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GHSL: Global Human Settlement Layers, Built-Up Grid 1975-1990-2000-2015 (P2016)
The GHSL relies on the design and implementation of new spatial data mining technologies allowing to automatically process and extract analytics and knowledge from large amount of heterogeneous data including: global, fine-scale satellite image data streams, census data, and crowd sources or volunteered geographic information … built builtup jrc landsat-derived -
GHSL: Global Human Settlement Layers, Built-Up Characteristics 2018 (P2023A)
The GHS-BUILT-C spatial raster dataset delineates the boundaries of the human settlements at 10m pixel size and describes their inner characteristics in terms of the morphology of the built environment and the functional use. The Morphological Settlement Zone (MSZ) delineates the spatial domain of all … built builtup ghsl jrc landsat-derived -
GHSL: Global Human Settlement Layers, Built-Up Height 2018 (P2023A)
The GHS-BUILT-H spatial raster dataset contains building heights as extracted from the filtering of a composite of global digital elevation models (DEM) and the filtering of satellite imagery using linear regression techniques. The used input DEMs are the ALOS World 3D - 30m (AW3D30, 2006-2011) … built builtup ghsl jrc landsat-derived -
GHSL: Global Human Settlement Layers, Built-Up Surface Grid 1975-2030 (P2023A)
The GHS-BUILT-S spatial raster dataset depicts the distribution of the built-up (BU) surface estimates between 1975 and 2030 in 5 year intervals. The data is made by spatial-temporal interpolation of five observed collections of multiple-sensor, multiple-platform satellite imagery datasets: Landsat (MSS, TM, ETM sensor) data … built builtup ghsl jrc landsat-derived -
GHSL: Global Human Settlement Layers, Built-Up Volume Grid 1975-2030 (P2023A)
The GHS-BUILT-V spatial raster dataset depicts the distribution of the built-up volumes, expressed as number in cubic meters. The dataset contains two bands: the total built-up volume and the built-up volume allocated to dominant nonresidential (NRES). The data is made by spatial-temporal interpolation of satellite … built builtup ghsl jrc landsat-derived -
Tsinghua FROM-GLC Year of Change to Impervious Surface
This dataset contains annual change information of global impervious surface area from 1985 to 2018 at a 30m resolution. Change from pervious to impervious was determined using a combined approach of supervised classification and temporal consistency checking. Impervious pixels are defined as above 50% impervious. … built tsinghua urban
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