Data set of soil erosion in the national key control area of the Yellow River in 2020

English name

CSTR

CSTR:11738.11.ncdc.HHSTBC.2021.290

DOI

10.12072/ncdc.hhstbc.db2619.2022

Share type

Apply to Access

Category

Soil and Water Conservation

contributors

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

Datasets description

In 2020, the soil erosion data set of the Yellow River Sandy and coarse sand national key control areas includes Gujiao City, Loufan County, Youyu County, jingle County, Shenchi County, Wuzhai County, Kelan County, Hequ County, Baode County, Pianguan County, Ji County, Xiangning County, Daning County, Xi county, Yonghe County, Pu County, Fenxi County, Lishi District, Xingxian County, Linxian County, Liulin County, Shilou County, Lan county Fangshan County, Zhongyang County, Jiaokou County, Inner Mongolia Tuoketuo County, Helingeer County, Qingshuihe County, Dongsheng District, Dalate Banner, Zhungeer banner, Etuokeqian banner, Etuoke Banner, Hangjin Banner, Wushen Banner, Yijinhuoluo banner, Dengkou County, Liangcheng County, Shaanxi Province, Hancheng City, Baota District, Ansai County, Yanchang County, Yanchuan County, Zichang County, Zhidan County, Wuqi County, Yichuan County Statistical table of soil erosion of Yuyang District, Shenmu City, Fugu County, Hengshan District, Jingbian County, Dingbian County, Suide County, Mizhi County, Jia County, Wubao County, Qingjian County, Zizhou County, Jingchuan County, Lingtai County, Xifeng District, Qingcheng County, Huan County, Huachi County, Heshui County, Ning County, Zhenyuan County of Gansu Province, and 70 counties of Yanchi County of Ningxia Hui Autonomous Region in 2020, Based on the satellite remote sensing image with a spatial resolution of 2 meters, the data are stored in xlsx format. The data are named in the form of "key control 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 control area of Yellow River with abundant and coarse sediment
data size	1.9 MiB

Data source description

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.

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

Remote sensing images are preprocessed by radiation correction, orthorectification, fusion and mosaic. 2. The actual surface area corresponding to the minimum spot area is not less than 0.1 h ^, the polygons have no overlap, no gap, and the spot attributes have no vacancy or redundancy. 3. Before the remote sensing image interpretation, the remote sensing image, typical investigation and field comparison methods are used to establish the remote sensing interpretation marks of forest and grass sample plots. 4. Based on remote sensing images, combined with interpretation marks, extract land use types. 5. Review of interpretation results: no less than 5% of the total map spots shall be selected for verification. 6. 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% are selected as verification samples for field verification.

Citations and annotations

In order to protect the rights and interests of the platform's scientific and technological resources, expand the services of the platform center, and enhance the application potential of scientific and technological resources, resource users are requested to mark and quote the research results (including published papers, treatises, data products, unpublished research reports, data products, etc.) generated by the use of resources in the following manner.

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. Data set of soil erosion in the national key control area of the Yellow River in 2020. National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2021. https://cstr.cn/CSTR:11738.11.ncdc.HHSTBC.2021.290.
Monitoring Center for ecological environment of soil and water conservation in the Yellow River Basin. Data set of soil erosion in the national key control area of the Yellow River in 2020. National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2021. https://www.doi.org/10.12072/ncdc.hhstbc.db2619.2022.

EndnoteEN BibtexEN RISEN

license agreement

This work is licensed under CC BY 4.0 (Creative Commons Attribution 4.0 International License).

Relevant data
File list

#	Dataset title
1	Data set of soil erosion in the Yellow River Sandy and coarse sand national key control area in 2019
2	Data set of soil erosion in the national key control area of the Yellow River in 2021
3	Data set of soil erosion in the national key control area of the Yellow River in 2022
4	Soil erosion data set in the Yellow River Sandy and coarse sand national key control area in 2024
5	Soil erosion data set in the Yellow River Sandy and coarse sand national key control area in 2021
6	Data set of soil erosion statistical table in national key control area of soil and water loss of Yellow River in 2018
7	Land use data set of the Yellow River Sandy and coarse sand national key control area in 2019
8	Vegetation cover data set of the Yellow River Sandy and coarse sand national key control area in 2020
9	Data set of soil and water loss plots in the Yellow River Sandy and coarse sand national key control area in 2020
10	Data set of soil and water conservation measures in the national key control area of the Yellow River in 2020

#	title	file size
1	2020年黄河流域（片）黄河多沙粗沙国家级重点治理区土壤侵蚀图.docx	1.9 MiB

add comment

Scan and browse on mobile

How to get the data

east

west

south

north

Export metadata

Contact information

contributors:: Monitoring Center for ecological environment of soil and water conservation in the Yellow River Basin
author:: Li Suya
manager:: Monitoring Center for ecological environment of soil and water conservation in the Yellow River Basin , Li Suya

Platform Service information

contacts:: Li Hongxing
phone:: 0931-4967592
mailbox:: ncdc@lzb.ac.cn