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Updated: Jul 10, 2025

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A High-Precision Remote Sensing Identification Method for Land Desertification Based on ENVINet5.

Jingyi Yang1,2,3, Qinjun Wang1,2,3,4,5, Dingkun Chang1,2,3

  • 1Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), Beijing 100094, China.

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|November 25, 2023
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Summary

This study developed a high-accuracy method to identify land desertification in China. The research provides crucial insights for combating desertification and ensuring ecological security in fragile regions.

Keywords:
deep learningdesertificationfine classificationinfluencing factorsland classification

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Area of Science:

  • Environmental Science
  • Remote Sensing
  • Ecology

Background:

  • Land desertification is a critical global environmental issue, severely impacting human survival and development.
  • China faces significant land desertification challenges, particularly in ecologically fragile zones.
  • Minqin County, Gansu Province, exemplifies severe desertification and is a major sandstorm source.

Purpose of the Study:

  • To develop a high-precision method for identifying and monitoring land desertification in China.
  • To analyze the trends and driving factors of desertification in Minqin County.
  • To provide actionable recommendations for desertification control and ecological security.

Main Methods:

  • Utilized ENVINet5 for developing a sophisticated land desertification identification model.
  • Achieved a high accuracy rate of 93.71% in land desertification identification.
  • Conducted trend analysis and factor identification for desertification in the study area.

Main Results:

  • A highly accurate land desertification identification method (93.71%) was successfully constructed.
  • The study analyzed the historical trends and underlying causes of desertification in Minqin County.
  • Specific suggestions for disaster prevention and control were formulated for the region.

Conclusions:

  • Accurate identification and monitoring are vital for effective land desertification management.
  • The developed method offers a valuable tool for assessing desertification in ecologically vulnerable areas.
  • Findings provide a reference for policy-making in similar desertified regions globally.