Image segmentation is a key prerequisite for object-based classification. However, it is often difficult, or even impossible, to determine a unique optimal segmentation scale due to the fact that various geo-objects, and even an identical geo-object, present at multiple scales in very high resolution (VHR) satellite images. To address this problem, this paper presents a novel unsupervised objec...

This paper presents a methodology for planimetric adjustment of elevation data to the SRTM Digital Elevation Model (SRTMDEM), by correlation. It can be applied to geo-reference any geographic dataset with an elevation component, such as rasterised maps with contours or DEMs. The accuracy around 5 meters was achieved by this geo-referencing method assessed using elevation data from Portugal deri...

Accurately characterizing carbon stock is vital for reporting emissions from forest ecosystems. We studied the estimation of biomass using Sentinel-2 remote sensing data in moist temperate forests Galies region Abbottabad Pakistan. Above-ground (AGB), estimated 60 field plots, was correlated with vegetation indices obtained image-to-map AGB regression models. Furthermore, additional explanatory...

BACKGROUND To design an effective strategy for the control of malaria requires a map of infection and disease risks to select appropriate suites of interventions. Advances in model based geo-statistics and malaria parasite prevalence data assemblies provide unique opportunities to redefine national Plasmodium falciparum risk distributions. Here we present a new map of malaria risk for Kenya in ...

In the last few years, network construction from climate data has developed to a promising analysis method. We discuss challenges for the interactive visual analysis of such geo-referenced networks and present first ideas for addressing the challenges. In particular, we present visualizations of 3D geo-spatial networks and of large networks within cartographic contexts.

Micro-blogging services can track users’ geo-locations when users check-in their places or use geo-tagging which implicitly reveals locations. This “geo tracking” can help to find topics triggered by some events in certain regions. However, discovering such topics is very challenging because of the large amount of noisy messages (e.g. daily conversations). This paper proposes a method to model ...

Recent climate change has had a major impact on biodiversity and has altered the geographical distribution of vascular plant species. This trend is visible globally; however, more local and regional scale research is needed to improve understanding of the patterns of change and to develop appropriate conservation strategies that can minimise cultural, health, and economic losses at finer scales...