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Displaying 266 - 270 of 661Exploring options in reforming South African land ownership: Opportunities for sharing land, labour and expertise
In many developing countries, land ownership remains a subject of contention. In South Africa, notwithstanding the strides that have been made to foster equitable land ownership, land reform policies have been unsuccessful in delivering land to the poor majority. Due to the nature of agriculture as a source of food production and national security, and the lack of farming skills and related competencies’ equilibrium, programmes intended to deliver land to black people have been inadequate in their reach.
Use 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).
Assessing the spatio-temporal rates and patterns of land-use and land-cover changes in the Cerrados of southeastern Mato Grosso, Brazil
The Cerrados of central Brazil have undergone profound landscape transformation in recent decades due to agricultural expansion, and this remains poorly assessed. The present research investigates the spatial-temporal rates and patterns of land-use and land-cover (LULC) changes in one of the main areas of agricultural production in Mato Grosso State (Brazil), the region of Primavera do Leste. To quantify the different aspects of LULC changes (e.g.
Identifying potential areas of Cannabis sativa plantations using object-based image analysis of SPOT-5 satellite data
The rapid and efficient detection of illicit drug cultivation, such as that of Cannabis sativa, is important in reducing consumption. The objective of this study was to identify potential sites of illicit C. sativa plantations located in the semi-arid, southern part of Pernambuco State, Brazil. The study was conducted using an object-based image analysis (OBIA) of Système Pour l'Observation de la Terre high-resolution geometric (SPOT-5 HRG) images (overpass: 31 May, 2007).