Title :
Extraction of forest attribute information using multisensor data fusion techniques: a case study for a test site on Vancouver Island, British Columbia
Author :
Bhogal, A. S Pal ; Goodenough, D.G. ; Dyk, A. ; Chen, H. ; Niemann, K.O. ; West, C.
Author_Institution :
Pacific Forestry Centre, Natural Resources Canada, Victoria, BC, Canada
fDate :
6/23/1905 12:00:00 AM
Abstract :
The use of multisensor and multitemporal remotely sensed data is important for the extraction of forest attribute information for Canada´s 418 million km? of forests. Hyperspectral data can provide vegetation signatures for forest attributes and canopy chemistry. Hyperspatial data can be used for individual tree recognition. Data from P-band synthetic aperture radar (SAR) have yielded accurate timber volume information in experiments involving managed plantations. We present the results of a study undertaken to assess forest attribute determination over the Greater Victoria Watershed District (GVWD) test site on Vancouver Island, BC, Canada from the following airborne and satellite sensors: Multi-detector Electro-optical Imaging Scanner (MEIS), Airborne Visible Infrared Imaging Spectrometer (AVIRIS), AirSAR and LANDSAT-7. GIS information and field data from field spectrometers are used for validation and calibration of AVIRIS and LANDSAT-7 ETM+ data. Inventory information (e.g. stem density, biomass) for our plots is known as a result of both field sampling and data fusion of GIS and high spatial resolution MEIS data. Segmentation techniques are applied to identify spatially homogeneous objects for quantification of forest attributes
Keywords :
feature extraction; forestry; infrared imaging; infrared spectrometers; radar imaging; remote sensing by radar; sensor fusion; synthetic aperture radar; AVIRIS; AirSAR; Airborne Visible Infrared Imaging Spectrometer; British Columbia; Canada; GIS information; Greater Victoria Watershed District; LANDSAT-7; MEIS; Multi-detector Electro-optical Imaging Scanner; P-band SAR; Vancouver Island; airborne sensors; biomass; calibration; data fusion; field sampling; field spectrometers; forest attribute information; forest canopy chemistry; hyperspatial data; inventory information; multisensor data fusion; multisensor remotely sensed data; multitemporal remotely sensed data; satellite sensors; segmentation techniques; stem density; synthetic aperture radar; tree recognition; vegetation signatures; Chemistry; Data mining; Geographic Information Systems; Hyperspectral imaging; Hyperspectral sensors; Remote sensing; Satellites; Spectroscopy; Synthetic aperture radar; Vegetation mapping;
Conference_Titel :
Communications, Computers and signal Processing, 2001. PACRIM. 2001 IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-7080-5
DOI :
10.1109/PACRIM.2001.953723
