Due to the low information content of individual SAR images, single-band SAR data do not provide highly accurate land cover classification. However, in areas under risk where rapid land cover mapping is required, the advantages of SAR which include cloud penetration and day/night acquisition, are evident in comparison to optical data. The main research goal of this study is to fuse different fr...

Abstract. Most land surface models can, depending on the simulation experiment, calculate vegetation distribution and dynamics internally by making use of biogeographical principles or maps to prescribe spatial temporal changes in distribution. Irrespective whether are simulated prescribed, it is not practical represent across globe at species level because its daunting diversity. This issue ca...

Land cover classification of Landsat images is one of the most important applications developed from Earth observation satellites. The last four decades were marked by different developments in land cover classification methods of Landsat images. This paper reviews the developments in land cover classification methods for Landsat images from the 1970s to date and highlights key ways to optimize...

The objective of this study is to develop land cover classification algorithm suited for the eastern Asia by using multi-temporal MODIS land reflectance products; Surface Reflectance 8-Day L3 product and Nadir BRDF-Adjusted Reflectance 16-Day L3 product. In this study, land cover maps derived from these two kinds of source data products are generated and compared. Time-domain co-occurrence matr...

in the recent years, human activities have led to changes in land use and land cover, consequently, these changes lead to the structure and function of ecosystems. spatial-temporal change detection of land use is important to understand the relationships and interactions between human and natural resources and to make appropriate decisions due to changes in land use and land cover occurs in bro...

in this research, the applicability of geographic information system (gis) and remote sensing (rs) techniques was tested to assess soil erosion risk with the icona erosion model. this study was carried out in the tange bostanak area because of its variety of diverse landforms, land uses and land covers. the erosion risk assessment phase of this model consists of seven steps that mainly use slop...

This paper proposed a novel method of decision fusion based on weights of evidence model (WOE). The probability rules from classification results from each separate dataset were fused using WOE to produce the posterior probability for each class. The final classification was obtained by maximum probability. The proposed method was evaluated in land cover classification using two examples. The r...