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APPLICATION OF DEEP LEARNING OF MULTI-TEMPORAL SENTINEL-1 IMAGES FOR THE CLASSIFICATION OF COASTAL VEGETATION ZONE OF THE DANUBE DELTA
Deep Learning vegetation Danube Delta temporal series Sentinel-1
2018/5/15
Land cover is a fundamental variable for regional planning, as well as for the study and understanding of the environment. This work propose a multi-temporal approach relying on a fusion of radar mult...
REMOTE SENSING MONITORING OF ENVIRONMENTAL CHANGES IN THE DANUBE DELTA AND THE COAST AREA OF THE BLACK SEA
Satellite Remote Sensing Registration Aerial Photogrammetry Spatial-Temporal Analysis Coast Multiresolution Change Detection
2015/12/31
Danube Romanian Delta contains a wide variety of ecosystems and bird species, being an area of unique ecological and faunal significance. Environmental stress on the delta wetlands has increased marke...
NATURAL ENVIRONMENT CHANGE DETECTION IN DANUBE DELTA, BASED ON HRV - SPOT IMAGES
Environment Geomorphology Change detection Monitoring Registration
2015/7/29
The Danube Delta is an area with a unique ecological signification, which present accentuated interest from scientific, tourist and
even economically. His complex and varieties ecosystems have remai...
AEROSPACE MONITORING OF ECOSYSTEM DYNAMICS IN DANUBE DELTA
Remote Sensing Ecology Change Detection Monitoring Dynamic Multisensor
2015/7/29
Authentic barometers of environment health status, delta and coast wetlands represent research subjects for remote sensing
applications. The Danube Delta contains a wide variety of ecosystems and sp...
USING HRV SPOT DATA FOR STUDY OF ENVIRONMENTS EVOLUTION IN THE SULINA STATE FROM THE DANUBE DELTA
Data environment evolution the Danube delta
2015/2/3
USING HRV SPOT DATA FOR STUDY OF ENVIRONMENTS EVOLUTION IN THE SULINA STATE FROM THE DANUBE DELTA.