The data set of land use map in the middle and lower reaches of Taohe River in Huangshui includes the land use of Yongjing County of Gansu Province and Minhe County of Qinghai Province in 2013, 2014, 2015, 2016 and 2017. The spatial resolution is 25m, and the format is TIF. The data is named in the form of "key governance area + administrative region + year + land use map", such as "×× heavy" Land use map of ×× County ×× year in the point management area. The classification system of land use includes 8 first class, 22 second class and 2 third class. Gauss Kruger is used for projection of all thematic maps, and CGCS2000 is used as coordinate system.
Data sources are Landsat TM and ETM + data, mainly from the United States Geological Survey (USGS, https://glovis.usgs.gov/ ）Access, a few from China geospatial data cloud（ http://www.gscloud.cn/ ）Get
Based on ecognition software platform, the method of combining object-oriented computer automatic classification with manual visual interpretation was used to extract the annual land use data of the study area. Finally, three methods are used to verify the data accuracy: field sample point survey, high resolution image recognition and Google Earth sample point recognition.
The remote sensing images are preprocessed by radiation correction, orthorectification, fusion and mosaic. The actual surface area corresponding to the minimum patch area is not less than 0.1 Hm2, the polygon has no overlap, no gap, and the patch attribute has no vacancy or redundancy. Before remote sensing image interpretation, remote sensing image, typical survey and field comparison were used to establish remote sensing interpretation marks of land use. Based on the remote sensing image, combined with the interpretation marks, the land use types are extracted. Reexamination of interpretation results: take no less than 5% of the total map spots 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 the verification map spots, 10% of the verification samples are selected for field verification.
This work is licensed under
CC BY 4.0 (Creative Commons Attribution 4.0 International License).
CSTR:11738.11.ncdc.HHSTBC.2020.131
10.12072/ncdc.HHSTBC.db0009.2021
