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Browsing by Subject "RapidEye"

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Dry season biomass estimation as an indicator of rangeland quantity using multi-scale remote sensing data

Author: Ramoelo, Abel ; Cho, Moses A Date: Oct 2014 For grazing, biomass is the main indicator of rangeland quantity, which is crucial to determine the amount of food available for animals (grazers), including livestock. Livestock production in the rural communities of the world, including ... Read more
Extraction of coastal ocean wave characteristics using remote sensing and computer vision technologies

Author: Johnson, M ; Lück-Vogel, Melanie Date: May 2017 The coastal zone occurs at the interface of three major natural systems. These systems include the atmosphere, the ocean and the land surface. Ocean waves are among the most important forces shaping the world¿s coastlines. They drive environmental ... Read more
The potential of Sentinel-2 spectral configuration to assess rangeland quality

Author: Ramoelo, Abel ; Cho, Moses A ; Mathieu, Renaud SA ; Skidmore, AK Date: Aug 2015 Sentinel-2 is intended to improve vegetation assessment at local to global scales. Today, estimation of leaf nitrogen (N) as an indicator of rangeland quality is possible using hyperspectral systems. However, few studies based on commercial ... Read more
Regional estimation of savanna grass nitrogen using the red-edge band of the RapidEye sensor

Author: Ramoelo, Abel ; Skidmore, AK ; Cho, Moses A ; Schlerf, M ; Mathieu, Renaud SA ; Heitkönig, IMA Date: Oct 2012 The regional mapping of grass nutrients is of interest in the sustainable planning and management of livestock and wildlife grazing. The objective of this study was to estimate and map foliar and canopy nitrogen (N) at a regional scale using ... Read more
Vegetation mapping in the St Lucia estuary using very high-resolution multispectral imagery and LiDAR

Author: Lück-Vogel, Melanie ; Rautenbach, K ; Adams, J ; Van Niekerk, Lara ; Mbolambi, Cikizwa Date: May 2016 This paper examines the value of very high-resolution multispectral satellite imagery and LiDAR-derived digital elevation information for classifying estuarine vegetation types. Satellite images used are from the WorldView-2, RapidEye, and ... Read more

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Browsing by Subject "RapidEye"

Browsing by Subject "RapidEye"

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