Satellite imagery for CWRS from Irish perspective. Speaker: Aleksandra Kocon Author: Aleksandra Kocon

Size: px
Start display at page:

Download "Satellite imagery for CWRS from Irish perspective. Speaker: Aleksandra Kocon Author: Aleksandra Kocon"

Transcription

1 Satellite imagery for CWRS from Irish perspective Speaker: Aleksandra Kocon Author: Aleksandra Kocon

2 Introduction Long acquisition windows / windows fitting with crop cycle problem Main problem: CLOUDS Partial zone acquisitions (13 zones in 2018 VHR1) Sometimes high failure rate for HR Limited Sentinel 2 availability

3 Ireland CWRS zones Zone size: 375 km² Total area: km² VHR2 75% of CWRS area Methods: (36) (36) (2) (36) (13) : 36 zones Winter HR VHR1 HRB1 VHR2 HR+1 12 zones Windows: (12) (12) (3) Winter HR VHR1 HR+1 Winter HR 11 weeks 20/12/ /03/2015 (12) number of zones successfully acquired VHR1 12/03/2015 (17 zones) - 27/07, all captured by 21/04(3-6 weeks) 2/04/2015 (31 zones) HRB1 08/06/ /07/2015* * - extended till 28/07/2015 (final window 7 weeks) VHR2 11 weeks 29/07/ /10/2015 ; all captured by 13/10 HR+1 4 weeks window 17 zones 09/ / zones 10/ / zone 11/ /2015 HR+1 01/07/ /09/2015* *extended till 18/09/2015 (final window 6 weeks)

4 Ireland CWRS zones Scenes processed Zone size: 375 km² Total area: Number of Imagery km² type scenes HR_winter 46 VHR1 129 HRB1 2 VHR2 63 HR+1 16 RapidEye (HR 5m) 33 Sentinel1 (radar) 96 Methods: 36 zones 12 zones (36) (36) (2) (36) (13) Winter HR VHR1 HRB1 VHR2 HR+1 (12) (12) (3) Winter HR VHR1 HR+1 (12) number of zones successfully acquired First year of GREENING scheme Sentinel 2 not available that time Sentinel 1 available and used for crop check Additional imagery acquired (RAPID EYE and DEMOS) for parcels outside zone and greening crop check and catch crops Deimos (HR 22m) 1 LPIS QA 3 389

5 Ireland CWRS 2015 One of the problems back in 2015: patchy VHR1 acquisitions example of CAHI zone 2 2 North 26/03/ km², CC 9.3% 3a 3a Mid 08/04/ km², CC 0% 1 Southwest 14/03/ km², CC 4.7% 3b East 08/04/ km²,cc 0% 1 Image 1 - 'WorldView-2-data, European Space Imaging/DigitalGlobe, 2015, distributed by European Space Imaging Image 2 - GeoEye-1 data European Space Imaging/DigitalGlobe, 2015, distributed by European Space Imaging Image 3a, 3b- 'WorldView-3-data, European Space Imaging/DigitalGlobe, 2015, distributed by European Space Imaging' 3b

6 Ireland CWRS 2015 Issue addressed by the image provider and did not repeat for VHR2. Proposed alternative was to use two WORLDVIEW 03 images from 08/04/2015 (full coverage ) and low cloud cover %. 2 3a 1 3b 4 Before Image 1 - 'WorldView-2-data, European Space Imaging/DigitalGlobe, 2015, distributed by European Space Imaging After Image 2 - GeoEye-1 data European Space Imaging/DigitalGlobe, 2015, distributed by European Space Imaging Image 3a, 3b, 4- 'WorldView-3-data, European Space Imaging/DigitalGlobe, 2015, distributed by European Space Imaging'

7 Ireland CWRS zones Zone size: 294 km² Total area: km² VHR2 27 % of CWRS area Methods: 13 zones Windows: (13) (13) (13) (1) Winter HR VHR1 VHR2 HR+1 (35) (35) (35) 35 zones Winter HR VHR1 HR+1 HR+2 Winter HR 12 weeks 15/12/ /03/2016 (12) number of zones successfully acquired VHR1 8 weeks 15/03/ /05/2016 all captured by 13/05/2016 VHR2 10 weeks 15/06/ /09/2016 all captured by 24/08/2016 HR+1 4 weeks (starting end of August) with few days extension HR+1 15/06/ /07/2016* (none captured within initial 4 weeks window) *extended till 19/08/2016 (final window 8 weeks) HR+2 4 weeks (starting end of August) with few day extension (4)

8 Ireland CWRS zones Zone size: 294 km² Total area: km² Second year of GREENING scheme Sentinel 2 available and processed Sentinel 1 not used No additional imagery purchased Number of Imagery type scenes HR_winter 50 VHR1 87 VHR2 29 HR+1 36 HR+2 4 Sentinel2 23 LPIS QA 3 232

9 Ireland CWRS 2017 Adjusted with natural features (coastline), country border Overlap with CWRS zones from last two years removed Adjusted with OSI grid which is basic mapping unit for imagery input to Basic Payment System Neighbouring zones merged for easier image acquisition and processing Initial 48 zones Initial Final 4834 zones Final 34 zones

10 Ireland CWRS zones (equivalent of 48) Zone size: variable Total area: km² VHR2 44 % of CWRS area Methods: 13 zones Windows: (13) (13) (13) (2) Winter HR VHR1 VHR2 HR+1 (20) (21) (21) 21 zones Winter HR VHR1 HR+1 HR+2 Winter HR 11 weeks 21/12/ /03/2017 VHR weeks 15/03/ /05/2017 or 29/05/2017 all captured by 26/03/2017, apart 1 zone 25/05/2017 VHR weeks 15/06/ /08/2017 or 29/08/2017; all captured by 18/06/2017 HR+1 4 weeks 22/08/ /09/2017 (1) (12) number of zones successfully acquired HR+1 4 weeks 15/06/ /07/2017 with 3 zones extended by 5 weeks till 21/08/2017 HR+2 4 weeks 22/08/ /09/2017

11 Ireland CWRS zones (equivalent of 48) Zone size: variable Total area: km² Third year of GREENING scheme Sentinel 2 available and processed Sentinel 1 not used No additional imagery purchased Number of Imagery type scenes HR_winter 33 VHR1 72 VHR2 28 HR+1 23 HR+2 1 Sentinel2 25 LPISQA 3 173

12 June 2017 Sensor MODIS (Terra) Source:

13 July 2017 Sensor MODIS (Terra) Source:

14 August 2017 Sensor MODIS (Terra) Source:

15 Ireland CWRS zones (equivalent of 48) Zone size: variable Total area: km² VHR2 100 % of CWRS area Method: 34 zones VHR1 VHR2 Windows: VHR1 12 weeks 15/03/ /06/2017 VHR2 9 weeks 21/06/ /08/ Sentinel 1 and Sentinel 2 Why HR is not acquired? Ideal window 15/05/-15/06 Ideal window 15/07/-15/08 VHR constellation (WV02, WV03, WV04, GE01 with Acomp) the most reliable. During only one partial zone was delivered as panchromatic (WV1). With HR sometimes failure rate was high.

16 How imagery is being processed VHR bundle mode ordered (originally 16bit). Steps: 1) Orthocorrection (panchromatic, multispectral) 2) Pansharpening 3) Colour/contrast adjustment in ERDAS 4) Adjusted image is exported (LUT stretch) as 8 bit in.img format. 5) Then Global Mapper is used for cutting out black edges, creating mosaics for partial acquisitions. 6) Final image is pyramided to be used in BPS system and also final image is exported as.ecw to be used in MapInfo. Imagery type Bands HR FC VHR1 TC VHR2 TC, FC Sentinel 2 FC, TC since 2017 HR bundle or pansharpened mode, reduced to 8 bit after colour/contrast adjustment. Saved as ECW to be used in Mapinfo. Sentinel 2 R,G,B,IR bands are stitched, colours/contrast adjusted and processed to ECW. All checks for CWRS are visual and there is no visual difference between 8 bit and 16 bit in ERDAS. Size of the 8bit file is much smaller (50%).

17 How imagery is being used Winter HR winter activity (ploughing for winter crops, ploughing for spring crops) VHR1 boundary validation, crop check. Also for LPIS updates. VHR2 boundary validation for problematic parcels (when VHR1 not clear T4,T5), crop check. Also for LPIS updates. Other HR agriculture activity, crop check Sentinel 2 agriculture activity, crop check

18 Additional processing of shadowed areas Example for SWIN zone, GE01 13/05/2016 GeoEye-1 data European Space Imaging/DigitalGlobe, 2016, distributed by European Space Imaging

19 Winter HR, 2/01/2017 Spot7 VHR1, 25/05/2017 WV02 Left image - Spot 7 Airbus DS (2017) Right image- 'WorldView-2-data, European Space Imaging/DigitalGlobe, 2017, distributed by European Space Imaging

20 VHR1, 25/05/2018 WV02 VHR2, GE01 17/06/2017 Left image - 'WorldView-2-data, European Space Imaging/DigitalGlobe, 2017, distributed by European Space Imaging Right image - GeoEye-1 data European Space Imaging/DigitalGlobe, 2017, distributed by European Space Imaging

21 VHR2, GE01 17/06/2017 Sentinel 2, 17/07/2017 Left image - GeoEye-1 data European Space Imaging/DigitalGlobe, 2017, distributed by European Space Imaging Right image -

22 Low image usage % Selection of Herds 1. All schemes included in Risk Analysis 2. Risk based selections still apply, particularly for Pillar 2 schemes 3. Attempting to combine risk analysis selection and maximising use of RS for efficiency purposes 4. Imagery not used for CwRS used for LPIS update High cost of imagery one of the solution might be flexibility to revise the contract during CwRS. For example after VHR1 - if VHR1 is cloudless then possible change of VHR2 to HR.

Role, Workflow and Challenges

Role, Workflow and Challenges 1 Workshop on checks and management of agricultural land in IACS The actual use of imagery Image Processing at EFTAS Role, Workflow and Challenges Head of IT, Image Processing Unit CwRS 2 The Role 30 years

More information

2010 Image acquisition campaign

2010 Image acquisition campaign 2010 Image acquisition campaign Eugenio Gervasini, Blanka Vajsová, Simone Gentilini, Cherith Aspinall, Pär Ästrand, Juergen Breunig - CID, MARS Unit, JRC Ispra OUTLINE: 2010 Campaign overview: HR VHR Expenditure

More information

What can we check with VHR Pan and HR multispectral imagery?

What can we check with VHR Pan and HR multispectral imagery? 2008 CwRS Campaign Kick-off meeting, Ispra, 03-04 April 2008 1 What can we check with VHR Pan and HR multispectral imagery? Pavel MILENOV GeoCAP, Agriculture Unit, JRC 2008 CwRS Campaign Kick-off meeting,

More information

LPIS Orthoimagery An assessment of the Bing imagery for LPIS purpose

LPIS Orthoimagery An assessment of the Bing imagery for LPIS purpose LPIS Orthoimagery An assessment of the Bing imagery for LPIS purpose Slavko Lemajić Wim Devos, Pavel Milenov GeoCAP Action - MARS Unit - JRC Ispra Tallinn, 24 th November 2011 Outline JRC`s Ortho specifications

More information

Data Warehouse Phase 2 CORE Datasets Status 15 th May 2018

Data Warehouse Phase 2 CORE Datasets Status 15 th May 2018 Data Warehouse Phase 2 CORE Datasets Status 15 th May 2018 The document presents the status of the open CORE datasets, for which data provision is on-going. Once closed, content of the datasets can be

More information

High resolution satellite imagery a shared and collective data source

High resolution satellite imagery a shared and collective data source High resolution satellite imagery a shared and collective data source Jean-Philippe Cantou IGN France EFGS forum - Helsinki 16-18 october 2018 1 / 25 ign.fr IGN duties Produce and update the large scale

More information

News on Image Acquisition for Campaign 2008

News on Image Acquisition for Campaign 2008 Ispra, 3-4/04/2008 CwRS KO meeting 1 News on Image Acquisition for Campaign 2008 Pär Johan Åstrand, Maria Erlandsson, annian Zhu CID Action Ispra, 3-4/04/2008 CwRS KO meeting 2 Outline of presentation

More information

Image Acquisition Campaign 2008

Image Acquisition Campaign 2008 Madrid, 12-14 November, 2007 Geomatics in Support of the CAP 1 Image Acquisition Campaign 2008 Pär Johan Åstrand, Maria Erlandsson Mihaela Fotin, Cherith Aspinall JRC, CID JRC, CID Madrid, 12-14 November,

More information

Satellite Imagery Characteristics, Uses and Delivery to GIS Systems. Wayne Middleton April 2014

Satellite Imagery Characteristics, Uses and Delivery to GIS Systems. Wayne Middleton April 2014 Satellite Imagery Characteristics, Uses and Delivery to GIS Systems Wayne Middleton April 2014 About Geoimage Founded in Brisbane 1988 Leading Independent company Specialists in satellite imagery and geospatial

More information

VHR Image Acquisition Specifications for the CAP Controls (CwRS and LPIS QA)

VHR Image Acquisition Specifications for the CAP Controls (CwRS and LPIS QA) EUROPEAN COMMISSION JOINT RESEARCH CENTRE Institute for Environment and Sustainability Monitoring Agricultural ResourceS Unit JRC IES/H04/C/PAR/par / Specifications VHR Image Acquisition Specifications

More information

European Space Imaging

European Space Imaging European Space Imaging Use cases of Very High Resolution satellite imagery in support of crop management GEO-CRADLE Regional Workshop, 7/12/2017, Tunis Arnaud Durand adurand@euspaceimaging.com COMPANY

More information

News on Image Acquisition for the CwRS Campaign new sensors and changes

News on Image Acquisition for the CwRS Campaign new sensors and changes Control Methods Workshop: 6-8 / 4 / 2009 [CwRS KO Meeting Campaign 2009] 1 News on Image Acquisition for the CwRS Campaign 2009 - new sensors and changes Pär Johan Åstrand, Joanna Nowak, Maria Erlandsson

More information

Introduction to WG5 on CwRS imagery use and alternatives and QE5 on claimed rate inside the RP Peter Viskum Jørgensen, FERV and Birger Faurholt

Introduction to WG5 on CwRS imagery use and alternatives and QE5 on claimed rate inside the RP Peter Viskum Jørgensen, FERV and Birger Faurholt Introduction to WG5 on CwRS imagery use and alternatives and QE5 on claimed rate inside the RP Peter Viskum Jørgensen, FERV and Birger Faurholt Pedersen, University of Aarhus, DK CwRS Imagery use and alternatives

More information

GMES DA COPERNICUS

GMES DA COPERNICUS 2014 Airbus Defence and Space All rights reserved. The reproduction, distribution and utilization of this document as well as the communication of its contents to others without express authorization is

More information

VHR Image Specifications for the CwRS Programme Campaign Pär Johan Åstrand Maria Erlandsson

VHR Image Specifications for the CwRS Programme Campaign Pär Johan Åstrand Maria Erlandsson VHR Image Specifications for the CwRS Programme Campaign 2009 Pär Johan Åstrand Maria Erlandsson EUR 23404 EN/2-2009 The mission of the JRC-IPSC is to provide research results and to support EU policy-makers

More information

The studies began when the Tiros satellites (1960) provided man s first synoptic view of the Earth s weather systems.

The studies began when the Tiros satellites (1960) provided man s first synoptic view of the Earth s weather systems. Remote sensing of the Earth from orbital altitudes was recognized in the mid-1960 s as a potential technique for obtaining information important for the effective use and conservation of natural resources.

More information

Summary of the VHR image acquisition Campaign 2014 and new sensors for 2015

Summary of the VHR image acquisition Campaign 2014 and new sensors for 2015 Summary of the VHR image acquisition Campaign 2014 and new sensors for 2015 Michaela Neumann, George Ellis, Samuel Bärisch, Blanka Vajsova 19 November 2014, Dresden 20th MARS Conference Presentation Outline

More information

Image interpretation. Aliens create Indian Head with an ipod? Badlands Guardian (CBC) This feature can be found 300 KMs SE of Calgary.

Image interpretation. Aliens create Indian Head with an ipod? Badlands Guardian (CBC) This feature can be found 300 KMs SE of Calgary. Image interpretation Aliens create Indian Head with an ipod? Badlands Guardian (CBC) This feature can be found 300 KMs SE of Calgary. 50 1 N 110 7 W Milestones in the History of Remote Sensing 19 th century

More information

VHR Image Specifications for the CwRS Programme Campaign 2008

VHR Image Specifications for the CwRS Programme Campaign 2008 VHR Image Specifications for the CwRS Programme Campaign 2008 Pär-Johan Åstrand, Maria Erlandsson EUR 23404 EN - 2008 The Institute for the Protection and Security of the Citizen provides research-based,

More information

Lecture 6: Multispectral Earth Resource Satellites. The University at Albany Fall 2018 Geography and Planning

Lecture 6: Multispectral Earth Resource Satellites. The University at Albany Fall 2018 Geography and Planning Lecture 6: Multispectral Earth Resource Satellites The University at Albany Fall 2018 Geography and Planning Outline SPOT program and other moderate resolution systems High resolution satellite systems

More information

Introduction of Satellite Remote Sensing

Introduction of Satellite Remote Sensing Introduction of Satellite Remote Sensing Spatial Resolution (Pixel size) Spectral Resolution (Bands) Resolutions of Remote Sensing 1. Spatial (what area and how detailed) 2. Spectral (what colors bands)

More information

Landsat 8 Pansharpen and Mosaic Geomatica 2015 Tutorial

Landsat 8 Pansharpen and Mosaic Geomatica 2015 Tutorial Landsat 8 Pansharpen and Mosaic Geomatica 2015 Tutorial On February 11, 2013, Landsat 8 was launched adding to the constellation of Earth imaging satellites. It is the seventh satellite to reach orbit

More information

Introduction to Remote Sensing Fundamentals of Satellite Remote Sensing. Mads Olander Rasmussen

Introduction to Remote Sensing Fundamentals of Satellite Remote Sensing. Mads Olander Rasmussen Introduction to Remote Sensing Fundamentals of Satellite Remote Sensing Mads Olander Rasmussen (mora@dhi-gras.com) 01. Introduction to Remote Sensing DHI What is remote sensing? the art, science, and technology

More information

Imagery Archive Works

Imagery Archive Works USDA How Satellite the Imagery USDA s Archive Satellite Imagery Archive Works A. What is the USDA Satellite Imagery Archive? B. What are the benefits of participating in the USDA Archive? C. What types

More information

The studies began when the Tiros satellites (1960) provided man s first synoptic view of the Earth s weather systems.

The studies began when the Tiros satellites (1960) provided man s first synoptic view of the Earth s weather systems. Remote sensing of the Earth from orbital altitudes was recognized in the mid-1960 s as a potential technique for obtaining information important for the effective use and conservation of natural resources.

More information

INFORMATION CONTENT ANALYSIS FROM VERY HIGH RESOLUTION OPTICAL SPACE IMAGERY FOR UPDATING SPATIAL DATABASE

INFORMATION CONTENT ANALYSIS FROM VERY HIGH RESOLUTION OPTICAL SPACE IMAGERY FOR UPDATING SPATIAL DATABASE INFORMATION CONTENT ANALYSIS FROM VERY HIGH RESOLUTION OPTICAL SPACE IMAGERY FOR UPDATING SPATIAL DATABASE M. Alkan a, * a Department of Geomatics, Faculty of Civil Engineering, Yıldız Technical University,

More information

Croatian ideas on simplifying the CAP

Croatian ideas on simplifying the CAP PAYING AGENCY IN AGRICULTURE, FISHERIES AND RURAL DEVELOPMENT Croatian ideas on simplifying the CAP Karlo Banović, Sector for OTS control 2017 IACS Workshop, Ghent 30.5.2017 Contents Current use new technologies

More information

EVALUATION OF PLEIADES-1A TRIPLET ON TRENTO TESTFIELD

EVALUATION OF PLEIADES-1A TRIPLET ON TRENTO TESTFIELD EVALUATION OF PLEIADES-1A TRIPLET ON TRENTO TESTFIELD D. Poli a, F. Remondino b, E. Angiuli c, G. Agugiaro b a Terra Messflug GmbH, Austria b 3D Optical Metrology Unit, Fondazione Bruno Kessler, Trento,

More information

Satellite Data Requirements - Copernicus Security Requirements focused on Support to EU External Actions

Satellite Data Requirements - Copernicus Security Requirements focused on Support to EU External Actions European Union Satellite Centre Satellite Data Requirements - Copernicus Security Requirements focused on Support to EU External Actions Brussels, 17 May 2013 Gracia Joyanes Gracia.joyanes@satcen.europa.eu

More information

VHR image acquisition specifications for the CAP checks (CwRS and LPIS QA) - VHR profile-based specifications including VHR+ profiles.

VHR image acquisition specifications for the CAP checks (CwRS and LPIS QA) - VHR profile-based specifications including VHR+ profiles. JRC IES/H06/C/PAR/par D(2014)(17359) VHR image acquisition specifications for the CAP checks (CwRS and LPIS QA) - including VHR+ profiles Campaign 2015 Author: Pär Johan Åstrand Status: V7.4 Co-authors:

More information

Integrating Spaceborne Sensing with Airborne Maritime Surveillance Patrols

Integrating Spaceborne Sensing with Airborne Maritime Surveillance Patrols 22nd International Congress on Modelling and Simulation, Hobart, Tasmania, Australia, 3 to 8 December 2017 mssanz.org.au/modsim2017 Integrating Spaceborne Sensing with Airborne Maritime Surveillance Patrols

More information

NASA Missions and Products: Update. Garik Gutman, LCLUC Program Manager NASA Headquarters Washington, DC

NASA Missions and Products: Update. Garik Gutman, LCLUC Program Manager NASA Headquarters Washington, DC NASA Missions and Products: Update Garik Gutman, LCLUC Program Manager NASA Headquarters Washington, DC 1 JPSS-2 (NOAA) SLI-TBD Formulation in 2015 RBI OMPS-Limb [[TSIS-2]] [[TCTE]] Land Monitoring at

More information

EMSA Additional Dataset Status 31 st March 2015

EMSA Additional Dataset Status 31 st March 2015 EMSA Additional Dataset Status 31 st March 2015 DWH_MG2_EMSA_ADD_001a: _rush_optical_hr1... 2 DWH_MG2_EMSA_ADD_001b: _rush_optical_hr2... 3 DWH_MG2_EMSA_ADD_002a: ew acquisition_rush_optical_hr1... 4 DWH_MG2_EMSA_ADD_002b:

More information

Title of presentation runs here on two lines / Arial Regular 30 pt

Title of presentation runs here on two lines / Arial Regular 30 pt Title of presentation runs here on two lines / Arial Regular 30 pt Subtitle goes here / Arial Regular 20 pt Airbus Defense and Space Geo-Intelligence PIONEERING THE FUTURE TOGETHER Name Here / Arial Regular

More information

VHR image acquisition specifications for the CAP checks (CwRS and LPIS QA) - VHR profile-based specifications including VHR+ profiles

VHR image acquisition specifications for the CAP checks (CwRS and LPIS QA) - VHR profile-based specifications including VHR+ profiles JRC/IES/H06/2015/21449 VHR image acquisition specifications for the CAP checks (CwRS and LPIS QA) - including VHR+ profiles Campaign 2016 Text highlighted in YELLOW contains changes from 2015 Author: Pär

More information

VHR image acquisition specifications for the CAP checks (CwRS and LPIS QA) - VHR profile-based specifications including VHR+ profiles.

VHR image acquisition specifications for the CAP checks (CwRS and LPIS QA) - VHR profile-based specifications including VHR+ profiles. JRC/IES/H06/2015/21449 VHR image acquisition specifications for the CAP checks (CwRS and LPIS QA) - including VHR+ profiles Campaign 2016 Text highlighted in YELLOW contains changes from 2015 Author: Pär

More information

Application and potentials of RADAR and LiDAR technologies for forest carbon assessment in Pacific Island Countries

Application and potentials of RADAR and LiDAR technologies for forest carbon assessment in Pacific Island Countries Application and potentials of RADAR and LiDAR technologies for forest carbon assessment in Pacific Island Countries June 19th, 2012 PNGFA-JICA Workshop Masamichi HARAGUCHI (Kokusai Kogyo Co., Ltd.) Consultant

More information

Introduction to KOMPSAT

Introduction to KOMPSAT Introduction to KOMPSAT September, 2016 1 CONTENTS 01 Introduction of SIIS 02 KOMPSAT Constellation 03 New : KOMPSAT-3 50 cm 04 New : KOMPSAT-3A 2 KOMPSAT Constellation KOMPSAT series National space program

More information

EUROPEAN SPACE IMAGING: AERIAL PHOTOGRAPHY QUALITY FROM SPACE ALL TIME ALL CONTINENT

EUROPEAN SPACE IMAGING: AERIAL PHOTOGRAPHY QUALITY FROM SPACE ALL TIME ALL CONTINENT Senior Adviser to the European Space Imaging GmbH, Munich / Germany European Delegate of DDGI (German Geo-Information Umbrella Association) Member of the Executive Committee of EUROGI (European Umbrella

More information

Geometric Quality Testing of the WorldView-2 Image Data Acquired over the JRC Maussane Test Site using ERDAS LPS, PCI Geomatics and

Geometric Quality Testing of the WorldView-2 Image Data Acquired over the JRC Maussane Test Site using ERDAS LPS, PCI Geomatics and Geometric Quality Testing of the WorldView-2 Image Data Acquired over the JRC Maussane Test Site using ERDAS LPS, PCI Geomatics and Keystone digital photogrammetry software packages Inital Findings Joanna

More information

Planet Labs Inc 2017 Page 2

Planet Labs Inc 2017 Page 2 SKYSAT IMAGERY PRODUCT SPECIFICATION: ORTHO SCENE LAST UPDATED JUNE 2017 SALES@PLANET.COM PLANET.COM Disclaimer This document is designed as a general guideline for customers interested in acquiring Planet

More information

Some elements on On-The-Spot Checks (OTSC) and area measurement

Some elements on On-The-Spot Checks (OTSC) and area measurement Some elements on On-The-Spot Checks (OTSC) and area measurement DSCG/2014/32 FINAL Philippe LOUDJANI MARS (Monitoring Agricultural Resources) Unit DG Joint Research Centre Evidence-based scientific and

More information

PILOTING A DECISION SUPPORT TOOL (DST) FOR MAPPING CYANOBACTERIAL HARMFUL ALGAL BLOOMS (CHABS) TO SUPPORT PUBLIC HEALTH AND RESOURCE MANAGEMENT.

PILOTING A DECISION SUPPORT TOOL (DST) FOR MAPPING CYANOBACTERIAL HARMFUL ALGAL BLOOMS (CHABS) TO SUPPORT PUBLIC HEALTH AND RESOURCE MANAGEMENT. PILOTING A DECISION SUPPORT TOOL (DST) FOR MAPPING CYANOBACTERIAL HARMFUL ALGAL BLOOMS (CHABS) TO SUPPORT PUBLIC HEALTH AND RESOURCE MANAGEMENT. Nathan Torbick, Applied Geosolutions Scott Stoodley, Director,

More information

HARRIS GEOSPATIAL MARKETPLACE. HarrisGeospatial.com

HARRIS GEOSPATIAL MARKETPLACE. HarrisGeospatial.com HARRIS GEOSPATIAL MARKETPLACE HarrisGeospatial.com Satellite image of Washington, D.C. Image courtesy of DigitalGlobe GET IT ALL IN ONE PLACE Data for Any Project Map Products Vis/Sim Products Geospatial

More information

DIGITALGLOBE SATELLITE IMAGERY AND CLOUD SERVICES FOR SUGARCANE MAPPING

DIGITALGLOBE SATELLITE IMAGERY AND CLOUD SERVICES FOR SUGARCANE MAPPING DIGITALGLOBE SATELLITE IMAGERY AND CLOUD SERVICES FOR SUGARCANE MAPPING PRESENTER: DILLON PANIZZOLO (TECHNICAL MANAGER) COMPANY: GEO DATA DESIGN DATE: 18 TH AUGUST 2015 SASTA Congress Sugar Cane Mapping

More information

Advanced Techniques in Urban Remote Sensing

Advanced Techniques in Urban Remote Sensing Advanced Techniques in Urban Remote Sensing Manfred Ehlers Institute for Geoinformatics and Remote Sensing (IGF) University of Osnabrueck, Germany mehlers@igf.uni-osnabrueck.de Contents Urban Remote Sensing:

More information

Satellite data processing and analysis: Examples and practical considerations

Satellite data processing and analysis: Examples and practical considerations Satellite data processing and analysis: Examples and practical considerations Dániel Kristóf Ottó Petrik, Róbert Pataki, András Kolesár International LCLUC Regional Science Meeting in Central Europe Sopron,

More information

CHARACTERISTICS OF REMOTELY SENSED IMAGERY. Spatial Resolution

CHARACTERISTICS OF REMOTELY SENSED IMAGERY. Spatial Resolution CHARACTERISTICS OF REMOTELY SENSED IMAGERY Spatial Resolution There are a number of ways in which images can differ. One set of important differences relate to the various resolutions that images express.

More information

TechTime New Mapping Tools for Transportation Engineering

TechTime New Mapping Tools for Transportation Engineering GeoEye-1 Stereo Satellite Imagery Presented by Karl Kliparchuk, M.Sc., GISP kkliparchuk@mcelhanney.com 604-683-8521 All satellite imagery are copyright GeoEye Corp GeoEye-1 About GeoEye Corp Headquarters:

More information

Operational Space-Based Imaging Systems

Operational Space-Based Imaging Systems Operational Space-Based Imaging Systems R E M O T E S E N S I N G & G E O S PAT I A L A N A LY S I S L A B D O I : 2 0 A U G U S T, 2 0 1 6 Earth Observation Systems U.S. or foreign government systems

More information

Debris Detection: Background, Efforts, & Lessons Learned. Peter Murphy Alaska Coordinator / Detection Lead NOAA Marine Debris Program

Debris Detection: Background, Efforts, & Lessons Learned. Peter Murphy Alaska Coordinator / Detection Lead NOAA Marine Debris Program Debris Detection: Background, Efforts, & Lessons Learned Peter Murphy Alaska Coordinator / Detection Lead NOAA Marine Debris Program Outline Marine Debris Issue Types Distribution Impacts NOAA Marine Debris

More information

Application of Satellite Remote Sensing for Natural Disasters Observation

Application of Satellite Remote Sensing for Natural Disasters Observation Application of Satellite Remote Sensing for Natural Disasters Observation Prof. Krištof Oštir, Ph.D. University of Ljubljana Faculty of Civil and Geodetic Engineering Outline Earth observation current

More information

Rapideye (2008 -> ) Not just another high resolution satellite sensor. 5 satellites RapidEye constellation. 5 million km² daily collection capacity

Rapideye (2008 -> ) Not just another high resolution satellite sensor. 5 satellites RapidEye constellation. 5 million km² daily collection capacity Rapideye (2008 -> ) Not just another high resolution satellite sensor 5 satellites RapidEye constellation 5 million km² daily collection capacity Price: $1.40 / sq km ($2.50 rectified) Orbit: http://www.youtube.com/watch?feature=player_embedded&v=ovpulctoqgs

More information

ROLE OF SATELLITE DATA APPLICATION IN CADASTRAL MAP AND DIGITIZATION OF LAND RECORDS DR.T. RAVISANKAR GROUP HEAD (LRUMG) RSAA/NRSC/ISRO /DOS HYDERABAD

ROLE OF SATELLITE DATA APPLICATION IN CADASTRAL MAP AND DIGITIZATION OF LAND RECORDS DR.T. RAVISANKAR GROUP HEAD (LRUMG) RSAA/NRSC/ISRO /DOS HYDERABAD ROLE OF SATELLITE DATA APPLICATION IN CADASTRAL MAP AND DIGITIZATION OF LAND RECORDS DR.T. RAVISANKAR GROUP HEAD (LRUMG) RSAA/NRSC/ISRO /DOS HYDERABAD WORKSHOP on Best Practices under National Land Records

More information

Andrea Baraldi, Luigi Boschetti and Chris Justice. University of Maryland, Dept. of Geographical Sciences, College Park, MD 20740, USA

Andrea Baraldi, Luigi Boschetti and Chris Justice. University of Maryland, Dept. of Geographical Sciences, College Park, MD 20740, USA Potential for automatic near realtime preliminary classification of Sentinel-2 (and Sentinel-3) imagery using the Satellite Image Automatic Mapper (SIAM ) Andrea Baraldi, Luigi Boschetti and Chris Justice

More information

DEM GENERATION WITH WORLDVIEW-2 IMAGES

DEM GENERATION WITH WORLDVIEW-2 IMAGES DEM GENERATION WITH WORLDVIEW-2 IMAGES G. Büyüksalih a, I. Baz a, M. Alkan b, K. Jacobsen c a BIMTAS, Istanbul, Turkey - (gbuyuksalih, ibaz-imp)@yahoo.com b Zonguldak Karaelmas University, Zonguldak, Turkey

More information

Standing Up NAIP and Landsat Image Services as a Processing Resource. Andrew Leason

Standing Up NAIP and Landsat Image Services as a Processing Resource. Andrew Leason Standing Up NAIP and Landsat Image Services as a Processing Resource Andrew Leason NAIP and Landsat services Differences Different general uses - Landsat - Available from USGS - Designed as an analytical

More information

TESTFIELD TRENTO: GEOMETRIC EVALUATION OF VERY HIGH RESOLUTION SATELLITE IMAGERY

TESTFIELD TRENTO: GEOMETRIC EVALUATION OF VERY HIGH RESOLUTION SATELLITE IMAGERY TESTFIELD TRENTO: GEOMETRIC EVALUATION OF VERY HIGH RESOLUTION SATELLITE IMAGERY G. AGUGIAROa, D. POLIb, F. REMONDINOa, 3DOM, 3D Optical Metrology Unit Bruno Kessler Foundation, Trento, Italy a b Vermessung

More information

Satellite Ortho Suite

Satellite Ortho Suite Technical Specifications Satellite Ortho Suite The Satellite Ortho Suite includes rigorous and rational function models developed to compensate for distortions and produce orthorectified satellite images

More information

Topographic mapping from space K. Jacobsen*, G. Büyüksalih**

Topographic mapping from space K. Jacobsen*, G. Büyüksalih** Topographic mapping from space K. Jacobsen*, G. Büyüksalih** * Institute of Photogrammetry and Geoinformation, Leibniz University Hannover ** BIMTAS, Altunizade-Istanbul, Turkey KEYWORDS: WorldView-1,

More information

UNOSAT Satellite Imagery and GIS Solutions for DRR and Emergency Management

UNOSAT Satellite Imagery and GIS Solutions for DRR and Emergency Management UNOSAT Satellite Imagery and GIS Solutions for DRR and Emergency Management Francesco Pisano Director, Research, Technology Applications & Knowledge Systems January 2013 Introduction to UNOSAT 2 About

More information

DLR contribution and perspectives for JECAM

DLR contribution and perspectives for JECAM DLR contribution and perspectives for JECAM Dr. Helmut Staudenrausch 1, Dr. Achim Roth 2 1 DLR Space Administration, Earth Observations helmut.staudenrausch@dlr.de 2 DLR, German Remote Sensing Data Center

More information

GEOSPATIAL CLOUD COMPUTING SOLUTION APPLIED TO NEW CALEDONIA FOREST MONITORING

GEOSPATIAL CLOUD COMPUTING SOLUTION APPLIED TO NEW CALEDONIA FOREST MONITORING GEOSPATIAL CLOUD COMPUTING SOLUTION APPLIED TO NEW CALEDONIA FOREST MONITORING Worldview-3 30 cm Forgotten Coast New Caledonia DigitalGLobe 2016, Distribution and processing BLUECHAM SAS BLUECHAM SAS 101

More information

Geomatica OrthoEngine v10.2 Tutorial DEM Extraction of GeoEye-1 Data

Geomatica OrthoEngine v10.2 Tutorial DEM Extraction of GeoEye-1 Data Geomatica OrthoEngine v10.2 Tutorial DEM Extraction of GeoEye-1 Data GeoEye 1, launched on September 06, 2008 is the highest resolution commercial earth imaging satellite available till date. GeoEye-1

More information

Tutorial 10 Information extraction from high resolution optical satellite sensors

Tutorial 10 Information extraction from high resolution optical satellite sensors Tutorial 10 Information extraction from high resolution optical satellite sensors Karsten Jacobsen 1, Emmanuel Baltsavias 2, David Holland 3 1 University of, Nienburger Strasse 1, D-30167, Germany, jacobsen@ipi.uni-hannover.de

More information

CURRENT SCENARIO AND CHALLENGES IN THE ANALYSIS OF MULTITEMPORAL REMOTE SENSING IMAGES

CURRENT SCENARIO AND CHALLENGES IN THE ANALYSIS OF MULTITEMPORAL REMOTE SENSING IMAGES Remote Sensing Laboratory Dept. of Information Engineering and Computer Science University of Trento Via Sommarive, 14, I-38123 Povo, Trento, Italy CURRENT SCENARIO AND CHALLENGES IN THE ANALYSIS OF MULTITEMPORAL

More information

JECAM Guidelines: Definition of the Minimum Earth Observation Dataset Requirements

JECAM Guidelines: Definition of the Minimum Earth Observation Dataset Requirements JECAM Guidelines: Definition of the Minimum Earth Observation Dataset Requirements This document is version 1.0 of the JECAM minimum dataset requirements. It has been prepared based on 20 JECAM site reports,

More information

Monitoring Natural Disasters with Small Satellites Smart Satellite Based Geospatial System for Environmental Protection

Monitoring Natural Disasters with Small Satellites Smart Satellite Based Geospatial System for Environmental Protection Monitoring Natural Disasters with Small Satellites Smart Satellite Based Geospatial System for Environmental Protection Krištof Oštir, Space-SI, Slovenia Contents Natural and technological disasters Current

More information

Can Satellite Image Analysis Replace Manual Digitization?

Can Satellite Image Analysis Replace Manual Digitization? Can Satellite Image Analysis Replace Manual Digitization? GeoDATA London 30 th Nov 2017 LUCY KENNEDY Spottitt CEO Lucy.Kennedy@spottitt.com +44 772 594 4643 Agenda Why develop processes and services based

More information

Grant Boxer Consultant Geologist March 10th 2014 (Updated Nov 2014)

Grant Boxer Consultant Geologist March 10th 2014 (Updated Nov 2014) Grant Boxer Consultant Geologist March 10th 2014 (Updated Nov 2014) Work flow for Landsat 8 Landgate Data Selecting and processing basic data Importing into MapInfo Applications SLIP Portal WMS access

More information

Airbus Airbus Defence and Space - Intelligence. Price List North America

Airbus Airbus Defence and Space - Intelligence. Price List North America Airbus Airbus Defence and Space - Intelligence Price List North America Effective: January 1, 2018 Pléiades and SPOT 1-7 Archive Prices are per square kilometer. Prices and minimum order size apply for

More information

FOR CWRS ACCORDING TO THE COUNCIL REGULATION (EC) 1306/2013 (ARTICLES 6(B),

FOR CWRS ACCORDING TO THE COUNCIL REGULATION (EC) 1306/2013 (ARTICLES 6(B), JRC/D.5/2017/22345 TECHNICAL GUIDANCE FOR CWRS ACCORDING TO THE COUNCIL REGULATION (EC) 1306/2013 (ARTICLES 6(B), 21) AND ITS IMPLEMENTING REGULATIONS NO. 908/2014 (ARTICLE 26), NO. 809/2014 (ARTICLES

More information

Introduction to Satellite Remote Sensing

Introduction to Satellite Remote Sensing Introduction to Satellite Remote Sensing Remote sensing of the Earth from orbital altitudes was recognized in the mid-1960 s as a potential technique for obtaining information important for the effective

More information

Managing Imagery and Raster Data. Peter Becker

Managing Imagery and Raster Data. Peter Becker Managing Imagery and Raster Data Peter Becker ArcGIS is a Comprehensive Imagery Platform Empowering you to make informed decisions System of Engagement System of Insight Extract Information from Imagery

More information

The use of satellite images to forecast agricultural

The use of satellite images to forecast agricultural The use of satellite images to forecast agricultural Luxembourg, 12.03.2014 r. Tomasz Milewski NUTS for Poland: NUTS 1 macro-regions (grup of province, voivodships) (6), NUTS 2 - regions (province,

More information

IACS Conference Ghent May Looking back on a season of workshops and meetings on RS

IACS Conference Ghent May Looking back on a season of workshops and meetings on RS IACS Conference Ghent 29-31 May 2017 Looking back on a season of workshops and meetings on RS Looking back at a season full of RS activities Prague Brussels Amsterdam Learning Network Panta Rhei Malta

More information

GXL-Satellite Mosaic Preparation. Training Guide

GXL-Satellite Mosaic Preparation. Training Guide GXL-Satellite Mosaic Preparation Training Guide Version 1.0 June 20, 2016 Copyright notice 2011 PCI Geomatics Enterprises, Inc. All rights reserved. Software copyrighted by: PCI Geomatics Enterprises,

More information

The Most Suitable Sizes Of Ground Control Points (Gcps) For World View2

The Most Suitable Sizes Of Ground Control Points (Gcps) For World View2 The Most Suitable Sizes Of Ground Control Points (Gcps) For World View2 Dr. O. Mutluoglu Dr.M. Yakar Dr. H.M. Yilmaz 1 INTRODUCTION High resolution satellite images, (less than 1 m. Resolution) are used

More information

An alternative approach to data fusion in remote sensing

An alternative approach to data fusion in remote sensing Proceedings of the 7 th International Conference on Applied Informatics Eger, Hungary, January 28 31, 2007. Vol. 2. pp. 391 401. An alternative approach to data fusion in remote sensing István László ab,

More information

Module 11 Digital image processing

Module 11 Digital image processing Introduction Geo-Information Science Practical Manual Module 11 Digital image processing 11. INTRODUCTION 11-1 START THE PROGRAM ERDAS IMAGINE 11-2 PART 1: DISPLAYING AN IMAGE DATA FILE 11-3 Display of

More information

HIGH RESOLUTION IMAGERY FOR MAPPING AND LANDSCAPE MONITORING

HIGH RESOLUTION IMAGERY FOR MAPPING AND LANDSCAPE MONITORING HIGH RESOLUTION IMAGERY FOR MAPPING AND LANDSCAPE MONITORING Karsten Jacobsen Leibniz University Hannover, Institute of Photogrammetry and Geoinformation Nienburger Str. 1, 30165 Hannover, Germany, jacobsen@ipi.uni-hannover.de

More information

Automated Damage Analysis from Overhead Imagery

Automated Damage Analysis from Overhead Imagery Automated Damage Analysis from Overhead Imagery EVAN JONES ANDRE COLEMAN SHARI MATZNER Pacific Northwest National Laboratory 1 PNNL FY2015 at a Glance $955 million in R&D expenditures 4,400 scientists,

More information

The Utility and Limitations of Remote Sensing in Land Use Change Detection and Conservation Planning

The Utility and Limitations of Remote Sensing in Land Use Change Detection and Conservation Planning The Utility and Limitations of Remote Sensing in Land Use Change Detection and Conservation Planning Steffen Mueller, PhD, Principal Economist Ken Copenhaver, CropGrower LLC Presentation to: US Environmental

More information

MULTIRESOLUTION SPOT-5 DATA FOR BOREAL FOREST MONITORING

MULTIRESOLUTION SPOT-5 DATA FOR BOREAL FOREST MONITORING MULTIRESOLUTION SPOT-5 DATA FOR BOREAL FOREST MONITORING M. G. Rosengren, E. Willén Metria Miljöanalys, P.O. Box 24154, SE-104 51 Stockholm, Sweden - (mats.rosengren, erik.willen)@lm.se KEY WORDS: Remote

More information

Inter-Calibration of the RapidEye Sensors with Landsat 8, Sentinel and SPOT

Inter-Calibration of the RapidEye Sensors with Landsat 8, Sentinel and SPOT Inter-Calibration of the RapidEye Sensors with Landsat 8, Sentinel and SPOT Dr. Andreas Brunn, Dr. Horst Weichelt, Dr. Rene Griesbach, Dr. Pablo Rosso Content About Planet Project Context (Purpose and

More information

NORMALIZING ASTER DATA USING MODIS PRODUCTS FOR LAND COVER CLASSIFICATION

NORMALIZING ASTER DATA USING MODIS PRODUCTS FOR LAND COVER CLASSIFICATION NORMALIZING ASTER DATA USING MODIS PRODUCTS FOR LAND COVER CLASSIFICATION F. Gao a, b, *, J. G. Masek a a Biospheric Sciences Branch, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA b Earth

More information

Not just another high resolution satellite sensor

Not just another high resolution satellite sensor Global Forest Change Published by Hansen, Potapov, Moore, Hancher et al. http://earthenginepartners.appspot.com/science-2013-global-forest Rapideye Not just another high resolution satellite sensor 5 satellites

More information

New sensors benchmark report on Sentinel-2B

New sensors benchmark report on Sentinel-2B New sensors benchmark report on Sentinel-2B Geometric benchmarking test for CAP purposes Blanka Vajsova Pär Johan Åstrand 2017 EUR 28760 EN This publication is a Technical report by the Joint Research

More information

Remote sensing in archaeology from optical to lidar. Krištof Oštir ModeLTER Scientific Research Centre of the Slovenian Academy of Sciences and Arts

Remote sensing in archaeology from optical to lidar. Krištof Oštir ModeLTER Scientific Research Centre of the Slovenian Academy of Sciences and Arts Remote sensing in archaeology from optical to lidar Krištof Oštir ModeLTER Scientific Research Centre of the Slovenian Academy of Sciences and Arts Introduction Optical remote sensing Systems Search for

More information

Module 3 Introduction to GIS. Lecture 8 GIS data acquisition

Module 3 Introduction to GIS. Lecture 8 GIS data acquisition Module 3 Introduction to GIS Lecture 8 GIS data acquisition GIS workflow Data acquisition (geospatial data input) GPS Remote sensing (satellites, UAV s) LiDAR Digitized maps Attribute Data Management Data

More information

Use of Remote Sensing to Characterize Impervious Cover in Stormwater Impaired Watersheds

Use of Remote Sensing to Characterize Impervious Cover in Stormwater Impaired Watersheds University of Massachusetts Amherst ScholarWorks@UMass Amherst Water Resources Research Center Conferences Water Resources Research Center 4-9-2007 Use of Remote Sensing to Characterize Impervious Cover

More information

REMOTE SENSING FOR FLOOD HAZARD STUDIES.

REMOTE SENSING FOR FLOOD HAZARD STUDIES. REMOTE SENSING FOR FLOOD HAZARD STUDIES. OPTICAL SENSORS. 1 DRS. NANETTE C. KINGMA 1 Optical Remote Sensing for flood hazard studies. 2 2 Floods & use of remote sensing. Floods often leaves its imprint

More information

Abstract Quickbird Vs Aerial photos in identifying man-made objects

Abstract Quickbird Vs Aerial photos in identifying man-made objects Abstract Quickbird Vs Aerial s in identifying man-made objects Abdullah Mah abdullah.mah@aramco.com Remote Sensing Group, emap Division Integrated Solutions Services Department (ISSD) Saudi Aramco, Dhahran

More information

CanImage. (Landsat 7 Orthoimages at the 1: Scale) Standards and Specifications Edition 1.0

CanImage. (Landsat 7 Orthoimages at the 1: Scale) Standards and Specifications Edition 1.0 CanImage (Landsat 7 Orthoimages at the 1:50 000 Scale) Standards and Specifications Edition 1.0 Centre for Topographic Information Customer Support Group 2144 King Street West, Suite 010 Sherbrooke, QC

More information

The Normal Baseline. Dick Gent Law of the Sea Division UK Hydrographic Office

The Normal Baseline. Dick Gent Law of the Sea Division UK Hydrographic Office The Normal Baseline Dick Gent Law of the Sea Division UK Hydrographic Office 2 The normal baseline for measuring the breadth of the territorial sea is the low water line along the coast as marked on large

More information

MSB Imagery Program FAQ v1

MSB Imagery Program FAQ v1 MSB Imagery Program FAQ v1 (F)requently (A)sked (Q)uestions 9/22/2016 This document is intended to answer commonly asked questions related to the MSB Recurring Aerial Imagery Program. Table of Contents

More information

Evaluation of FLAASH atmospheric correction. Note. Note no SAMBA/10/12. Authors. Øystein Rudjord and Øivind Due Trier

Evaluation of FLAASH atmospheric correction. Note. Note no SAMBA/10/12. Authors. Øystein Rudjord and Øivind Due Trier Evaluation of FLAASH atmospheric correction Note Note no Authors SAMBA/10/12 Øystein Rudjord and Øivind Due Trier Date 16 February 2012 Norsk Regnesentral Norsk Regnesentral (Norwegian Computing Center,

More information

Earth Observations from Space U.S. Geological Survey

Earth Observations from Space U.S. Geological Survey Earth Observations from Space U.S. Geological Survey Geography Land Remote Sensing Program Dr. Bryant Cramer April 1, 2009 U.S. Department of the Interior U.S. Geological Survey USGS Landsat Historical

More information

Sources of Geographic Information

Sources of Geographic Information Sources of Geographic Information Data properties: Spatial data, i.e. data that are associated with geographic locations Data format: digital (analog data for traditional paper maps) Data Inputs: sampled

More information

Remote sensing in FIGARO

Remote sensing in FIGARO FIGARO FLEXIBLE AND PRECISE IRRIGATION PLATFORM TO IMPROVE FARM SCALE WATER PRODUCTIVITY Remote sensing in FIGARO Final Meeting, Brussels 19/09/2016 Technical University of Valencia Use of Remote sensing

More information