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14 results for “Camargue”
Inundation maps of Camargue for 47 dates within the period 2016/02/09 to 2018/06/19 and their accompanying INSPIRE metadata XML files
<p>Satellite-derived inundation maps offer an efficient solution for monitoring the spatial and temporal variability of the hydrological cycle of wetlands. This task is important for taking mitigation actions against factors (e.g. climate change and human pressures) threatening wetlands' functions and services.</p> <p>Inundation maps within the period 2016/02/09 to 2018/06/19 were generated for Camargue based on the methodology presented in "Kordelas, G.A.; Manakos, I.; Aragonés, D.; Díaz-Delgado, R.; Bustamante, J. Fast and Automatic Data-Driven Thresholding for Inundation Mapping with Sentinel-2 Data. <em>Remote Sens.</em> <strong>2018</strong>, <em>10</em>, 910.".</p> <p>Each inundation map is named as " 'Date'_inundation_map_Camargue_S2.tif ", and contains the following classes: Inundated Class, Non-inundated Class. In this map, Inundated and Non-inundated Classes are denoted with 0 and 1, respectively. 'Date' is in the form YYYY_MM_DD.</p>
Map of 2016 agricultural crops in Camargue
<p>Agricultural landscape mapping (with focus on wheat and rice fields) based on a classification using random forest algorithm with field data and zonal statistics from Sentinel 1 and 2 as inputs.</p>
Map of 2018 agricultural crops in Camargue
<p>Agricultural landscape mapping (with focus on wheat and rice fields) based on a classification using random forest algorithm with field data and zonal statistics from Sentinel 1 and 2 as inputs.</p>
Monthly water maps of the Camargue from 2018
<p>Maps of water surface areas in the Camargue estimated by applying the Water in Wetland (WIW) logical rule to 35 Sentinel-2 scenes, from 12/24/2017 to 12/24/2018</p>
Monthly water maps of the Camargue from 2015-2017
<p>Maps of water surface areas in the Camargue estimated by applying the Water in Wetland (WIW) logical rule to 12 monthly scenes of Landsat 8 OLI from 02/10/2015 to 12/16/2017.</p>
Monthly water maps of the Camargue from 2001-2003
<p>Maps of water surface areas in the Camargue estimated by applying the Water in Wetland (WIW) logical rule to 12 monthly scenes of Landsat 7 ETM+ from 01/26/2001 to 04/06/2003.</p>
Map of 2017 agricultural crops in Camargue
<p>Agricultural landscape mapping (with focus on wheat and rice fields) based on a classification using random forest algorithm with field data and zonal statistics from Sentinel 1 and 2 as inputs.</p>
Hydroperiod map of Camargue for 2016/2017 and its accompanying INSPIRE metadata XML file
<p>The annual hydroperiod of wetlands, which is affected by global trends and human activities, is a critical ecological parameter that shapes aquatic plants’ and animals’ distribution and determines available habitat for many of the living organisms. Thus, its estimation is useful for the sustainable management of wetlands.</p> <p>The hydroperiod map of Camargue is named: "Camargue_Hydroperiod_from_1st_Sept_2016_to_31st_Aug_2017_using_Sentinel_2_inundation_maps.tif". The pixel values range from 0 to 365 (or 366 for leap years) and denote the number of days a pixel is inundated within a year. The map is generated by interpolating satellite-derived inundation maps falling within the period indicated in its filename.</p> <p>The interpolation approach is the following: For two dates separated by n days, the occurrence of water is compared. If a pixel is inundated on both dates, then it is assumed inundated for n-days. If a pixel is not inundated on both dates, then it is assumed inundated for n/2 days. In the hydroperiod map, the total number of inundation days per pixel is determined by accumulating the inundated days throughout the desired time period.</p>
Mindmap of Camargue wetlands
<p>Mindmap of the Camargue linking ecosystem services and monitoring needs for each habitat type.</p>
SARWIND LG-Mod (v4.01) output data with reference to the Sentinel-1A (2014/12/07, Camargue), EW, GRD, MR, VV-polarized, descending orbit, SNAP pre-processed data (+ the additional SKYRON reference wind)
<p>A zipped folder containing SARWIND LG-Mod (v4.01) output data obtained by processing the Sentinel-1A (2014/12/07, Camargue), EW, GRD, MR, VV-polarized, descending orbit, SNAP pre-processed data (+ the additional SKYRON reference wind).</p> <p>Pre-processed data derived from the Sentinel-1 SAR image have been obtained by using the Sentinel Application Platform (SNAP), ver. 3.0.3, distributed by the European Space Agency (ESA). The reference wind components have been provided by the Numerical Weather Model (NWM) SKYRON.</p> <p>These Earth Observation (EO) data have been used as inputs to the SARWIND LGMod algorithm, ver. 4.01, developed by Rana Fabio Michele (2014-2016) for the sea surface wind field retrieval.</p> <p>The available Sentinel-1, Extra Wide Swath Mode, Ground Range, Multi-look, Detected, Medium Resolution, Vertical polarisation on transmit, Vertical polarisation on receive, Descending orbit, C-band SAR image, has been acquired on the 7th Dec 2014, 05:51:54.</p>
Sentinel-1A (2014/12/07, Camargue), EW, GRD, MR, VV-polarized, descending orbit, SNAP pre-processed data (+ additional SKYRON reference wind) for SARWIND LG-Mod (v4.01)
<p>A zipped folder containing pre-processed data from a Sentinel-1 SAR image by using the Sentinel Application Platform (SNAP), ver. 3.0.3, distributed by the European Space Agency (ESA). The reference wind components provided by the Numerical Weather Model (NWM) SKYRON is also added in the folder.</p> <p>These Earth Observation (EO) data can be used as inputs to the SARWIND LGMod algorithm, ver. 4.01, developed by Rana Fabio Michele (2014-2016), with the aim at retrieving the sea surface wind field by exploiting the single co-polarized Sentinel-1 image available.</p> <p>In particular, the latter is the Sentinel-1, Extra Wide Swath Mode, Ground Range, Multi-look, Detected, Medium Resolution, Vertical polarisation on transmit, Vertical polarisation on receive, Descending orbit, C-band SAR image, acquired on the 7th Dec 2014, 05:51:54</p>
Sentinel-1A (2014/12/31, Camargue), EW, GRD, MR, VV-polarized, descending orbit, SNAP pre-processed data (+ additional SKYRON reference wind) for SARWIND LG-Mod (v4.01)
<p>A zipped folder containing pre-processed data from a Sentinel-1 SAR image by using the Sentinel Application Platform (SNAP), ver. 3.0.3, distributed by the European Space Agency (ESA). The reference wind components provided by the Numerical Weather Model (NWM) SKYRON is also added in the folder.</p> <p>These Earth Observation (EO) data can be used as inputs to the SARWIND LGMod algorithm, ver. 4.01, developed by Rana Fabio Michele (2014-2016), with the aim at retrieving the sea surface wind field by exploiting the single co-polarized Sentinel-1 image available.</p> <p>In particular, the latter is the Sentinel-1, Extra Wide Swath Mode, Ground Range, Multi-look, Detected, Medium Resolution, Vertical polarisation on transmit, Vertical polarisation on receive, Descending orbit, C-band SAR image, acquired on the 31st Dec 2014, 05:51:53.</p>
SARWIND LG-Mod (v4.01) output data with reference to the Sentinel-1A (2014/12/31, Camargue), EW, GRD, MR, VV-polarized, descending orbit, SNAP pre-processed data (+ the additional SKYRON reference wind)
<p>A zipped folder containing SARWIND LG-Mod (v4.01) output data obtained by processing the Sentinel-1A (2014/12/31, Camargue), EW, GRD, MR, VV-polarized, descending orbit, SNAP pre-processed data (+ the additional SKYRON reference wind).</p> <p>Pre-processed data derived from the Sentinel-1 SAR image have been obtained by using the Sentinel Application Platform (SNAP), ver. 3.0.3, distributed by the European Space Agency (ESA). The reference wind components have been provided by the Numerical Weather Model (NWM) SKYRON.</p> <p>These Earth Observation (EO) data have been used as inputs to the SARWIND LGMod algorithm, ver. 4.01, developed by Rana Fabio Michele (2014-2016) for the sea surface wind field retrieval.</p> <p>The available Sentinel-1, Extra Wide Swath Mode, Ground Range, Multi-look, Detected, Medium Resolution, Vertical polarisation on transmit, Vertical polarisation on receive, Descending orbit, C-band SAR image, has been acquired on the 31st Dec 2014, 05:51:53.</p>
Persistent lead poisoning of waterfowl in the Camargue (southern France) 10 years after the ban on the use of lead ammunition in wetlands
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