Title :
Testing TM and SPOT data as input to a canopy reflectance model for mapping density and size of trees in forest stands
Author :
Gjertsen, Arnt Kristian
Author_Institution :
NORUT IT, Tromso, Norway
Abstract :
A new method, based on region-growing segmentation and a variance-dependent geometric-optical canopy model, is tested to map forest stand attributes such as crown size and tree spacing. The principal objective was to test whether SPOT´s smaller 20-m pixel leads to improved inversions of tree size and spacing relative to what has been experienced earlier with Landsat TM´s larger 30-m pixel. Theory gives good reason to expect that a finer spatial resolution-smaller pixels-will improve the results, especially for tree size. However, the results show that 20-m pixels is not significantly better than 30-m pixels as input to the model. It turns out that many stands are outliers far off the field-measured values, but when eliminating outlier stands, the results are promising
Keywords :
forestry; geophysical techniques; geophysics computing; image recognition; remote sensing; Landsat; SPOT; TM; canopy reflectance model; density; forest stand; forestry; geophysical measurement technique; image recognition; land surface vegetation; multispectral imaging method; optical remote sensing; pattern recognition; region growing segmentation; resolution; satellite; size; spacing; tree; variance dependent geometric optical canopy model; Casting; Lighting; Mirrors; Reflectivity; Remote sensing; Satellites; Shape; Solid modeling; Testing; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International
Conference_Location :
Tokyo
Print_ISBN :
0-7803-1240-6
DOI :
10.1109/IGARSS.1993.322227