TY - RPRT
T1 - ASSESSMENT OF THE AREAL DISTRIBUTION OF SUBMERGED AQUATIC VEGETATION USING REMOTE SENSING IN DANISH COASTAL WATERS
T2 - Integrated Marine Monitoring – analytical phase
AU - Stæhr, Peter A.
AU - Nielsen, Lisbeth Tangaa
AU - Azhar, Mihailo
AU - Göke, Cordula
AU - Huber, Silvia
AU - Christensen, Jesper Philip Aagaard
AU - Hansen, Lars B.
AU - Stæhr, Sanjina Upadhyay
AU - Krause-Jensen, Dorte
PY - 2024/3/1
Y1 - 2024/3/1
N2 - The use of different types of remote sensing data to acquire information on the distribution andcover of marine underwater vegetation was examined in two Danish fjord systems for the period 2017-2023. Promising results including high resolution vegetation mapping, differentiation of vegetation types as well as different algorithms for improved cover and area classification were investigated. Results from classifications and estimates of areal coverage were combined with modelling to develop novel eelgrass indicators of ecological status, which were evaluated against existing indicators. Recommendations for large-scale implementation of remote sensing as a promising tool to map and monitor marine vegetation are provided.
AB - The use of different types of remote sensing data to acquire information on the distribution andcover of marine underwater vegetation was examined in two Danish fjord systems for the period 2017-2023. Promising results including high resolution vegetation mapping, differentiation of vegetation types as well as different algorithms for improved cover and area classification were investigated. Results from classifications and estimates of areal coverage were combined with modelling to develop novel eelgrass indicators of ecological status, which were evaluated against existing indicators. Recommendations for large-scale implementation of remote sensing as a promising tool to map and monitor marine vegetation are provided.
M3 - Report
T3 - Scientific Report from DCE - Danish Centre for Environment and Energy
BT - ASSESSMENT OF THE AREAL DISTRIBUTION OF SUBMERGED AQUATIC VEGETATION USING REMOTE SENSING IN DANISH COASTAL WATERS
PB - Aarhus University, DCE - Danish Centre for Environment and Energy
ER -