Results from additional data acquisition in some

Transcription

1 L-M M GIG 6th Meeting. CEMAGREPH, Aix-en Provence (FR) May 2006 Results from additional data acquisition in some GIG reservoirs by satellite remote sensing. Authors: Peña-Mart Martínez, Ramón; ; Domínguez nguez-gómez, José-Antonio; Centre for Hydrographic Studies of CEDEX (Spain( Spain) Topic/subtopic : Ecological Water Quality, Photosynthetic pigments,, Remote sensing

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4 2005 CHRIS/Proba image set acquisition 0 Bezid (no in the frame) Sacele * Cucchinadorza (too late) * Punta Gennarta Kouris Asprokremmos * Finally no included in the IC process 0 No image Only 3 available image sets along the summer Then...

5 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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7 MERIS / ENVISAT-1 images Last images CHRIS/Proba images Bezid Kouris bad pointing Sacele Punta Gennarta excluded IC Asprokremmos Cucchinadorza excluded IC

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14 Kouris Asprokremmos Lefkara

15 Asprokremmos reservoir. Last images received. Chl a Pixel # ,1175 1,2984 1, ,3197 1,0749 1, ,2888 0,9241 0, ,2473 0,6784 0, ,1761 1,2496 0, ,3137 1,4942 0, ,1184 1,299 1, ,6213 1,0642 1, ,4862 0,9003 1, ,6409 0,6631 1, ,7393 0,7106 0, ,3123 1,7807 1, ,1159 0,971 1, ,1058 1,5877 1, ,3718 0,5864 0, ,0522 0,9921 1, ,1388 1,3067 0, ,3419 1,5112 1,4 19 1,7398 1,5223 1, , , , , , , , ,3675 mean values 1,33 1,14 1,12

16 Kouris reservoir. Pixel # Last images received Chl a 1 1,7057 1,6646 1, ,0987 0,9323 1, ,7286 0,6479 1, ,1973 1,6176 1, ,9893 0,8318 2, ,9899 1,8448 2, ,6872 0,3067 1, ,7371 0,9166 1, ,2448 1,499 1, ,0232 1,5995 0, ,1158 1,6107 0, ,335 1,3761 1, ,6671 0,8728 1, ,4197 0,5218 1, ,2768 1,6334 1, ,2767 1,6494 1, ,4159 1,6513 0, ,4101 0,0482 0, ,7163 0, , ,7514 0,0932 0, ,666 0,2762 1, ,0938 0,905 2, ,0741 1,5152 2, ,0913 1,8577 1, ,8801 2,1963 1, ,7158 1,6465 1, ,4261 0,0537 1, ,4287 1,7054 0, ,2272 1,2071 1, ,4939 1, ,9718 0, ,0831 1, ,0591 2, ,8633 1, ,75 1, ,5562 1, , , , , , ,313 mean values 1,62 1,13 1,51

17 Lefkara reservoir. Last images received. Chl a Pixel # ,5301 1,934 1, ,4798 1,7368 1, ,4374 1,6219 1,4701 4,4473 5,2927 4,8143 mean values 1,48 1,76 1,6

18 Asprokremmos CHRIS/Proba

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

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

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

22 [Chl a] (m g/m 3) ASPROKREMMOS Evolution last images CHRIS ( ) 4,45426 Mean value: 5, Asprokremmos < [Cla] (mg/m 3 ) MERIS RS sp RS mv SP

23 ASPROKREMMOS Evolution [Chl a] (m g/m 3)

24 Kouris CHRIS/Proba

25 [Chl a] (mg/m 3 ) 2,3256 Mean value: 1,8619 Kouris < 20 25< [Chla] (mg/m [Cla] 3 )(mg/m 3 ) CHRIS/Proba

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

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

28 [Chl a] (m g/m 3) KOURIS Evolution last images CHRIS ( ) 2,3256 Mean value: 1, Kouris < [Cla] (mg/m 3 ) MERIS RS sp RS mv SP

29 KOURIS Evolution [Chl a] (m g/m 3)

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

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

33 LEFKARA Evolution [Chl a] (m g/m 3) last images 0 Lefkara < [Cla] (mg/m 3 ) RS sp RS mv SP MERIS

34 LEFKARA Evolution [Chl a] (m g/m 3)

35 Cyprus Reservoirs [Chla ] sampling data vs. [Chla] remote sensing data 6 [Chla ] (mg/m 3 ) remote sensing 5,5 5 4,5 4 3,5 3 2,5 2 1,5 1 1:1 line 0, ,5 1 1,5 2 2,5 3 3,5 4 4,5 5 5,5 6 [Chla ] (mg/m 3 ) sampling

36 SD(m) S D ( m ) Sampling data SD vs. Chla y Sampling = 3.276x --- R. Sensing --- _ R 2 = [Cla](mg/m 3 ) SD (m) Remote sensing data y = 3,4511x -0,2042 y = 4,1868x -0, [Chla ] (mg/m 3 ) [Chla ] (mg/m3)

37 TM/LANDSAT 5 MERIS

38 Sacele CHRIS/Proba

39 [Chl a] (mg/m 3 ) 1,299 Mean value: 0,8227 Sacele < [Chla] (mg/m 3 ) CHRIS/Proba

40 Sacele evolution RS sp RS mv SP [Ch l a] (m g /m 3)

41 Izvorul Montelui evolution RS sp RS mv [Chl a] (m g/m 3) SP

42 Siriu evolution RS sp RS mv SP [Chl a] (m g/m 3)

43 Colibita evolution RS sp RS mv SP [Chl a] (mg/m3)

44 Sacele evolution cloudy CHRIS ( ) 1,299 Mean value: 0,8227 [Ch l a] (m g /m 3) Sacele < [Cla] (mg/m 3 ) RS sp RS mv SP MERIS

45 Izvorul Montelui evolution [Chl a] (m g/m 3) Izvorul Muntelui < [Cla] (mg/m 3 ) RS sp RS mv MERIS SP

46 Siriu evolution [Chl a] (m g/m 3) Siriu < [Cla] (mg/m 3 ) RS sp RS mv MERIS SP

47 Colibita evolution Colibita < [Cla] (mg/m 3 ) MERIS SP RS sp RS mv [Chl a] (mg/m3)

48 Bezid (no in the image) >>>> CHRIS/Proba

49 Bezid evolution RS sp RS mv SP [Chl a] (mg/m3)

50 Paltinu evolution RS sp RS mv SP [Chl a] (mg/m3)

51 Vidraru evolution RS sp RS mv SP [Chl a] (mg/m3)

52 Bradisor evolution RS sp RS mv SP [Chl a] (mg/m3)

53 Romania Reservoirs [Chla] sampling data vs. [Chla] remote sensing data [Chla] (mg/m3) remote sensing 12 11, ,5 10 9,5 9 8,5 8 7,5 7 6,5 6 5,5 5 4,5 4 3,5 3 2,5 2 1,5 1 0, ,5 1 1,5 2 2,5 3 3,5 4 4,5 5 5,5 6 6,5 7 7,5 8 8,5 9 9, , ,5 12 [Chla] (mg/m3) sampling 1:1 line

54 Tipical fit line No defined trend

55 MERIS MERIS

56 Punta Gennarta CHRIS/Proba

57 [Chl a] (mg/m 3 ) - Mean value: 33,48 Most of water pixels invalidated by sun glint effect Punta Gennarta < [Chla] (mg/m 3 ) CHRIS/Proba

58 Cucchinadorza CHRIS/Proba

59 [Chl a] (mg/m 3 ) 1,0985 Mean value: 4,4891 Cucchinadorza < [Chla] (mg/m 3 ) CHRIS/Proba

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

61 Cucchinadorza evolution RS sp RS mv [Chl a] (mg/m3)

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

63 Medio Flumendosa evolution RS sp RS mv SP [Chl a] (mg/m3)

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

65 Mulargia evolution RS sp RS mv SP [Chl a] (mg/m3)

66 8 y = 5,2756x -0,1552 Sampling data SD vs Chl a --- R. Sensing / Sampling --- SD(m) y = 5,2756x -0,1552 SD(m) ,5 1 1,5 2 2,5 3 3,5 4 4,5 5 4 y = -0,4791Ln(x) + 4,859 [Chl a](m g/m 3) 8 Remote sensing data 3 7 y = -0,4791Ln(x) + 4, SD(m) ,5 1 1,5 2 2,5 3 3,5 4 4, ,2 0,4 0,6 0,8 1 1,2 1,4 1,6 1,8 2 [Chl a](mg/m3) [Chl a](m g/m 3)

67 Reservoir Chlorophyll-a (mg/m3) Type Country name Sampling RS sp RS mv CH sp CH mv # LM8 CYPRUS Asprokremmos 1,979 1,490 1,220 4,454 5,038 LM8 CYPRUS Kouris 1,800 1,367 1,272 2,326 1,862 LM8 RC CYPRUS Lefkara 0,381 1,607 1,677 LM8 ITALY Medio Flumendosa 2,600 1,635 1,580 LM8 ITALY Mulargia 1,853 1,808 1,067 LM7 ITALY Sos Canales 3, LM8 ROMANIA Bezid 1,699 1,081 1,775 LM7 ROMANIA Bradisor 5,353 1,420 1,502 * LM7 ROMANIA Colibita 2,365 1,978 1,147 LM8 ROMANIA Izvorul Muntelui 1,392 0,952 0,969 LM8 ROMANIA Paltinu 1,721 1,487 0,886 LM8 ROMANIA Sacele 0,542 1,010 0,886 1,299 0,823 LM8 ROMANIA Siriu 2,024 1,467 0,969 LM7 ROMANIA Vidraru 1,678 0,885 1,049 * till CH : CHRIS/Proba # [summer photic layer mean concentration]

68 . MAY 2006 Reservoir Reservoir Chlorophyll-a Chlorophyll-a (mg/m3) (mg/m3) Type Country name Sampling RS sp RS mv CH sp CH mv # LM8 CYPRUS Asprokremmos 1,979 1,980 1,490 1,405 1,215 1,220 4,454 5,038 LM8 CYPRUS Kouris 1,800 1,367 1,180 1,116 1,272 2,326 1,862 LM8 RC CYPRUS Lefkara 0,381 1,607 1,557 1,499 1,677 LM8 ITALY Medio Flumendosa 2,600 1,635 1,580 LM8 ITALY Mulargia 1,853 1,808 1,067 LM7 ITALY Sos Canales 3, LM8 ROMANIA Bezid 1,699 1,081 1,775 LM7 ROMANIA Bradisor 5,353 1,420 1,502 * LM7 ROMANIA Colibita 2,365 1,978 1,147 LM8 ROMANIA Izvorul Muntelui 1,392 0,952 0,969 LM8 ROMANIA Paltinu 1,721 1,487 0,886 LM8 ROMANIA Sacele 0,542 1,010 0,886 1,299 0,823 LM8 ROMANIA Siriu 2,024 1,467 0,969 LM7 ROMANIA Vidraru 1,678 0,885 1,049 * till CH : CHRIS/Proba # [summer photic layer mean concentration]

69 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. Thank you very much for your attention! -In the operational phase of WFD implementation,, remote sensing can provide an useful tool to assess the Ecological Quality of entire e 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 Lisbon,, )

70 L-M M GIG 6th Meeting. CEMAGREPH, Aix-en Provence (FR) May 2006 Results from additional data acquisition in some GIG reservoirs by satellite remote sensing. Authors: Peña-Mart Martínez, Ramón; ; Domínguez nguez-gómez, José-Antonio; Centre for Hydrographic Studies of CEDEX (Spain( Spain) Topic/subtopic : Ecological Water Quality, Photosynthetic pigments,, Remote sensing