| Título: | Evaluation of Forest Extent Changes: Multi-temporal Satellite Images |
| Autores: |
Podduwa Kankanamge Subash Chaninda Jayasinghe; Tokyo University of Agriculture and Technology Masao Yoshida; Ibaraki University |
| Fecha: | 2011-01-18 |
| Publicador: | Applied Remote Sensing |
| Fuente: |
 |
| Tipo: |
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| Tema: |
Environmental conservation; remote sensing Remote sensing, monitoring forest, GIS, Neural network, Sri Lanka Forest cover |
| Descripción: | The main purpose of the present study was to develop a high accuracy forest extent map using spatial data mining techniques (Artificial Neural Network (ANN)), supervised and unsupervised classification and GIS overlay processing methods. Another purpose of this study was to monitor forest extent changes using multi-temporal satellite images (Land sat 5 TM 1992 and Aster 2006). Study area is located in Nuwareliya of Sri Lanka. The first approach consisted of supervised classification and the second approach consisted of unsupervised classification. Use of a combination of several classifications mapping provides better results than use of single classification. This is the new idea of this research and we propose a GIS overly processing technique that combines mapping with previous supervised and unsupervised classification to produce an improved forest cover map. For this purpose, derived thematic maps (supervised and unsupervised) were combined with GIS overlay techniques to generate a new map. Then, these three maps were reclassified and converted to ASCII format and suitable format for ANN modeling was prepared. Back-propagation algorithm was used for the implementation of ANN modeling. The overall accuracy of Aster was 96.2 whereas that of land sat TM was 94.6. Results revealed that the extent of forest cover was lost by 5.28% in the present study area in the period between 1992 and 2006. The results of this study are expected to be useful for researchers, managers and policy makers for updating existing forest maps, detecting forest changes and planning. |
| Idioma: | Inglés |
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