Vegetation cover data set of the Yellow River Sandy and coarse sand national key control area in 2021

English name

CSTR

CSTR:11738.11.ncdc.hhstbc.db2567.2022

DOI

10.12072/ncdc.hhstbc.db2567.2024

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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>In 2021, the vegetation coverage data set of the Yellow River's 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, Puxian County, Fenxi County, Lishi District, Xingxian County, Linxian County, Liulin County, Shilou County, Lanxian 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 Statistics of vegetation coverage 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 2021, Based on the satellite remote sensing image with a spatial resolution of 2 meters, the data is stored in xlsx format, and named in the form of "key management area + year + statistical table of forest and grass vegetation coverage"“ ×× Key governance areas ×× Statistical table of annual forest and grass vegetation coverage. The vegetation coverage is divided into five levels: high coverage, medium high coverage, medium coverage, medium low coverage and low coverage</ p>

Base information

collect time	2021/01/01 - 2021/12/31
collect place	National key control area of Yellow River with abundant and coarse sediment
data size	9.5 MiB

Data source description

                                                                                                                         <p>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.</p>

Data processing method

                                                                                                                         <p>Based on the method of remote sensing estimation, the normalized vegetation index (NDVI) is used to estimate the vegetation coverage by using the pixel dichotomy model. The method is to first calculate the NDVI of each pixel using the near infrared band and red band data of multispectral images, and then use the model to calculate the vegetation coverage of the whole region. Then the land use type data from remote sensing interpretation and the vegetation coverage data from remote sensing estimation are superimposed to obtain the vegetation coverage information of each pixel. Finally, according to the classification rules, the vegetation coverage was classified, and the statistical table of forest and grass vegetation coverage was obtained.</p>

Data quality description

                                                                                                                                             <ol>

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. Vegetation cover data set of the Yellow River Sandy and coarse sand national key control area in 2021. National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2022. https://cstr.cn/CSTR:11738.11.ncdc.hhstbc.db2567.2022.
Monitoring Center for ecological environment of soil and water conservation in the Yellow River Basin. Vegetation cover data set of the Yellow River Sandy and coarse sand national key control area in 2021. National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2022. https://www.doi.org/10.12072/ncdc.hhstbc.db2567.2024.

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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	Vegetation cover data set of the Yellow River Sandy and coarse sand national key control area in 2020
2	Vegetation cover data set of the Yellow River Sandy and coarse sand national key control area in 2022
3	Vegetation coverage data set of Yellow River Sandy and coarse sand national key control area in 2019
4	Vegetation coverage data set of soil and water loss plots in the Yellow River Sandy and coarse sand national key control area in 2024
5	Vegetation coverage data set of soil and water loss plots in the Yellow River Sandy and coarse sand national key control area in 2021
6	Data set of soil erosion in the national key control area of the Yellow River in 2021
7	Data set of soil and water conservation measures in the national key control area of the Yellow River in 2021
8	Data set of soil and water loss plots in the Yellow River Sandy and coarse sand national key control area in 2021
9	Data set of soil erosion in the Yellow River Sandy and coarse sand national key control area in 2019
10	Data set of soil erosion in the national key control area of the Yellow River in 2020

#	title	file size
1	2021年黄河流域（片）黄河多沙粗国家级重点治理区植被覆盖图.jpg	9.5 MiB

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How to get the data

Theme:
Statistical table of vegetation coverage different coverage areas and proportions of high
Time:
2021
Place:
The Yellow River is rich in sand and coarse sand

east

west

south

north

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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