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Land Cover result (2011) from 1d-CNN on CONUS

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NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/7789404
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The document is the land cover results from the paper: Hankui K. Zhang, David P. Roy, Dong Luo, Demonstration of large area land cover classification with a one dimensional convolutional neural network applied to single pixel temporal metric percentiles. Remote sensing of environment. (revision) There is total 482 files and the name of each file is: Landsatard2011.hxxvxx.7p.cnnnlcd.tif The “hxx” and “vxx” are the unique horizontal and vertical number that aligning with the Conterminous U.S. Landsat Analysis Ready Data (ARD) Tiles https://www.usgs.gov/media/images/conterminous-us-landsat-analysis-ready-data-ard-tiles. Total 15 classes: 11: Open water 21: Developed, open-space 22: Developed, low-intensity 23: Developed, medium-intensity 24: Developed, high-intensity 31: Barren land 41: Deciduous forest 42: Evergreen forest 43: Mixed forest 52: Shrub/scrub 71: Grassland/herbaceous 81: Pasture/hay 82: Cultivated crops 90: Woody wetlands 95: Emergent herbaceous wetland The data format is GEOTIFF files with unit8 data type. It has "cnn1d_landcover_result_readme" and zip file "cnn1d.7p.result.u8".
创建时间:
2024-07-12
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