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United States Department of Agriculture

Agricultural Research Service

Research Project: USING REMOTE SENSING & MODELING FOR EVALUATING HYDROLOGIC FLUXES, STATES, & CONSTITUENT TRANSPORT PROCESSES WITHIN AGRICULTURAL LANDSCAPES Title: Emerging Issues in Land Remote Sensing

Authors
item Liang, S - UNIVERSITY OF MARYLAND
item Schaepman, M - WAGINENGIN UNIVERSITY
item Jackson, Thomas
item Jupp, D - CSIRO
item Li, X - CHINESE ACADEMY SCIENCES
item Liu, J - CHINESE ACADEMY SCIENCES
item Liu, R - CHINESE ACADEMY SCIENCES
item Strahler, A - BOSTON UNIVERSITY
item Townshend, T - UNIVERSITY OF MARYLAND
item Wickland, D - NASA

Submitted to: Book Chapter
Publication Type: Book / Chapter
Publication Acceptance Date: April 1, 2008
Publication Date: August 1, 2008
Citation: Liang, S., Schaepman, M., Jackson, T.J., Jupp, d., Li., X., Liu, J., Liu, R., Strahler, A., Townshend, T., Wickland, D. 2008. Emerging issues in land remote sensing. In: Liang, S., editor. Advances in Land Remote Sensing: System, Modeling, Inversion and Application. New York, NY: Springer. p. 485-494.

Technical Abstract: This paper summarizes the key questions and issues discussed in three review panels in the 9th International Symposium on Physical Measurements and Signatures in Remote Sensing (ISPMSRS) held in Oct. 2005 at Beijing. These three panels focused on remote sensing systems and sensors, modeling and inversion, and remote sensing applications. Some emerging issues in land remote sensing are further elaborated, including sensor networks, modeling complex landscapes, machine learning techniques for inversion, and spatial scaling. It also briefly outlines the papers included in this special issue.

Last Modified: 9/10/2014
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