4b). Our automated change map corresponds well with the mapped fire extent from the California Department of Forestry and Fire Protection (www.fire.ca.gov), while at the same time the annual maps are consistent in areas not affected by the fires, where no changes are expected. While the ...
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getFilenameFromUri getGlslType getImagePixels getSourceValueStringComponent getSourceValueStringScalar getTimestamp Globe GlobeTranslucency GltfGpmLocal GoogleEarthEnterpriseImageryProvider GoogleEarthEnterpriseMapsProvider GoogleEarthEnterpriseMetadata GoogleEarthEnterpriseTerrainData GoogleEarthEnterpriseTerrainProvider Google...
The data extraction was performed using the GrADS software, while the calculations of statistical tests and the generation of maps were conducted in MATLAB. All the codes utilized for data extraction, statistical tests, and figure generation in GrADS and MATLAB are available under reasonable request ...
As in the previous sections, we obtained a reconstructed height h(ξ) from the correlation method and then smoothed and used it as the initial vector for the optimization. Each horizontal line of the 2D height maps corresponds to the reconstructed height of the respective profile after ...
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For Open Street Map / Google Maps: publicPointFWorldToTilePos(doublelon,doublelat,intzoom){PointFp=newPoint();p.X=(float)((lon+180.0)/360.0*(1<<zoom));p.Y=(float)((1.0-Math.Log(Math.Tan(lat*Math.PI/180.0)+1.0/Math.Cos(lat*Math.PI/180.0))/Math.PI)/2.0*(1<<zoom));returnp...
These constraints leave us with 2093 tiles to extract dune geometry from. Below we first explain the algorithm precisely, then explain how it maps onto a physical definition of dune dimensions. First, an auto-correlation Rη of a 322-km2 tile of ASTER topography η(λ, ϕ) (where λ ...
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Rights and permissions Reprints and permissions About this article Cite this article Al-Habashna, A., Murdoch, R. Building height estimation from street-view imagery using deep learning...
GEDI data provides a valuable source for creating a wall-to-wall canopy height map.Integrated GEDI, Sentinel-1, and Sentinel-2 data show potential for forest mapping.Sentinel-2 red-edge bands improve 10m CHM and AGB mapping.The 10m CHM and AGB maps capture more details about forest clearcuts...