Global Man-made Impervious Surface (GMIS) Dataset From Landsat

The Global Man-made Impervious Surface (GMIS) Dataset From Landsat consists of global estimates of fractional impervious cover derived from the Global Land Survey (GLS) Landsat dataset for the target year 2010. The GMIS dataset consists of two components: 1) global percent of impervious cover; and 2) per-pixel associated uncertainty for the global impervious cover. These layers are co-registered to the same spatial extent at a common 30m spatial resolution. The spatial extent covers the entire globe except Antarctica and some small islands. This dataset is one of the first global, 30m datasets of man-made impervious cover to be derived from the GLS data for 2010 and is a companion dataset to the Global Human Built-up And Settlement Extent (HBASE) dataset. The dataset is expected to have a rather broad spectrum of users, from those wishing to examine/study the fine details of urban land cover over the globe at full 30m resolution to global modelers trying to understand the climate/environmental impacts of man-made surfaces at continental to global scales. For example, the data are applicable to local modeling studies of urban impacts on the energy, water, and carbon cycles, as well as analyses at the individual country level.

Data and Resources

Additional Info

Field Value
Maintainer undefined
Last Updated July 17, 2025, 15:25 (UTC)
Created March 31, 2025, 17:54 (UTC)
accessLevel public
bureauCode {026:00}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_@id https://data.nasa.gov/data.json
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citation Brown de Colstoun, E. C., C. Huang, P. Wang, J. C. Tilton, B. Tan, J. Phillips, S. Niemczura, P.-Y. Ling, and R. E. Wolfe. 2017-12-06. Global Man-made Impervious Surface (GMIS) Dataset From Landsat. Version 1.00. Palisades, NY. Archived by National Aeronautics and Space Administration, U.S. Government, NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4P55KKF. https://doi.org/10.7927/H4P55KKF.
creator Brown de Colstoun, E. C., C. Huang, P. Wang, J. C. Tilton, B. Tan, J. Phillips, S. Niemczura, P.-Y. Ling, and R. E. Wolfe
graphic-preview-description Maps Download Page
graphic-preview-file https://sedac.ciesin.columbia.edu/data/set/ulandsat-gmis-v1/maps
harvest_object_id fbd304df-543f-4447-8a2b-19d5c75e2e91
harvest_source_id 61638e72-b36c-4866-9d28-551a3062f158
harvest_source_title DNG Legacy Data
identifier C1517102461-SEDAC
issued 2017-12-06
language {en-US}
metadata_type geospatial
modified 2017-12-06
programCode {026:001}
publisher SEDAC
references {https://doi.org/10.7927/H4JD4TVQ,https://doi.org/10.7927/H4DN434S}
release-place Palisades, NY
resource-type Dataset
source_datajson_identifier true
source_hash 875f84a75f1bd1280de4155a5881655529edf7a67664aaf2c2e9eba939d8ea44
source_schema_version 1.1
spatial -180.0 -58.349605 180.0 82.78837
temporal 2010-01-01T00:00:00Z/2010-12-31T00:00:00Z
theme {ULANDSAT,geospatial}