The knowledge of the hydrological regime contributes to the prediction of periods of higher or lower water supply as a function of the frequency and volume of rainfall in relation to the pedological, land cover, and l...
Brazil has a predominantly renewable energy matrix, with large participation of water resource in domestic supply of energy. Data from 2019 National Energy Balance show that renewable sources (water, biomass, wind and...
Cloud computing has been considered as the next-generation computing platform with the potential to address the data and computing challenges in geosciences.However,only a limited number of geoscientists have been ada...
This study presents a spatial analysis of priority areas for biodiversity conservation (PABCs) in Brazil and their coverage by federal protected areas as an indicator of the level of protection afforded to biodiversit...
This study was funded by University of South Carolina through the ASPIRE(Advanced Support for Innovative Research Excellence)program[13540-16-41796];Additional funding was provided by the South Carolina Department of Transportation under contract to the University of South Carolina[SPR#707 or USC 13540FB11];USGS[G15AC00085];NSF-BCS[1455349].
Light detection and ranging(LiDAR)data are essential for scientific discoveries such as Earth and ecological sciences,environmental applications,and responding to natural disasters.While collecting LiDAR data over lar...
Real-time geospatial information is used in various applications such as risk management or alerting services.Especially,the rise of new sensing technologies also increases the demand for processing the data in real t...
This work has been funded by the German Federal Ministry of Research and Education under Grant 03G0854[A-D]。
Novel sensor technologies are rapidly emerging.They enable a monitoring and modelling of our environment in a level of detail that was not possible a few years ago.However,while the raw data produced by these sensors ...
This work was supported by Bundesministerium für Bildung und Forschung[grant number 033W039A];EU[grant number 308513];European Social Fund[grant number 100270097].
With regard to a multi-dimensional and multi-facetted implementation of the vision of a Digital Earth,capabilities to combine and analyze heterogeneous spatial data sources on the web are becoming increasingly importa...