Inundation is linked to water, carbon, and energy budgets at landscape to global scales. We describe a new remote-sensing technique for identifying inundated areas based on the properties of the glitter—the strong, angular signature reflection that is characteristic of surface water and uncharacteristic of other cover types. We discriminated three cover types—vegetation emergent above inundated...

Because of the extreme importance of remote sensing as a data input to GIS, it has. Remote sensing can be defined as any process whereby information is.Remote sensing is the process of acquiring datainformation about. Application G-The final element of the remote sensing process is achieved when we.Abstract : Remote sensing is a technique to observe the earth surface or the atmosphere from. Pro...

This study addresses the issue of the variability and heterogeneity problems that are expected from a sensor with a larger footprint having homogenous and heterogeneous sub-pixels. Improved understanding of spatial variability of soil surface characteristics such as land cover and vegetation in larger footprint are critical in remote sensing based soil moisture retrieval. This study analyzes th...

Complex variation in terrestrial biogeochemical cycles results from climatic, edaphic, biotic and human processes operating at multiple spatial and temporal scales. This variation cannot easily be resolved at the landscape, regional or global level without an integrated effort involving field research, modeling and remote sensing. To date, the role of remote sensing in terrestrial biogeochemica...

The remote sensing technology can extract change information of land cover quickly, and is widely used in real-time monitoring land use changing and urban expansion. According to the characteristics of land cover information identification present in high resolution remote sensing images, a new identification algorithm of land cover change information based on independent component analysis (IC...

Land use can be defined as the values that humans obtain from landscapes. What is it that people are actually doing on the landscape? Though remote sensing is often used for mapping land use and land cover over large areas, to actually map land use usually requires some careful human interpretation of the imagery or, better, surveying or interviewing people on the ground to identify their use o...

Satellite image classification is one of the most significant applications in remote sensing. Remote sensing data obtained from different optical sensors have been commonly used to characterize and quantity land information. However, conventional optical remote sensing is limited by weather conditions. Synthetic aperture radar (SAR), with the allweather and all-time advantages, is important in ...

Malaria remains one of the greatest killers of human beings, particularly in the developing world. The World Health Organization has estimated that over one million cases of Malaria are reported each year, with more than 80% of these found in Sub-Saharan Africa. The anopheline mosquito transmits malaria, and breeds in areas of shallow surface water that are suitable to the mosquito and parasite...

This contribute deals with the use of surface parameters extracted from satellite remote sensing images for the setup of the input dataset required by pollutants atmospheric dispersion models (PATM). These models need 2D distributions (grids) of many surface parameters to model turbulence parameters, as roughness length, albedo, leaf area index and Bowen ratio. Very often these parameters are s...

abstract evapotranspiration (et) determination is a key factor for irrigation scheduling, water balance, irrigation system design and management and crop yields simulation. therefore many scientists have tried to estimate evapotranspiration in different spatial and temporal scales. remote sensing is a one of new technique in estimation of et in regional scales. so, in this study it’s tried to e...