USDA Federal Research ARS Β· NASA Β· NRCS β€” Hyperspectral imaging science data connected USDA ARS Remote Sensing Research Β· NASA Applied Sciences
One Farmer. One Stack.
SF6-S Β· Hyperspectral Imaging Science Β· Patent Pending US 63/970,943

πŸ›°οΈ Hyperspectral Imaging Science

NDVI, NDRE, GNDVI, EVI, SAVI, and CWSI remote sensing indices β€” precision vegetation health scoring grounded in USDA ARS and NASA remote sensing research standards.

SF6-S.001 NDVI ModelSF6-S.002 NDRE ModelSF6-S.003 GNDVI ModelSF6-S.004 EVI ModelSF6-S.005 SAVI ModelSF6-S.006 CWSI Model
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Fetch USDA ARS Remote Sensing DataLoad vegetation index benchmarks & crop stress data
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EconomicsSF6 drone ROI & remote sensing economics
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Chat ModeAI-guided calculation
🛰️ USDA Live Data — Crop Yields & Remote Sensing LIVE DATA Select source → auto-populate calculators
Fetch one source or load all at once
NASS Yields: not loaded | CDL Acreage: not loaded | VegScape NDVI: not loaded
🌽 NASS Yields & Prices
🗺️ Cropland Data Layer
📊 VegScape NDVI
🌽 USDA NASS — Crop Yields & Prices Received

Live USDA NASS crop yields and prices by state and year. Provides real-world yield context for interpreting spectral stress index outputs from SF6 calculators.

Select crop, state, and year then click Load Yields.

Source: USDA NASS QuickStats API — Crop yield & price survey data

🗺️ USDA NASS — Cropland Data Layer (CDL)

USDA NASS Cropland Data Layer — planted acreage by crop type and state. Provides land cover context for spectral index analysis and crop identification from satellite imagery.

Select crop, state, and year then click Load CDL Data.

Source: USDA NASS CropScape / Cropland Data Layer

📊 USDA NASS VegScape — Vegetation Condition & NDVI Anomaly

USDA NASS VegScape weekly NDVI and vegetation condition data from MODIS satellite imagery. Provides national and state-level NDVI anomaly benchmarks to contextualize field-level spectral index readings.

Select state then click Load NDVI Data.

Source: USDA NASS VegScape — Vegetation Condition Explorer

🌿 NDVI Calculator

Model SF6-S.001

Normalized Difference Vegetation Index for crop health and biomass.

🌿 Ask about this calculator

🌱 NDRE Calculator

Model SF6-S.002

Normalized Difference Red Edge for nitrogen status and crop stress.

🌱 Ask about this calculator

πŸƒ GNDVI Calculator

Model SF6-S.003

Green NDVI for chlorophyll content. More sensitive than NDVI mid-late season.

πŸƒ Ask about this calculator

πŸ“ˆ Enhanced Vegetation Index (EVI)

Model SF6-S.004

EVI improves sensitivity in high biomass regions and reduces atmospheric and soil background influences using blue band correction.

Standard: 2.5
Red aerosol coefficient
Blue aerosol coefficient
Standard: 1.0
πŸ“ˆ Ask about this calculator

πŸ”¬ Soil-Adjusted Vegetation Index (SAVI)

Model SF6-S.005

SAVI minimizes soil brightness effects in areas with sparse vegetation using a soil brightness correction factor.

L adjusts for vegetation density. Standard: 0.5
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πŸ’§ Crop Water Stress Index (CWSI)

Model SF6-S.006

Detect crop water stress using canopy-air temperature differential and vapor pressure deficit for irrigation scheduling.

Typical: -1 to -3Β°C for well-watered crops
Typical: 4-8Β°C for non-transpiring canopy
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Why AgrStak 🌾 HSI?

Aligned with USDA Secretary Rollins' Priority #1: Increasing Production & New Uses. AgrStak's HSI calculators transform complex spectral analysis into practical vegetation indices and crop stress metrics for farmers, agronomists, and remote sensing professionals.

For Precision Ag Specialists & Agronomists
Research-grade.
Field-scale.
βœ“  USDA ARS remote sensing research
βœ“  NDVI & NDRE vegetation indices
βœ“  EVI & SAVI enhanced models
βœ“  CWSI crop water stress index
βœ“  NASA applied sciences standards
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For Institutions & Enterprise
SF6-E drone ROI & remote sensing economics
βœ“  Team collaboration & multi-user access
βœ“  API integration available
βœ“  Custom enterprise plans
βœ“  Patent Pending β€” US App 63/970,943
View Enterprise Plans β†’
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SF6 Hyperspectral Imaging Science AI
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Ask me anything
Ask about NDVI, NDRE, GNDVI, EVI, SAVI, CWSI, or any remote sensing vegetation index.