ESTIMATING VEGETATION COVER USING VARIOUS GIS TECHNIQUES

Application of Gully and Rill Erosion Indicators for Estimating Soil Loss Using GIS Techniques

The problems of land degradation and soil loss are among the major problems of watersheds in Iran. For erosion andsediment estimation one can use statistical and empirical methods. For doing this, land unit map and the map of effectivefactors should be prepared. For erosion and sediment estimation one can use statistical and empirical methods. However,these empirical methods are usually time co...

Estimating Woody Vegetation Cover in an African Savanna using remote sensing and Geostatistics

Estimating Vertical Distribution of Vegetation Cover in Temperate Heterogeneous Forests Using Airborne Laser Scanning Data

Vertical structure is important for understanding forest environment, yet difficult to characterize, especially in temperate heterogeneous forests where the structure is complex. This study used data from a small-footprint airborne laser scanning (ALS) to estimate vegetation coverage in four stratum ranges in a warm temperate forest in Japan: >12 m, 8 12 m, 4 8 m, and 0 4 m in height. Field dat...

Detecting land cover changes through remote sensing and GIS techniques

This note concerns the updating of the land cover map of the Arno River basin (9.000 km) developed in the frame of a research project aimed at landslide risk assessment. The land cover map has been produced through the analysis of panchromatic/multispectral Landsat ETM+ images and TERRA-ASTER data; those data were integrated and compared with B/W and color ortho-photos. To improve photointerpre...

Vegetation cover change detection using RS and GIS in Chaharbagh rangelands of Golestan province for a period of 30-years

Using accurate and low-cost methods to monitor quantitative changes in vegetation cover play an important role in the efficient and sustainable management when the area is too large. In this study, the changes of vegetation cover were investigated using satellite data of TM (Landsat_5) and oli (Landsat_8) sensors for a 30-year period (1988-2018) in Chaharbagh rangeland of Golestan province. T...