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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.

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Presentation on theme: "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."— Presentation transcript:

1 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: Peña-Martínez, Ramón; Domínguez-Gómez, José-Antonio (*) Centre for Hydrographic Studies of CEDEX (Spain) Topic/subtopic : Ecological Water Quality, Photosynthetic pigments, Remote sensing (*) External collaborator

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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.

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)

5 10-13 Above Water Measurement Device Optical fibre ASD-FR Observation Zenithal angle Controler Spectralon 25%  = 40º Azimuthal angle from Sun position Controler ф = 135º

6 10-13 ASD Spectro-radiometer on the working boat Spectro-radiometer Commuter

7 TYPICAL MULTIPARAMETRICAL PROBE PROFILE Temp. 21,7 ºC [chl a] 6,3 g/l [FC] 21,6 g/l [FE] 0,8 g/l INTEGRATED INTEGRATED SAMPLE 10-13

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

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: Peña-Martínez, Ramón; Ruiz-Verdú, Antonio; Domínguez-Gómez, José-Antonio Centre for Hydrographic Studies of CEDEX (Spain) Topic/subtopic : Ecological Water Quality, Photosynthetic pigments, Remote sensing

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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

12 Rosarito reservoir. Central Spain, Tietar river, Tajo river basin CHRIS/Proba image

13 (AO 3123 acquisition request for 2005)

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19 Final proposal ACCEPTED ???

20 2005 CHRIS/Proba image set acquisition Kouris Bezid (no in the frame) Asprokremmos Sacele * Punta Gennarta * Cucchinadorza (too late) * Finally no included in the IC process 0 No image Only 3 available image sets along the summer Then...

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.

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23 CHRIS/Proba images acquired: Bezid bad pointing Kouris Sacele Punta Gennarta excluded IC Asprokremmos Cucchinadorza excluded IC MERIS / ENVISAT-1 images Satellite images orders (received R)

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30 Asprokremmos Kouris Lefkara

31 Asprokremmos CHRIS/Proba

32 < [Chla] (mg/m 3 ) CHRIS/Proba Asprokremmos [Chl a] (mg/m 3 ) ○ 4,45426 Mean value: 5,0379

33 < [Cla] (mg/m 3 ) Asprokremmos MERIS

34 < [Cla] (mg/m 3 ) Asprokremmos MERIS CHRIS ( ) ○ 4,45426 Mean value: 5,0379 RS sp mean 1,490 RS mv mean 1,220 Photic l. mean 1,980

35 Kouris CHRIS/Proba

36 < [Cla] (mg/m 3 ) Kouris < [Chla] (mg/m 3 ) CHRIS/Proba [Chl a] (mg/m 3 ) ○ 2,3256 Mean value: 1,8619

37 cloudy < [Cla] (mg/m 3 ) Kouris MERIS

38 < [Cla] (mg/m 3 ) Kouris MERIS CHRIS ( ) ○ 2,3256 Mean value: 1,8619 CHRIS ( ) ○ 2,3256 Mean value: 1,8619 RS sp mean 1,367 RS mv mean 1,272 Photic l. mean 1,800

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40 < [Cla] (mg/m 3 ) Lefkara MERIS

41 < [Cla] (mg/m 3 ) Lefkara MERIS RS sp mean 1,607 RS mv mean 1,677 Photic l. mean 0,383

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44 MERIS TM/LANDSAT 5

45 Sacele CHRIS/Proba

46 Sacele CHRIS/Proba [Chl a] (mg/m 3 ) ○ 1,299 Mean value: 0, < [Chla] (mg/m 3 )

47 < [Cla] (mg/m 3 ) Sacele MERIS cloudy CHRIS ( ) ○ 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

48 < [Cla] (mg/m 3 ) Izvorul Muntelui MERIS 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

49 < [Cla] (mg/m 3 ) Siriu MERIS RS sp mean 1,467 RS mv mean 0,969 Photic l. mean 2,027

50 < [Cla] (mg/m 3 ) Colibita MERIS 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

51 No image < [Cla] (mg/m 3 ) Bezid MERIS RS sp mean 1,081 RS mv mean 1,775 Photic l. mean 0,787

52 < [Cla] (mg/m 3 ) Paltinu MERIS RS sp mean 1,487 RS mv mean 0,886 Photic l. mean 0,543

53 No image < [Cla] (mg/m 3 ) Vidraru MERIS RS sp mean 0,885 RS mv mean 1,049 Photic l. mean 1,453

54 No image < [Cla] (mg/m 3 ) Bradisor MERIS RS sp mean 1,420 RS mv mean 1,502 Photic l. mean 5,353 Out of image Different trend

55 Bezid (not in the image) >>>> CHRIS/Proba

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57 No defined trend Tipical fit line

58 MERIS MERIS

59 Punta Gennarta CHRIS/Proba

60 Punta Gennarta CHRIS/Proba [Chl a] (mg/m 3 ) ○ - Mean value: 33, < [Chla] (mg/m 3 ) Most of water pixels invalidated by sun glint effect

61 Cucchinadorza CHRIS/Proba

62 Cucchinadorza CHRIS/Proba [Chl a] (mg/m 3 ) ○ 1,0985 Mean value: 4, < [Chla] (mg/m 3 )

63 No image Cucchinadorza MERIS < [Cla] (mg/m 3 )

64 No image Cucchinadorza MERIS < [Cla] (mg/m 3 ) 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

65 Medio Flumendosa MERIS < [Cla] (mg/m 3 )

66 No image Medio Flumendosa MERIS < [Cla] (mg/m 3 ) 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

67 Mulargia MERIS < [Cla] (mg/m 3 )

68 Mulargia MERIS 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

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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 # [summer photic layer mean concentration]

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 ?

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73 Burguillo

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76 El Atazar

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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 CH : CHRIS/Proba # [summer photic layer mean concentration]

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, ) Thank you very much for your attention!

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: Peña-Martínez, Ramón; Domínguez-Gómez, José-Antonio (*) Centre for Hydrographic Studies of CEDEX (Spain) Topic/subtopic : Ecological Water Quality, Photosynthetic pigments, Remote sensing (*) External collaborator

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