LANDSAT MSS SATELLITE IMAGE PROCESSING AS A TOOL FOR NATIVE
FOREST MAPPING IN THE EASTER SAN JUAN PROVINCE ARGENTINA
Graciela Salinas de Salmuni
Marta I. Lund
Marcelo Roldan
Janina Arturo
Universidad Nacional de San Juan
Facultad de Ingenieria
PREMA - Procesamiento de Informacion de
Recursos Naturales y Medio Ambiente
Departamento de Ingenieria de Minas
Av. Libertador de San Martin 1109 (Oeste)
5400 San Juan, Argentina
ISPRS Commission VII / Working Group 3
ABSTRACT
The study arise from the observation of an indiscriminate use of the natural resources, mainly
deforestation and the pasture exploration for cattle raising, shigly important deterioration of the natural
environment caused by the increasing desertification has been produced. Furthermore, at present a
blurred catastral situation and a loss of indefinite zonification. MSS image is a fast and versatile tool for
forest mapping is the first step in the study of desertification of the area. In this study the Landsat images
could be considered as a complementary interpretative tool instead of a replacement for low altitude
aerial photographs. The study was done taking into account the three geomorphological units of the
considered area: mountain areas, fluvial plain and dunes. Digital procedures of the images are useful for
classifying forest according to ecosystem zones. The result of classification is the identification of the
distinct classes in Landsat MSS images data. Reference data associated with the spectral classes of the
cover types of interest. The field work allowed further knowledge about the land cover types under
analysis.
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