This study adopted a differential land-use/landcover (LULC) analysis to evaluate dam-triggered land– atmosphere interactions for a number of LULC scenarios. Two specific questions were addressed: (1) can damtriggered LULC heterogeneities modify surface and energy budget, which, in turn, change regional convergence and precipitation patterns? (2) How extensive is the modification in surface mois...

Grabbing of pastoralists’ traditional land to put it under the commercial farming system, which has widely been adopted as a development and investment strategy in Sudan, is creating a cruel dilemma of increasing both resource conflict and environmental degradation. This is one of the fundamental reasons that the country has earned the reputation as a home of bloody c...

The relationship between landuse/landcover (LULC) changes and land degradation in two Mediterranean sites is investigated using remotely sensed and ancillary data. The areas of study, the Xaló river catchment in the north of the Alicante province in southeast Spain and the Aegean island of Lesbos, Greece, have both been subjected to changes in LULC, such as abandonment, overgrazing, forest fire...

The regulatory functions of soil are getting attention among the scientists and Soil Organic Carbon (SOC) is an important indicator of soil health. The impact of differential use of land on SOC and other edaphic properties were analysed in three important Land use land cover (LULC) system of Tripura, northeast India. Soil cores were divided into four depth profiles (0 10, 10 30, 30 50 and 50 10...

GIS methodologies in combination with Remote Sensing data and techniques are fundamental to analyse and characterise Land Use/Land Cover (LULC) and their evolutionary dynamics. The case study here described, has been conducted in two study-areas: the Serre Regional natural Park and the socalled Conca of Avellino (Southern Italy). This study is part of a wider research allowed to understand how ...

Land use and land cover (LULC) maps are remote sensing products that are used to classify areas into different landscapes. Data fusion for remote sensing is becoming an important tool to improve classical approaches. In addition, soft computing techniques such as machine learning or evolutive computation are often applied to improve the final LULC classification. In this paper, a method based o...

Cities are experiencing rapid population growth and consequently extensive urbanization. Land-use/land-cover change is one of the important elements worldwide, which significantly affect the environment. This study aims to describe the emergence of urban heat and cool islands as a result of changes in land-use/land-cover. Land surface temperature over a 32-year period in Isfahan city, Iran was ...

Decision tree classification is one of the most efficient methods for obtaining land use/land cover (LULC) information from remotely sensed imageries. However, traditional decision tree classification methods cannot effectively eliminate the influence of mixed pixels. This study aimed to integrate pixel unmixing and decision tree to improve LULC classification by removing mixed pixel influence....

Hyperspectral images and light detection and ranging (LiDAR) data have, respectively, the high spectral resolution and accurate elevation information required for urban land-use/land-cover (LULC) classification. To combine the respective advantages of hyperspectral and LiDAR data, this paper proposes an optimal decision fusion method based on adaptive differential evolution, namely ODF-ADE, for...