Forest cover change detection based on multi-scale segmentation and tasseled cap transformation over plateau area

Fan Yinglong; Tang Sainan; Tan Bingxiang

doi:10.12171/j.1000-1522.20220375

Journal of Beijing Forestry University > 2023 > 45(4): 60-69. > DOI: 10.12171/j.1000-1522.20220375

Fan Yinglong, Tang Sainan, Tan Bingxiang. Forest cover change detection based on multi-scale segmentation and tasseled cap transformation over plateau area[J]. Journal of Beijing Forestry University, 2023, 45(4): 60-69. DOI: 10.12171/j.1000-1522.20220375

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Forest cover change detection based on multi-scale segmentation and tasseled cap transformation over plateau area

1.
Central South Inventory and Planning Institute, National Forestry and Grassland Administration, Changsha 410014, Hunan, China
2.
Industrial Development and Planning Institute, National Forestry and Grassland Administration, Beijing 100010, China
3.
Research Institute of Forest Resource Information Technique, Chinese Academy of Forestry, Beijing 100091, China

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Received Date: September 13, 2022
Revised Date: February 22, 2023
Available Online: April 03, 2023
Published Date: April 24, 2023

Graphical Abstract

Abstract

Abstract

Objective Based on multi-scale segmentation and tasseled cap transformation, this paper aims to develop a detection method for forest cover change in complex plateau area.
Method Using Landsat 5 TM and Landsat 8 OLI multispectral images, taking the transitional mountainous area of the Yunnan Middle East Plateau of northwestern China as the research area, based on multi-scale segmentation, using the tasseled cap transformation (TCT) and principal component analysis (PCA), the object-oriented multi feature change vector was reconstructed, the optimal threshold was determined, forest cover change information was extracted, and the accuracy of the results was verified.
Result (1) The overall accuracy of the test results by PMKT-D was 92.32%, and the Kappa coefficient was 0.843 7, which was significantly better than the control method. (2) From 2010 to 2020, the area of forest cover change in the transition mountain zone of Middle East Yunnan Plateau was 356.88 km², accounting for 1.06% of the total image area, indicating significant changes of forest cover.
Conclusion Based on multi-scale segmentation, the method combining TCT and PCA can effectively reduce the adverse effects of complex topography and phenology, enhance spectral characteristics of forest cover changes and improve the accuracy of the change detection significantly while take advantages of object-oriented multi-feature change vector.
- multi-scale segmentation,
- tasseled cap transformation,
- forest over change,
- change vector,
- plateau area

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Forest cover change detection based on multi-scale segmentation and tasseled cap transformation over plateau area