Title :
Evaluation of JERS-1 L-band SAR backscatter for stem volume retrieval in boreal forest
Author :
Santoro, M. ; Schmullius, C. ; Askne, J. ; Eriksson, L.
Author_Institution :
Dept. of Geoinformatics & Remote Sensing, Friedrich-Schiller-Univ., Jena
Abstract :
To assess the possibility of using L-band synthetic aperture radar (SAR) backscatter for forest stem volume mapping in the boreal zone, a comparative analysis was carried out at test sites located in Sweden, Finland and Central Siberia from which an extensive set of Japanese Earth Resources Satellite (JERS-1) images and ground data was available. The backscatter showed clear seasonal dynamics, increasing by 3-4 dB in dense forests and 1-2 dB in sparse forests when going from frozen to unfrozen conditions. To retrieve stem volume a simple L-band Water Cloud-related scattering model was used. Model training performed well in all cases, the model parameters estimates being affected by weather conditions at acquisition and test site-specific forest stand structure. At each test site the retrieval performed best under unfrozen conditions and worst under frozen conditions. The highest retrieval accuracy was achieved at the small and intensively managed test site of Kattbole in Sweden with a 25% relative RMS error. For the other test sites the much larger retrieval error could be explained as a consequence of heterogeneities in the forest stand structure, as well as differences in the ground dielectric properties and inaccuracy in the ground data
Keywords :
dielectric properties; forestry; radar cross-sections; synthetic aperture radar; vegetation mapping; Central Siberia; Finland; JERS-1 L-band SAR backscatter; JERS-1 images/ground data; Japanese Earth Resources Satellite; Kattbole; L-band Water Cloud-related scattering model; L-band synthetic aperture radar; Sweden; boreal forest; frozen-unfrozen condition; ground dielectric property; intensively managed test site; larger retrieval error; model parameter estimation; relative RMS error; seasonal dynamics; stem volume retrieval; test site-specific forest stand structure; weather condition; Backscatter; Image analysis; L-band; Management training; Performance evaluation; Radar scattering; Satellites; Synthetic aperture radar; Testing; Water resources;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1369077