REMOTE-SENSING OF MANGROVE WETLANDS - RELATING CANOPY SPECTRA TO SITE-SPECIFIC DATA

Citation
Ew. Ramsey et Jr. Jensen, REMOTE-SENSING OF MANGROVE WETLANDS - RELATING CANOPY SPECTRA TO SITE-SPECIFIC DATA, Photogrammetric engineering and remote sensing, 62(8), 1996, pp. 939-948
Citations number
31
Categorie Soggetti
Geosciences, Interdisciplinary",Geografhy,"Photographic Tecnology","Remote Sensing
Journal title
Photogrammetric engineering and remote sensing
ISSN journal
00991112 → ACNP
Volume
62
Issue
8
Year of publication
1996
Pages
939 - 948
Database
ISI
SICI code
Abstract
Remote sensing was examined as a tool to describe the spectral and str uctural changes within and between mangrove species and community type s. To accomplish this goal, high-resolution canopy reflectance spectra were obtained at 21 mangrove sites in southwest Florida. This was in addition to leaf spectra, canopy closure, height, and species composit ion from a number of these sites. High relative variability typified m easurements of canopy reflectance spectra, canopy height, and percent species composition, while leaf reflectance variances within species ( black or red, about 0.04 to 0.06 percent) were higher than between spe cies (about 0.02 percent). A transformed canopy closure variable - Lea f Area Index (LAI) - was low with little variance, and it was signific antly correlated to canopy height but not to species composition. Mean reflectances were generated for the blue, green, red, and near-infrar ed (NIR) wavelength regions from the obtained canopy reflectance spect ra by using either user-defined bandwidths or bandwidths defined for t he Advanced Very High Resolution Radiometer, Thematic Mapper, and XMS (SPOT) sensors. Results from these sets of reflectances in combination with correlation analyses suggest blue and red reflectances were redu ndant as were SPOT panchromatic and green reflectances and all normali zed difference vegetation indexes derived for each set of NIR and red reflectances. Eighty-four percent of the LAI variance was explained by using any generated normalized difference vegetation index; however, species composition was not correlated to any combination of reflectan ce bands or vegetation index.