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...

Landuse and land cover change (LUCC) is regarded as a good indicator that represents the impacts of human activities on the earth’s environment. When the large collection of multi-temporal satellite images has become available, it is possible to study a long-term historical process of land cover change. The Pearl River Delta (PRD) region in southern China is a region where the rapid development...

Accurate and timely change detection of the Earth’s surface features is extremely important for understanding the relationships and interactions between people and natural phenomena. Owing to the all-weather response capability, polarimetric synthetic aperture radar (PolSAR) has become a key tool for change detection. Change detection includes both unsupervised and supervised methods. Unsupervi...

Change detection is usually treated as a problem of explicitly detecting land cover transitions in satellite images obtained at different times, and helps with emergency response and government management. This study presents an unsupervised change detection method based on the image fusion of multi-temporal images. The main objective of this study is to improve the accuracy of unsupervised cha...

The increasing population and economic activities are putting pressure on the available land resources. Human population and their use of land have transformed the terrestrial biosphere into anthropogenic biomes (anthromes). The present study analyses the urban land use/cover change and land transformation in Srinagar city which is located in the valley of the hill state of Jammu and Kashmir. A...

This study proposed a multi-target hierarchical detection (MTHD) method to simultaneously and automatically detect multiple directional land cover changes. MTHD used a hierarchical strategy to detect both abrupt and trend land cover changes successively. First, Grubbs’ test eliminated short-lived changes by considering them outliers. Then, the Brown-Forsythe test and the combination of Tomé’s m...

The rapid growth in urban population is seen to create a need for the development of more urban infrastructures. In order to meet this need, natural surfaces such as vegetation are been replaced with non-vegetated surfaces such as asphalt and bricks which has the ability to absorb heat and release it later. This change in land cover is seen to increase the land surface temperature. Previous stu...

the present study aims to simulate the spatial pattern of land use change in lisar protected area,iran. land cover maps for 1989, 2000, and 2007 were depicted using tm, etm+, and irs liss-iii images ofthe area at stake. images were classified using a merge of unsupervised and supervised classification. camarkov model was used to predict land cover maps as a top-down approach in investigating la...