TerraSAR-X Applications Guide

Similar documents
AGRICULTURAL PERFORMANCE MONITORING WITH POLARIMETRIC SAR AND OPTICAL IMAGERY

SAR forest canopy penetration depth as an indicator for forest health monitoring based on leaf area index (LAI)

EVALUATION OF TERRASAR-X INSAR FOR THE MEASUREMENTS OF MINING SUBSIDENCE

Oil & Gas Industry. Solutions from the space. Satellite applications in support to

Modified Antarctic Mapping Mission-2. RADARSAT-1 Antarctic Mapping Project. Project Requirements Document. April 25, 2000 DRAFT DRAFT DRAFT

Joint GFOI/GOFC-GOLD Expert Workshop 2: Approaches to monitoring forest degradation for REDD+

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 1

VALIDATION OF HEIGHTS FROM INTERFEROMETRIC SAR AND LIDAR OVER THE TEMPERATE FOREST SITE NATIONALPARK BAYERISCHER WALD

Intersection of SAR imagery with medium resolution DEM for the estimation of regional water storage changes

FOREST AND FOREST CHANGE MAPPING WITH C- AND L-BAND SAR IN LIWALE, TANZANIA

MONITORING OF CROP GROWTH AND SOIL MOISTURE RETRIEVAL USING NISAR DATA. HARI SHANKER SRIVASTAVA Indian Institute of Remote Sensing (IIRS),

Antarctic Mapping Mission - 2

RADARSAT-2 INFORMATION PRODUCTS

Remote sensing systems to monitor conversion areas

Integration of SAR multi-frequency and optical data for the retrieval of soil moisture and vegetation water content

Deforestation evaluation by synergetic use of ERS SAR coherence and ATSR hot spots: The Indonesian fire event of 1997

GeoCarb. PI: Berrien OU (Leadership, science analysis)

Near Real Time Applications for Maritime Situational Awareness

Airship-based LiDAR and multi-sensor forest monitoring

User Needs and High-Level Requirements for the Next Generation of Observing Systems for the Polar Regions

K&C Science Report Phase 1 Change in forest cover in Central Siberia using ALOS/PALSAR

Detecting deforestation with multitemporal L-band SAR imagery: a case study in western Brazilian Amazônia

Earth Observation for Sustainable Development of Forests (EOSD) - A National Project

Terms of Reference MONITORING THE IMPACT OF GOLD MINING ON THE FOREST COVER AND FRESHWATER AT THE GUIANA SHIELD REGIONAL SCALE

Data Handling and Preservation of the TanDEM-X Satellite Mission. Sven Kröger, Maximilian Schwinger, Max Wegner, Meinhard Wolfmüller DLR, DFD

The Penetration Depth Derived from the Synthesis of ALOS/PALSAR InSAR Data and ASTER GDEM for the Mapping of Forest Biomass

Introducing the Moors for the Future Pilot, Peak District National Park

Radar Polarimetry for Forestry Applications: ALOS and Radarsat-2 studies in Canada

To provide timely, accurate, and useful statistics in service to U.S. agriculture

Forest Changes and Biomass Estimation

UrtheCast s Vision for the Democratization of Earth Observation

Airborne Laser Scanning (ALS) for forestry applications

Integration methods for forest degradation assessment and change monitoring

Competence related to the use of Remotely Sensed Earth Observation Data on Board Vessels

LOW COST AERIAL MAPPING WITH CONSUMER-GRADE DRONES

Detection of Forest Clear-Cuts with Shuttle Radar Topography Mission (SRTM) and Tandem-X InSAR Data

MONITORING LAND USE AND LAND USE CHANGES IN FRENCH GUIANA BY OPTICAL REMOTE SENSING

Date: Author: Doc Title. 20/08/14 Jimmy Slaughter Copernicus Services. Copernicus Services

TEMPORARY JOB OPENING ANNOUNCEMENT

The Future is Now: Gill Dickson, 26 May 2015

INDREX II INDONESIAN AIRBORNE RADAR EXPERIMENT CAMPAIGN OVER TROPICAL FOREST IN L- AND P-BAND

TAKING STOCK OF OUR FORESTS

Forest Monitoring in Tropical Regions

SATELLITE-BASED EARTH OBSERVATION

Monitoring Crop Leaf Area Index (LAI) and Biomass Using Synthetic Aperture Radar (SAR)

Monitoring Natural Sal Forest Cover in Modhupur, Bangladesh using Temporal Landsat Imagery during

Polar Space Task Group Permafrost Review of Requirements, Achievements and Expected Data

Combining Moderate-Resolution Time-Series RS Data from SAR and Optical Sources for Rice Crop Characterisation: Examples from Bangladesh

Alpine Safety, Security & Informational Services and Technologies

User Awareness & Training: LAND. Tallinn, Estonia 9 th / 10 th April 2014 GAF AG

THE GLOBAL WATER CYCLE THEME WITHIN THE INTEGRATED GLOBAL OBSERVING STRATEGY FRAMEWORK

Product Delivery Report for K&C Phase 2. Christian Thiel Friedrich-Schiller-University Jena

DMC 22m Sensors for Supertemporal Land Cover Monitoring. Gary Holmes DMC International Imaging Ltd June 2014

Forest change detection and monitoring using passive and active remote sensing data (RS4FOR project)

Summary of the socio-economic impact of Copernicus in the EU

JICA s Cooperation for. Sustainable Forest. Management

Remote Sensing ISSN

A global perspective on land use and cover change

Unmanned Aerial Remote Sensing Facility

Rice crop monitoring using EO data in the Mekong Delta, Vietnam

Mapping the world s forests: work by FAO and partners in the global Forest Resource Assessment (FRA) Mette L. Wilkie Adam Gerrand FAO

JECAM SAR Inter-Comparison Experiment

Good practice. Cost-benefit analysis for flood and landslide safety in the Romagna rivers basin (Italy)

INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 3, No 2, 2012

DETECTION AND OBSERVATION OF UNDERGROUND COAL MINING-INDUCED SURFACE DEFORMATION

Towards the Improvement of National Forest Monitoring Approaches

Global Greenhouse Gas Observation by Satellite

2014REDD302_41_JCM_PM_ver01

Drones and Its Applications Manzul Kumar Hazarika, Ph.D.

Forest Fire Risk Zonation Using Remote Sensing and GIS Technology in Kansrao Forest Range of Rajaji National Park, Uttarakhand, India

SOIL MOISTURE RETRIEVAL FROM OPTICAL AND THERMAL SPACEBORNE REMOTE SENSING

REDD-COMIFAC Meeting March 2008, Paris. REDD Pilot Project COMIFAC: Cameroon. T. Haeusler, S. Gomez

MRV for REDD: Indonesia experience

Author(s) Helt, Michael F. Vegetation identification with Lidar. Publisher Monterey California. Naval Postgraduate Sc. Issue Date

REMOTE SENSING POTENTIALS TO ESTIMATE FOREST CARBON STOCKS IN INDONESIA & NEPAL IN THE CONTEXT OF REDD+

GEO GFOI 19-23, 2015 INPE

ROLE OF REMOTE SENSING AND GIS IN FORESTRY

An Assessment of Deforestation Models for Reducing Emissions from Deforestation & forest Degradation (REDD)

Forest Carbon Accounting for REDD+ Readiness at District and FMU Level Experiences from Kalimantan

EARTH OBSERVATION: DEFENSE & SECURITY

3D Reconstruction Optimization Using Imagery Captured By Unmanned Aerial Vehicles

ESA Programmes Earth Observation Navigation

Forest and Land Cover Monitoring by Remote Sensing Data Analysis

K&C Phase 3 Brief project essentials. Climate-Relevant Modernization of the National Forest Policy and Piloting of REDD+ Measures in the Philippines

Developing and testing Airborne LiDAR-Based Sampling Procedures for Regional Forest Biomass and Carbon Estimation On-going and New Initiatives

Classification of Agricultural Sites using Time-series of Highresolution dual-polarisation TerraSAR X Spotlight images

LONG TERM CHANGES IN CROPPING PATTERN OF BATHINDA DISTRICT, PUNJAB - A REMOTE SENSING APPROACH

Mapping global soil Carbon stocks and sequestration potential

Annual Deforestation Mapping in Sumatera using multi temporal digital classification

Capacity building for Environmental observations in Finland CLEO workshop Inari, Finland June 2-3, 2016

RESTORE+: Addressing Landscape Restoration for Degraded Land in Indonesia and Brazil. Picture credit Stora Enso

A Forest Cover Change Study Gone Bad

COMBINATION OF LOW PULSE ALS DATA AND TERRASAR X RADAR IMAGES IN THE ESTIMATION OF PLOT LEVEL FOREST VARIABLES

Implementation of Forest Canopy Density Model to Monitor Forest Fragmentation in Mt. Simpang and Mt. Tilu Nature Reserves, West Java, Indonesia

The use of satellite pictures and data provided by drones for the purposes of identification of crops and assessment of plant production

User Contact. Greenhouse Gas Reporting (GHG) for Kyoto

The Seven Year Itch. A story by Jose Achache. Starring. Now Playing at The 27 th CEOS SIT La Jolla, California. GEO Secretariat

SUPPORT TO THE EVALUATION OF THE SHORT-TERM EXPLOITATION OPPORTUNITIES FOR ERS DATA WITHIN THE AGRIBUSINESS MARKET

Transcription:

TerraSAR-X Applications Guide Extract: Change Detection and Monitoring: Forestry April 2015 Airbus Defence and Space Geo-Intelligence Programme Line

Change Detection and Monitoring: Forestry Issue Anthropogenic pressures exerted on forests are growing and need to be monitored. Sustainable management of forest ecosystems is strongly encouraged and funded, for example through new monetisation mechanisms like REDD+. Satellite imagery supports to monitor forests and above all providing vital decision-support tools for forest managers. Optical satellite imagery very often fails for forest monitoring in clouded regions due to lack of suitable time series of cloud-free imagery in general and delays in acquisition of cloud-free imagery. Markets Civil Institutions, Civil Commercial Achievements TerraSAR-X can be utilised for forestry related change detection by applying Amplitude Change Detection approaches based on repeat pass imagery of the sensor. The imagery is statistically analysed and change layers are automatically extracted. For interactive interpretation or evaluation, the detected changes, e.g. induced by new clear-cuts can also be visualised by generating colour composites of TerraSAR-X imagery acquired in between the monitoring period (Figure 1). Figure 1: TerraSAR-X Sample for Amplitude Change Detection applied for forestry in Nicaragua between 07/02/2005 and 16/05/2008 changes related to clear-cuts are indicated in red

By applying a distinct change detection processing chain, a change indicator layer can be calculated e.g. for guiding terrestrial ground truth / validation work. The product can also serve as an input for further assessment of forest disturbances e.g. through forest consultants. This assessment requires further forestry expert knowledge and yields valuable information for either forest management or REDD+. Figure 2: Change indicator layer produced from TerraSAR-X StripMap (3m) for Pallisco concession Cameroon; changes are indicated in red. Benefits of using TerraSAR-X TerraSAR-X offers weather and day-light independent site access to any point on earth. This results in more consistent coverages with regards to input data quality, time consistency and actuality. Furthermore, TerraSAR-X provides excellent radiometric stability over time, which results in comparable backscatter in repeat-pass acquisitions enabling fully automatic processing chains for forestry related change detection. The geometric accuracy of TerraSAR-X is unrivalled by any other commercial space-borne sensor today and allows accurate localisation of forest changes. It also allows sub-pixel coregistration of repeat pass imagery for change detection. This is particularly relevant when field measurements of small extent are combined with remote sensing data. The flexible resolution and coverage of TerraSAR-X enables a choice of most appropriate spatial resolution and coverage. Furthermore, the high acquisition frequency provides a good temporal sampling for change detection. With the availability of TerraSAR-X / PAZ constellation a daily revisit will be available for most latitudes.

Relevant Data Specifications Table 1: Recommended Image Specification Image Modes: Number of datasets: StripMap, SpotLight, High Resolution SpotLight, Staring SpotLight Two (acquired with exactly the same acquisition parameters, i.e. repeat pass) Assumed Analysis Approach: Amplitude Change Detection utilizing colour composite for two acquisitions, Coherence Change Detection utilizing a calculation of coherence between acquisitions. Polarization: VV or HH System Settings: Incidence Angle [Degree]: > 30 TerraSAR- Image Product Orbit Basic Image Product: Resolution Mode: File Format: Ascending or Descending MGD, EEC, GEC (if ACD is applied), SSC (if CCD is applied) SSC: N.A MGD, EEC, GEC: Radiometrically Enhanced (RE) COSAR Note: Recommended image specification is an indication only. It may vary depending on the software used. Airbus Defence and Space, Geo-Intelligence does not guarantee relevant capability. Relevant Products and Services available from Airbus Defence and Space, Geo-Intelligence Change Indicator Product Available Case Studies TerraSAR-X based Monitoring of Forest Degradation in Ghana Related Publications Information available on Request Related Sample Datasets 3 x StripMap Porto Velho, Brazil (MGD, RE, HH) 3 x StripMap Harpan Forest Sumatra, Indonesia (SSC, VV)

Suitable Software Company Name Application BAE Systems Exelis GAMMA Remote Sensing AG Hexagon Geospatial/ Joanneum PCI Geomatics GEOSYSTEMS Research GmbH Provided Software Racurs Textron Geospatial Solutions Trimble SOCET GXP ENVI SARscape GAMMA MSP,ISP,DIFF&GE ERDAS IMAGINE O,LAT, IPTA RSG - Remote Sensing Software Package Graz Geomatica and GXL Photomod Radar RemoteView, ELT5500, and Global ImageViewer ecognition Change Detection Interferometric Coherence Change Detection X X X X X X Amplitude Change Detection X X X X X X X X Note: Information provided by Software Providers, Airbus Defence and Space, Geo-Intelligence does not guarantee relevant capability.

Contact For feedback or further inquiry please contact the Airbus Defence and Space Customer Service Centre via telephone at +49 7545 8 4344 / email: terrasar@astrium-geo.com or visit http://www.geo-airbusds.com/terrasar-x/

List of Abbreviations ACD CCD DEM DInSAR DSM DTM EEC EGR EMSA EOR EU EEZ GCP GEC GEO HS IMINT InSAR IWS MGD NRT PSI RE REED+ SAR SBAS SC SE SL SM SSC Amplitude Change Detection Coherence Change Detection Digital Elevation Model Differential Interferometry Digital Surface Model Digital Terrain Model Enhanced Ellipsoid Corrected (Basic Image Product) Enhanced Gas Recovery European Maritime Safety Agency Enhanced Oil Recovery European Union Exclusive Economic Zone Ground Control Points Geocoded Ellipsoid Corrected (Basic Image Product) Airbus Defence & Space, Geo-Intelligence High Resolution SpotLight (imaging mode) Image Intelligence Interferometric SAR Interferometric Wide Swath (Sentinel-1 imaging mode) Multi Look Ground Range Detected (Basic Image Product) Near-Real-Time Persistent Scatterer Interferometry (PSI) Radiometrically Enhanced Reducing Emissions from Deforestation and Forest Degradation and the role of conservation, sustainable management of forests and enhancement of forest carbon stocks in developing countries Synthetic Aperture Radar Small Baseline Subset Interferometry ScanSAR (imaging mode, 4-beam ScanSAR) Spatially Enhanced SpotLight (imaging mode) StripMap (imaging mode) Single Look Slant Range Complex (Basic Image Product)

SRTM ST WS Shuttle Radar Topography Mission Staring SpotLight (imaging mode) Wide ScanSAR (imaging mode, 6-beam Scan SAR)