Time and resolution : COSMO-SkyMed VHR data in support to precision farming applications

Transcription

1 17 th GEOCAP Conference Geomatics in Support of the CAP Tallinn, 24 November 2011 Time and resolution : COSMO-SkyMed VHR data in support to precision farming applications e-geos Headquarter Contrada Terlecchie Matera - Italy Commercial Office Via Cannizzaro Roma - Italy North Germany Pilot Project all COSMO-SkyMed images, copyright 2011 What is e-geos? EO Division (contracts, people and assets) COSMO-SkyMed (exclusive world-wide rights) Page 2 1

2 e-geos in the world Lockheed Martin, USA GeoEye, USA GAF/Euromap, Germany Telespazio France Rartel, Romania Aurensis, Spain e-geos, Italy (Eurimage) Telaer JSI, Japan East-Dawn, China e-geos, Kenya Telespazio Brazil Telespazio Argentina Direct presence Subsidiaries Strategic partners Page 3 COSMO-SkyMed Overview COSMO-SkyMed is the largest Italian investment in Space Systems for Earth Observation, a National Program conceived by Italian Space Agency (ASI) and funded by Italian Ministry of Research (MUR) and Italian Ministry of Defence (MOD) Page 4 2

3 The COSMO constellation COSMO 1 launch June 8, :34 GMT COSMO 2 launch December 9, :31 GMT COSMO 3 launch October 25, :28 GMT COSMO 4 launch November 6, :20 GMT Page 5 Reliability & Continuity COSMO-SkyMed X-band CSK-1 launched 8 June 2007 CSK-2 launched 9 December 2007 CSK-3 launched 25 October 2008 CSK-4 launched 6 November 2010 COSMO 2 nd Generation SAOCOM L-band SAOCOM is a L-band mission co-financed by CONAE and ASI Page 6 3

4 Unmatched Revisit At least 4 acquisitions / day (@ equator): 1 left looking and 1 right looking early morning (ASCENDING, approx. 6 AM local time) 1 left looking and 1 right looking late afternoon (DESCENDING, approx. 6 PM local time) The higher the latitude, the more the daily passes Page 7 COSMO-SkyMed current configuration CSK CSK3 CSK4 90 CSK1 Day CSK1 CSK2 CSK3 CSK4 CSK1 In a 16-days cycle there are 4 interferometric acquisitions Same orbit direction, same look side, same incidence angle Page 8 4

5 What is an MTC? Page 9 Multi-Temporal Coherent Colour Composite COHERENCE First SAR IMAGE Second SAR IMAGE Page 10 5

6 Analysis Page 11 Dataset SAR data: 20 COSMO-SkyMed Himage (3m of resolution) from April 30 to October 30 Optical data: 2 IRS images (23.5m of resolution) provided by GAF-AG Ancillary data provided by GAF-AG: Farmers interview about processing dates In situ photos (GPS tag) during : May-Preparation period (grubbing, plowing, sowing) July-Post-growth period (growth and harvesting) Page 12 6

7 Field Processing Monitoring Page 13 Corn Plowed: 30 Apr-3 May 05/05/ /05/2011 Page 14 7

8 Corn Sowing: 3-7 May Page 15 Corn Sowed: 7-15 May Page 16 8

9 Grown Fields Page 17 Corn Growth: 3-6 July 04/07/ /07/2011 Page 18 9

10 Corn Harvesting: Oct Page 19 Corn Harvested: Oct Page 20 10

11 Time Signature Page 21 Corn Plowed: 30 Apr-3 May 0,14 0,12 0,1 0,08 0,06 0,04 0, Page 22 11

12 Corn Sowing: 3-7 May 0,14 0,12 0,1 0,08 0,06 0,04 0, Page 23 Corn Sowed: 7-15 May 0,14 0,12 0,1 0,08 0,06 0,04 0, Page 24 12

13 27 Aug-4 Sep 0,18 0,16 0,14 0,12 0,1 0,08 0,06 0,04 0, Page Sep 0,18 0,16 0,14 0,12 0,1 0,08 0,06 0,04 0, Page 26 13

14 7-10 Oct 0,18 0,16 0,14 0,12 0,1 0,08 0,06 0,04 0, Page Oct 0,18 0,16 0,14 0,12 0,1 0,08 0,06 0,04 0, Page 28 14

15 14-22 Oct 0,18 0,16 0,14 0,12 0,1 0,08 0,06 0,04 0, Page 29 Corn Harvested: Oct 0,18 0,16 0,14 0,12 0,1 0,08 0,06 0,04 0, Page 30 15

16 Time signature: Corn vs Rye Page 31 04/07/2011 Corn vs Rye: Growth 3-6 July 04/07/2011 Page 32 16

17 Time signature: Corn 0,4 0,35 0,3 0,25 0,2 0,15 0,1 0, Page 33 Time Signature : Rye 2 1,8 1,6 1,4 1,2 1 0,8 0,6 0,4 0, Page 34 17

18 Optical-Radar Fusion Page 35 IRS Image: 23 Apr Page 36 18

19 MTC: 30 Apr-3 May Page 37 Fusion: IRS NDVI-Coherence OPtical Radar Fusion: NDVI Coherence Page 38 19

20 Optical-Radar Comparison: No Vegetattion 30 Aprl-3 May 05/05/ /04/ /05/2011 Page 39 Optical-Radar Comparison: Vegetattion 30 Aprl-3 May 05/05/ /04/ /05/2011 Page 40 20

21 Optical-Radar Comparison: Growth Vegetattion 27 Aug-4 Sept 04/07/ /08/ /07/2011 Page 41 Remarks COSMO-SkyMed VHR SAR data revealed very useful for agricultural application, thanks to : The 4 satellites constellation that allows an interferometric revisit with a frequency varying from 1 to 16 days and more,matching the wide range of needs that every agricultural activity requires Its high resolution data that allow recognition, characterization, boundary extracion and monitoring of fields The possibility to introduce Time in the anlysis allowing the characterization of the state of each field with no ambiguity and the identification of the occurred processing Page 42 21

22 Conclusions COSMO-SkyMed data allows the definition of the time signature of a field through its backscattering and time story. It is possible to define the state of a field (vegetated, not vegetated) and the type of vegetation (high plants or low plants) Optical and ground data confirmed radar results in the use of the coherence as an instrument to evaluate the state of a field COSMO-SkyMed SAR Data revealed good for a fusion with optical data, making possible to mix together time information (radar) with information about the vegetative state of plants (opticlal IR) COSMO-SkyMed data can be the best solution for agricultural monitoring and controls in international scenarios where metereological conditions make optical data no t reliable (e.g. rice monitoring in tropical areas) Page 43 Any question? lucio.cesarano@external.e-geos.it luca.pietranera@e-geos.it filippo.britti@e-geos.it vittorio.gentile@external.e-geos.it Page 44 22