Over the past two decades, severe mounta in pine beetle (MPB) outbreaks have affected several million hectares of forest in western North America. The extensive ecological and economic damage caused by widespre ad insect infes tations make understanding the development and spread of MPB outbreaks critical. This study uses a time series of Landsat5 TM and Landsat7 ETM + images to map the spread ...

La caracterización y delimitación de la cobertura vegetal existente en una determinada área geográfica es vital importancia para adecuada gestión los recursos naturales. En tal sentido, esta investigación propone metodología realizar tipos subcuenca Quillcay. El estudio está localizada distritos Huaraz e Independencia, provincia Huaraz, Ancash; ladera occidental media Cordillera Blanca Cuenca d...

Live fuel moisture content (LFMC) is an input factor in fire behavior simulation models highly contributing to ignition and propagation. Developing capable of accurately estimating spatio-temporal changes LFMC different forest species needed for wildfire risk assessment. In this paper, empirical model based on multivariate linear regression was constructed the cover classified as shrublands cen...

The COVID-19 pandemic has negatively impacted the industrial, financial, and social aspects of our daily life due to implementation lockdown protect against spread virus. In addition, deduced by promising positive impacts on air quality environmental pollution. This study aims monitor effects degradation during in Kabul city, capital Afghanistan, using geospatial data a statistical model Analyt...

The inland sabkha of the Arabian Gulf is important to study for occurrence minerals, rocks, soil salinity, and stability due high demand infrastructure agriculture development region. This describes spectral absorptions evaporite discriminates maps salt crusts, gypsiferous flats, studies temporal an Dukhan area, west coast State Qatar. was performed using satellite data Hyperion EO1, ASTER Terr...

Forest fires are among the most major causes of global ecosystem degradation. The integration spatial information from various sources using statistical analyses in GIS environment is an original tool managing spread forest fires, which one significant natural hazards western region Syria. Moreover, Syria characterized by a lack data to assess fire susceptibility as consequences current war. Th...

Abstract The present research aims to build a unique ensemble model based on high-resolution groundwater potentiality (GPM) by merging the random forest (RF) meta classifier-based stacking machine learning method with conditioning factors in Bisha watershed, Saudi Arabia. Using satellite images and other secondary sources, twenty-one parameters were derived this study. SVM, ANN, LR meta-classif...

this research was done in order to submit a model for salinity map made with tm satellite data and salinity values in a buienzahra. the necessary processings such as principal component analysis and producing of different indices was done on the main bands. the 38 soil samples using random sampling (with 10×10 km dimension) from different horizons were designed and performed on the study area. ...