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Imaging · collection · 2026

Mature and Old-growth Forest Probability Maps for the Conterminous United States

Listed in NASA Earthdata CMR and NASA Data Portal — shown once because both records carry DOI 10.3334/ornldaac/2498

This dataset contains maps of succession-related forest classes across the conterminous US: mature-forest, old-growth-forest, other-forest, and non-forest.

Description

The three forest classes have also been combined into an all-forest class. The first map type is a predicted, class presence probability map at 1-ha spatial resolution (the native mapping resolution of this study).

The second map type is an aggregated set of class proportion maps at 5-km (25-km2) resolution, representing the proportions of total land area and the proportions of forest land area, for the mature-forest, old-growth-forest, and all-forest classes. To derive these data, a spatial Bayesian modeling framework was developed that integrated U.S. Forest Inventory and Analysis (FIA) plot-level mature and old-growth (MOG) definitions with a stack of data layers derived from both active and passive satellite remote sensing platforms.

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To reduce spatial heterogeneity in predictor response relationships, CONUS was segmented into 29 strata based on forest composition and U.S. Environmental Protection Agency Level II and III ecoregions, while trying to maintain at least 100 plots in each class within any given stratum. Quadratic discriminant analysis (QDA) models were calibrated and applied independently in each stratum, with the FIA plot MOG labels as the response variable and the remote sensing data as predictors.

The maps represent the state of U.S. forests circa 2022, the year that best matches the range of dates used for the remote sensing data, although the inventory data span slightly a wider and earlier range of years of data collection. The data are provided in cloud optimized GeoTIFF (COG) format.

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Catalogue records · 3

Topics

Stated by source
Computer · Forests · MODELS
Inferred from text
Satellite remote sensing 75%
Provenance · 2 source records, 18 field assertions
SourceKeyLast seenRaw
NASA Earthdata CMRC4137379564-ORNL_CLOUD7 d agoJSON v1
NASA Data Portale3e3d89b-bbf6-4815-bcb7-b6fd6d1805264 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NASA CMRconnector:nasa_cmr@1.0.0
concepts[field].local:field:astronomymapping · data nasa govconnector:data_nasa_gov@1.0.0
concepts[field].local:field:earth-environmentalmapping · data nasa govconnector:data_nasa_gov@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · data nasa govconnector:data_nasa_gov@1.0.0
concepts[field].local:field:physicsmapping · data nasa govconnector:data_nasa_gov@1.0.0
concepts[instrument].gcmd_instrument:computersource · NASA CMRconnector:nasa_cmr@1.0.0
concepts[measured_variable].gcmd:earth-science/biosphere/ecosystems/terrestrial-ecosystems/forestssource · NASA CMRconnector:nasa_cmr@1.0.0
concepts[modality].local:modality:remote-sensingenrichment · NASA CMRkeyword-concept-rules@1.0.0title+description (75%)
concepts[platform].gcmd_platform:modelssource · NASA CMRconnector:nasa_cmr@1.0.0
created_datesource · NASA CMRconnector:nasa_cmr@1.0.0
descriptionsource · NASA CMRconnector:nasa_cmr@1.0.0/umm/Abstract
license_textsource · data nasa govconnector:data_nasa_gov@1.0.0
publication_datesource · NASA CMRconnector:nasa_cmr@1.0.0
spatialsource · NASA CMRconnector:nasa_cmr@1.0.0/umm/SpatialExtent
temporalsource · NASA CMRconnector:nasa_cmr@1.0.0/umm/TemporalExtents
titlesource · NASA CMRconnector:nasa_cmr@1.0.0/umm/EntryTitle
updated_datesource · NASA CMRconnector:nasa_cmr@1.0.0
version_labelsource · NASA CMRconnector:nasa_cmr@1.0.0