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Heihe River eco hydrological remote sensing experiment: Heihe River Basin snow area proportion data set
  • 2021/08/31 19:28
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English name
Heihe River eco hydrological remote sensing experiment: Heihe River Basin snow area proportion data set
CSTR
CSTR:11738.11.ncdc.NIEER.2021.1751
DOI
10.12072/ncdc.nieer.db3523.2023
Share type
Online
Category
Remote Sensing
source site
Heihe Watershed Allied Telemetry Experimental Research
contributors
HAO Xiaohua , HUANG Xiaodong , LI Xin
Datasets description

 The snow area proportion data set of Heihe River basin provides a time series product of snow area proportion on cloudless days from 2010 to 2012. The data uses satellite MODIS data with high temporal resolution (1 day) and spatial resolution (500m). Firstly, the automatic algorithm N-FINDR is used to select the end elements. On the basis of automatic extraction, six types of end elements including snow, vegetation, cloud, soil, rock and water are selected manually, and the spectral database is established according to the 2009 images; Based on the spectral database, the fully constrained linear unmixing method (FCLs) is used for sub-pixel decomposition to obtain the primary snow area proportion product; Finally, the cloud free products of MODIS daily snow area ratio are obtained by using the difference cloud removal algorithm

  Verified by using high-resolution image Landsat TM, it has higher accuracy than the existing MODIS Snow area proportion product (mod10a1). It can provide more accurate snow parameter input for hydrology and meteorology of the basin

 Data Description: 0-100 snow area proportion, 0 Non snow; Projection type: longitude and latitude projection, WGS-84 datum

 Spatial resolution: 0.005 degrees

 Time resolution: 1 day

Base information
collect time 2010/01/01  -  2012/01/01
collect place Heihe River Basin
data size 1009.9 MiB
data format tif
Coordinate system WGS84
Projection /
Data thumbnail
Data source description

 Data Description: 0-100 snow area proportion, 0 Non snow

 Projection type: longitude and latitude projection, WGS-84 datum

  Spatial resolution: 0.005 degrees

 Time resolution: 1 day

Data processing method

 Six types of end elements including snow, vegetation, cloud, soil, rock and water were selected by artificial method, and the spectral database was established according to the 2009 images; Based on the spectral database, the fully constrained linear unmixing method (FCLs) is used for sub-pixel decomposition to obtain the primary snow area proportion product; Finally, the cloud free products of MODIS daily snow area ratio are obtained by using the difference cloud removal algorithm

Data quality description

 Good data quality

Project information
# number name type
1 KZCX2-XB3-15 other
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.
This data is generated by "Heihe eco hydrological remote sensing experiment (hiwater)". When using the data, users should clearly state the source of the data in the text and quote the reference method provided by this metadata in the reference part.

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
  1. HAO Xiaohua , HUANG Xiaodong, LI Xin. Heihe River eco hydrological remote sensing experiment: Heihe River Basin snow area proportion data set. National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2021. https://cstr.cn/CSTR:11738.11.ncdc.NIEER.2021.1751.
  2. HAO Xiaohua , HUANG Xiaodong, LI Xin. Heihe River eco hydrological remote sensing experiment: Heihe River Basin snow area proportion data set. National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2021. https://www.doi.org/10.12072/ncdc.nieer.db3523.2023.
Papers to be cited
  1. Geology; Research Conducted at Chinese Academy of Sciences Has Updated Our Knowledge about Geology (Integrated Hydrometeorological, Snow and Frozen-ground Observations In the Alpine Region of the Heihe River Basin, China)[J]. Journal of Technology & Science, 2020, .
    Reference format： Endnote Bibtex RIS
  2. Xin Li, Shaomin Liu, Qin Xiao, Mingguo Ma, Rui Jin, Tao Che, Weizhen Wang, Xiaoli Hu, Ziwei Xu, Jianguang Wen, Liangxu Wang. A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system.[J]. Scientific data, 2017, 4.
    Reference format： Endnote Bibtex RIS
  3. Zhang Ying, Huang Xiaodong, Hao Xiaohua, Wang Jie, Wang Wei, Liang Tiangang. Fractional snow-cover mapping using an improved endmember extraction algorithm[J]. Journal of Applied Remote Sensing, 2014, 8, (1).
    Reference format： Endnote Bibtex RIS
license agreement
Creative Commons License   This work is licensed under a Creative Commons Attribution 4.0 International License.
# title file size
1 MOD_hh_10_12_interplo_BIL 1009.9 MiB
2 MOD_hh_10_12_interplo_BIL.hdr 10.6 KiB
3 _ncdc_meta_.json 6.0 KiB
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How to get the data 
east 101.75
west  97.75
south  37.25
north  42.82
Export metadata
Service information
contacts:
Min Yufang
phone:
0931-4967596
mailbox:
ncdc@lzb.ac.cn
Contact information
contributors:
HAO Xiaohua , HUANG Xiaodong , LI Xin
author:
HAO Xiaohua
manager:
HAO Xiaohua

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