干旱区研究

Arid Zone Research >

2025 , Vol. 42 >Issue 1: 141 - 153

DOI: https://doi.org/10.13866/j.azr.2025.01.13

Ecology and Environment

Class separability evaluation of desert types based on the hyperspectral reflectance characteristics

  • LIU Zhifei ,
  • YANG Xuemei ,
  • WANG Jingrui ,
  • HUANG Kepan ,
  • XU Haojie
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  • 1. State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, School of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, Gansu, China
    2. Tourism School, Lanzhou University of Arts and Science, Lanzhou 730010, Gansu, China
    3. Gansu Desert Control Research Institute, Lanzhou 730070, Gansu, China
    4. School of Resources and Environment, Lanzhou University, Lanzhou 730000, Gansu, China
    5. Center for Remote Sensing of Ecological Environments in Cold and Arid Regions, Lanzhou University, Lanzhou 730000, Gansu, China

Received date: 2024-08-14

  Revised date: 2024-10-21

  Online published: 2025-01-17

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Abstract

Few studies have used the characteristic variables extracted from the details of the hyperspectral reflectance curves of bare soil to evaluate the separability of various desert types. In this study, salt desert, gravel desert, mud desert, and desert in the lower reaches of the Shiyang River were used as the research objects, and cumulative difference, first-order differentiation, continuum removal, vegetation index calculation and principal component analysis were used to identify the hyperspectral reflectance features of various desert types, extract the key categorical variables, and quantify the degree of differentiation of various desert types. The results showed that (1) the absorption valleys at 446-600 nm and 2150-2285 nm differed significantly among the desert types. (2) the Carter index 1, Greenness Index, and Green NDVI hyper 2 differed significantly among the desert types. (3) The Modified Chlorophyll Absorption Ratio Index, Soil Adjusted Vegetation Index, and 2265 nm and 1790-1810 nm reflectance had larger weight values in constructing the principal component indexes; and (4) the differentiation index of each desert type: desert & salty desert>desert & muddy desert>muddy & salty desert>gravelly & salty desert>desert & gravelly desert>mud & gravelly desert. These findings provide ground verification and data support for the remote sensing monitoring of deserts in the northwest Arid Zone.

Key words： desert soil; hyperspectral feature band; feature extraction; principal component analysis; class separability

Cite this article

LIU Zhifei , YANG Xuemei , WANG Jingrui , HUANG Kepan , XU Haojie . Class separability evaluation of desert types based on the hyperspectral reflectance characteristics[J]. Arid Zone Research, 2025 , 42(1) : 141 -153 . DOI: 10.13866/j.azr.2025.01.13

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