NATIONAL LEVEL INVENTORY OF COFFEE PLANTATIONS USING HIGH RESOLUTION SATELLITE DATA

Estimating plot-level forest structural attributes using high spectral resolution ASTER satellite data in even-aged Eucalyptus plantations in southern KwaZulu-Natal, South Africa

1 School of Environmental Sciences, University of KwaZulu-Natal, King George V Avenue, Glenwood, Durban 4041, South Africa 2 Council for Scientific and Industrial Research, Natural Resources and the Environment, Ecosystems, Earth Observation, PO Box 395, Pretoria 0001, South Africa 3 Rochester Institute of Technology Center for Imaging Science, Laboratory for Imaging Algorithms and Systems, 54 ...

Statistical downscaling of GRACE gravity satellite-derived groundwater level data

With the continued threat from climate change, population growth and followed by increasing water demand, the need for hydrological data with high spatial resolution and proper time coverage to be felt more than ago. Therefore, having data such as terrestrial water storage changes and groundwater level changes with high resolution spatial helps to plan and make decisions for water resource mana...

Multi Resolution Fuzzy Segmentation of Satellite Images

Advances in DSM generation and higher level information extraction From high resolution optical stereo satellite data

The automatic generation of digital surface models (DSM) of urban areas from high and very high resolution (VHR) stereo data from satellites is still a research issue. Image matching algorithms from computer vision have been introduced and adopted to satellite imagery in recent years. These algorithms do not work using local optimisation like area based matching but try to optimize a global cos...

Automated Extraction of Plantations from Ikonos Satellite Imagery Using a Level Set Based Segmentation Method

In this article we present a method that extracts plantations from satellite imagery by finding and exploiting appropriate feature space projections. Segmentation is done using an automatic two-region segmentation based on the level set method. The behaviour of this algorithm is defined by a statistical region model that describes the similarity of regions using distances in arbitrary feature s...