The objective of the study is to evaluate optimum band ratio combinations data set derived from monthly Landsat 8 imageries for forest type classification around Sirikit dam reservoir using supervised with Maximum Likelihood Classifier (MLC). In this study, acquired January 2014 November 2017 were used create Normalized Difference Vegetation Indices (NDVI), Moisture (NDMI), and Burn Ratios (NBR...

Discrimination of mangrove stage changes is useful for the conservation this valuable natural resource. However, present-day optical satellite imagery not fully reliable due to its high sensitivity weather conditions and tidal variables. Here, we used Vertical Transmit—Vertical Receive Polarization (VV) Transmit—Horizontal (VH) backscatter from same multiple-incidence angles Sentinel-1 SAR C-ba...

Differentiation of grassland/forage types and accurate estimates their location extent are important for understanding ecological processes applying appropriate management practices. We aiming to reveal the different spectral characteristics six land covers in three ecoregions located Canadian Prairies, based on field data satellite images. Three indices representing productivity (Normalized Di...

Changes in the landscape become extremely destructive and many heritage values resources are irreversibly lost. The speed, frequency magnitude of these changes increased second half 20th century, especially with impact human activities. Remote sensing is most widely used method for determining change landscape. In research, MNDWI, NDVI NDMI techniques, which frequently applied remote sensing, w...

Dengue is a public health problem in more than 100 countries around the world and virtually entire region of Americas, including Mexico. Mosquitoes genus Aedes aegypti transmit dengue; its reproduction requires certain geographical, epidemiological, demographic socioeconomic conditions. Detailed information on socioeconomic, epidemiological entomological data available, but detailed meteorologi...

Wildfires are a natural phenomenon, which nowadays, due to the synergistic effect of increased human intervention and escalation climate change, displaying an ever-increasing intensity frequency. The underlying mechanisms present complexity, with phenomenon itself being characterized by significant degree stochasticity. For above reasons, machine learning models neural networks implemented. In ...

Information on the distribution, area and extent of swidden agriculture landscape is necessary for implementing the program of Reducing Emissions from Deforestation and Forest Degradation (REDD), biodiversity conservation and local livelihood improvement. To our knowledge, explicit spatial maps and accurate area data on swidden agriculture remain surprisingly lacking. However, this traditional ...

LST has been fluctuating more quickly, resulting in the degradation of climate and human life on a local–global scale. The main aim this study is to examine SUHI formation hotspot identification over Prayagraj city India using seasonal Landsat imageries 1987–2018. interrelationship between six land indices (NDBI, EBBI, NDMI, NDVI, NDWI, SAVI) (using mono-window algorithm) was investigated by an...