2005
DOI: 10.1080/10106040508542353
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Rangeland Resources Assessment with Satellite Imagery: An Operational Tool for National Planning in Namibia

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Cited by 6 publications
(4 citation statements)
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“…These species are sedentary and constrained in their movements by the location of water sources (Estes, ; Redfern et al ., ). We used the satellite‐derived normalized difference vegetation index (NDVI) as a proxy of vegetation productivity in the drawn circles (‘productivity’ effect) (Ganzin et al ., ). We used 10‐day NDVI images (resolution 1.2 × 1.2 km) derived from 1986 to 2008 from Advanced Very High Resolution Radiometer/National Oceanographic and Atmospheric Agency satellites.…”
Section: Methodsmentioning
confidence: 97%
“…These species are sedentary and constrained in their movements by the location of water sources (Estes, ; Redfern et al ., ). We used the satellite‐derived normalized difference vegetation index (NDVI) as a proxy of vegetation productivity in the drawn circles (‘productivity’ effect) (Ganzin et al ., ). We used 10‐day NDVI images (resolution 1.2 × 1.2 km) derived from 1986 to 2008 from Advanced Very High Resolution Radiometer/National Oceanographic and Atmospheric Agency satellites.…”
Section: Methodsmentioning
confidence: 97%
“…Some of these questions are at the heart of the debate regarding success criteria of land reform. These critical agricultural issues include for instance the evaluation of farm value [44] as the basis to assess equity (Figure 1) and the updating of the conventional concept of Zimbabwe's agro-ecological zones [45] as an improved mechanism to answer questions of economic viability (Figure 1).…”
Section: The Potential Of Remote Sensing To Contribute To the Researcmentioning
confidence: 99%
“…The lack of information hampers the development of climate change adaptation strategies, informed forest management and land use planning decisions. The use of passive remote sensing offers only limited options because the spectral signal from the open forests is influenced by fire scars, shrub and grass cover, which all have a high intra-and inter-annual variability (FAO 2001;Ganzin et al 2005;De Cauwer 2015).…”
Section: Introductionmentioning
confidence: 99%