The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLI-B8
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 1437–1440, 2016
https://doi.org/10.5194/isprs-archives-XLI-B8-1437-2016
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 1437–1440, 2016
https://doi.org/10.5194/isprs-archives-XLI-B8-1437-2016

  17 Oct 2016

17 Oct 2016

OBJECT-BASED FOREST COVER MONITORING USING GAOFEN-2 HIGH RESOLUTION SATELLITE IMAGES

S. M. Li, Z. Y. Li, E. X. Chen, and Q. W. Liu S. M. Li et al.
  • Institute of Forest Resources Information Techniques, Chinese Academy of Forestry Beijing, China

Keywords: Forest Cover Monitoring, Segmentation, Classification, Gaofen-2, High Resolution Satellite Images

Abstract. Forest cover monitoring is an important part of forest management in local or regional area. The structure and tones of forest can be identified in high spatial remote sensing images. When forests cover change, the spectral characteristics of forests is also changed. In this paper a method on object-based forest cover monitoring with data transformation from time series of high resolution images is put forward. First the NDVI difference image and the composite of PC3,PC4, PC5 of the stacked 8 layers of time series of high resolution satellites are segmented into homogeneous objects. With development of the object-based ruleset classification system, the spatial extent of deforestation and afforestation can be identified over time across the landscape. Finally the change accuracy is achieved with reference data.