NASA Earthdata CMR + NASA Data Portal2026 · Image data
An integrated Wildfire Event Dataset (iWED), Version 1, Continental U.S., 1992-2021This dataset provides an integrated Wildfire Event Dataset (iWED version 1) for wildfire events of 100 ha or more in area from 1992 to 2021 for the continental US. Fire information was compiled from a variety of state, regional, and federal-level agencies responsible for filing and archiving incident level reports. Additional information was obtained from the Monitoring Trends in Burn Severity (MT
NASA Earthdata CMR + NASA Data Portal2026 · Image data
North American Land Carbon Reanalysis, 2012-2024This dataset provides a gridded ensemble of continental-scale carbon and water budgets at 0.00833-degree (~1 km) resolution across North America from 2012 to 2024. The data streams were generated using a hybrid State Data Assimilation (SDA) framework implemented within the Predictive Ecosystem Analyzer (PEcAn v1.10.0). The system integrates the process-based Simplified Photosynthesis and Evapotran
NASA Earthdata CMR2026 · collection
Applying Year of Polar Prediction-Southern Hemisphere (YOPP-SH) Targeted Observing Periods to Advance Winter Numerical Weather Forecasting for the U.S. Antarctic ProgramThe project aims to promote the progress of science and advance national interests in improved numerical weather modeling capabilities for American researchers and for the United States Antarctic Program. The effort consists of atmospheric modeling work leveraging the international Year of Polar Prediction — Southern Hemisphere program. This effort includes a field campaign component in 2022 that
NASA Earthdata CMR + NASA Data Portal2026 · Image data
Lakes, Ponds, and Partial Inundation in the Yukon Kuskokwim Delta, AK, 2019-2023This dataset provides high resolution (3 m) maps delineating open water and partial inundation in the Yukon-Kuskokwim Delta (YKD), Alaska, and a database that tracks rapid changes in surface area for individual lakes and ponds over 2019-2023. The dataset was built using daily PlanetScope imagery (3 m), allowing for tracking changes in surface water extent at high spatial and temporal resolutions.
NASA Earthdata CMR + NASA Data Portal2026 · Image data
Circumpolar Fire Polygons with NBR, dNBR, RdNBR Metrics and Ecoregions, 1986-2020This dataset contains polygons of retrievable fire boundaries across the circumpolar region attributed with pre-fire and post-fire normalized burn ratio (NBR), differenced normalized burn ratio (dNBR), relative differenced normalized burn ratio (RdNBR), and terrestrial ecoregions. The dataset is separated into three regions: North America, Europe, and Asia; each saved in an appropriate projection
NASA Earthdata CMR + NASA Data Portal2025 · Image data
Baseline Wetland Type and Land Cover Map of the Great Lakes Basin, 2010This dataset holds maps of land cover and wetland ecotype for the Great Lakes Basin (GLB) circa 2010. The data were derived from multi-season L-band SAR, Landsat 5 optical imagery, and thousands of field training data samples. The dataset includes detailed landcover maps of shorelines of each of five Great Lakes along with a land cover map of the entire GLB. This is the first binational map of the
NASA Earthdata CMR + NASA Data Portal2025 · Image data
Greater Kruger National Park, GEDI Canopy Metrics, 2007-2024This dataset contains vegetation canopy metrics for the Greater Kruger National Park region of South Africa for 2007-2010 and 2015-2024. Metrics include relative height 98th percentile (RH98), fractional canopy cover, and foliage height diversity. This dataset contains vegetation canopy metrics for the Greater Kruger National Park region of South Africa. Metrics include relative height 98th percen
NASA Earthdata CMR + NASA Data Portal2025 · Astronomical catalogue
NASA Short-term Prediction Research and Transition (SPoRT) Land Information System (LIS)The Short-term Prediction Research and Transition Land Information System (SPoRT-LIS) is a gridded observations-driven run of the Noah land surface model (LSM) in both reanalysis and real-time mode. The long-term climatology and real-time solution is driven by the North American Land Data Assimilation System – version 2. The SPoRT-LIS consists of a 1929 x 929 grid of the Noah LSM at 0.03-deg grid
NASA Earthdata CMR + NASA Data Portal2025 · Image data
Mangrove Extent Baseline from Landsat MSS, 1972-1977This dataset includes a regional map of mangrove extent for Myanmar, Thailand, and Cambodia for the period of 1972-1977. The map was developed from Landsat 1-2 MSS Collection 1 Tier 2 imagery. Mangrove extent was generated using a Random Forest machine learning algorithm that effectively mapped a total of 15,420.51 km2 at the nominal Landsat scale of 30 m. This map of mangrove extent served as a b
NASA Earthdata CMR + NASA Data Portal2025 · Image data
GEDI-FIA Fusion: Training Lidar Models to Estimate Forest AttributesThis dataset includes interpolated cumulative waveforms, with uncertainties, over national forest inventory (FIA) field plots across the contiguous United States. The predicted waveforms are for the Global Ecosystem Dynamics Investigation (GEDI) instrument, which produces high resolution laser ranging observations of the 3D structure of the Earth. GEDI's data provides precise measurements of fores
NASA Earthdata CMR + NASA Data Portal2025 · Image data
Forest Aboveground Biomass for Maine, 2023This dataset holds estimates of forest aboveground biomass (AGB) for Maine, USA, in 2023. AGB was estimated using airborne LiDAR data from the USGS 3DEP project and a deep learning convolutional neural network (CNN) model. The airborne LiDAR datasets used in this mapping were collected in different years. The CNN model was calibrated using plot-level forest inventory data with precise location mea
NASA Earthdata CMR + NASA Data Portal2025 · Image data
ABoVE: Landsat-derived Annual Dominant Land Cover in Boreal North America, 1986-2020This dataset contains a 30-m resolution time series of annual land cover classifications as the dominant plant functional type class for all of boreal Alaska and Canada from 1986 to 2020. The data were derived from a time series of Landsat Collection 2 Surface Reflectance and processed using the Continuous Change Detection and Classification (CCDC) algorithm. This dataset includes a nine-class lan
NASA Earthdata CMR + NASA Data Portal2025 · Image data
Aboveground Biomass for Howland Forest, Maine, 2012-2023This dataset holds aboveground biomass (AGB) estimates at 10-m spatial resolution for the Howland Research Forest in central Maine for 2012, 2015, 2017, 2021, and 2023. Forest inventory data were collected using 50 fixed-area plot sampling during the summers of 2021, 2023, and 2024. Plots included permanent inventory plots around existing flux towers and additional plots to ensure representation o
NASA Earthdata CMR + NASA Data Portal2025 · Image data
Amazon Forest Structure from Airborne Lidar, ED2 Initial Condition Files, 2016This dataset provides initial condition files for initializing the Ecosystem Demography Model (ED2). This dataset holds regional forest structure characteristics across the Brazilian Amazon that were derived from 545 airborne lidar transects (300 x 12500 m each) acquired during the Amazon Biomass Estimation Project (EBA2016) campaign in 2016. These data contain vertical distributions of stem densi
NASA Earthdata CMR + NASA Data Portal2025 · Image data
BlueFlux: Modeled Daily CO2 and CH4 Wetland Fluxes, Southern Florida, 2000-2024This dataset contains gridded estimates of carbon dioxide (CO2) and methane (CH4) fluxes at daily resolution covering the Southern Florida region from 2000 to 2024. Gridded CO2 and CH4 flux prototype products at 500-m spatial resolution were derived from a machine learning model based on eddy covariance (EC) measurements from 1) airborne fluxes collected seasonally with the NASA Carbon Airborne Fl
NASA Earthdata CMR + NASA Data Portal2025 · Image data
GeoCryoAI: Ensemble Learning and the Permafrost Carbon Feedback in Alaska, 1963-2022This dataset provides model code, input data, sample results, and documentation for an artificial intelligence-driven model, GeoCryoAI. GeoCryoAI is a hybridized process-constrained ensemble learning framework consisting of stacked convolutionally layered long short-term memory-encoded recurrent neural networks. The purpose of GeoCryoAI is to quantify permafrost thaw dynamics and greenhouse gas em
NASA Earthdata CMR + NASA Data Portal2025 · Image data
TM5-4DVAR Global Monthly Source-disaggregated Methane Emissions, 1999-2016This dataset holds estimates of methane emissions derived from a dual tracer inversion of atmospheric measurements of CH4 mole fractions and d13CH4 isotopic values. The measurements were assimilated in the TM5 4-Dimensional Variational (TM5-4DVAR) source-sink inversion system to estimate methane emissions from fossil fuel, microbial, and pyrogenic sources. These estimates include monthly means of
NASA Earthdata CMR + NASA Data Portal2025 · Array ·
High-Impact Weather Assessment Toolkit (HIWAT)The High Impact Weather Assessment Toolkit (HIWAT) uses a mesoscale numerical weather prediction model and the Global Precipitation Measurement (GPM) constellation of satellites. The toolkit includes a suite of ensemble model forecasts to constrain uncertainties and provide a probabilistic forecast for improved decision-making. The toolkit provides outlooks for lightning strikes, high-impact winds
NASA Earthdata CMR + NASA Data Portal2025 · Image data
Potential Areas of Gas Seepage Detected by SAR in Lakes near Fairbanks, AlaskaThis dataset includes maps and locations of potential gas seepage in lakes within the immediate and surrounding area around Fairbanks, Alaska, a region underlain by discontinuous permafrost and characterized by thermokarst lake formation. Gas bubbling from lakes in the Fairbanks area is usually rich in methane, a potent greenhouse gas that is difficult to quantify. A new remote sensing method was
NASA Earthdata CMR + NASA Data Portal2024 · Image data
Delta-X: NUMAR Soil Accretion Modeled to 2100, MRD, Louisiana, USAThis dataset holds modeled estimates of soil accretion for the Atchafalaya and Terrebonne basins in the Mississippi River Delta of coastal Louisiana, U.S. Soil accretion was predicted from 2021-2100 using the Numerical Understanding of Marsh Accretion Resilience (NUMAR) model. This process-based model is an adaptation of the NUMAN model that was modified for marsh environments. The input parameter
NASA Earthdata CMR + NASA Data Portal2024 · Image data
Machine learning-based Arctic-boreal terrestrial ecosystem CO2 fluxes, 2001-2020This dataset provides gridded estimates of gross primary productivity (GPP), ecosystem respiration (Reco), and net ecosystem CO2 exchange (NEE) across the circumpolar terrestrial Arctic-boreal region at a 1-km spatial resolution. Monthly CO2 flux data from 2001 to 2020 were generated using terrestrial eddy covariance and chamber CO2 flux observations, combined with geospatial meteorological, remot
NASA Earthdata CMR + NASA Data Portal2024 · Image data
Land Use and Land Cover Change Projection in the ABoVE DomainThis dataset provides projections of land use and land cover (LULC) change within the Arctic Boreal Vulnerability Experiment (ABoVE) domain, spanning from 2015 to 2100 with a spatial resolution of 0.25 degrees. It includes LULC change under two Shared Socioeconomic Pathways (SSP126 and SSP585) derived from Global Change Analysis Model (GCAM) at an annual scale. The specific land types include: nee
NASA Earthdata CMR + NASA Data Portal2024 · Image data
ATom: Development of Cloud Indicator Algorithm Using Airborne Observations from CAPSThis dataset is the basis for the development of the Cloud Indicator, a novel algorithm that automatically detects and classifies measurement periods inside clouds. The included data were used in the analysis and development of figures for the related publication. The Cloud Indicator algorithm was developed based on particle size distribution measurements from a second-generation Cloud, Aerosol, a
NASA Earthdata CMR + NASA Data Portal2024 · Image data
Delta-X: NUMAR Predictive Model for Marsh Accretion Rates and Chemical PropertiesThis dataset provides input data and model code to run the Marsh Accretion Rates (NUMAR) process model used to predict soil accretion rates and chemical properties for marsh sites in the Mississippi River Delta. NUMAR is a modification of the NUMAN model by Chen and Twilley (1999) that was developed for mangrove environments. This dataset provides Python code, input data in comma separated values
NASA Earthdata CMR + NASA Data Portal2024 · Image data
CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.3.3)This dataset provides global monthly wetland methane (CH4) emissions estimates at 0.5 by 0.5-degree resolution for the period 2001-01-01 to 2022-08-31 that were derived from an ensemble of multiple terrestrial biosphere models, wetland extent scenarios, and CH4:C temperature dependencies that encompass the main sources of uncertainty in wetland CH4 emissions. There are 18 model configurations. Wet