Oil spills detection and identification with Synthetic Aperture Radar (SAR)
How to detect and monitor oil spills from space?
In the last decades oil spill pollution is a matter of great concern since it affects the environment, economy, life cycle, the human food chain and as a result constitutes a crucial environmental and socio-economic problem. Oil spills can seriously damage beaches, marshlands and fragile marine ecosystems. This happens because oil-petroleum hydrocarbons contain many toxic compounds that cause huge damages in vegetation but in greater level to the Sea life
Remote sensing technologies and soil moisture retrieval
What kind of Earth Observation technologies are used to retrieve soil moisture?
Soil moisture is one of the most difficult soil properties to measure because of its large spatial and temporal variability.
How to detect and map forest fires using Earth Observation images?
Exploiting MODIS and Landsat satellite images
Forest fires are one of the main causes of destruction of natural resources and this is observed on a global scale. Many countries worldwide are affected by this calamity, which is induced by nature and human activities. Using satellite data it is revealed that in last decade nearly 350 million hectares of land was affected by vegetation fires worldwide...
An automatic relative radiometric normalization methodology for multispectral and hyperspectral images
How to automatically correct the radiometry of optical Earth Observation images?
Multi-temporal airborne and satellite multispectral/hyperspectral images are often used for monitoring the environment and detecting land cover changes. The different atmospheric and illumination conditions, sensor performance and viewing angles result into differences in the reflectance values of the same objects in multi-temporal images...
A SEMANTIC AWARE METHOD FOR RETRIEVING REMOTE SENSING IMAGES
How to find satellite images with a semantic concept?
Content-based remote sensing image retrieval techniques have been introduced for bridging the gap between low-level semantics of images and high-level semantics of user queries...