AI-generated Key Takeaways
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This collection of datasets provides various environmental metrics for the Conterminous United States (CONUS).
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Included are drought indices, climate model outputs, and estimations of primary production (GPP & NPP).
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Data sources include Landsat, MODIS, and GRIDMET, offering diverse perspectives on ecosystem dynamics.
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The datasets can be used for monitoring drought, analyzing climate change impacts, and studying carbon cycles in CONUS.
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Statistical downscaling methods are applied to some datasets for improved spatial resolution and bias removal.
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GRIDMET DROUGHT: CONUS Drought Indices
This dataset contains drought indices derived from the 4-km daily Gridded Surface Meteorological (GRIDMET) dataset. The drought indices provided include the standardized precipitation index (SPI), the evaporative drought demand index (EDDI), the standardized precipitation evapotranspiration index (SPEI), the Palmer Drought Severity Index (PDSI) and Palmer … climate conus crop drought evapotranspiration geophysical -
Landsat Gross Primary Production CONUS
The Landsat Gross Primary Production (GPP) CONUS dataset estimates GPP using Landsat Surface Reflectance for CONUS. GPP is the amount of carbon captured by plants in an ecosystem and is an essential component in the calculations of Net Primary Production (NPP). GPP is calculated using … 16-day conus gpp gridmet-derived landsat mod17 -
Landsat Net Primary Production CONUS
The Landsat Net Primary Production (NPP) CONUS dataset estimates NPP using Landsat Surface Reflectance for CONUS. NPP is the amount of carbon captured by plants in an ecosystem, after accounting for losses due to respiration. NPP is calculated using the MOD17 algorithm (see MOD17 User … conus gridmet-derived landsat mod17 nlcd-derived npp -
MACAv2-METDATA Monthly Summaries: University of Idaho, Multivariate Adaptive Constructed Analogs Applied to Global Climate Models
The MACAv2-METDATA dataset is a collection of 20 global climate models covering the conterminous USA. The Multivariate Adaptive Constructed Analogs (MACA) method is a statistical downscaling method which utilizes a training dataset (i.e. a meteorological observation dataset) to remove historical biases and match spatial patterns … climate conus geophysical idaho maca monthly -
MACAv2-METDATA: University of Idaho, Multivariate Adaptive Constructed Analogs Applied to Global Climate Models
The MACAv2-METDATA dataset is a collection of 20 global climate models covering the conterminous USA. The Multivariate Adaptive Constructed Analogs (MACA) method is a statistical downscaling method which utilizes a training dataset (i.e. a meteorological observation dataset) to remove historical biases and match spatial patterns … climate conus geophysical idaho maca monthly -
MODIS Gross Primary Production CONUS
The MODIS Gross Primary Production (GPP) CONUS dataset estimates GPP using MODIS Surface Reflectance for CONUS. GPP is the amount of carbon captured by plants in an ecosystem and is an essential component in the calculations of Net Primary Production (NPP). GPP is calculated using … 8-day conus gpp gridmet-derived mod09q1 mod17 -
MODIS Net Primary Production CONUS
The MODIS Net Primary Production (NPP) CONUS dataset estimates NPP using MODIS Surface Reflectance for CONUS. NPP is the amount of carbon captured by plants in an ecosystem, after accounting for losses due to respiration. NPP is calculated using the MOD17 algorithm (see MOD17 User … conus gridmet-derived mod09q1 mod17 modis nlcd-derived -
USFS TreeMap v2016 (Conterminous United States)
This product is part of the TreeMap data suite. It provides detailed spatial information on forest characteristics including number of live and dead trees, biomass, and carbon across the entire forested extent of the continental United States in 2016. TreeMap v2016 contains one image, a … biomass carbon climate-change conus forest forest-biomass -
USFS TreeMap v2020
This product is part of the TreeMap data suite. It provides detailed spatial information on forest characteristics including number of live and dead trees, biomass, and carbon across the entire forested extent of the United States in 2020. TreeMap v2020 contains 22-band 30 x 30m … aboveground biomass carbon climate-change conus forest -
USFS TreeMap v2022
This product is part of the TreeMap data suite. It provides detailed spatial information on forest characteristics including number of live and dead trees, biomass, and carbon across the entire forested extent of the United States in 2022. TreeMap v2022 contains 22-band 30 x 30m … aboveground biomass carbon climate-change conus forest