Soil erosion data set of Heihe national key prevention area in Qilian Mountains in 2020

English name

CSTR

CSTR:11738.11.ncdc.HHSTBC.2021.254

DOI

10.12072/ncdc.hhstbc.db2596.2022

Share type

offline

Category

Soil and Water Conservation

contributors

Monitoring Center for ecological environment of soil and water conservation in the Yellow River Basin

Datasets description

The soil erosion data set of Heihe national key prevention area in Qilian Mountain in 2020 includes the soil erosion statistical tables of Ejina Banner, Inner Mongolia Autonomous Region, Yongdeng County, Tianzhu County, Ganzhou District, Sunan County, Minle County, Linze County, Gaotai County, Jinta County, Menyuan Hui Autonomous County and Qilian County in Gansu Province in 2020, based on the processing of satellite remote sensing image with spatial resolution of 2m, The storage format is xlsx, and the data is named in the form of "key management area + year + soil erosion statistical table", such as“ ×× Key governance areas ×× Statistical table of soil erosion in 2000. Soil erosion intensity can be divided into 6 grades: Micro erosion, light erosion, moderate erosion, strong erosion, very strong erosion and severe erosion.

Base information

collect time	2020/01/01 - 2020/12/31
collect place	National key prevention area of Heihe River in Qilian Mountain
data size	883.4 KiB
data format
Coordinate system

Data source description

The data sources of land use are ZY-3 and Gao FEN-1 satellite images, which are mainly obtained from the information center of the Ministry of water resources. 2. Vegetation 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. 3.1:50000 DEM is mainly obtained from the information center of the Ministry of water resources.

Data processing method

Based on the thematic maps of land use, vegetation coverage and slope, the soil erosion intensity was graded by ArcGIS software. 2. The land use processing method is based on ecognition software platform, using the method of object-oriented computer automatic classification and manual visual interpretation 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. 3. The processing method of vegetation coverage is based on remote sensing estimation, and the normalized vegetation index (NDVI) is used to estimate the vegetation coverage by pixel dichotomy model. First, the NDVI of each pixel is calculated by using the near-infrared and red band data of multispectral images. Then, the model is used to calculate the vegetation coverage of the whole region, and the vegetation coverage is classified according to the classification rules. Finally, the land use type data obtained from remote sensing interpretation and the vegetation coverage data obtained from remote sensing estimation are used for superposition operation, The vegetation coverage information of each pixel was obtained. 4. Slope data processing method is based on 1:50000 DEM extraction.

Data quality description

Based on the thematic maps of land use, vegetation coverage and slope, the soil erosion intensity was graded by ArcGIS software. 2. The land use processing method is based on ecognition software platform, using the method of object-oriented computer automatic classification and manual visual interpretation 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. 3. The processing method of vegetation coverage is based on remote sensing estimation, and the normalized vegetation index (NDVI) is used to estimate the vegetation coverage by pixel dichotomy model. First, the NDVI of each pixel is calculated by using the near-infrared and red band data of multispectral images. Then, the model is used to calculate the vegetation coverage of the whole region, and the vegetation coverage is classified according to the classification rules. Finally, the land use type data obtained from remote sensing interpretation and the vegetation coverage data obtained from remote sensing estimation are used for superposition operation, The vegetation coverage information of each pixel was obtained. 4. Slope data processing method is based on 1:50000 DEM extraction.

Citations and annotations

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For the achievements published in English, please refer to the following specifications： The dataset is provided by National Cryosphere Desert Data Center. (http://www.ncdc.ac.cn).

Data reference

Monitoring Center for ecological environment of soil and water conservation in the Yellow River Basin. Soil erosion data set of Heihe national key prevention area in Qilian Mountains in 2020. National glacial and frozen desert scientific data center(http://www.ncdc.ac.cn/), 2021. https://cstr.cn/11738.11.ncdc.HHSTBC.2021.254 .

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license agreement

This work is licensed under a Creative Commons Attribution 4.0 International License.

Relevant data
File list

#	Dataset title
1	Soil erosion data set of Heihe national key prevention area in Qilian Mountains in 2019
2	Soil erosion data set of Heihe national key prevention area in Qilian Mountains in 2021
3	Soil erosion data set of national key prevention area of Tarim River in 2020
4	Land use data set of Heihe national key prevention area in Qilian Mountain in 2019
5	Data set of soil erosion statistical table of Tarim River National key prevention area in 2018
6	Vegetation coverage data set of Heihe national key prevention area in Qilian Mountains in 2020
7	Soil erosion data set of national key prevention area of Tarim River in 2021
8	Data set of soil erosion plots in Heihe national key prevention area of Qilian Mountain in 2020
9	Data set of soil and water conservation measures in Yimeng Mountain and Taishan Mountain National key control area in 2020
10	National soil erosion prevention data of Heiji mountain in 2018

#	title	file size
1	2020年黄河流域（片）祁连山-黑河国家级重点预防区土壤侵蚀图.docx	869.8 KiB
2	2020年黄河流域（片）祁连山-黑河国家级重点预防区土壤侵蚀面积统计表.xlsx	13.5 KiB

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Theme:
Statistical table of soil erosion
Subject:
physical geography
Time:
2020
Place:
Heihe national key prevention area of Qilian Mountain

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Service information

contacts:: Min Yufang
phone:: 0931-4967596
mailbox:: ncdc@lzb.ac.cn

Contact information

contributors:: Monitoring Center for ecological environment of soil and water conservation in the Yellow River Basin
author:: Zhao Yan
manager:: Monitoring Center for ecological environment of soil and water conservation in the Yellow River Basin