CSTR:11738.11.ncdc.hhstbc.db2556.2022
10.12072/ncdc.hhstbc.db2556.2024
<p>The statistical table of vegetation coverage of Liupanshan national key prevention areas in Ziwuling in 2021 includes Yaozhou District, Wangyi District, Yintai District, Yijun County, Chencang District, Longxian County, Qianyang County, Linyou County, Binxian County, Changwu County, Xunyi County, Chunhua County, Ganquan County, Fuxian County, Luochuan County, Huanglong County, Huangling County, Qingshui County, Zhangjiachuan county, Kongtong District, Chongxin County, Qingshui County, Zhangchuan County, Qingshui County, Qingshui County, Zhangchuan County, Kongtong County, Chongxin County, Qingshui County, Qingshui County, Qingshui County, Qingshui County, Zhangchuan County The vegetation coverage statistical tables of Huating County, Jingning County, Zhengning County, Longde County and Jingyuan County of Ningxia Hui Autonomous Region in 2021 are obtained by processing the satellite remote sensing image with spatial resolution of 2m, and the storage format is xlsx. The data are named in the form of "key management area + year + vegetation coverage statistical table", such as“ ×× Key governance areas ×× Statistical table of annual vegetation coverage. The vegetation coverage is divided into five levels: high coverage, medium high coverage, medium coverage, medium low coverage and low coverage.</p>
<p>The data sources are ZY-3 and Gao FEN-1 satellite images, which are mainly obtained from the information center of the Ministry of water resources.</p>
<p>Based on the method of remote sensing estimation, the normalized vegetation index (NDVI) is used to estimate the vegetation coverage by using the pixel dichotomy model. The method is to first calculate the NDVI of each pixel using the near infrared band and red band data of multispectral images, and then use the model to calculate the vegetation coverage of the whole region. Then the land use type data from remote sensing interpretation and the vegetation coverage data from remote sensing estimation are superimposed to obtain the vegetation coverage information of each pixel. Finally, according to the classification rules, the vegetation coverage was classified, and the statistical table of forest and grass vegetation coverage was obtained.</p>
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