Landslides are a dangerous natural hazard that can critically harm road infrastructure in mountainous places, resulting significant damage and fatalities. The primary purpose of this study was to assess the efficacy three machine learning algorithms (MLAs) for landslide susceptibility mapping including random forest (RF), decision tree (DT), support vector (SVM). We selected case region is freq...

North Bandung area covering structural landforms and volcanoes has an active volcano fault, leading to potential of landslide. This study aims create a new scheme LULC zones based on landslide prone area. The zone is analyzed through Fuzzy the following variables: rainfall, drainage distance, density, slope angle, aspect, distance lineament, elevation, curvature, topographic wetness index (TWI)...

A landslide disaster, especially a highway landslide, may greatly impact the transport capacity of nearby roads. Keeping highways open, in particular, is crucial for supporting functioning economy, society and people. Therefore, evaluating susceptibility particularly important. In this paper, city Laibin, Guangxi Zhuang Autonomous Region China, was taken as study zone. According to data on 641 ...

Fires have increased in northeastern Iran as its semi-arid climate landscape is desiccated by human activities. To combat fire outbreaks any region, susceptibility must be mapped using accurate and efficient models. This research the forests rangelands of Golestan Province new data-mining Fire effective factors, including elevation, slope angle, annual mean rainfall, temperature, wind effect, t...

Understanding the soil moisture behavior in relation to land use tropical Andean mountain catchments is essential for comprehending water fluxes, ecohydrological relations and hydrological dynamics this understudied ecosystem. Soils are a key factor of these ecosystems, especially reference level regulation anthropogenic activities that can alter interactions, generate physical, chemical biolog...

Timber harvesting operations using heavy forest machinery frequently results in severe soil compaction and displacement, threatening sustainable management. An accurate prediction of trafficability, considering actual operating conditions, minimizes these impacts can be facilitated by various predictive tools. Within this study, we validated the accuracy four terramechanical parameters, includi...

Climate change poses a major threat to vegetation and land cover worldwide. The loss of as result climate can alter the functions structure environment its ecological systems. In first part this study, Sentinel-2 data, normalised different index (NDVI), multiple regression methods were used examine impacts climatic factors humidity, rainfall, air temperature on dynamics from 2015 2021 in Dhofar...

Floods are one of the frequent natural hazards occurring in Kerala because remarkably high annual rate rainfall. The objective this study is to prepare flood susceptibility maps Ernakulam district by integrating remote sensing data, GIS, analytical hierarchy process (AHP), and fuzzy-analytical methods. Kerala's most flood-prone districts. development map can help raise awareness about risks flo...

The ability to perceive thermal changes in the surrounding environment is critical for survival. However, sensing temperature is not the only factor among the cutaneous sensations to contribute to thermoregulatory responses in humans. Sensing skin wetness (i.e. hygrosensation) is also critical both for behavioral and autonomic adaptations. Although much has been done to define the biophysical r...

BACKGROUND/PURPOSE In the absence of humidity receptors in human skin, the perception of skin wetness is considered a somatosensory experience resulting from the integration of temperature (particularly cold) and mechanical inputs. However, limited data are available on the role of the temperature sense. METHODS Wet and dry stimuli at 4°C and 8°C above local skin temperature were applied on t...