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Forest and Grassland Resources Research >

2025 , Vol. 0 >Issue 5: 105 - 113

DOI: https://doi.org/10.13466/j.cnki.lczyyj.2025.05.012

Technical Application

Forest land occupation detection in high spatial resolution remote sensing based on spatiotemporal waveband set construction and object-oriented approach

  • LIU Xiaoshuang ,
  • JIA Yili ,
  • ZHAO Yibing
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  • 1. Northwest Surveying and Planning Institute of National Forestry and Grassland Administration, Xi'an 710048,Shaanxi, China
    2. Key Laboratory of National Forestry Administration on Ecological Hydrology and Disaster Prevention in Arid Regions, Xi'an 710048, China

Received date: 2024-10-29

  Revised date: 2025-08-28

  Online published: 2026-04-17

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Abstract

To enhance the automation level and efficiency of forest resource monitoring,we adopted spatiotemporal waveband set construction to meet the requirements of high spatial resolution,large scale,mixed temporal phases,and multi-source data.Object-oriented multi-scale clustering segmentation was employed to conduct change detection in forest-occupied areas.Taking Fengxiang District in Shaanxi Province as an example,data band screening and waveband set construction for two periods(2020 and 2021)were carried out using three types of remote sensing image data:Gaofen-1,Gaofen-6,and Ziyuan-3.Through multi-scale region-growing clustering,pixel-level images were aggregated into object units.At the object level,a threshold was set using the joint features of spectral digital numbers and NDVI to achieve automatic detection of forest-occupied areas.The results show that the spatiotemporal waveband set construction and multi-scale object-oriented segmentation method can effectively separate changed areas from unchanged areas.The automatic detection accuracy of occupied forest land was 82.9%.75.3% of the automatic detection plot contour and the actual occupied land contour were evaluated as "high",and the edge extraction accuracy and detection efficiency had significant advantages.Compared with the mainstream post-classification detection methods based on pixels or object-oriented approaches,this method effectively simplifies the operation process by using high-dimensional segmentation that combines space and time,and can be applied to detect changes in forest-occupied land plots,assisting visual interpretation,thereby improving the detection efficiency of behavior that damages forest resources.

Key words： occupied forest; change detection; object-oriented; waveband set construction; multi-scale segmentation

Cite this article

LIU Xiaoshuang , JIA Yili , ZHAO Yibing . Forest land occupation detection in high spatial resolution remote sensing based on spatiotemporal waveband set construction and object-oriented approach[J]. Forest and Grassland Resources Research, 2025 , 0(5) : 105 -113 . DOI: 10.13466/j.cnki.lczyyj.2025.05.012

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