- Docklight 1.9 project settings freez archive#
- Docklight 1.9 project settings freez skin#
- Docklight 1.9 project settings freez series#
Docklight 1.9 project settings freez skin#
We assessed the quality of the satellite temperature measurements by comparing them to in situ measurements and taking into account the cool skin and warm layer effects.
Docklight 1.9 project settings freez archive#
We used Landsat 5 and Landsat 7 archive images to create the Lake Skin Surface Temperature ( LakeSST) data set, which contains skin water surface temperature data for 442 French water bodies (natural lakes, reservoirs, ponds, gravel pit lakes and quarry lakes) for the period 1999-2016. The spatial and temporal coverage of the Landsat satellite imagery make it an ideal resource for the monitoring of water temperature over large territories at a moderate spatial and temporal scale at a low cost. Prats, Jordi Reynaud, Nathalie Rebière, Delphine Peroux, Tiphaine Tormos, Thierry Danis, Pierre-Alain LakeSST: Lake Skin Surface Temperature in French inland water bodies for 1999-2016 from Landsat archives Future versions of the LC CCI dataset are planned to represent temporal variation, and this will permit these derived datasets to be updated. Temporal change in water-body extent is common. Some examples of the inaccuracies/limitations are presented and discussed. During the generation and validation of the datasets some limitations of the GLWD database and of the LC CCI water-bodies mask have been found. Information on distance-to-land for each water cell and the distance-to- water for each land cell has many potential applications in remote sensing, where the applicability of geophysical retrieval algorithms may be affected by the presence of water or land within a satellite field of view (image pixel). The new datasets therefore link recent lake/reservoir/wetlands extent to the GLWD, together with a set of coordinates which locates unambiguously the water bodies in the database.
The water-body identifier dataset locates the water bodies assigning the identifiers of the Global Lakes and Wetlands Database (GLWD), and lake centres are defined for in-land waters for which GLWD IDs were determined.
The new derived datasets provide coherently: distance to land, distance to water, water-body identifiers and lake-centre locations.
Docklight 1.9 project settings freez series#
The LC CCI water-bodies dataset has been obtained from multi-temporal metrics based on time series of the backscattered intensity recorded by ASAR on Envisat between 20. Datasets related to in-land water for limnology and remote sensing applications: distance-to-land, distance-to- water, water-body identifier and lake-centre co-ordinates.Ĭarrea, Laura Embury, Owen Merchant, Christopher Jĭatasets containing information to locate and identify water bodies have been generated from data locating static- water-bodies with resolution of about 300 m (1/360 ∘ ) recently released by the Land Cover Climate Change Initiative (LC CCI) of the European Space Agency.