Cheatgrass (Bromus tectorum) is of growing concern among farmers, ranchers, and researchers in the intermountain west due to its ability to alter rangeland vegetation communities and their associated fire regimes. Quickbird multi-spectral imagery (spatial resolution 2.4 mpp) was used to detect and model cheatgrass presence in southeastern Idaho. Training sites were created using 2003 field data...

The growing expansion of agricultural activities without consideration of the potentialities and limitations of land constitutes a potential source of environment degradation. This work aimed to evaluate the physical proprieties of lands in the micro bosin of Una, Sapé in the state of Paraiba, Brazil, using the classification of the land use capacity . The area is located in the eastern part of...

Correcting satellite imagery for atmospheric effects is a common procedure today. Indeed there are many techniques and software applications that offer atmospheric correction processes. This study compared several techniques (apparent reflectance, dark-object subtraction, Cos(t), and the full cost model) in both Idrisi and ENVI software to determine the level of similarity between resulting ima...

Vegetation indices are commonly applied to remote sensing data and their application is based upon well established image processing theory and methodology. Simple band ratio vegetation indices allow for consistent and uniform data processing and analysis. However, it was hypothesized that many of these standard vegetation indices (e.g., SR, NDVI and SAVI) may not produce results any different ...

In the north-western Atacora region, rugged terrain limits access to agricultural land and creates a particular dynamic of cover. The objective this research is simulate cover in 2050s mountainous area northwestern Benin. Landsat 5 TM images from 1988 8 OLI-TIRS 2020 are main data used. Supervised classification modelling were performed with Idrisi Selva software. annual regression rate 18.30 %...