DocumentCode
3595954
Title
Multi-resolution imaging spectroscopy resolving the structure of heterogeneous canopies for forest fire fuel properties mapping
Author
K?¶tz, Benjamin ; Schaepman, Michael ; Morsdorf, Felix ; Itten, Klaus ; Allg?¶wer, Britta ; Bowyer, Paul
Author_Institution
Dept. of Geogr., Zurich Univ., Switzerland
Volume
4
fYear
2003
Firstpage
2869
Abstract
Coniferous forests represent canopies with a high heterogeneity in the horizontal and as well in the vertical dimension. Consequently the interaction of incident radiation is dominated by the complex 3-D canopy structure and architecture. Radiative transfer approaches based on coupled leaf and canopy radiative transfer models still allow the simulation of the canopy reflectance as a function of leaf optical properties, canopy structure and viewing geometry as well as the retrieval of biophysical and biochemical canopy variables. High resolution imaging spectrometry supported by LIDAR data and radiative transfer models of different levels of complexities (SAIL, GeoSAIL) are employed to assess the influence of canopy heterogeneity and structure at different spatial scales. We discuss the relevance of single scene components and canopy structure to the recorded canopy reflectance and present a strategy to support radiative transfer models for biophysical and biochemical parameter retrieval relevant for forest fires.
Keywords
fires; forestry; optical radar; radar imaging; radiative transfer; vegetation mapping; 3D canopy structure; LIDAR data; biochemical canopy variables; biophysical canopy variables; canopy radiative transfer models; canopy reflectance; coniferous forests; forest fire fuel properties mapping; heterogeneous canopies; leaf optical properties; multiresolution imaging spectroscopy; three dimensional architecture; Biomedical optical imaging; Electromagnetic coupling; Fires; Fuels; Image resolution; Optical coupling; Optical imaging; Reflectivity; Solid modeling; Spectroscopy;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN
0-7803-7929-2
Type
conf
DOI
10.1109/IGARSS.2003.1294614
Filename
1294614
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