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DESS China Terrace Map v1
Dieser Datensatz ist eine Terrassenkarte von China mit einer Auflösung von 30 m aus dem Jahr 2018. Sie wurde durch eine überwachte pixelbasierte Klassifizierung mithilfe von mehrstelligen und mehrzeitlichen Daten auf der Google Earth Engine-Plattform entwickelt. Die Gesamtgenauigkeit und der Kappa-Koeffizient betrugen 94% bzw.0, 72. Diese erste … agriculture landcover landuse landuse-landcover tsinghua -
Tsinghua FROM-GLC Jahr der Änderung zu einer undurchlässigen Oberfläche
Dieser Datensatz enthält Informationen zu den jährlichen Veränderungen der globalen bebauten Fläche von 1985 bis 2018 mit einer Auflösung von 30 m. Die Änderung von durchlässig zu undurchlässig wurde mit einem kombinierten Ansatz aus einer beaufsichtigten Klassifizierung und einer Prüfung der zeitlichen Konsistenz ermittelt. Nicht befahrbare Pixel sind definiert als mehr als 50% nicht befahrbar. … gebaut Bevölkerung Tsinghua urban
Datasets tagged tsinghua in Earth Engine
[null,null,[],[[["\u003cp\u003eThe DESS China Terrace Map provides a 30m resolution view of terrace farming across China in 2018, achieving high accuracy through supervised classification using multi-source data.\u003c/p\u003e\n"],["\u003cp\u003eThe Tsinghua FROM-GLC dataset offers insights into annual changes in global impervious surfaces from 1985 to 2018 at 30m resolution, identifying areas where pervious land has become impervious.\u003c/p\u003e\n"]]],["Two datasets are described: a 2018 China terrace map at 30m resolution, created via supervised pixel-based classification using multisource and multi-temporal data. The method had an overall accuracy of 94% and a kappa coefficient of 0.72. The second dataset provides annual changes in global impervious surface area, from 1985 to 2018 at 30m resolution. This was done by a combination of supervised classification and temporal consistency checking. Impervious pixels are above 50% impervious.\n"],null,["# Datasets tagged tsinghua in Earth Engine\n\n-\n\n |--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### DESS China Terrace Map v1](/earth-engine/datasets/catalog/Tsinghua_DESS_ChinaTerraceMap_v1) |\n | This dataset is a China terrace map at 30 m resolution in 2018. It was developed through supervised pixel-based classification using multisource and multi-temporal data based on the Google Earth Engine platform. The overall accuracy and kappa coefficient achieved 94% and 0.72, respectively. This first ... |\n | [agriculture](/earth-engine/datasets/tags/agriculture) [landcover](/earth-engine/datasets/tags/landcover) [landuse](/earth-engine/datasets/tags/landuse) [landuse-landcover](/earth-engine/datasets/tags/landuse-landcover) [tsinghua](/earth-engine/datasets/tags/tsinghua) |\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### Tsinghua FROM-GLC Year of Change to Impervious Surface](/earth-engine/datasets/catalog/Tsinghua_FROM-GLC_GAIA_v10) |\n | 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. ... |\n | [built](/earth-engine/datasets/tags/built) [population](/earth-engine/datasets/tags/population) [tsinghua](/earth-engine/datasets/tags/tsinghua) [urban](/earth-engine/datasets/tags/urban) |"]]