GIS-Based Rainfall Analysis Using Remotely Sensed Data in Kirkuk Province, Iraq

Verification Using Remotely Sensed Data

Soil moisture is an important hydrologic variable that controls various land surface processes. In spite of its importance to agriculture and drought monitoring, soil moisture information is not widely available on a regional scale. However, long-term soil moisture information is essential for agricultural drought monitoring and crop yield prediction. The hydrologic model Soil and Water Assessm...

identifying geothermal resources using remotely sensed data

geothermal energy serves as a renewable and clean energy. thanks to its great advantages such as relatively harmless, low costs and environmental friendly, it may be a good substitute for fossil fuels. in the present study, a geothermal survey is conducted in an area prone geothermal ferdows of south khorasan province in eastern iran using etm+ data landsat 7 geo-referenced to topography map in...

Object-based Change Detection Using High-resolution Remotely Sensed Data and Gis

High resolution remotely sensed images provide current, detailed, and accurate information for large areas of the earth surface which can be used for change detection analyses. Conventional methods of image processing permit detection of changes by comparing remotely sensed multitemporal images. However, for performing a successful analysis it is desirable to take images from the same sensor wh...

Eblup Estimates by Using Remotely Sensed Data

The knowledge of auxiliary variables for entire population is a necessary task in many agricultural applications; for example a method widely applied to improve the efficiency of crop area estimations is the regression estimator (Cochran, 1977), that exploit the correlation between classified satellite images (auxiliary information) and ground surveys’ data. The regression analysis offer a lot ...

Conditional simulation of remotely sensed rainfall data using a non-Gaussian v-transformed copula