Sentinel-2's red edge bands. The red edge position shifts with changes in chlorophyll content. Application: Chlorophyll and nitrogen status assessment, crop health monitoring, and precision agriculture for variable rate application of nutrients.
LAI (Leaf Area Index)🔗
A dimensionless measure representing the total one-sided area of leaf tissue per unit ground surface area. LAI quantifies the amount of leaf material in the canopy and is derived from optical remote sensing data. Application: Canopy structure characterization, biomass estimation, crop growth monitoring, and yield prediction models.
Biomass Index🔗
An index derived from spectral bands to estimate the amount of living plant material (above-ground biomass) in a given area. Various formulations exist using combinations of visible, near-infrared, and shortwave infrared bands. Application: Above-ground biomass estimation, carbon stock assessment, crop productivity monitoring, and yield forecasting.
CAB (Chlorophyll A+B)🔗
A biophysical variable that estimates the total chlorophyll concentration (Chlorophyll A and B combined) in vegetation canopy. Derived through radiative transfer models or empirical relationships from spectral data. Application: Chlorophyll concentration monitoring, photosynthetic capacity assessment, nitrogen status evaluation, and crop health diagnostics.
RVI (Ratio Vegetation Index)🔗
Calculated as NIR / Red, RVI is one of the simplest vegetation indices using the ratio between near-infrared and red reflectance. Values typically range from 0 to more than 10 for vegetation. Application: Simple vegetation assessment, quick biomass estimation, and basic crop monitoring where computational simplicity is preferred.
Dry Bare Soil Index (DBSI)🔗
The analytic uses the Dry Bare Soil Index calculated medium resolution data.
Formula Components: First Term:(SWIR1 - Green) / (SWIR1 + Green)
- Normalized difference using Short-Wave Infrared (SWIR1) and Green bands
- Highlights dry soil and bare surfaces
- Dry soil exhibits high SWIR reflectance, creating positive values
Second Term: (NIR - Red) / (NIR + Red)
- This is essentially the NDVI (1) (Normalized Difference Vegetation Index)
- Measures vegetation greenness and density
- Vegetated areas produce high positive values