Soil erosion data set of national key prevention area of Tarim River in 2021

English name

CSTR

CSTR:11738.11.ncdc.hhstbc.db2562.2022

DOI

10.12072/ncdc.hhstbc.db2562.2024

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Category

Soil and Water Conservation

contributors

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

Datasets description

 <p>The soil erosion data set of national key prevention areas of Tarim River in 2021 includes Aksu City, Wushi County, Awati County, Zepu County, Shache County, Yecheng County, Maigaiti County, Bachu County, Hotan City, Hotan County, Moyu County, Pishan County, Luopu County, Cele County, Yutian County, Minfeng County, Aheqi County, etc The statistical table of soil erosion in Alar City in 2021 is based on the processing of satellite remote sensing image with spatial resolution of 2m, and the storage format is xlsx. 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</p>

Base information

collect time	2021/01/01 - 2021/12/31
collect place	Tarim River National key prevention area
data size	3.0 MiB

Data source description

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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

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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

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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

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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 national key prevention area of Tarim River in 2021. National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2022. https://cstr.cn/CSTR:11738.11.ncdc.hhstbc.db2562.2022.
Monitoring Center for ecological environment of soil and water conservation in the Yellow River Basin. Soil erosion data set of national key prevention area of Tarim River in 2021. National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2022. https://www.doi.org/10.12072/ncdc.hhstbc.db2562.2024.

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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	Soil erosion data set of national key prevention area of Tarim River in 2020
2	Data set of soil erosion statistical table of Tarim River National key prevention area in 2018
3	Data set of soil erosion statistical table of Tarim River National key prevention area in 2018
4	Soil erosion data set of soil erosion plots in national key prevention area of Tarim River in 2024
5	Soil erosion data set of soil erosion plots in national key prevention area of Tarim River in 2023
6	Soil erosion data set of national key prevention area of Tarim River in 2022
7	Statistical table data set of soil erosion in national key prevention area of Tarim river oasis from 2015 to 2017
8	Data set of soil erosion map in Tarim River Oasis national key prevention area from 2015 to 2017
9	Land use data set of Tarim River National key prevention area in 2019
10	Soil erosion data set of Heihe national key prevention area in Qilian Mountains in 2021

#	title	file size
1	2021年黄河流域（片）塔里木河国家级重点预防区土壤侵蚀图.jpg	3.0 MiB

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How to get the data

Theme:
Statistical table of soil erosion soil erosion area
Time:
2021
Place:
Tarim River National key prevention area

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Contact information

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

Platform Service information

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