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Displaying 271 - 275 of 662Use of fraction imagery, segmentation and masking techniques to classify land-use and land-cover types in the Brazilian Amazon
This work presents a procedure for classifying land-use and land-cover (LULC) types in the Brazilian Amazon. Fraction imagery representing proportions of green vegetation, soil, and shade was estimated using all six reflective bands of the Landsat-5 Thematic Mapper (TM1 to TM5 and TM7) through the linear spectral mixing model (LSMM).
Habitat suitability modelling for Gaur (Bos gaurus) using multiple logistic regression, remote sensing and GIS
The aim of this study is to produce georeferenced ecological information about the suitable habitats available for gaur Bos gaurus in Chandoli tiger reserve, India (17° 04′ 00″ N to 17° 19′ 54″ N and 73° 40′ 43″ E to 73° 53′ 09″ E). Habitat suitability index (H.S.I.) was developed using multiple logistic regression (MLR) integrated with remote sensing (RS) and geographic information system (GIS).
Long-term perceptions of project-affected persons: a case study of the Kotmale Dam in Sri Lanka
Many of the negative consequences of dam-related involuntary displacement of affected communities can be overcome by careful planning and by providing resettlers with adequate compensation. In this paper the resettlement scheme of the Kotmale Dam in Sri Lanka is revisited, focusing on resettlers' positive perceptions. Displaced communities expressed satisfaction when income levels and stability were higher in addition to their having access to land ownership titles, good irrigation infrastructure, water, and more opportunities for their children.
Vegetation change in Brazil’s dryland ecoregions and the relationship to crop production and environmental factors: Cerrado, Caatinga, and Mato Grosso, 2001–2009
South America’s drylands remain some of the most threatened ecosystems on the planet. Yet, we know very little about the dynamics of land-use and land-cover change (LUCC) in these understudied regions. Our objective is to map vegetation change in Brazil’s three largest dryland ecoregions – the Cerrado, Caatinga, and Mato Grosso seasonal forests – using MODIS (Moderate Resolution Imaging Spectroradiometer) data from 2001 to 2009 at the scale of the municipality.
Land use and land cover change in the Colombian Andes: dynamics and future scenarios
Land use and land cover changes (LUCC) are recognized as one of the most relevant drivers of biodiversity loss in ecosystems. Through the analysis of satellite images, this article quantifies the LUCC that occurred between 1985 and 2008 in the Colombian Andes. Four submodels of changes were analyzed: deforestation, crop intensification, conversion to pastures, and abandonment.