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RSS FeedsRemote Sensing, Vol. 11, Pages 1506: Capturing Coastal Dune Natural Vegetation Types Using a Phenology-Based Mapping Approach: The Potential of Sentinel-2 (Remote Sensing)

 
 

26 june 2019 06:03:10

 
Remote Sensing, Vol. 11, Pages 1506: Capturing Coastal Dune Natural Vegetation Types Using a Phenology-Based Mapping Approach: The Potential of Sentinel-2 (Remote Sensing)
 


Coastal areas harbor the most threatened ecosystems on Earth, and cost-effective ways to monitor and protect them are urgently needed, but they represent a challenge for habitat mapping and multi-temporal observations. The availability of open access, remotely sensed data with increasing spatial and spectral resolution is promising in this context. Thus, in a sector of the Mediterranean coast (Lazio region, Italy), we tested the strength of a phenology-based vegetation mapping approach and statistically compared results with previous studies, making use of open source products across all the processing chain. We identified five accurate land cover classes in three hierarchical levels, with good values of agreement with previous studies for the first and the second hierarchical level. The implemented procedure resulted as being effective for mapping a highly fragmented coastal dune system. This is encouraging to take advantage of the earth observation through remote sensing technology in an open source perspective, even at the fine scale of highly fragmented sand dunes landscapes.


 
64 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 11, Pages 1507: Measurement of Road Surface Deformation Using Images Captured from UAVs (Remote Sensing)
Remote Sensing, Vol. 11, Pages 1505: High-Resolution Vegetation Mapping Using eXtreme Gradient Boosting Based on Extensive Features (Remote Sensing)
 
 
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