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Proceedings Paper

Developing the spectral trajectories of major land cover change processes
Author(s): Chengquan Huang; John R. G. Townshend; Xiwu Zhan; Matthew Hansen; Ruth DeFries; Rob Sohlberg
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Paper Abstract

A major problem in operational land cover change detection using remotely sensed data is to separate the change signals caused by land cover changes from those due to vegetation phenology. This study provides an approach to this problem by systematically analyzing the spectral properties of major land cover change processes and the phenological profiles of different land cover types. The phenological profiles were derived from a global data set consisting of a full phenological year's data record of the 1 km monthly composites from the Advanced Very High Resolution Radiometer (AVHRR), while land cover change signals were simulated from the spectral signatures of corresponding land cover types in different seasons. A decision tree method was used to derive the decision rules that provide best separation between the change signals of land cover changes and vegetation phenology. These decision rules were referred to as land cover change trajectories. A complete set of change trajectories was developed for the globe in all seasons of a phenological year. Results from this study indicate that during most seasons of a phenological year, major land cover change processes including deforestation, denudation, revegetation, flooding, flood receding and vegetation burning, can be separated form one another and from vegetation phenology in the red-near infrared space. The derived trajectories, when validated, can serve as a theoretical basis for developing operational change detection algorithms.

Paper Details

Date Published: 17 August 1998
PDF: 8 pages
Proc. SPIE 3502, Hyperspectral Remote Sensing and Application, (17 August 1998); doi: 10.1117/12.317807
Show Author Affiliations
Chengquan Huang, Univ. of Maryland/College Park (United States)
John R. G. Townshend, Univ. of Maryland/College Park (United States)
Xiwu Zhan, Univ. of Maryland/College Park (United States)
Matthew Hansen, Univ. of Maryland/College Park (United States)
Ruth DeFries, Univ. of Maryland/College Park (United States)
Rob Sohlberg, Univ. of Maryland/College Park (United States)


Published in SPIE Proceedings Vol. 3502:
Hyperspectral Remote Sensing and Application
Robert O. Green; Qingxi Tong, Editor(s)

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