In recent years, sequential tests for detecting structural changes in time series have been adapted for deforestation monitoring using satellite data. The input time series of such sequential tests is typically a vegetation index (e.g., NDVI), which uses two or three bands and ignores all other bands. Being limited to a vegetation index will not benefit from the richer spectral information prov...

drought is a major problematic phenomenon for the mostly semi-arid country of iran. the north centralregions of iran (north of esfahan and ghom province) have suffered from severe droughts several times duringthe last three decades. the frequent occurrence of drought in these regions is due to low and inconsistentprecipitation, abnormally high temperatures, increases in surface albedo and evapo...

Cutting-edge remote sensing technology has a significant role for managing the natural resources as well as the any other applications about the earth observation. Crop monitoring is the one of these applications since remote sensing provides us accurate, up-to-date and cost-effective information about the crop types at the different temporal and spatial resolution. In this study, the potential...

As the relationship between land surface temperature (LST) and Normalized Difference Vegetation Index (NDVI) can not be able to effectively apply after NDVI reached saturation[1]. In this study, the vegetation fraction, which derived from Dimidiate Pixel Model, as the indicator of vegetation abundance has been introduced to analyze remote sensing of the change of urban heat islands (UHIs). Land...

The ecological and environmental conditions in semiarid areas are closely linked to landscape dynamics. This study examined the seasonal vegetation activities of landscape classes and dynamics in the Loess Plateau in North Shaanxi Province, China. Landscape dynamics were studied by comparing Landsat images in 1987 and 2007, and classified as landscape transitions, landscape variations and uncha...

Spatially-explicit depictions of plant productivity over large areas are critical to monitoring landscapes in highly heterogeneous arid ecosystems. Applying radiometric change detection techniques we sought to determine whether: (1) differences between preand post-growing season spectral vegetation index values effectively identify areas of significant change in vegetation; and (2) areas of sig...

Many parameters, such as albedo, vegetation index and leaf area index (LAI) inversed from satellite images, often get saturated when the surface vegetation cover reaches a certain high level. In order to analyze the saturation phenomena in parameter inversion, we analyze the changing of canopy reflectance and backscattering with increasing of LAI through PROSAIL and MIMICS model respectively. T...