Michigan Tech Research Institute (MTRI) and the Nansen International Environmental and Remote Sensing Center (NIERSC) of St. Petersburg, Russia have developed a new algorithm for the retrieval of ...
International organizations such as FAO, OECD, and EUROSTAT have long sought harmonized methods for land use monitoring. This ...
The Great Lakes Workshop Series on Remote Sensing of Water Quality brought together international researchers on the remote sensing of inland waters and the end users who put remote sensing products ...
The researchers built a novel dataset of more than 600,000 matchups between water quality field measurements and Landsat imagery, creating a 'symphony of data.' Access to abundant, clean, water for ...
The "Optical Remote Sensing of Water" team in Berlin-Adlershof develops algorithms for the interpretation of optical remote sensing data from coastal and inland waters for monitoring and assessing ...
The rapid advancement of satellite remote sensing has opened a transformative window into the measurement of river discharge and water levels on a global scale. Integrating observations from optical ...
Remote sensing has made it easier for scientists to monitor rivers, lakes, and reservoirs. Will it help us be smarter about how we manage them? The Congo River is the world’s second-largest river ...
Russian scientists from the National University of Science and Technology MISiS, MIPT, and Prokhorov General Physics Institute (GPI) of the Russian Academy of Sciences have compared the effectiveness ...
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