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Training session on integrating GIS
and remote sensing data into Web portals
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Training VtPace
in Sri-Lanka

 
Training session on integrating GIS and remote sensing data into Web portals

 
 
Presentation of PACe
 
Project coordinator : Annukka PEKARINEN

Summary
The main issues PACe project is responding to is the lack of knowledge concerning the cetacean populations of the world and specifically the lack of spatial data for ecosystem based management initiatives. The movements and status of regional and seasonal populations and the factors that direct the population distribution in Sri Lankan waters are largely unknown. A few scientific visual surveys have been undertaken in Sri Lanka during last ten years but comprehensive mapping of whale populations in this area is missing.

Objectives
  • To produce basic data on cetacean populations to improve knowledge on cetacean biodiversity, abundance and important habitats, to be used for management purposes.
  • In addition to regular scientific reports and articles, spatial data on cetacean populations and their important habitats is produced and distributed among general public and professionals in ocean management.
  • Management procedures suitable for the study area will also be proposed.
Project timeline
  • 03.12.2013 – Kick-off meeting in University of Ruhuna.
  • March 2014 to May 2016 – Field works (passive acoustic monitoring, visual survey and oceanography works).
  • 07.11.2014 – 1st steering committee in VisioTerra, Champs-sur-Marne, France.
  • 26.11.2015 – 2nd steering committee in WMU, Malmö, Sweden
  • 13.01.2017 – Final steering committee in WMU, Malmö, Sweden
  • 02-06.10.2017 – Training VtPace – Extension until end 2017.
 
Presentation of VtPace portal
Attendees from NARA, MEPA and
University of Ruhuna

 
Precipitation Monitoring for Sri-Lanka
GPM (Global Precipitation Measurement) – per day, month
Sentinel-1 for Sri-Lanka
Instrument
• C-SAR (Synthetic Aperture Radar)
Modes
• IW (Interferometry Wide Swath) – swath=240km – GSD=10m
• EW (Extended Wide Swath) – swath=400km – GSD=40m
• SM (Stripmap) – swath=80-100km – GSD=6-10m
Polarization
• Single: Vertical (V) or horizontal (H)
• Dual: VV,VH (V emission, V or H reception) or HH, HV (H emission, V or H reception)
Series of 3 scenes
acquired on 21.09.2017
00:24:24 GMT
in descending orbit
2D-view
Series of 3 scenes
acquired on 21.09.2017
12:49:54 GMT
in ascending orbit
2D-view
Sentinel-2 for Sri-Lanka
Instrument
• MSI (Multi-Spectral Instrument) - optical
13 Bands
• VIS (visible): 2,3,4 (10m)
• Red edge: 5,6,7 (20m)
• NIR (Near Infrared): 8 (10m) 8A (20m)
• SWIR (Shortwave infrared): 11,12 (20m)
• Absorption (used for atmospheric corrections): 1,9,10 (60m)
Bay of Kachchativu (North) on
18.09.2017 04:56:51 GMT
One tile (100km x 100km).
2D-view
East coast of Sri-Lanka on
27.07.2017 05:06:01 GMT
5x3 tiles (tile D1 highlighted).
2D-view
Sentinel-3 for Sri-Lanka
Instruments
  • OLCI (Ocean Land Colour Instrument) – optical
    • 21 bands [0.4-1.02] μm
    • GSD = 300m
    • swath width = 1270 km
  • SLSTR (Sea and Land Surface Temperature Radiometer)
    • 9 bands [0.55-12] μm, NADIR + backward
    • GSD = 500m (VIS, SWIR), 1 km (MWIR, TIR)
    • swath width = 1420 km (NADIR), 750 km (backward)
  • SRAL (SAR Radar Altimeter)
    • Range measurement: Ku-band (13.575 GHz) and C-band (5.41 GHz)
    • Sampling rate: 1 Hz (»850m) and 10 Hz (»85m)
OLCI on 30.09.2017 09:30:04 GMT.
SLSTR on 01.10.2017 16:28:18 GMT.
2D-view
SRAL on 29.09.2017 04:35:48 GMT.
2D-view

 
Theme 1 - Oil spill
Sentinel-1A 21.09.2017 12:49:00 GMT - 2D_view
Theme 2 - Mariculture farm
AOI – Sentinel-2 17.06.2017 - 2D_view
Theme 3 – Upwelling seen from Radar data
(+checking contemporaneous meteorological data)
Sentinel-1 19.10.2014 00:25:08 GMT in zone 2 - 2D_view
Theme 3 – Upwelling from CMEMS
SST and currents
“Flows along the eastern and western coasts of Sri Lanka are southward, and converge along the southern coast. As the surface water is flowing offshore, there is a divergence of water on the coast, which results in a coastal upwelling. Upwellings bring cold, nutrient rich and oxygen poor water on the surface, this is the reason why we can use temperature data to see upwellings.” (Yéelen OLIVE; VisioTerra)

01.08.2017 - CMEMS / Mercator “Ocean sea water potential temperature” and “Surface water velocity and direction” 2D_stack
Copyright © 2017 VisioTerra, All rights reserved.


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