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Deforestation modeling using logistic regression and GIS (Case study: Northern Ilam forests, Ilam Province, Iran)
| Content Provider | Semantic Scholar |
|---|---|
| Author | Arekhi, Saleh Jafarzadeh, Ali Akbar |
| Copyright Year | 2012 |
| Abstract | + 2001 and ETM + 2007 are processed and classified. There are two classes as, forest and non-forest in order to assess deforestation factors. The logistic regression method is used for modeling and estimating the spatial distribution of deforestation. The results show that about 19,294 ha from forest areas are deforested in the 19 years. Modeling results also indicate that more deforestation occurred in the fragmented forest cover and in the areas of proximity to forest/non forest edge. Furthermore, slope and distance from road and settlement areas had negative relationships with deforestation rates. Meanwhile, deforestation rate is decreased with increase in elevation. Finally, a simple spatial model is presented that is able to predict the location of deforestation by using logistic regression. The validation was also tested using ROC approach which was found to be 0.96. |
| File Format | PDF HTM / HTML |
| DOI | 10.5897/AJAR11.2041 |
| Volume Number | 7 |
| Alternate Webpage(s) | https://wwmw.academicjournals.org/article/article1381134763_Arekhi%20and%20Jafarzadeh.pdf |
| Alternate Webpage(s) | https://doi.org/10.5897/AJAR11.2041 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
