Activities of excavating coal exscind natural vegetation and deposit stone on the natural land that modified the natural land contribute to waste farmlands. Additionally, pollution of environment, losses of human life, human settlements and the infrastructure are also rising, which certainly demands urgent attention. Revegetation had been considered as a kind of cost-effective means. A reasonab...

Geographically isolated wetlands, those entirely surrounded by uplands, provide numerous landscape-scale ecological functions, many of which are dependent on the degree to which they are hydrologically connected to nearby waters. There is a growing need for field-validated, landscape-scale approaches for classifying wetlands on the basis of their expected degree of hydrologic connectivity with ...

Remotely sensed imageries were used to analyze the response of desert vegetation to physiographic factors and accumulated precipitation in drier and wetter years within a region of >16,500 km(2) sampled with 5,000 random pixels of 30 m. Vegetation development was indexed by the annual maximum values for greenness (SAVI) and canopy water content (NDII). Precipitation was interpolated from the 0....

Comparison of Flow Routing Algorithms Used in Geographic Information Systems Track: Water Resources Author(s): Christine Lam, John Wilson This paper reports the results of a series of experiments to evaluate the performance of five flow routing algorithms that have been implemented inside one or more GIS. A fuzzy classification was used to delineate landscape classes (hilltops, steep slopes, fo...

Existing 2D data structures are often insufficient for analysing the dynamism of saturation excess overland flow (SEOF) within a basin. Moreover, all stream networks and soil surface structures in GIS must be preserved within appropriate projection plane fitting techniques known as georeferencing. Inclusion of 3D volumetric structure of the current soft geo-objects simulation model would offer ...

Regarding evaluating disaster risks in Iran’s West Kurdistan area, the multi-layer perceptron (MLP) neural network was upgraded with two novel techniques: backtracking search algorithm (BSA) and biogeography-based optimization (BBO). Utilizing 16 landslide conditioning elements such as elevation (aspect), plan (curve), profile (curvature), geology, NDVI (land use), slope (degree), stream power ...

The Himalayan region, a rugged mountain zone is among the most susceptible zones to landslide hazard due its terrain, geography, and active tectonics. Machine learning (ML) techniques are advanced precise methods develop susceptibility model (LSM). current study was designed analyze assess using ML approaches for District Hattian Bala, NW Himalayas, Pakistan. historical satellite imageries used...

Filingeri D, Fournet D, Hodder S, Havenith G. Tactile cues significantly modulate the perception of sweat-induced skin wetness independently of the level of physical skin wetness. J Neurophysiol 113: 3462–3473, 2015. First published April 15, 2015; doi:10.1152/jn.00141.2015.—Humans sense the wetness of a wet surface through the somatosensory integration of thermal and tactile inputs generated b...

Recently, groundwater resources are assessed and evaluated using Geographic Information System (GIS) remote sensing technologies due to their effectiveness wide spatial coverage. This work aims identify potential areas in the Tabelbala region which lies Algerian desert order help for solution of water shortages. GIS employed preparation controlling factors such as lithology, lineaments, drainag...

Losses of large volumes soil through gully formation lead to serious environmental, societal, and economic problems for human societies. This study establishes a framework based on an artificial intelligence approach investigate the impact geo-environmental topo-hydrological factors occurrences in Biram region, Iran. The maximum entropy, random forest, boosted regression trees machine-learning ...