Abstract:
In this study, we used 30m Landsat TM data to develop regression models that estimate the deforestation area of China. At first, the Maximum Likelihood Classification met...Show MoreMetadata
Abstract:
In this study, we used 30m Landsat TM data to develop regression models that estimate the deforestation area of China. At first, the Maximum Likelihood Classification method was used to achieve the image classification based on the priori knowledge from the field measured data over China. Secondly, high resolution SPOT-5 data was used to validate the classification precision of Landsat TM data and build the deforestation area models. All built model highly accurate, and the R2 are bigger than 0.85. Finally, the deforestation area over China was estimated according to regression model developed.
Published in: 2014 IEEE Geoscience and Remote Sensing Symposium
Date of Conference: 13-18 July 2014
Date Added to IEEE Xplore: 06 November 2014
Electronic ISBN:978-1-4799-5775-0