man has always been curious about his natural environmental, and has always been trying to know it more. to do this, he has employed many different ways and has used different information. in the meantime, he has examined nature phenomena indirectly and using remote sensing. today, expert and groups of experts are using remote sensing documents and this has caused them to believe that remote se...

Spatial Database is a collection of spatially referenced data that acts as a model of reality. Geographical Information System includes spatial data which is either in raster or vector form and data derived from remote sensors are increasingly utilized as source for GIS. Spatial data is the core part of the Geographical Information System. Data mining techniques are studied to discover knowledg...

Data distribution is one of the most important steps for the remote sensing applications; it depends on the Remote Sensing Data Distribution System (RS-DDS). The conventional RS-DDS such as GCMD Mapserver [1] or CEOP [2] often provides a web based user interface and supports little data types only. Although the WCS [3]/WFS [4]/WMS [5] purposed by OGC try to make it possible for applications to ...

Remote sensing, the science of obtaining information via noncontact recording, has swept the fields of ecology, biodiversity and conservation (EBC). Several quality review papers have contributed to this field. However, these papers often discuss the issues from the standpoint of an ecologist or a biodiversity specialist. This review focuses on the spaceborne remote sensing of EBC from the pers...

Two types of Soil Vegetation Atmosphere Transfer (SVAT) modeling approaches can be applied to monitor root-zone soil moisture in agricultural landscapes. Water and Energy Balance (WEB) SVAT modeling is based on forcing a prognostic root-zone water balance model with observed rainfall and predicted evapotranspiration. In contrast, thermal Remote Sensing (RS) observations of surface radiometric t...

This paper proposes a new approach to image matching by epipolar constraint and local reliability constraint for Remote Sensing Image. We define a new measure of matching support according to the local reliability constraint. A new search strategy—modified greedy algorithm is developed for robust image matching. This strategy only selects those matches having both high matching support and low ...

For analytical or semianalytical retrieval of shallow-water bathymetry and/or optical properties of the water column from remote sensing, the contribution to the remotely sensed signal from the water column has to be separated from that of the bottom. The mathematical separation involves three diffuse attenuation coefficients: one for the downwelling irradiance (K(d)), one for the upwelling rad...

The reliability of model predictions used in meteorology, agronomy or hydrology is partly linked to an adequate representation of the water and energy balances which are described in so-called SVAT (Soil Vegetation Atmosphere Transfer) models. These models require the specification of many surface properties which can generally be obtained from laboratory or field experiments, using time consum...

With the rapid development of RS and more mature and the precision of number of field surveys on the basis of Quick-Bird remote sensing data through visual interpretation of urban public green vegetation diversity survey the exits of mixed. Pixel mixed is one important factor of influence accuracy of Remote sensing image classification. In this article, combine genetic algorithm with BP propaga...