Discussions around the different methodologies and consensus for a regional monitoring

Size: px
Start display at page:

Download "Discussions around the different methodologies and consensus for a regional monitoring"

Transcription

1 Discussions around the different methodologies and consensus for a regional monitoring Update of the WWF study - First training session Novembre 2014 Cayenne Gaëlle VERGER

2 Discussions around the different methodologies and consensus for a regional monitoring 1- Dates 2- Data sources 3- Georeferency and projection system 4- Clouds 5- Objects to numerize 6- Processing Update of the WWF study - First training session Novembre 2014 Cayenne Gaëlle VERGER

3 Dates It depends on the availability of images : 3rd period : As the first study was since 2000 to 2007,it could be interesting to produce this study around Thus, we will can calculate regional dynamics on the Guiana Shield -> Priority for 2014 images, then 2013 images, then 2012 images (additionnal SPOT 4 images)

4 Discussions around the different methodologies and consensus for a regional monitoring 1- Dates 2- Data sources 3- Georeferency and projection system 4- Clouds 5- Objects to numerize 6- Processing Update of the WWF study - First training session Novembre 2014 Cayenne Gaëlle VERGER

5 Data sources -> To detect impacted surfaces (from gold mining/infrastructures) * Focus SPOT 5 as best resolved (10m in colors) ; then SPOT 4 (20m in colours same bands). ->Level 2A -> Focus on <20% clouds then <40%, then <60%, no more 60 %. -> Angle 30 -> The operability depends on the repartition and density on the clouds. -> Haze is a problem but not everytime ; it depends on the density of haze. -> Quickview * Landsat 8 (30m) to complete if there are too many clouds * SPOT 6 (6m in colors) : 1-2 images / country for validation -> To detect impacted river network : SRTM 30

6 Data sources

7 Discussions around the different methodologies and consensus for a regional monitoring 1- Dates 2- Data sources 3- Georeferency and projection system 4- Clouds 5- Objects to numerize 6- Processing Update of the WWF study - First training session Novembre 2014 Cayenne Gaëlle VERGER

8 Georeferency and projections systems * The area study is cover by 3 projection systems :WGS 84 UTM N. * The geographic referential of the project is the last shape of deforestation (existing in the 3 projections systems : WGS84 UTM ) -> if there is a shift between satellite image and the shape, the reference is the shape. -> Each technician will digitalyse in his country / satellite image projection and then ONF-G assemble in one shapefile : WGS 84 EPSG

9 Discussions around the different methodologies and consensus for a regional monitoring 1- Dates 2- Data sources 3- Georeferency and projection system 4- Clouds 5- Objects to numerize 6- Processing Update of the WWF study - First training session Novembre 2014 Cayenne Gaëlle VERGER

10 Clouds * In the last study: If there are clouds everywhere -> no data * If there are clouds in over a gold mining site of 2007 on all SPOT images : -> Proposal : Landsat image -> If there are clouds on the landsat image -> no update -> remark in the attribut data (cloud). * How to do with the area with clouds? -> Proposal : mosaic / percentage of cloud cover

11 Discussions around the different methodologies and consensus for a regional monitoring 1- Dates 2- Data sources 3- Georeferency and projection system 4- Clouds 5- Objects to numerize 6- Processing Update of the WWF study - First training session Novembre 2014 Cayenne Gaëlle VERGER

12 LANDSAT Impacted area

13 Impacted linear

14 Differents types of infrastructures : On a satellite image

15 Objects to numerize * For gold mining activities : -> it s an update -> we have to follow the last methodology: 2 objets : -> Mining sites (alluvial or primary) -> Impacted network * For infrastructures -> it s new -> we have to create the methodology but the ToR says : -> Roads -> Settlements -> Roads : -> How wide? (in F.G > 50 m for roads ans associated surfaces) -> Proposal : 50 m -> Settlements : -> Wich type of settlements? Towns? Villages? Isolated habitat? Industrial area? -> With SPOT 5 it s difficult to disciminate other that towns and roads except with additionnal data like land use data) -> Proposal : 1 Shape with predefined list with choices : road / settlement (no agriculture). * Roads and settlements in mining site? Classified in Gold mining or settlements? -> Proposal : classified in infrastructures to not have confusion.

16 Discussions around the different methodologies and consensus for a regional monitoring 1- Dates 2- Data sources 3- Georeferency and projection system 4- Clouds 5- Objects to numerize 6- Processing Update of the WWF study - First training session Novembre 2014 Cayenne Gaëlle VERGER

17 Processing 1- Automatic or manual? With the return of experience of the first study, the automatic procedure is not very interesting. Too much time is lost to clean artifacts (especially clouds) and then check and rescan the impacted areas. -> Proposal : Manual photo-interpretation and update from the last shapes : deforested surface / impacted network. 2- What is the Minimum Map Unit? Guyana Countries Minimum Map Unit 1 ha Rapid Eye (5m) Suriname 1 ha (Landsat 30 m) Amapa 1 ha (Landsat 30 m) French Guiana 0.5 ha (SPOT 10m) -> Proposal : Minimum Map Unit : 0.5 ha

18 Processing 3- Scale of numerization? -> Scale of numerization : 1/5000 in the last study -> It s better to conserve the same level of details. -> The data have the same resolution -> Proposal : 1/ How do digitalize objects? -> "Real" False colors display : SWIR, Green, Red -> Infrared false colors display : NIR, Red, Green -> possibility to do contrast and histogramm adjustements -> closer limits of deforestation

19 5 Misclassified or not classified object in the previous study? -> Errors can be corrected retrospectively -> Objects not classified in the previous study can be classified for this update. 6 Help for the photo-interpretation 2 options : - each country with just satllite images and previous shape - each country with his local shapes, even if it could begin a bit incoherent between countries -> Proposal : - each country with his local shapes 7 Wich type of ancillary data? -> mining activities -> shape of land use -> shape of geology -> mining concessions -> local geographic referential -> fields data -> protected areas Processing

20 Discussions around the different methodologies and consensus for a regional monitoring 1- Dates 2- Data sources 3- Georeferency and projection system 4- Clouds 5- Objects to numerize 6- Processing 7- Validation Update of the WWF study - First training session Novembre 2014 Cayenne Gaëlle VERGER

21 Validation Internal control -> Proposal : some areas can be verified by the other operator -> SPOT 6 control * Regional control -> Delivery of initermediate processing results at the end of february -> 1 ONF technician is on 1 mission / country in march * External control -> ONFI

22 Discussions around the different methodologies and consensus for a regional monitoring Update of the WWF study - First training session Novembre 2014 Cayenne Gaëlle VERGER

REDD+ FOR THE GUIANA SHIELD Technical Cooperation Project

REDD+ FOR THE GUIANA SHIELD Technical Cooperation Project REDD+ FOR THE GUIANA SHIELD Technical Cooperation Project REDD+ for the Guiana Shield Mathieu Rahm, ONF international Impact of Gold mining training session, 24-28 November 2014 Cayenne French Guiana Methodology

More information

REDD+ FOR THE GUIANA SHIELD Technical Cooperation Project

REDD+ FOR THE GUIANA SHIELD Technical Cooperation Project REDD+ FOR THE GUIANA SHIELD Technical Cooperation Project REDD+ for the Guiana Shield Mathieu Rahm, ONF international Impact of Gold mining training session, 24-28 November 2014 Cayenne French Guiana Methodology

More information

GEOBIA for ArcGIS (presentation) Jacek Urbanski

GEOBIA for ArcGIS (presentation) Jacek Urbanski GEOBIA for ArcGIS (presentation) Jacek Urbanski INTEGRATION OF GEOBIA WITH GIS FOR SEMI-AUTOMATIC LAND COVER MAPPING FROM LANDSAT 8 IMAGERY Presented at 5th GEOBIA conference 21 24 May in Thessaloniki.

More information

CROP MAPPING WITH SENTINEL-2 JULY 2017, SPAIN

CROP MAPPING WITH SENTINEL-2 JULY 2017, SPAIN _p TRAINING KIT LAND01 CROP MAPPING WITH SENTINEL-2 JULY 2017, SPAIN Table of Contents 1 Introduction to RUS... 3 2 Crop mapping background... 3 3 Training... 3 3.1 Data used... 3 3.2 Software in RUS environment...

More information

Classify Multi-Spectral Data Classify Geologic Terrains on Venus Apply Multi-Variate Statistics

Classify Multi-Spectral Data Classify Geologic Terrains on Venus Apply Multi-Variate Statistics Classify Multi-Spectral Data Classify Geologic Terrains on Venus Apply Multi-Variate Statistics Operations What Do I Need? Classify Merge Combine Cross Scan Score Warp Respace Cover Subscene Rotate Translators

More information

OPERATIONAL SHIP DETECTION & RAPID URBAN MAPPING : EXPLORING DIVERSE METHODOLOGICAL APPROACHES IN OBJECT RECOGNTION AND SATELLITE IMAGE CLASSIFICATION

OPERATIONAL SHIP DETECTION & RAPID URBAN MAPPING : EXPLORING DIVERSE METHODOLOGICAL APPROACHES IN OBJECT RECOGNTION AND SATELLITE IMAGE CLASSIFICATION Journées ORFEO Méthodo 10-11 Janvier 2008 OPERATIONAL SHIP DETECTION & RAPID URBAN MAPPING : EXPLORING DIVERSE METHODOLOGICAL APPROACHES IN OBJECT RECOGNTION AND SATELLITE IMAGE CLASSIFICATION Michel Petit,

More information

Government of Alberta. Find Your Farm. Alberta Soil Information Viewer. Alberta Agriculture and Forestry [Date]

Government of Alberta. Find Your Farm. Alberta Soil Information Viewer. Alberta Agriculture and Forestry [Date] Government of Alberta Find Your Farm Alberta Soil Information Viewer Alberta Agriculture and Forestry [Date] Contents Definitions... 1 Getting Started... 2 Area of Interest... 3 Search and Zoom... 4 By

More information

Classification of vegetation types with Sentinel-1 radar data C

Classification of vegetation types with Sentinel-1 radar data C Classification of vegetation types with Sentinel-1 radar data C Pierre-Louis FRISON (UPEM / IGN) Cédric Lardeux (ONFI) pierre-louis.frison@u-pem.fr cedric.lardeux@onfinternational.com This document is

More information

Main concepts of ILWIS 3.0

Main concepts of ILWIS 3.0 CHAPTER 2 Main concepts of ILWIS 3.0 In chapter one, Introduction to ILWIS, you started with ILWIS, and learned the basics of the user interface. This chapter presents some key concepts of ILWIS. In section

More information

AN INTEGRATED APPROACH TO AGRICULTURAL CROP CLASSIFICATION USING SPOT5 HRV IMAGES

AN INTEGRATED APPROACH TO AGRICULTURAL CROP CLASSIFICATION USING SPOT5 HRV IMAGES AN INTEGRATED APPROACH TO AGRICULTURAL CROP CLASSIFICATION USING SPOT5 HRV IMAGES Chang Yi 1 1,2,*, Yaozhong Pan 1, 2, Jinshui Zhang 1, 2 College of Resources Science and Technology, Beijing Normal University,

More information

Glacier Mapping and Monitoring

Glacier Mapping and Monitoring Glacier Mapping and Monitoring Exercises Tobias Bolch Universität Zürich TU Dresden tobias.bolch@geo.uzh.ch Exercise 1: Visualizing multi-spectral images with Erdas Imagine 2011 a) View raster data: Open

More information

Geoapplications development Control work 1 (2017, Fall)

Geoapplications development Control work 1 (2017, Fall) Page 1 Geoapplications development Control work 1 (2017, Fall) Author: Antonio Rodriges, Oct. 2017 http://rgeo.wikience.org/ Surname, name, patronymic: Group: Date: Signature: Select all correct statements.

More information

FIELD-BASED CLASSIFICATION OF AGRICULTURAL CROPS USING MULTI-SCALE IMAGES

FIELD-BASED CLASSIFICATION OF AGRICULTURAL CROPS USING MULTI-SCALE IMAGES FIELD-BASED CLASSIFICATION OF AGRICULTURAL CROPS USING MULTI-SCALE IMAGES A. OZDARICI a, M. TURKER b a Middle East Technical University (METU), Graduate School of Natural and Applied Sciences, Geodetic

More information

Land Cover Classification Techniques

Land Cover Classification Techniques Land Cover Classification Techniques supervised classification and random forests Developed by remote sensing specialists at the USFS Geospatial Technology and Applications Center (GTAC), located in Salt

More information

Overview of the GMES Space Component & DMC as a GMES Contributing Mission

Overview of the GMES Space Component & DMC as a GMES Contributing Mission Overview of the GMES Space Component & DMC as a GMES Contributing Mission Eleni Paliouras GMES Space Office, Directorate of Earth Observation, ESA DMC Consortium Meeting, London 16/02/2011 ESA UNCLASSIFIED

More information

Bosnia Herzegovina: Geological Resources Digitization of Hardcopy Maps and Data Catalogue Simon Neal Dr. Emlyn Hagen

Bosnia Herzegovina: Geological Resources Digitization of Hardcopy Maps and Data Catalogue Simon Neal Dr. Emlyn Hagen Bosnia Herzegovina: Geological Resources Digitization of Hardcopy Maps and Data Catalogue 1 CLASSIFIED 27.07.2011 Simon Neal Dr. Emlyn Hagen Goal Gather available data for exploration in BiH Convert hardcopy

More information

ArcGIS for Server Imagery Update. Cody A. Benkelman Technical Product Manager, Imagery

ArcGIS for Server Imagery Update. Cody A. Benkelman Technical Product Manager, Imagery ArcGIS for Server Imagery Update Cody A. Benkelman Technical Product Manager, Imagery Outline Mosaic dataset Management and dissemination of imagery - Dynamic image services, Tiled Cache Visualization

More information

About the Land Image Analyst project Land Image Analyst was developed by GDA Corp for the USDA Forest Service Chesapeake Bay Program as a land cover

About the Land Image Analyst project Land Image Analyst was developed by GDA Corp for the USDA Forest Service Chesapeake Bay Program as a land cover About the Land Image Analyst project Land Image Analyst was developed by GDA Corp for the USDA Forest Service Chesapeake Bay Program as a land cover recognition tool to aid communities in developing land

More information

QUESTIONS & ANSWERS FOR. ORTHOPHOTO & LiDAR AOT

QUESTIONS & ANSWERS FOR. ORTHOPHOTO & LiDAR AOT QUESTIONS & ANSWERS FOR ORTHOPHOTO & LiDAR AOT Question# 1. Section 3.2 Will the imagery be clipped to the 1000m boundary? If so, what color will be used for null valued pixels? Yes, the imagery will be

More information

CLC2018 methodology. Barbara Kosztra, György Büttner ETC/ULS. CORINE Land Cover Technical Team. Eionet NRC Land Cover meeting

CLC2018 methodology. Barbara Kosztra, György Büttner ETC/ULS. CORINE Land Cover Technical Team. Eionet NRC Land Cover meeting CLC2018 methodology Barbara Kosztra, György Büttner ETC/ULS CORINE Land Cover Technical Team Eionet Copenhagen 9-10 October 2017 Contents Business as usual almost History of CLC Preferred methodology Input

More information

Earth observation in implementing Sendai Framework for Disaster Risk Reduction: UN-SPIDER Efforts

Earth observation in implementing Sendai Framework for Disaster Risk Reduction: UN-SPIDER Efforts UN-SPIDER Conference, Beijing, 14-16 September 2015 Earth observation in implementing Sendai Framework for Disaster Risk Reduction: 2015-2030 UN-SPIDER Efforts Shirish Ravan Head, UN-SPIDER Beijing Office

More information

2011 Bentley Systems, Incorporated. Bentley Descartes V8i (SELECTseries 3) Advancing Information Modeling For Intelligent Infrastructure

2011 Bentley Systems, Incorporated. Bentley Descartes V8i (SELECTseries 3) Advancing Information Modeling For Intelligent Infrastructure Bentley Descartes V8i (SELECTseries 3) Advancing Information Modeling For Intelligent Infrastructure What is Bentley Descartes? Image Processing Raster Geo-Referencing Advanced raster transformation (warping,

More information

Specify Projection Customizing Projection Changing Projection

Specify Projection Customizing Projection Changing Projection Specify Projection Customizing Projection Changing Projection Click the Projection button FYI: To select zone pls. see in next slide From the View Menu, Choose Properties If a projection has already been

More information

Roberto Cardoso Ilacqua. QGis Handbook for Supervised Classification of Areas. Santo André

Roberto Cardoso Ilacqua. QGis Handbook for Supervised Classification of Areas. Santo André Roberto Cardoso Ilacqua QGis Handbook for Supervised Classification of Areas Santo André 2017 Roberto Cardoso Ilacqua QGis Handbook for Supervised Classification of Areas This manual was designed to assist

More information

CLASSIFICATION OF NONPHOTOGRAPHIC REMOTE SENSORS

CLASSIFICATION OF NONPHOTOGRAPHIC REMOTE SENSORS CLASSIFICATION OF NONPHOTOGRAPHIC REMOTE SENSORS PASSIVE ACTIVE DIGITAL CAMERA THERMAL (e.g. TIMS) VIDEO CAMERA MULTI- SPECTRAL SCANNERS VISIBLE & NIR MICROWAVE HYPERSPECTRAL (e.g. AVIRIS) SLAR Real Aperture

More information

SPOT VGT.

SPOT VGT. SPOT VGT http://www.spot-vegetation.com/ SPOT VGT General Information Resolution: 1km Projection: Unprojected, Plate Carree Geodetic system: WGS 1984 Geographic Extent Latitude: 75 o N to 56 o S Longitude:

More information

QWG5 PAYLOAD DATA GROUND SEGMENT STATUS 09-10/05/2017 D. CLARIJS

QWG5 PAYLOAD DATA GROUND SEGMENT STATUS 09-10/05/2017 D. CLARIJS QWG5 PAYLOAD DATA GROUND SEGMENT STATUS 09-10/05/2017 D. CLARIJS PRESENTATION OUTLINE Data reception Processing Reprocessing Product distribution PR PRESENTATION OUTLINE Data reception Processing Reprocessing

More information

Ice Cover and Sea and Lake Ice Concentration with GOES-R ABI

Ice Cover and Sea and Lake Ice Concentration with GOES-R ABI GOES-R AWG Cryosphere Team Ice Cover and Sea and Lake Ice Concentration with GOES-R ABI Presented by Yinghui Liu 1 Team Members: Yinghui Liu 1, Jeffrey R Key 2, and Xuanji Wang 1 1 UW-Madison CIMSS 2 NOAA/NESDIS/STAR

More information

Spatial data and QGIS

Spatial data and QGIS Spatial data and QGIS Xue Jingbo IT Center 2017.08.07 A GIS consists of: Spatial Data. Computer Hardware. Computer Software. Longitude Latitude Disease Date 26.870436-31.909519 Mumps 13/12/2008 26.868682-31.909259

More information

Space Data Coordination Group Meeting (SDCG-13) 15 th -16 th September 2018, Bogotá, Colombia Meeting Objectives

Space Data Coordination Group Meeting (SDCG-13) 15 th -16 th September 2018, Bogotá, Colombia Meeting Objectives Space Data Coordination Group Meeting (SDCG-13) 15 th -16 th September 2018, Bogotá, Colombia Meeting Objectives The SDCG-13 meeting will be structured around the outcomes and tasks defined in the group

More information

Manual for Satellite Data Analysis. ecognition Developer

Manual for Satellite Data Analysis. ecognition Developer - Manual for Satellite Data Analysis ecognition Developer PNGFA. December 2013 Table of Contents Chapter 1. Introduction... 2 Chapter 2. Characteristics of Spectrums... 5 Chapter 3. Differences between

More information

Geomatica Focus Quick Start Geomatica 2015 Tutorial

Geomatica Focus Quick Start Geomatica 2015 Tutorial Geomatica Focus Quick Start Geomatica 2015 Tutorial Introduction The purpose of this tutorial is to familiarize you with the Geomatica Toolbar, along with visualization of data while using Geomatica Focus.

More information

VALERI 2003 : Concepcion site (Mixed Forest) GROUND DATA PROCESSING & PRODUCTION OF THE LEVEL 1 HIGH RESOLUTION MAPS

VALERI 2003 : Concepcion site (Mixed Forest) GROUND DATA PROCESSING & PRODUCTION OF THE LEVEL 1 HIGH RESOLUTION MAPS VALERI 2003 : Concepcion site (Mixed Forest) GROUND DATA PROCESSING & PRODUCTION OF THE LEVEL 1 HIGH RESOLUTION MAPS Marie Weiss 1 Introduction This report describes the production of the high resolution,

More information

LiDAR & Orthophoto Data Report

LiDAR & Orthophoto Data Report LiDAR & Orthophoto Data Report Tofino Flood Plain Mapping Data collected and prepared for: District of Tofino, BC 121 3 rd Street Tofino, BC V0R 2Z0 Eagle Mapping Ltd. #201 2071 Kingsway Ave Port Coquitlam,

More information

I. An Intro to ArcMap Version 9.3 and 10. 1) Arc Map is basically a build your own Google map

I. An Intro to ArcMap Version 9.3 and 10. 1) Arc Map is basically a build your own Google map I. An Intro to ArcMap Version 9.3 and 10 What is Arc Map? 1) Arc Map is basically a build your own Google map a. Display and manage geo-spatial data (maps, images, points that have a geographic location)

More information

2011 Bentley Systems, Incorporated. Bentley Descartes V8i Advancing Information Modeling For Intelligent Infrastructure

2011 Bentley Systems, Incorporated. Bentley Descartes V8i Advancing Information Modeling For Intelligent Infrastructure Bentley Descartes V8i Advancing Information Modeling For Intelligent Infrastructure Agenda Why would you need Bentley Descartes? What is Bentley Descartes? Advanced Point Cloud Workflows Advanced Terrain

More information

Measuring Ground Deformation using Optical Imagery

Measuring Ground Deformation using Optical Imagery Measuring Ground Deformation using Optical Imagery Sébastien Leprince California Institute of Technology, USA October 29, 2009 Keck Institute for Space Studies Workshop Measuring Horizontal Ground Displacement,

More information

Questions and Answers

Questions and Answers Autodesk AutoCAD Raster Design 2011 Questions and Answers AutoCAD Raster Design 2011 Questions and Answers Make the most of rasterized scanned drawings, maps, aerial photos, satellite imagery, and digital

More information

IMAGINE Objective. The Future of Feature Extraction, Update & Change Mapping

IMAGINE Objective. The Future of Feature Extraction, Update & Change Mapping IMAGINE ive The Future of Feature Extraction, Update & Change Mapping IMAGINE ive provides object based multi-scale image classification and feature extraction capabilities to reliably build and maintain

More information

COMBINING UAV AND FAST DATA ANALYSIS TO IDENTIFY VEGETATION THREATS TO POWER LINES

COMBINING UAV AND FAST DATA ANALYSIS TO IDENTIFY VEGETATION THREATS TO POWER LINES COMBINING UAV AND FAST DATA ANALYSIS TO IDENTIFY VEGETATION THREATS TO POWER LINES 1 UAV TO BUSINESS DECISIONS 100 People 100 Countries $25M raised 2 BVLOS SINCE 2012 BVLOS flights in 30+ countries MINI

More information

Hands on Exercise Using ecognition Developer

Hands on Exercise Using ecognition Developer 1 Hands on Exercise Using ecognition Developer 2 Hands on Exercise Using ecognition Developer Hands on Exercise Using ecognition Developer Go the Windows Start menu and Click Start > All Programs> ecognition

More information

Analysis Ready Data For Land (CARD4L-ST)

Analysis Ready Data For Land (CARD4L-ST) Analysis Ready Data For Land Product Family Specification Surface Temperature (CARD4L-ST) Document status For Adoption as: Product Family Specification, Surface Temperature This Specification should next

More information

Wide area forest monitoring of Insular SE Asia and Guiana Shield. Dirk Hoekman Wageningen University

Wide area forest monitoring of Insular SE Asia and Guiana Shield. Dirk Hoekman Wageningen University Wide area forest monitoring of Insular SE Asia and Guiana Shield Dirk Hoekman Wageningen University 20 th Science Team meeting RESTEC HQ, Tokyo, December 4-6, 2013 Collaborators LAPAN, Jakarta, Indonesia

More information

Geometric Accuracy Evaluation, DEM Generation and Validation for SPOT-5 Level 1B Stereo Scene

Geometric Accuracy Evaluation, DEM Generation and Validation for SPOT-5 Level 1B Stereo Scene Geometric Accuracy Evaluation, DEM Generation and Validation for SPOT-5 Level 1B Stereo Scene Buyuksalih, G.*, Oruc, M.*, Topan, H.*,.*, Jacobsen, K.** * Karaelmas University Zonguldak, Turkey **University

More information

Operations. What Do I Need? Scan Filter

Operations. What Do I Need? Scan Filter Smooth Anomalous Values in a DEM Reduce Noise and Speckling in a Satellite Image Smooth Anomalous Values in Ordinal Data (Nearest Neighbour Interpolation) Smooth Anomalous Values in Nominal Data (Nearest

More information

SWOT LAKE PRODUCT. Claire POTTIER(CNES) and P. Callahan (JPL) SWOT ADT project team J.F. Cretaux, T. Pavelsky SWOT ST Hydro leads

SWOT LAKE PRODUCT. Claire POTTIER(CNES) and P. Callahan (JPL) SWOT ADT project team J.F. Cretaux, T. Pavelsky SWOT ST Hydro leads SWOT LAKE PRODUCT Claire POTTIER(CNES) and P. Callahan (JPL) SWOT ADT project team J.F. Cretaux, T. Pavelsky SWOT ST Hydro leads Lake, Climate and Remote Sensing Workshop Toulouse June 1&2 2017 High Rate

More information

The Gain setting for Landsat 7 (High or Low Gain) depends on: Sensor Calibration - Application. the surface cover types of the earth and the sun angle

The Gain setting for Landsat 7 (High or Low Gain) depends on: Sensor Calibration - Application. the surface cover types of the earth and the sun angle Sensor Calibration - Application Station Identifier ASN Scene Center atitude 34.840 (34 3'0.64"N) Day Night DAY Scene Center ongitude 33.03270 (33 0'7.72"E) WRS Path WRS Row 76 036 Corner Upper eft atitude

More information

Rainforest Alliance. Spatial data requirements and guidance. June 2018 Version 1.1

Rainforest Alliance. Spatial data requirements and guidance. June 2018 Version 1.1 Rainforest Alliance Spatial data requirements and guidance June 2018 Version 1.1 More information? For more information about the Rainforest Alliance, visit www.rainforest-alliance.org or contact info@ra.org

More information

Traffic Sign Recognition Senior Project Proposal

Traffic Sign Recognition Senior Project Proposal Traffic Sign Recognition Senior Project Proposal Jacob Carlson and Sean St. Onge Advisor Dr. Thomas Stewart December 5 th, 2007 Abstract The Traffic Sign Recognition project aims to create a system using

More information

Mobile LiDAR for Ground Applications. Spar 2006, March Paul Mrstik, Terrapoint Canada Inc. Craig Glennie, Terrapoint USA LLC

Mobile LiDAR for Ground Applications. Spar 2006, March Paul Mrstik, Terrapoint Canada Inc. Craig Glennie, Terrapoint USA LLC Mobile LiDAR for Ground Applications Spar 2006, March 27 2006 Paul Mrstik, Terrapoint Canada Inc. Craig Glennie, Terrapoint USA LLC Agenda Introduction to Terrapoint What is mobile LiDAR? Advantages of

More information

Minnesota Department of Natural Resources ArcView Utilities Extension User s Guide

Minnesota Department of Natural Resources ArcView Utilities Extension User s Guide Introduction This document describes the functionality and use of the ArcView Utilities extension for the ArcView desktop GIS software. These tools were developed out of the need for additional geoprocessing

More information

Protocol for Riparian Buffer Restoration Prioritization in Centre County and Clinton County

Protocol for Riparian Buffer Restoration Prioritization in Centre County and Clinton County Protocol for Riparian Buffer Restoration Prioritization in Centre County and Clinton County Chesapeake Conservancy has developed this methodology to prioritize riparian buffer restoration in Centre County

More information

GROUND DATA PROCESSING & PRODUCTION OF THE LEVEL 1 HIGH RESOLUTION MAPS

GROUND DATA PROCESSING & PRODUCTION OF THE LEVEL 1 HIGH RESOLUTION MAPS GROUND DATA PROCESSING & PRODUCTION OF THE LEVEL 1 HIGH RESOLUTION MAPS VALERI 2002 LARZAC site (grassland) Philippe Rossello, Marie Weiss December 2005 CONTENTS 1. Introduction... 2 2. Available data...

More information

Singapore, 27 April 2010

Singapore, 27 April 2010 Sinar Mas continues rainforest destruction Singapore, 27 April 2010 The facts: A fifth of global GHG emissions are caused by deforestation. Palm oil is driving deforestation in Indonesia Deforestation

More information

High resolution survey and orthophoto project of the Dosso-Gaya region in the Republic of Niger. by Tim Leary, Woolpert Inc.

High resolution survey and orthophoto project of the Dosso-Gaya region in the Republic of Niger. by Tim Leary, Woolpert Inc. High resolution survey and orthophoto project of the Dosso-Gaya region in the Republic of Niger by Tim Leary, Woolpert Inc. Geospatial Solutions Photogrammetry & Remote Sensing LiDAR Professional Surveying

More information

QGIS for Geoscientists

QGIS for Geoscientists QGIS for Geoscientists Robin Armit, Tom Carmichael, Lachlan Grose Monash Structural Geophysics group 22 nd 26th February 2016 GIS A geographic information system (GIS) is a system designed to capture,

More information

Session 2 A virtual Observatory for TerraSAR-X data

Session 2 A virtual Observatory for TerraSAR-X data Session 2 A virtual Observatory for TerraSAR-X data 2nd User Community Workshop Darmstadt, 10-11 May 2012 Presenter: Mihai Datcu and Daniela Espinoza Molina (DLR) This presentation contains contributions

More information

Constructing maps of ungulate species

Constructing maps of ungulate species Constructing maps of ungulate species Preliminary report for Darwin Initiative Project 17-008 (Cambridge University - WWF) MsC. Lương Văn Đức - Quang Binh University 1, August 2012 1. Aim of research The

More information

GPS/GIS Activities Summary

GPS/GIS Activities Summary GPS/GIS Activities Summary Group activities Outdoor activities Use of GPS receivers Use of computers Calculations Relevant to robotics Relevant to agriculture 1. Information technologies in agriculture

More information

Image Digital Analysis for River Segmentation and Biodiversity Assessment

Image Digital Analysis for River Segmentation and Biodiversity Assessment Image Digital Analysis for River Segmentation and Biodiversity Assessment Joaquin Solana Gutiérrez and Silvia Merino de Miguel School of Forestry Engineering Department of Forestry Management Department

More information

Mining regions of Remote Sensing Images

Mining regions of Remote Sensing Images Mining regions of Remote Sensing Images JULES-RAYMOND TAPAMO University of KwaZulu-Natal School of Electrical, Electronic and Computer Engineering King George V Avenue, Durban, 4041 SOUTH AFRICA tapamoj@ukzn.ac.za

More information

Geospatial Management Office (GMO) U.S. DEPARTMENT OF HOMELAND SECURITY OFFICE OF THE CHIEF INFORMATION OFFICER (OCIO)

Geospatial Management Office (GMO) U.S. DEPARTMENT OF HOMELAND SECURITY OFFICE OF THE CHIEF INFORMATION OFFICER (OCIO) Geospatial Management Office (GMO) U.S. DEPARTMENT OF HOMELAND SECURITY OFFICE OF THE CHIEF INFORMATION OFFICER (OCIO) 1 Agenda What We (GMO) Do Core Offerings Geospatial Information Infrastructure (GII)

More information

Terrain Analysis. Using QGIS and SAGA

Terrain Analysis. Using QGIS and SAGA Terrain Analysis Using QGIS and SAGA Tutorial ID: IGET_RS_010 This tutorial has been developed by BVIEER as part of the IGET web portal intended to provide easy access to geospatial education. This tutorial

More information

As a GIS technician, your job will be to take the available data and develop suitability maps for the site.

As a GIS technician, your job will be to take the available data and develop suitability maps for the site. Study Guide: Geographic Informations Systems Area: Land-use Analysis with ArcView 3.x Subject: Using Soil maps to Assess site suitability Objectives: Upon completing this study guide you should be able

More information

New Features in TNTmips 2010

New Features in TNTmips 2010 61st Release February 2010 New Features in TNTmips 2010 A tileset is a collection of small image files called tiles in a predefined file size, format, and directory structure. It is designed for efficient

More information

What s New in ecognition 9.0. Christian Weise

What s New in ecognition 9.0. Christian Weise What s New in ecognition 9.0 Christian Weise Presenting ecognition 9 Release Date: March 2014 Who s eligible? All user with a valid ecognition maintenance contract Presenting ecognition 9 ecognition version

More information

Machine Learning Applications in Exploration and Mining

Machine Learning Applications in Exploration and Mining Machine Learning Applications in Exploration and Mining Tom Carmichael, Brenton Crawford, Liam Webb. QEC - The role of data in discovery 28 th February 2018 www.solvegeosolutions.com Outline Where and

More information

CHAPTER 2 GEOREFERENCING AND SHAPEFILE CREATION

CHAPTER 2 GEOREFERENCING AND SHAPEFILE CREATION CHAPTER 2 GEOREFERENCING AND SHAPEFILE CREATION Georeferencing is the process of assigning real-world coordinates to each pixel of the raster. These coordinates are obtained by doing field surveys - collecting

More information

TcpMDT Version 7.0 Summary of Differences with Version 6.5

TcpMDT Version 7.0 Summary of Differences with Version 6.5 Sumatra, 9 E-29190 Málaga (Spain) www.aplitop.com Tel.: +34 95 2439771 Fax: +34 95 2431371 TcpMDT Version 7.0 Summary of Differences with Version 6.5 CAD Versions supported TcpMDT 7 works with several

More information

Georeferencing Protocol KUMIP

Georeferencing Protocol KUMIP Georeferencing Protocol KUMIP Setting up in Specify 1) Go to Edit>Preferences in the Specify menu at the top and make sure that your GEOLocate preferences are correct. They should look like this: 2) Import

More information

Soil Map Adams County Area, Parts of Adams and Denver Counties, Colorado ' 39''

Soil Map Adams County Area, Parts of Adams and Denver Counties, Colorado ' 39'' Soil Map Adams County Area, Parts of Adams and Denver Counties, Colorado 4411660 4411670 4411680 4411690 4411700 4411710 4411720 4411730 104 58' 39'' W 4411660 4411670 4411680 4411690 4411700 4411710 4411720

More information

LIDAR MAPPING FACT SHEET

LIDAR MAPPING FACT SHEET 1. LIDAR THEORY What is lidar? Lidar is an acronym for light detection and ranging. In the mapping industry, this term is used to describe an airborne laser profiling system that produces location and

More information

٥...: (Picture element) Pixel ٧...:

٥...: (Picture element) Pixel ٧...: ( RS ) : : / : : - ٣... : ٣...: ٤...: ٥...: (Picture element) Pixel ٥...: ٧...: ١٠... : Geo Tiff ١٨... : ١٩... : DEM ٢٨...: ٢ :.. " " RS. :.. Kosmos Land Sat. : : RS :. : (Land Use) :( Change detection

More information

Efficient Processing of UAV Projects

Efficient Processing of UAV Projects Efficient Processing of UAV Projects Dr. Philippe Simard President SimActive Inc. IMAGE About SimActive Leading developer of photogrammetry software since 2003 Thousands of users in 50+ countries: military

More information

GEOMETRY AND RADIATION QUALITY EVALUATION OF GF-1 AND GF-2 SATELLITE IMAGERY. Yong Xie

GEOMETRY AND RADIATION QUALITY EVALUATION OF GF-1 AND GF-2 SATELLITE IMAGERY. Yong Xie Prepared by CNSA Agenda Item: WG.3 GEOMETRY AND RADIATION QUALITY EVALUATION OF GF-1 AND GF-2 SATELLITE IMAGERY Yong Xie Institute of Remote Sensing and Digital Earth, Chinese Academy of Science GF-1 and

More information

BrisBIM Gathering, August 2017

BrisBIM Gathering, August 2017 BrisBIM BrisBIM Gathering, August 2017 BIM IN TUNNELLING Implementation of BIM methodology to Trans Alpine tunnel Karavanke Marko Žibert Content Project summary 3D Modelling Model-based coordination 4D

More information

Trimble Business Center Software, v3.30

Trimble Business Center Software, v3.30 Trimble Business Center Software, v3.30 We are pleased to announce a new version of the Trimble Business Center software, version 3.30. This new version includes over 30 new features and enhancements increasing

More information

EVALUATION OF CONVENTIONAL DIGITAL CAMERA SCENES FOR THEMATIC INFORMATION EXTRACTION ABSTRACT

EVALUATION OF CONVENTIONAL DIGITAL CAMERA SCENES FOR THEMATIC INFORMATION EXTRACTION ABSTRACT EVALUATION OF CONVENTIONAL DIGITAL CAMERA SCENES FOR THEMATIC INFORMATION EXTRACTION H. S. Lim, M. Z. MatJafri and K. Abdullah School of Physics Universiti Sains Malaysia, 11800 Penang ABSTRACT A study

More information

Obtaining Submerged Aquatic Vegetation Coverage from Satellite Imagery and Confusion Matrix Analysis

Obtaining Submerged Aquatic Vegetation Coverage from Satellite Imagery and Confusion Matrix Analysis Obtaining Submerged Aquatic Vegetation Coverage from Satellite Imagery and Confusion Matrix Analysis Brian Madore April 7, 2015 This document shows the procedure for obtaining a submerged aquatic vegetation

More information

source: https://doi.org/ /boris downloaded: Version 1

source: https://doi.org/ /boris downloaded: Version 1 NAKINFO ONLINE source: https://doi.org/10.7892/boris.68367 downloaded: 13.3.2017 DEVELOPER S MANUAL Version 1 NakInfo Online Developer s Manual version 1, 2011 By Flametree Systems Engineering Ltd www.flametree

More information

DETECTION OF CHANGES IN ISTANBUL AREA WITH MEDIUM AND HIGH RESOLUTION SPACE IMAGES

DETECTION OF CHANGES IN ISTANBUL AREA WITH MEDIUM AND HIGH RESOLUTION SPACE IMAGES DETECTION OF CHANGES IN ISTANBUL AREA WITH MEDIUM AND HIGH RESOLUTION SPACE IMAGES S. Bayburt*, G.Büyüksalih*, I. Baz*, K. Jacobsen**, T. Kersten *** * BIMTAS, Tophanelioglu Cad. ISKI Hizmet Binasi No:62

More information

UTILIZACIÓN DE DATOS LIDAR Y SU INTEGRACIÓN CON SISTEMAS DE INFORMACIÓN GEOGRÁFICA

UTILIZACIÓN DE DATOS LIDAR Y SU INTEGRACIÓN CON SISTEMAS DE INFORMACIÓN GEOGRÁFICA UTILIZACIÓN DE DATOS LIDAR Y SU INTEGRACIÓN CON SISTEMAS DE INFORMACIÓN GEOGRÁFICA Aurelio Castro Cesar Piovanetti Geographic Mapping Technologies Corp. (GMT) Consultores en GIS info@gmtgis.com Geographic

More information

Policy Area: Field Team Operations

Policy Area: Field Team Operations Policy Area: Field Team Operations Subject: HCV Assessments Title of Policy: GIS and Data Management Number: Effective Date: 02 February 2013 Page Number: Approved by: APCS Project Manager 1. Rationale

More information

Chapter 7 Remote sensing of distinctives vegetations in Guiana Amazonian Park

Chapter 7 Remote sensing of distinctives vegetations in Guiana Amazonian Park 1 Chapter 7 Remote sensing of distinctives vegetations in Guiana Amazonian Park 1. Context and definition 1.1. Global context The Guiana Amazonian Park (figure 7.1) have satellite imagery available all

More information

The ArcGIS Platform for Managing, Processing, and Sharing UAV Data

The ArcGIS Platform for Managing, Processing, and Sharing UAV Data The ArcGIS Platform for Managing, Processing, and Sharing UAV Data Cody Benkelman, Technical Product Manager - Imagery David Gadsden, Nonprofit Program Manager Esri Advancing GIS Strong and Growing..Serving

More information

Session 2 A virtual Observatory for TerraSAR-X data

Session 2 A virtual Observatory for TerraSAR-X data Session 2 A virtual Observatory for TerraSAR-X data 3rd User Community Workshop Chania, 12-14 June 2013 Presenter: Mihai Datcu and Daniela Espinoza Molina (DLR) Motivation ENVISAT provided measurements

More information

TLS Parameters, Workflows and Field Methods

TLS Parameters, Workflows and Field Methods TLS Parameters, Workflows and Field Methods Marianne Okal, UNAVCO GSA, September 23 rd, 2016 How a Lidar instrument works (Recap) Transmits laser signals and measures the reflected light to create 3D point

More information

Geomatics 89 (National Conference & Exhibition) May 2010

Geomatics 89 (National Conference & Exhibition) May 2010 Evaluation of the Pixel Based and Object Based Classification Methods For Monitoring Of Agricultural Land Cover Case study: Biddinghuizen - The Netherlands Hossein Vahidi MSc Student of Geoinformatics

More information

How to Align a Non- Georeferenced Image to an Existing Geographic Layer or Georeferenced Image

How to Align a Non- Georeferenced Image to an Existing Geographic Layer or Georeferenced Image How to Align a Non- Georeferenced Image to an Existing Geographic Layer or Georeferenced Image Written by Barbara M. Parmenter, revised 14 October 2011 You can align, or georeference, scanned maps to existing

More information

Airborne Laser Survey Systems: Technology and Applications

Airborne Laser Survey Systems: Technology and Applications Abstract Airborne Laser Survey Systems: Technology and Applications Guangping HE Lambda Tech International, Inc. 2323B Blue Mound RD., Waukesha, WI-53186, USA Email: he@lambdatech.com As mapping products

More information

Overview of MOLI data product (MOLI: Multi-footprint Observation Lidar and Imager)

Overview of MOLI data product (MOLI: Multi-footprint Observation Lidar and Imager) Overview of MOLI data product (MOLI: Multi-footprint Observation Lidar and Imager) Jan 7, 2016 JAXA Jumpei Murooka 1 Contents 1. Mission instruments: MOLI 2. Standard products of MOLI 3. Lidar product

More information

ORTHOPHOTO PRODUCTION FROM AERIAL PHOTOGRAPH BY USING MATLAB AND GIS

ORTHOPHOTO PRODUCTION FROM AERIAL PHOTOGRAPH BY USING MATLAB AND GIS International Journal of Civil Engineering and Technology (IJCIET) Volume 9, Issue 9, September 2018, pp. 156 164, Article ID: IJCIET_09_09_018 Available online at http://www.iaeme.com/ijciet/issues.asp?jtype=ijciet&vtype=9&itype=9

More information

Classification (or thematic) accuracy assessment. Lecture 8 March 11, 2005

Classification (or thematic) accuracy assessment. Lecture 8 March 11, 2005 Classification (or thematic) accuracy assessment Lecture 8 March 11, 2005 Why and how Remote sensing-derived thematic information are becoming increasingly important. Unfortunately, they contain errors.

More information

Workflow Detail: Data Capture (for flat sheets and packets)

Workflow Detail: Data Capture (for flat sheets and packets) Workflow Detail: Data Capture (for flat sheets and packets) Module 6: Data Capture Task ID Task Description Explanations and Comments Resources T1 Determine extent of record level data fields to capture

More information

GLOBAL EXPOSURE MAPPING FOR CRISIS MANAGEMENT

GLOBAL EXPOSURE MAPPING FOR CRISIS MANAGEMENT Global Alliance of Disaster Research Institutes (GADRI) Disaster Prevention Research Institute (DPRI), University of Kyoto 12-16 October 2015, Kyoto, Japan GLOBAL EXPOSURE MAPPING FOR CRISIS MANAGEMENT

More information

GIS Workshop Spring 2016

GIS Workshop Spring 2016 1/ 14 GIS Geographic Information System. An integrated collection of computer software and data used to view and manage information about geographic places, analyze spatial relationships, and model spatial

More information

16) After contour layer is chosen, on column height_field, choose Elevation, and on tag_field column, choose <None>. Click OK button.

16) After contour layer is chosen, on column height_field, choose Elevation, and on tag_field column, choose <None>. Click OK button. 16) After contour layer is chosen, on column height_field, choose Elevation, and on tag_field column, choose . Click OK button. 17) The process of TIN making will take some time. Various process

More information

Prime2 Data Re-engineering timelines

Prime2 Data Re-engineering timelines Prime2 Data Re-engineering timelines Jun 2007 Nov 2007 May 2008 Sept 2008 May 2009 Sep 2009 Mar 2010 Dec 2010 Aug 2011 Nov 2011 Dec 2012 Feb 2013 Sept 2013 Apr 2014 Development of Conceptual Data Model

More information

3 rd CloudWATCH Concertation Meeting Turning cloud research into innovative software & services

3 rd CloudWATCH Concertation Meeting Turning cloud research into innovative software & services 3 rd CloudWATCH Concertation Meeting Turning cloud research into innovative software & services Silvana Muscella, CEO Trust-IT Services, @TrustITSiv, Coordinator, CloudWATCH 3 rd Concertation meeting 25

More information

Welcome. to Pre-bid meeting. Karnataka State Spatial Data Infrastructure (KSSDI) Project, KSCST, Bangalore.

Welcome. to Pre-bid meeting. Karnataka State Spatial Data Infrastructure (KSSDI) Project, KSCST, Bangalore. Welcome to Pre-bid meeting Karnataka State Spatial Data Infrastructure (KSSDI) Project, KSCST, Bangalore. DEVELOPMENT OF KARNATAKA STATE SPATIAL DATA INFRASTRUCTURE (KSSDI) PROJECT Objective: To develop

More information