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RESULTS FROM THE DATA ACQUISITION IN SOME GIG-LM RESERVOIRS BY SATELLITE REMOTE SENSING RESULTS FROM THE DATA ACQUISITION IN SOME GIG-LM RESERVOIRS BY SATELLITE REMOTE SENSING Authors: Pea-Martnez, Ramn; Domnguez-Gmez, Jos-Antonio (*) Centre for Hydrographic Studies of CEDEX (Spain) Topic/subtopic : Ecological Water Quality, Photosynthetic pigments, Remote sensing (*) External collaborator Slide 2 Slide 3 common WFD assessment method in the GIG. common WFD assessment method in the GIG. In the L-M GIG, the common method comes to be the assessment of chlorophyll concentration from a sample collected at, or immediately below, the water surface, once in summer season. as an interim common method for IC purposes until a more sufficient method is implemented, in search of a more reliable outcome. More specifically, an improved chlorophyll assessment method could be agreed among the GIG countries, increasing somewhat the annual number of samples and adopting a common sampling strategy. As an alternative approach to increased sampling, or in addition to it, satellite remote sensing imagery may provide a valuable tool in monitoring the variability of algal biomass and assessing the mean summer values of chlorophyll concentration at water surface. Slide 4 From 1999 to 2005 CEDEX developed the ESA Project AOE-594. Development of an Operational System for direct Thematic Mapping of Photosynthetic Pigments in Lakes using MERIS. Application to the Spanish reservoirs. From 1999 to 2005 CEDEX developed the ESA Project AOE-594. Development of an Operational System for direct Thematic Mapping of Photosynthetic Pigments in Lakes using MERIS. Application to the Spanish reservoirs. In the working plan was included many field activities in order to built an comprehensive data bank of many spanish reservoirs integrating radiometric information on water optics, in situ profiling of several pigment and other parameters and integrated sampling in the 1 st optical layer to analysis by HPLC method 19 pigments. After CEDEX was developed reflectivity models to assess Chlorophyll a and other pigment concentration in water bodies to applied to MERIS imagery and to any other multi or hyperspectral images of reservoirs. In that campaigns was used some device to assure the same conditions in the radiometric measurements by the field spectro-radiometer. In addition has used a probe CTD and multiflorimeter for pigments. (in the next slides) Slide 5 10-13 Above Water Measurement Device Optical fibre ASD-FR Observation Zenithal angle Controler Spectralon 25% = 40 Azimuthal angle from Sun position Controler = 135 Slide 6 10-13 ASD Spectro-radiometer on the working boat Spectro-radiometer Commuter Slide 7 TYPICAL MULTIPARAMETRICAL PROBE PROFILE Temp. 21,7 C [chl a] 6,3 g/l [FC] 21,6 g/l [FE] 0,8 g/l INTEGRATED INTEGRATED SAMPLE 10-13 Slide 8 REFLECTIVITY MODELS We found a very good linear relationship for chlorophyll a, (R 2 =0.919) using the ratio between bands 9 and 7. B9 / B7 > 1 Slide 9 CEDEX Proposal for 2005 chris/Proba activities: CEDEX Proposal for 2005 chris/Proba activities: Use of CHRIS imagery for Monit oring Ecological Water Quality in smallest Mediterranean Reservoirs integrated in the Intercalibration Exercise of WFD Implementation Process (AO 3123) Use of CHRIS imagery for Monit oring Ecological Water Quality in smallest Mediterranean Reservoirs integrated in the Intercalibration Exercise of WFD Implementation Process (AO 3123) Authors: Pea-Martnez, Ramn; Ruiz-Verd, Antonio; Domnguez-Gmez, Jos-Antonio Centre for Hydrographic Studies of CEDEX (Spain) Topic/subtopic : Ecological Water Quality, Photosynthetic pigments, Remote sensing Slide 10 Slide 11 Sensor CHRIS / Proba satellite : 17 m spatial resolution; 5 angles image set; 15 km frame; 18 spectral bands in the mode 2 water. Proba experimental satellite : 2 sensors; weigth 94 kg; ESA third party mission Slide 12 Rosarito reservoir. Central Spain, Tietar river, Tajo river basin CHRIS/Proba image Slide 13 (AO 3123 acquisition request for 2005) Slide 14 Slide 15 Slide 16 Slide 17 Slide 18 Slide 19 Final proposal ACCEPTED...... ??? Slide 20 2005 CHRIS/Proba image set acquisition Kouris 05.06.2005 0 Bezid 29.05.2005 (no in the frame) Asprokremmos 11.09.2005 Sacele 08.07.2005 * Punta Gennarta 22.07.2005 * Cucchinadorza 18.11.2005 (too late) * Finally no included in the IC process 0 No image Only 3 available image sets along the summer Then... Slide 21 ENVISAT-1 operational satellite : 10 sensors; weigth 8500 kg; ESA Earth Observation mission Sensor MERIS / ENVISAT satellite : 300 m spatial resolution; 1050 km frame; 16 spectral bands in the visible spectrum specially focused on ocean colour and environmental applications. Slide 22 Slide 23 CHRIS/Proba images acquired: Bezid 29.05.05 bad pointing Kouris05.06.05 Sacele08.07.05 Punta Gennarta22.07.05 excluded IC Asprokremmos11.09.05 Cucchinadorza18.11.05 excluded IC MERIS / ENVISAT-1 images Satellite images orders (received R) Slide 24 Slide 25 Slide 26 Slide 27 Slide 28 Slide 29 Slide 30 Asprokremmos Kouris Lefkara Slide 31 Asprokremmos CHRIS/Proba 11-09-2005 Slide 32 0 5 10 15 20 25< [Chla] (mg/m 3 ) CHRIS/Proba Asprokremmos 11-09-2005 [Chl a] (mg/m 3 ) 4,45426 Mean value: 5,0379 Slide 33 0 5 10 15 20 25< [Cla] (mg/m 3 ) 04-05-2005 Asprokremmos 17-05-2005 05-06-2005 08-06-2005 18-06-2005 24-06-2005 MERIS Slide 34 0 5 10 15 20 25< [Cla] (mg/m 3 ) Asprokremmos 07-07-2005 20-07-200511-08-2005 14-08-2005 15-09-200518-09-2005 MERIS CHRIS (11.09.05) 4,45426 Mean value: 5,0379 RS sp mean 1,490 RS mv mean 1,220 Photic l. mean 1,980 Slide 35 Kouris CHRIS/Proba 05-06-2005 Slide 36 0 5 10 15 20 25< [Cla] (mg/m 3 ) Kouris 0 5 10 15 20 25< [Chla] (mg/m 3 ) CHRIS/Proba 05-06-2005 [Chl a] (mg/m 3 ) 2,3256 Mean value: 1,8619 Slide 37 04-05-2005 cloudy 17-05-2005 0 5 10 15 20 25< [Cla] (mg/m 3 ) Kouris MERIS 05-06-2005 08-06-200518-06-200524-06-2005 Slide 38 0 5 10 15 20 25< [Cla] (mg/m 3 ) Kouris MERIS 07-07-200520-07-200511-08-2005 14-08-200515-09-200518-09-2005 CHRIS (05.06.05) 2,3256 Mean value: 1,8619 CHRIS (05.06.05) 2,3256 Mean value: 1,8619 RS sp mean 1,367 RS mv mean 1,272 Photic l. mean 1,800 Slide 39 Slide 40 0 5 10 15 20 25< [Cla] (mg/m 3 ) Lefkara MERIS 04-05-200517-05-200505-06-2005 18-06-200524-06-200508-06-2005 Slide 41 0 5 10 15 20 25< [Cla] (mg/m 3 ) Lefkara MERIS 07-07-200520-07-200511-08-2005 15-09-200514-08-200518-09-2005 RS sp mean 1,607 RS mv mean 1,677 Photic l. mean 0,383 Slide 42 Slide 43 Slide 44 MERIS TM/LANDSAT 5 Slide 45 Sacele CHRIS/Proba 08-07-2005 Slide 46 Sacele CHRIS/Proba 08-07-2005 [Chl a] (mg/m 3 ) 1,299 Mean value: 0,8227 0 5 10 15 20 25< [Chla] (mg/m 3 ) Slide 47 0 5 10 15 20 25< [Cla] (mg/m 3 ) 04-06-2005 Sacele 17-06-2005 26-06-200527-07-200531-07-2005 MERIS 22-08-2005 22-06-2005 cloudy CHRIS (08.07.05) 1,299 Mean value: 0,8227 RS sp mean 1,487 RS mv mean 0,886 Photic l. mean 0,543 Position error ? RS sp mean 1,010 RS mv mean 0,886 Photic l. mean 0,543 Excluding 2 data Slide 48 0 5 10 15 20 25< [Cla] (mg/m 3 ) 04-06-2005 Izvorul Muntelui 17-06-2005 26-06-200527-07-200531-07-2005 MERIS 22-08-2005 22-06-2005 RS sp mean 1,544 RS mv mean 0,969 Photic l. mean 1,393 Position error ? RS sp mean 0,952 RS mv mean 0,969 Photic l. mean 1,393 Excluding 3 data Slide 49 0 5 10 15 20 25< [Cla] (mg/m 3 ) 04-06-2005 Siriu 17-06-2005 26-06-200527-07-200531-07-2005 MERIS 22-08-2005 22-06-2005 RS sp mean 1,467 RS mv mean 0,969 Photic l. mean 2,027 Slide 50 0 5 10 15 20 25< [Cla] (mg/m 3 ) 04-06-2005 Colibita 17-06-2005 26-06-200527-07-200531-07-2005 MERIS 22-08-2005 22-06-2005 RS sp mean 3,548 RS mv mean 6,141 Photic l. mean 2,363 Sun glint ? RS sp mean 1,978 RS mv mean 1,147 Photic l. mean 2,363 Excluding 1 date Slide 51 No image 0 5 10 15 20 25< [Cla] (mg/m 3 ) 04-06-2005 Bezid 17-06-2005 26-06-200527-07-200531-07-2005 MERIS 22-08-2005 22-06-2005 RS sp mean 1,081 RS mv mean 1,775 Photic l. mean 0,787 Slide 52 0 5 10 15 20 25< [Cla] (mg/m 3 ) 04-06-2005 Paltinu 17-06-2005 26-06-200527-07-200531-07-2005 MERIS 22-08-2005 22-06-2005 RS sp mean 1,487 RS mv mean 0,886 Photic l. mean 0,543 Slide 53 No image 0 5 10 15 20 25< [Cla] (mg/m 3 ) 04-06-2005 Vidraru 17-06-2005 26-06-200527-07-200531-07-2005 MERIS 22-08-2005 22-06-2005 RS sp mean 0,885 RS mv mean 1,049 Photic l. mean 1,453 Slide 54 No image 0 5 10 15 20 25< [Cla] (mg/m 3 ) 04-06-2005 Bradisor 17-06-2005 26-06-200527-07-200531-07-2005 MERIS 22-08-2005 22-06-2005 RS sp mean 1,420 RS mv mean 1,502 Photic l. mean 5,353 Out of image Different trend Slide 55 Bezid (not in the image) >>>> CHRIS/Proba Slide 56 Slide 57 No defined trend Tipical fit line Slide 58 MERIS MERIS Slide 59 Punta Gennarta CHRIS/Proba 22-07-2005 Slide 60 Punta Gennarta CHRIS/Proba 08-07-2005 [Chl a] (mg/m 3 ) - Mean value: 33,48 0 5 10 15 20 25< [Chla] (mg/m 3 ) Most of water pixels invalidated by sun glint effect Slide 61 Cucchinadorza CHRIS/Proba 18-11-2005 Slide 62 Cucchinadorza CHRIS/Proba 18-11-2005 [Chl a] (mg/m 3 ) 1,0985 Mean value: 4,4891 0 5 10 15 20 25< [Chla] (mg/m 3 ) Slide 63 No image 18-06-2005 Cucchinadorza 21-06-2005 24-06-2005 01-07-2005 04-07-2005 07-07-2005 MERIS 0 5 10 15 20 25< [Cla] (mg/m 3 ) Slide 64 No image 20-07-2005 Cucchinadorza 23-07-2005 26-07-2005 08-08-2005 MERIS 0 5 10 15 20 25< [Cla] (mg/m 3 ) 14-08-2005 No sampling data RS sp mean 1,847 RS mv mean 2,202 Photic l. mean -,--- Local sun glint areas? RS sp mean 1,847 RS mv mean 1,730 Photic l. mean -,--- Excluding 1 mv data Slide 65 18-06-2005 Medio Flumendosa 21-06-2005 24-06-2005 01-07-2005 04-07-2005 07-07-2005 MERIS 0 5 10 15 20 25< [Cla] (mg/m 3 ) Slide 66 No image 20-07-2005 Medio Flumendosa 23-07-2005 26-07-2005 08-08-2005 MERIS 0 5 10 15 20 25< [Cla] (mg/m 3 ) 14-08-2005 RS sp mean 1,635 RS mv mean 2,097 Photic l. mean 2,600 Local sun glint areas? RS sp mean 1,635 RS mv mean 1,580 Photic l. mean 2,600 Excluding 1 mv data Slide 67 18-06-2005 Mulargia 21-06-2005 24-06-2005 01-07-2005 04-07-2005 07-07-2005 MERIS 0 5 10 15 20 25< [Cla] (mg/m 3 ) Slide 68 20-07-2005 Mulargia 23-07-2005 26-07-2005 08-08-2005 MERIS 14-08-2005 RS sp mean 3,593 RS mv mean 3,357 Photic l. mean 1,938 Local sun glint areas? RS sp mean 1,808 RS mv mean 1,067 Photic l. mean 1,938 Excluding 3 dates Slide 69 Slide 70 Reservoir Chlorophyll-a (mg/m3) TypeCountryname Sampling RS sp RS mv _______________________________________________#______________________ LM8CYPRUS Asprokremmos1,9791,4901,220 LM8CYPRUSKouris1,8001,3671,272 LM8 RCCYPRUSLefkara0,3811,6071,677 LM8ITALYMedio Flumendosa2,6001,6351,580 LM8ITALYMulargia1,8531,8081,067 LM7ITALYSos Canales3,395-- LM8ROMANIA Bezid1,6991,0811,775 LM7ROMANIA Bradisor 5,3531,4201,502 * LM7ROMANIA Colibita2,3651,9781,147 LM8ROMANIA Izvorul Muntelui1,3920,9520,969 LM8ROMANIA Paltinu1,7211,4870,886 LM8ROMANIA Sacele0,5421,0100,886 LM8ROMANIA Siriu2,0241,4670,969 LM7ROMANIA Vidraru1,6780,8851,049 * till 31.07.05 # [summer photic layer mean concentration] Slide 71 Very important Question in the frame of GIG LM: How is the Correlation between How is the Correlation between Chlorophyll-a concentration in the upper layer 0.5 meter, or first optical thickness (~ 0.6 * SD) and mean concentration in the whole photic layer ? Slide 72 Slide 73 Burguillo Slide 74 Slide 75 Slide 76 El Atazar Slide 77 Slide 78 Slide 79 Reservoir Chlorophyll-a (mg/m3) TypeCountryname Sampling RS sp RS mv CH sp CH mv _______________________________________________#___________________________________ LM8CYPRUS Asprokremmos1,9791,4901,220 4,454 5,038 LM8CYPRUSKouris1,8001,3671,272 2,326 1,862 LM8 RCCYPRUSLefkara0,3811,6071,677 LM8ITALYMedio Flumendosa2,6001,6351,580 LM8ITALYMulargia1,8531,8081,067 LM7ITALYSos Canales3,395-- LM8ROMANIA Bezid1,6991,0811,775 LM7ROMANIA Bradisor 5,3531,4201,502 * LM7ROMANIA Colibita2,3651,9781,147 LM8ROMANIA Izvorul Muntelui1,3920,9520,969 LM8ROMANIA Paltinu1,7211,4870,886 LM8ROMANIA Sacele0,5421,0100,886 1,299 0,823 LM8ROMANIA Siriu2,0241,4670,969 LM7ROMANIA Vidraru1,6780,8851,049 * till 31.07.05 CH : CHRIS/Proba # [summer photic layer mean concentration] Slide 80 Conclusions: -This application of remote sensing using satellite imagery to expand and complement the monitoring effort (much better than expected), developed along the last summer, showed the real possibility to assess the values and trend of the Chlorophyll-a concentration in any period, and at any water body. -The remote sensing techniques can reduce the monitoring needs in terms of number of sampling points and number of dates. -In the operational phase of WFD implementation, remote sensing can provide an useful tool to assess the Ecological Quality of entire water bodies, integrated in the water districts. This allows to check for the efficiency achieved in the programs of measures. -In order to supplement the information provided by remote sensing on inland water bodies, it may be interesting to add an integrated sample reaching to the first optical thickness (observed by the remote sensors) so as to provide a better fit of imagery and the field data. (Lisbon, 21.02.2006) Thank you very much for your attention! Slide 81 RESULTS FROM THE DATA ACQUISITION IN SOME GIG-LM RESERVOIRS BY SATELLITE REMOTE SENSING RESULTS FROM THE DATA ACQUISITION IN SOME GIG-LM RESERVOIRS BY SATELLITE REMOTE SENSING Authors: Pea-Martnez, Ramn; Domnguez-Gmez, Jos-Antonio (*) Centre for Hydrographic Studies of CEDEX (Spain) Topic/subtopic : Ecological Water Quality, Photosynthetic pigments, Remote sensing (*) External collaborator Slide 82