CSTR:11738.11.ncdc.hhstbc.db2541.2022
10.12072/ncdc.hhstbc.db2541.2022
<p>The land use data set of Gansu, Qinghai and Ningxia national key governance areas in 2019 includes Chengdong District, Chengzhong District, Chengxi District, Chengbei District, Datong Hui and Tu Autonomous County, Huangzhong County, Huangyuan County, Ledu County, Ping'an County, Minhe Hui and Tu Autonomous County, Huzhu Tu Autonomous County, Hualong Hui Autonomous County, Xunhua Sala Autonomous County, Jianzha county and guide county, Tongxin County, Yuanzhou District, Xiji County, Pengyang County, Haiyuan County, Ningxia Hui Autonomous Region Huining County, Anding District, Yongjing County, Zhuanglang County, Honggu District, Qilihe district, Dongxiang Autonomous County, Wushan County, Yuzhong County, Weiyuan County, Kangle County, Zhangxian County, Jingyuan County, Xigu District, Jishishan Bao'an County, Dongxiang Sala Autonomous County, Longxi County, Guanghe County, Lintao County The land use statistical tables of 48 counties in Linxia city, Linxia County, Gangu County, Tongwei County, Anning District, Qin'an County, Hezheng County, Maiji District, Qinzhou District and Chengguan District in 2019 are obtained by processing satellite remote sensing images with spatial resolution better than 16m. The saved format is xlsx. The data name adopts the form of "key governance area + administrative region + year + land use statistical table", Such as“ ×× Key governance areas ×× county ×× Statistics of land use in 2001 ". The classification system of land use includes 8 first class and 25 second class.</p>
<p>Land use remote sensing image data sources are ZY-3 and Gao FEN-1 satellite images, which are obtained from the information center of the Ministry of water resources</p>
<p>Based on ecognition software platform, the method of object-oriented computer automatic classification combined with manual visual interpretation was used to extract the land use data of the study area year by year. Finally, three methods are used to verify the accuracy of the data: field sample point survey, high-resolution image recognition and Google Earth sample point recognition.</p>
<p>Remote sensing images are preprocessed by radiation correction, ortho rectification, fusion and mosaic. The actual surface area corresponding to the minimum spot area is not less than 0.1 h ^, the polygons have no overlap or gap, and the spot attributes have no vacancy or redundancy. Before remote sensing image interpretation, the land use remote sensing interpretation marks are established by using remote sensing image, typical survey and field comparison. Based on remote sensing images, combined with interpretation marks, land use types are extracted. Re examination of interpretation results: no less than 5% of the total map spots shall be selected for verification. The number and results of field verification samples meet the requirements of technical specification for remote sensing monitoring of soil and water conservation (sl592-2012). For verification spots, 10% of them are selected as verification samples for field verification.</p>
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