Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 1437-1440, 2016
https://doi.org/10.5194/isprs-archives-XLI-B8-1437-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
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 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.
Conference paper (PDF, 765 KB)


Citation: Li, S. M., Li, Z. Y., Chen, E. X., and Liu, Q. W.: OBJECT-BASED FOREST COVER MONITORING USING GAOFEN-2 HIGH RESOLUTION SATELLITE IMAGES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 1437-1440, https://doi.org/10.5194/isprs-archives-XLI-B8-1437-2016, 2016.

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