Title :
Multi-Temporal, Multi-Angle Evaluation with CHRIS of Coastal Forests
Author :
Dyk, Andrew ; Goodenough, David G. ; Li, Jing Y. ; Niemann, K. Olaf ; Guan, Aimin ; Chen, Hao ; Duong, James
Author_Institution :
Pacific Forestry Centre, Natural Resources Canada, Victoria, BC
fDate :
July 31 2006-Aug. 4 2006
Abstract :
The Compact High Resolution Imaging Spectrometer (CHRIS) is aboard the ESA PROBA satellite. CHRIS acquires imagery from 415 nm to 1050 nm in five preprogrammed modes. In mode 4, CHRIS acquires 18 bands with emphasis on the red-edge at the full spatial resolution of 18 m. CHRIS acquires 5 hyperspectral images over an angular range of 55 degrees along track. In 2004, five clear CHRIS image sets were acquired throughout the summer over the Greater Victoria Watershed District (GVWD). These CHRIS acquisitions were undertaken for our Evaluation and Validation of CHRIS for National Forests Project (EVC). This paper reports on the analysis of these CHRIS data for creating forest data products for species recognition for sustainable forest management. Emphasis has been given to the utilization of the multi-angle multi-date characteristics of these data takes. The multi-angles of CHRIS improve the accuracies of forest species recognition and stand densities compared to a nadir view only. Testing on five dates saw an average overall accuracy improvement of 14.3% for non-aggregated results and 8% improvement in the aggregated results. Combining multi-date nadir imagery also provided an improvement in classification accuracy by 14.3% and the non-aggregated accuracy by 10%.
Keywords :
forestry; geophysics computing; image recognition; vegetation; CHRIS coastal forests; Compact High Resolution Imaging Spectrometer; ESA PROBA satellite; EVQ; GVWD; Greater Victoria Watershed District; National Forests Project; forest data products; forest species recognition; hyperspectral images; multidate nadir imagery; stand densities; sustainable forest management; Forestry; High-resolution imaging; Hyperspectral imaging; Sampling methods; Satellites; Sea measurements; Spatial resolution; Spectroscopy; Target tracking; Testing;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-9510-7
DOI :
10.1109/IGARSS.2006.33