25 October 2010 Monitoring vegetation cover changes using satellite data during 1972 to 2007
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Abstract
One of the influential tools in the study field of pasture and vegetation cover science is technology of remote sensing and satellite data. Satellite data have essential role in preparing needed information for different vegetation aspects studying. One of the applications of satellite data is to prepare the vegetation cover percentage map. In this studying order to prepare the vegetation cover crown percentage maps of Mouteh wildlife refuge between 1972 and 2007, the satellite data were used. vegetation indices were produced using MSS sensors for 1972, TM for 1987, TM for 1998 and image of LISS III sensor for 2007. In this study cover crown percentage Map was provided by using indices which could decrease the soil reflectance. At first corrections was performed on each images. To make correlation between cover crown percentage and satellite data, 290 plot data with appropriate distribution across the region were collected. By using data and several image processing cover crown percentage was estimated for previous years. For each image cover crown percentage models were produced by simple linear regression between produced vegetation indices from each image and field data calculated. Regarding to data analysis SAVI plant index had the highest correlation with cover crown percentage and selected for producing vegetation crown cover percentage. using produced model from SAVI index vegetation crown cover percentage maps were produced in four classes percentage for each year. Results showed that cover crown percentage had decreasing trend in this period.
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Vahid Rahdari, Vahid Rahdari, Alireza Soffianian, Alireza Soffianian, Seyed Jamalaldin Khajaldin, Seyed Jamalaldin Khajaldin, Saedeh Maleki Najafabadi, Saedeh Maleki Najafabadi, "Monitoring vegetation cover changes using satellite data during 1972 to 2007", Proc. SPIE 7831, Earth Resources and Environmental Remote Sensing/GIS Applications, 783120 (25 October 2010); doi: 10.1117/12.864868; https://doi.org/10.1117/12.864868
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