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Remote Sensing for Natural Resources    2023, Vol. 35 Issue (2) : 230-235     DOI: 10.6046/zrzyyg.2022129
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Investigation and applications of rocky desertification based on GF-5 hyperspectral data
LI Na1(), GAN Fuping1(), DONG Xinfeng1, LI Juan2, ZHANG Shifan3, LI Tongtong3
1. China Aero Geophysical Survey and Remote Sensing Center for Natural Resource, Beijing 100083, China
2. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
3. School of Earth Sciences and Resource, China University of Geosciences (Beijing), Beijing 100083, China
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Abstract  

Rocky desertification is the primary eco-environmental problem in Karst mountainous areas in southwestern China. Scientific measures must be formulated to comprehensively promote the prevention and control of rocky desertification. Remote sensing technology, which enjoys the advantages of rapid positioning, wide coverage, and economic efficiency, has become an important technical method for investigating the spatial distribution of regional rocky desertification. Therefore, this study extracted three key indices used to characterize rocky desertification information (i.e., vegetation coverage, bedrock exposure rate, and soil coverage) of the study area using the pixel unmixing method based on GF-5 hyperspectral data and the spectral index method based on Landsat8 multispectral data. The results show that information on vegetation coverage can be accurately extracted from the two types of satellite remote sensing data. However, Landsat8 multispectral data are difficult to distinguish information about exposed bedrocks from that of bare soil due to their band setting and spectral resolution. By contrast, GF-5 hyperspectral data enable the direct and effective extraction of bedrock exposure rate and soil coverage, as well as the accurate identification of mineral components such as calcite and dolomite in exposed bedrocks. The results of this study can provide a scientific and effective technical and theoretical basis for the evaluation, classification, and comprehensive control of rocky desertification.
Keywords rocky desertification      GF-5      pixel unmixing      Landsat8     
ZTFLH:  TP79  
  P627  
  P623  
Issue Date: 07 July 2023
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Na LI
Fuping GAN
Xinfeng DONG
Juan LI
Shifan ZHANG
Tongtong LI
Cite this article:   
Na LI,Fuping GAN,Xinfeng DONG, et al. Investigation and applications of rocky desertification based on GF-5 hyperspectral data[J]. Remote Sensing for Natural Resources, 2023, 35(2): 230-235.
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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2022129     OR     https://www.gtzyyg.com/EN/Y2023/V35/I2/230
Fig.1  Location of the study area
波段类型 波段范围/nm 波段数/个 波谱分辨率/nm
VNIR 390~1 029 150 5
SWIR 1 005~2 513 180 10
Tab.1  Main technical indicators of hyperspectral camera onboard GF-5
Fig.2  Vegetation coverage,soil coverage and bedrock exposure rate of GF-5 data
Fig.3  Distribution of calcite and dolomite
Fig.4  Image spectrum of verification points,ASD curve of field samples and photo of rocky desertification area
Fig.5  Vegetation coverage,soil coverage and bedrock exposure rate of Landsat8 data
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