Sulfur Dioxide (SO2) Monitoring Over Kirkuk City Using Remote Sensing Data

Evaluation of remote sensing indicators in drought monitoring using machine learning algorithms (Case study: Marivan city)

Remote sensing indices are used to analyze the Spatio-temporal distribution of drought conditions and to identify the severity of drought. This study, using various drought indices generated from Madis and TRMM satellite data extracted from Google Earth Engine (GEE) platform. Drought conditions in Marivan city from February to November for the years 2001 to 2017 were analyzed based on spatial a...

Drought Analysis of Alvand Boundary River Using Remote Sensing Data

Extended abstract 1- Introduction       The study of the behavior of rivers in the arid and dry areas is one of the most important tasks in the country. Because the area has increased the effects of drought due to the sensitivity of the area and rainfall shortage, it causes changes in the flow and sediment regime, water resources, agriculture, and so on. Since plants react more precisely to t...

Rangeland Monitoring Using Remote Sensing

Multi-scale Forest Habitat Monitoring Using Remote Sensing Data

Remote sensing imagery and advanced image analysis methods show high potential for monitoring forest habitat issues. The objective of this paper is to provide ready-to-use information on forest habitats by conducting a multi-scale approach for the delineation of such, and the assessment of their conservation status on multi-spectral satellite imagery of high and very high spatial resolution, as...

Monitoring of Water Quality Using Remote Sensing Data Mining

Remote sensing techniques play increasingly important role over recent decades in both problems of global climate change and frequent deterioration of the status of aquatic ecology, driven by the ever-increasing needs of growing populations for drinking water, polluted by overland runoff from point and non-point sources, as well as fish and other seafood (Pozdnyakov et al., 2005). With the adve...