TY - JOUR
T1 - Discrimination of tropical vegetation types using SPOT multispectral data
AU - Franklin, Janet
N1 - Funding Information:
This work was supported by grants from San Diego State University to the author, the California Space Institute (CS1087) to J.E. Estes, and the National Geographic Society (3681-87) and the University of California to D.S. Simonett. I gratefully acknowledge the contributions of D.W. Steadman, D.S. Simonett, J.E. Estes, T. Utanga, V. Tupa, T. Maoate, M. Boaza, U. Simpson, T. and K. Tetava, N. Pouao, O. Peyroux, R. Brill, V. Moeroa, A. Whistler, M. Merlin, E. Wegenka, S. Schubel, E.D. Moore, V. Carter Steadman, M.S. Allen, C. Wood, C. and H. Shulman, and the people of the Cook Islands, to this project. This paper is dedicated to the memory of D.S. Simonett.
PY - 1993/6
Y1 - 1993/6
N2 - Vegetation types were discriminated using SPOT multispectral data on Miti'aro, a tropical oceanic island in the Cook Islands, Polynesia. Vegetation categories included undisturbed and disturbed forest on limestone, scrub, marsh, and other forest vegetation (including secondary upland forest and agroforestry). Most category pairs had high separability as measured by Jeffries‐Matusita distance and Euclidean distance for training site data. However, there was some class overlap as illustrated by unsuperaised clustering and assigning spectral clusters to vegetation classes using a reference map. Cloud cover was a problem encountered in optical imaging of this maritime tropical study area.
AB - Vegetation types were discriminated using SPOT multispectral data on Miti'aro, a tropical oceanic island in the Cook Islands, Polynesia. Vegetation categories included undisturbed and disturbed forest on limestone, scrub, marsh, and other forest vegetation (including secondary upland forest and agroforestry). Most category pairs had high separability as measured by Jeffries‐Matusita distance and Euclidean distance for training site data. However, there was some class overlap as illustrated by unsuperaised clustering and assigning spectral clusters to vegetation classes using a reference map. Cloud cover was a problem encountered in optical imaging of this maritime tropical study area.
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U2 - 10.1080/10106049309354408
DO - 10.1080/10106049309354408
M3 - Article
AN - SCOPUS:0027806466
SN - 1010-6049
VL - 8
SP - 57
EP - 63
JO - Geocarto International
JF - Geocarto International
IS - 2
ER -