Belair Litora. B E L A I R WO R KS H OP J U N E 1 3, G e m bl o u x, B e l g i um

Transcription

1 Belair Litora B E L A I R WO R KS H OP J U N E 1 3, G e m bl o u x, B e l g i um E l s k n a e ps, D r i e s R ay m a e ke rs, S i v e e C h a w l a, N i t i n B h a t i a, P i e t e r Ke m p e n e e rs, L u c B e r t e l s, Ko e n S a b b e, J a a k M o n b a l i u, H a n a O r t e ga Ya m a mo t o, B e n S o m e rs, J e ro e n Va nden B o r re

2 Overview INTRO: Locations ---- Aim---- Team CAMPAIGN: In-situ Airborne ----Spaceborne PRELIMINARY RESULTS FEED-BACK

3 INTRODUCTION --- Locations The LITORA area is situated at the Belgian coastal zone, where the presence of the North Sea has a strong influence on the interaction between the people and their environment. Zeebrugge Zwin Yzer Lage Moere

4 INTRODUCTION --- Aim & Teams The LITORA study group monitors a variety of environmental processes, including water quality at the Port of Zeebrugge, sediment deposition at the Yzer estuary and biodiversity at the nature reserves of Zwin and Lage Moere (Meetkerke). Zeebrugge: water quality Zwin : biodiversity Yzer: sediment deposition Lage Moere: biodiversity

5 Litora - Zeebrugge Background knowledge Water quality mapping through airborne and satellite missions from 2001 onwards Focus on inland and coastal water quality. Atmospheric correction and retrieval of TSM in turbid highly turbid waters Test-sites: Scheldt, Rio de la Plata, Gironde, Waddensee, Bodensee, Doha, Specific aim for BELAIR: Establish longterm test-site which allows high frequency water quality monitoring Establish cross-validation between field.close range airborne satellite measurements Valorisation possibilities with direct enduser: Yearly around 5 to 7 megaton of dry material (nearly 100% mud) is dredged for its maintenance

6 Litora - Zeebrugge In-situ campaign water quality (TSM, CHL-a) ASD water spectra Sunphotometer measurements

7 Litora - Zeebrugge In-situ campaign

8 Litora - Zeebrugge In-situ campaign ASD measurements

9 Litora - Zeebrugge In-situ campaign -TSM

10 Litora - Zeebrugge In-situ campaign CHL-a (Algae)

11 Litora - Zeebrugge Airborne campaign 2 APEX flight lines, each flown 3 times Processed toward water leaving reflectance product at VITOs CDPC

12 Litora - Zeebrugge Satellite imagery Pleiades : next day! Not yet processed! But you see the potential of having much more spatial detail

13 Litora - Zeebrugge (Preliminary) Results Development one-band vs band ratio algorithm based on ASD measurements

14 Litora - Zeebrugge (Preliminary) Results Development one-band vs band ratio algorithm applied to APEX imagery RMSE for TSM estimates based on ASD 5.06 mg/l RMSE for TSM estimates based on APEX :13.42 mg/l

15 Litora - Zeebrugge (Preliminary) Results Development one-band algorithm applied to APEX imagery Flighline 1 Flighline 2

16 Litora - Zeebrugge (Preliminary) Results Development one-band algorithm applied to APEX imagery Flighline 2

17 Litora - Zeebrugge (Preliminary) Results Development one-band algorithm applied to APEX imagery Flighline 2

18 Litora - Zeebrugge (Preliminary) Results Development one-band algorithm applied to APEX imagery

19 Litora - Zeebrugge FEED BACK: what was good, what could be improved Good organisation of flight/field campaign although not simple to be stand-by for 1 month! Good quality of APEX spectra, consistency throughout the different flight lines Good relationship between ASD/APEX and TSM APEX flights should be spread along the tidal cycle, with a flightline every 30min Use of in-situ dataloggers (Fluorescence, Turbidity) to sample high variable environment in better way UAV flight permission (CTR Koksijde) (inter)national collaboration for cross-validation

20 Litora - IJzermonding Background knowledge (see also ALGASED final report ) Quantification of microphytobenthos (MPB) and sediment physical properties from RS images (former STEREO campaigns Ijzermonding and Molenplaat) Supervised and unsupervised classification techniques for sediment characterization Multi-scale analysis (spectral and spatial resampling) and its relation to sediment properties (including geostatistical analysis techniques) Database that integrates the available data from former campaigns. Specific aim for BELAIR: Extend times series of RS images (APEX sensor) of Ijzermonding to study long term evolution (intertidal sediments and MPB) Validation APEX sensor for monitoring application intertidal areas

21 Litora - IJzermonding In-situ campaign: YELLOW RED FINAL TRACK IN THE FIELD FLIGHT LINE

22 Litora - IJzermonding In-situ campaign YM31_A YM31_central YM31_B

23 Litora - IJzermonding In-situ campaign

24 Litora - IJzermonding Satellite imagery 1 flight line above IJzermonding: 09:31-09:23 flying height of about 3940m

25 Litora - IJzermonding Preliminary results SEDIMENT ANALYSIS GPS measurements STATION Latitude Longitude YM YM YM YM YM YM YM YM YM YM YM YM YM YM YM YM YM YM YM YM YM YM YM12 / / YM34 / / YM35 / / YM YM YM YM YM ASD REFLECTANCE-> REFERENCE TARGETS

26 Litora - IJzermonding Preliminary results ASD REFLECTANCE -> PREPROCESSING All measurements Plots of the 5 measurements taken at each station Quality control: zoom and standard deviation to delete strongly deviating measurements Averaged reflectance per station

27 Litora - IJzermonding FEED BACK: what was good, what could be improved (+) Flight window extended after prolonged period of bad weather conditions -> we still have an image! Possibility to use (calibrated) instruments from the BELAIR pool (-) Difficult to have crew standby beyond the originally agreed flight window. Field sampling did not follow protocol exactly (samples are more than half a meter from center) Insufficient resources to do image analysis -> now taken as master thesis research ( )

28 Litora - Zwin and Lage Moere Background knowledge: several projects on habitat mapping and monitoring with remote sensing since 2003 focus on heathlands, coastal dunes, forests grasslands and tidal areas: knowledge gap Specific aim for BELAIR: to develop practical methodologies for mapping and monitoring biodiversity, in particular habitat types establishing long-term test site is important for ecosystems where longer time-series may provide the key to more successful mapping (grasslands) that are inherently dynamic (tidal areas)

29 Litora - Zwin and Lage Moere Imagery - Airborne hyperspectral campaign Zwin: 8 & 9/07/2013 Lage Moere: 8/07/2013 Processed by VITO

30 Litora - Zwin and Lage Moere Imagery - Satellite Landsat archive data

31 Litora - Zwin and Lage Moere Imagery - UAS Zwin (west): 7 & 10/04/2014 NIR camera Processing ongoing (INBO)

32 Litora - Zwin and Lage Moere In-situ campaign sunphotometer: cf Zeebrugge black/white targets: ASD Zwin: detailed vegetation map summer 2013 Lage Moere: limited set of vegetation relevés (target classes)

33 Litora - Zwin and Lage Moere Outlook & plans Master s thesis KULeuven on grassland monitoring at Zwin Field sampling Zwin grasslands 2014: spectral signature of target classes biomass grasses/forbs ratio species diversity trampling zones Linking ecological indicators with spectral information Spectral Indicators neural networks decision tree classifiers spectral mixture analysis radiative transfer models vegetation indices Band selection Spectral transformation Spectral Weighing cf. Somers et al., RSE, 2011

34 Litora - Zwin and Lage Moere FEEDBACK: what was good, what could be improved (+) data acquisition and processing as requested (-) call for study sites came very late only data budget; analysis depends on additional funding

35 Thank you!