Understanding the impact of postdam climate feedbacks, resulting from land use/land cover (LULC) variability, on modification of extreme precipitation (EP) remains a challenge for a twenty-first-century approach to dam design and operation. In this study, the Regional Atmospheric Modeling System (RAMS, version 6.0) was used, involving a number of predefined LULC scenarios to address the importa...

Numerous applications make use of data on land use and land cover (LULC). Given their importance and use, land cover data is assumed to be readily available or trivially acquired for a given landscape. Unfortunately, this is often not the case. LULC data at hand are often out-of-date, inappropriate for a particular application [1], or contain other difficulties. Thematic mapping of remotely sen...

The quality of remotely sensed land use and land cover (LULC) maps is affected by the accuracy of image data classifications. Various efforts have been made in advancing supervised or unsupervised classification methods to increase the repeatability and accuracy of LULC mapping. This study incorporates a data-assisted labeling approach (DALA) into the unsupervised classification of remotely sen...

Rainfall runoff modeling is one of the most complex hydrological due to involvement different watershed physical parameters. It essential for analysis response towards received precipitation under influence variables. As it a replica response, Rainfall-Runoff evaluate general characteristics total surface at catchment’s outlet. The main objective this study was prediction rainfall using Hydrolo...

Detailed and precise information of land-use and land-cover (LULC) in rural area is essential for land-use planning, environment and energy management. The confusion in mapping residential and industrial areas brings problems in energy management, environmental management and sustainable land use development. However, they remain ambiguous in the former rural LULC mapping, and this insufficient...

Using remote sensing data to detect changes in land use and cover (LULC) is a valuable source of information for various decision support systems. Land identification was used analyse conservation, sustainable development, water resource management. This research aims determine how the Bhavani basin have changed over period time. were detected using Landsat Thematic Mapper (TM) 30 m resolution ...

This study examines the use of image processing and remote sensing in landuse changes mapping for Palladam Taluk between 1972(Topographic sheets) and 2011(satellite images). The layers of landuse map (1972) were digitized by heads-up digitization method in Quantum GIS (QGIS) software environment. Similarly the layers of landuse map (2011) were developed by supervised classification of satellite...

urban expansion and agriculture intensification are relevant drivers in land degradation (ld)processes in europe due to net loss of land, soil sealing, landscape fragmentation and other negative effects on the environment. this paper explores changes (or “trajectories” of change) in land use and cover (lulc) and their relationship with the consumption of soils in emilia-romagna (northern italy)...

Abstract This study explores the capability of Google Earth Engine in determining land use and cover changes around Tasik Chini Malaysia which is one tourism areas severely affected by landscape changes. Two Landsat satellite composite data spanning ten years difference Machine Learning Approach algorithm namely Random Forest (RF) Support Vector machine (SVM) are used to create landuse (LULCC) ...

Banjarbarucity – located in South Kalimantan province, Indonesia – has high temperatures average and rain intensity. Those cause various disasters and adverse impacts on human life. Moreover, high urbanization and infrastructure development contribute landcover change and the increase of non-vegetation landcover. Air pollution from transportation needs to be reduced by developing urban forest i...