As we have entered an era of high resolution earth observation, the RS data are undergoing
an explosive growth. The proliferation of data also give rise to the increasing complexity of …

Massive, large-region coverage, multi-temporal, multi-spectral remote sensing (RS) datasets
are employed widely due to the increasing requirements for accurate and up-to-date …

With the recent advances in Remote Sensing (RS) techniques, continuous Earth
Observation is generating tremendous volume of RS data. The proliferation of RS data is …

This book provides the users with quick and easy data acquisition, processing, storage and
product generation services. It describes the entire life cycle of remote sensing data and …

Natural disaster response and assessment are key elements of natural hazard monitoring
and risk management. Currently, the existing systems are not able to meet the specific …

This paper proposed a geoscience model service integrated workflow-based rainstorm
waterlogging analysis method to overcome the defects of conventional waterlogging …

Satellite remote sensing has become a popular tool to analyze agricultural drought through
terrestrial vegetation health conditions using the normalized difference vegetation index …

Abstract An Agent-as-a-Service (AaaS)-based geospatial service aggregation is proposed to
build a more efficient, robust and intelligent geospatial service system in the Cloud for flood …

Aims: Global change studies need to manipulate large volume of observation and prediction
data, most likely from multiple sources. From the researchers' perspective, the whole …

Remote-sensing (RS)-based agricultural drought indicators, such as the normalized
difference vegetation index (NDVI), normalized difference water index (NDWI), enhanced …