Spatial Predictions of Cover Attributes of Rangeland Ecosystems Using Regression Kriging and Remote Sensing

Rangeland Monitoring Using Remote Sensing

Investigation of periodic changes of the Oman Sea coastline using remote sensing data and spatial analysis

Extended abstract   1- Introduction Coastal environments are one of the most sensitive environmental systems under the influence of dominant hydrodynamic processes. Coastal changes and evolution are occurring very fast. Coastal areas are now gradually becoming known as severe natural and man-made disturbances, including sea levels rising, coastal erosion and sedimentation, and over-exploitat...

Analysis of spatial variability of soil properties using geostatistics and remote sensing

Soil mapping is one of the basic studies in the natural resource sector. The purpose of this study was to analyze spatial of soil properties on the map of arid areas and deserts. For this purpose, a region with an area of 600 hectares in Qom that considered Salt Lake watershed. Specified methods used include inverse distance methods, radial functions, and prediction local general estimate. Krig...

Regression-kriging for characterizing soils with remote- sensing data

In precision agriculture regression has been used widely to quantify the relationship between soil attributes and other environmental variables. However, spatial correlation existing in soil samples usually violates a basic assumption of regression: sample independence. In this study, a regression-kriging method was attempted in relating soil properties to the remote sensing image of a cotton f...

Analyzing the Spatial Pattern of Drought in Central and South Zagros Using Remote Sensing Indicators

Introduction: As a complex phenomenon occurring due to a long period of poor precipitation, drought causes water scarcity in the soil and the hydrological system via hydrological, bringing about long-term consequences which may lead to severe economic, environmental, and social problems worldwide. Droughts are classified into four types: meteorological (rainfall), agricultural (soil’s moisture)...