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- Normalized Difference Vegetation Index (NDVI) - NASA Earthdata
Vegetation indices are used to remotely examine vegetation over a given area One commonly-used index is the Normalized Difference Vegetation Index (NDVI), which uses the difference between near-infrared (NIR) and red reflectance from the Earth's surface, divided by their sum In healthy photosynthesizing plants, chlorophyll - the main pigment involved in photosynthesis - strongly reflects NIR
- Use Remote Sensing Data to Study Vegetation Dynamics
Overview Remote sensing data can be used to study vegetation dynamics, such as plant healthiness Like all objects, plants have unique spectral characteristics, and this information can be interpreted from remote sensing data to determine a plant’s condition
- Vegetation Index - NASA Earthdata
Vegetation indices measure the amount of green vegetation over a given area and can be used to assess vegetation health NASA’s Earth-observing satellites collect several different vegetation indices, including Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Leaf Area Index (LAI), and Fraction of Photosynthetically Active Radiation (FPAR)
- Impacts of the Largest Dam in China on the Local Vegetation Cover
An increase in dense vegetation cover is observed in elevation zones 2 and 3 (175 to 775 meters) The authors attribute the change in vegetation cover type to a possible increase in local atmospheric moisture and resulting precipitation caused by the construction of the Three Gorges Dam and the rising of the Yangtze River
- Global Vegetation Greenness (NDVI) from AVHRR GIMMS-3G+, 1981-2022
Description This dataset holds the Global Inventory Modeling and Mapping Studies-3rd Generation V1 2 (GIMMS-3G+) data for the Normalized Difference Vegetation Index (NDVI) NDVI was based on corrected and calibrated measurements from Advanced Very High Resolution Radiometer (AVHRR) data with a spatial resolution of 0 0833 degree and global coverage for 1982 to 2022 Maximum NDVI values are
- MODIS Terra Vegetation Continuous Fields Yearly L3 Global . . . - Earthdata
The MOD44B Version 6 Vegetation Continuous Fields (VCF) yearly product is a global representation of surface vegetation cover as gradations of three ground cover components: percent tree cover, percent non-tree cover, and percent non-vegetated (bare) VCF products provide a continuous, quantitative portrayal of land surface cover at 250 meter (m) pixel resolution, with a sub-pixel depiction of
- Solar Induced Fluorescence (SIF) Observations for Assessing Vegetation . . .
Solar Induced Fluorescence (SIF) Observations for Assessing Vegetation Changes Related to Floods, Drought, and Fire Impacts This ARSET training discusses the use of a remote sensing measure of photosynthesis to study the impact of extreme weather on cropland and ecosystems
- Vegetation Near Real-Time Data - NASA Earthdata
Near real-time data provided by NASA's Land, Atmosphere Near real-time Capability for Earth observation (LANCE) can be used to monitor vegetation and crop conditions
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