The U.S. Geological Survey has produced the Landsat Burned Area Essential Climate Variable (BAECV) product for the conterminous United States (CONUS), which provides wall-to-wall annual maps of burned area at 30 m resolution (1984–2015). Validation is a critical component in the generation of such remotely sensed products. Previous efforts to validate the BAECV relied on a reference dataset der...

This paper describes two recent real life end-to-end experiences that e-GEOS had in the field of rapid response to emergency situations in 2009: L’Aquila earthquake in Italy (April 2009) and Parma / Pepang typhoon in the Philippines (October 2009). In both cases public institutions and no profit organizations (NPO) received support on a best effort basis through a) fast and privileged access to...

DSM generation from satellite imagery is a long-lasting issue and it has been addressed in several ways over the years; however, expert users are continuously searching for simpler but accurate reliable software solutions. One of latest ones provided by commercial Agisoft Metashape (since version 1.6), previously known as Photoscan, which joins other already available open-source tools. The pre...

Feature selection to reduce redundancies for efficient classification is necessary but usually time consuming and challenging. This paper proposed a comprehensive analysis optimum feature the most classifier accurate urban area mapping. To this end, 136 multiscale textural features alongside panchromatic band were initially extracted from WorldView-2, GeoEye-3, QuickBird satellite images. The w...

the purpose of this study was to determine the plant density of sugar beet fields in qazvin region using satellite images and remote sensing techniques. the plant density can be used to estimate the pre-harvest sugar beet yield and as a result the proper management of agricultural and industrial processes involved in sugar production. satellite data can be used to remove the cost and time of co...

The monthly distribution and abundance of sand flies are influenced by both biotic and abiotic factors. The present study aimed to evaluate the seasonal distribution of sand flies and the relation between their abundance and environmental parameters, including vegetation and climate. This study was conducted over a 2-year period (April 2012 to March 2014). Monthly distribution was evaluated thr...