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The Laboratory of Geomatics for Environment and Conservation of Cultural Heritage (GECO – University of Florence) has been involved since 2011 in a process of technological transfer in collaboration w...
There is an increasing amount of open Earth observation (EO) data available, offering solutions to map, assess and monitor natural resources and to obtain answers to global and local societal challeng...
Facing the monitoring needs of emergency responses to major disasters, combining the disaster information acquired at the first time after the disaster and the dynamic simulation result of the disaste...
The present paper has considered two algorithms of the relative radiometric correction of information obtained from a multimatrix imagery instrument of the spacecraft “Resource-P” and frame imagery sy...
The present paper provides information about imagery and navigation systems of the Russian high resolution satellites "Resource- P". Models of image geolocation used for photogrammetric processing of ...
The Philippines has embarked on a detailed nationwide natural resource inventory using LiDAR through the Phil-LiDAR 2 Program. This 3-year program has developed and has been implementing mapping metho...
Education and public outreach (EPO) activities related to remote sensing, space, planetary and geo-physics sciences have been developed widely in the Earth and Planetary Image Facility (EPIF) at Ben-G...
As part of the national space promotion plan and presidential national agendas South Korea’s institutes and agencies under the auspices of the Ministry of Science, Information and Communication Techno...
The survivability analysis of system of environment resource management under complex networking environment is very important for effective management of environment resource. This analysis relates u...
The Satellite Constellation for Environment and Disaster Monitoring and Forecasting is a new generation of in-building remote sensing constellation. Just as the name, the new constellation was especia...
In Norway the land area consists of approximately 44 percent mountain and 38 percent forest. Land resource and land use inventories of Norway's extensive rangeland and wilderness areas are important f...
This study applies remote sensing technology combined with Markov Process to monitor and forecast the dynamic change of forest resource in Chinese Loess Plateau. At first, according to the dynamic cha...
Knowledge-based predictive mapping is a kind of mapping approach which links the existing geo-spatial data and knowledge to predict the status of unknown geographical phenomena. The knowledge reflects...
Following the advancement of spatial acquisition technologies, more and more spatial data/information has been collected by the integrated ground-air spatial information collection system. Spatial inf...
The Public Service Company of New Mexico is pursuing biomass electrical generation as its next viable source of renewable energy. Several areas of New Mexico have been the focus of an ongoing study ...

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