ScanEx GLS Contribution and Future Activities Vladimir Gershenzon
President & CEO
The 15th Annual LCLUC Science Team Meeting Maryland, March 28-30, 2011 1 Main ScanEx activities
ScanEx R&D Center is Russian private company established in 1989
Core business - designing and manufacturing of personal ground stations (PGS) Alice-SC™, UniScan™ for reception and processing satellite images in aims of Earth monitoring from space. Remote sensing data archiving, cataloging, sales (IRS-1C/1D, P5, P6, Landsat 4/5/7, SPOT 4/5, EROS A/B, RADARSAT-1, ENVISAT-1) and distributing (IKONOS, GeoEyE-1, QickBird, WorldView-1, TerraSAR-X, ALOS). Software: the technology for RS data acquisition, processing, archiving and thematic analysis: ScanReceiver® — ScanMagic® — MagicCatalog® –– ScanEx Image Processor® — Thematic PRO®. Thematic projects on the base of RS Data. Creating of geo-portals on the base of remotely sensed data (www.kosmosnimki.ru)
Education - Remote Sensing Training Centers in Universities based on UniScan™ MDGLS and GLS2010 – initiative of NASA and USGS of global coverage with Landsat 5 TM Data
MDGLS Project: 2006-2007 GLS2010 Project: 2009-2010
Landsat 5 coverage of 2010 All scenes Cloud free scenes http://catalog.scanex.ru
In August, 2006 ScanEx became a participant of the International Mid-Decadal Global Land Survey (MDGLS) Project, managed by NASA and the USGS. During imaging seasons 2009-2010 ScanEx’s network of UniScan ground stations collected data in frames of GLS2010 Project followed by MDGLS. Participation of RDC ScanEx ground stations network in GLS-2010, season 2010
4 ScanEx stations network
Current network coverage
5 GLS-2010, season 2010
Landsat-5 campaign stations (Moscow, Irkutsk, Magadan)
Activated during June 1 – October 1
NO tapes anymore
All the data transferred to USGS via FTP – 575 RCC files – Σ volume = 2.8 TB
6 GLS-2010, season 2010
Landsat-5 collected coverage, June-September 2010 Station # passes Downlink duration (h) MOR (Moscow) 290 33.8 IKR (Irkutsk) 275 30.6 MGR (Magadan) 77 6.9
7 Technologies: UniScan™ station
EROS A EROS B Terra Aqua SPOT 4 RADARSAT-2
Resoucesat-1 Landsat-5 Cartosat-1 IRS 1D
RADARSAT-1 ENVISAT-1 Cartosat-2 COSMO-SkyMed
SPOT-5 FORMOSAT-2 THEOS TerraSAR-X
8 X-Band UniScan™ ground stations (in total 62)
http://www.scanex.ru/en/stations/uniscan/installation.asp9 Satellite data for forestry
1986, LANDSAT-5
1988, LANDSAT-4
1997, Resource
1999, Resource
2001, LANDSAT-7
2004, IRS 1D Liss-3
2010, LANDSAT-5 Vegetation coverage monitoring
Logging control
Fast and reliable data10 Kholmogory in Arkhangelsk region Satellite data for forestry
1986 1988 2001 2007 2010
Thematic analysis with quantative outcomes
Logged areas, total
11 Kholmogory in Arkhangelsk region Satellite data for forestry
2001, Landsat-7 2006, Landsat-5 2010, SPOT-4 Pinega in Arkhangelsk region Vegetation coverage monitoring. Logging areas and deforested areas increase for 2001 – 2010 12 Satellite data for forestry
2001 2006 2010
Thematic analysis with quantative outcomes
Logged areas, total
Pinega in Arkhangelsk region 13 Vegetation coverage monitoring. Logging areas and deforested areas increase for 2001 – 2010 RDC ScanEx have got the exclusive right for SPOT 4/5 reception and distribution in Russia Forest inventory 2010
2.5 m (SPOT-5) Web portal for scene selection
14 Direct acquisition of high resolution satellite images using personal ground station help to simplify and accelerate illegal forest cutting monitoring
Identification of forest cutting features, Russian Far East, SPOT-5 Fusion (resolution 5 m). © Spot Image, acquired and processed by R&D Center SCANEX 15 Direct acquisition of high resolution satellite images using personal ground station help to simplify and accelerate illegal forest cutting monitoring
Identification of shelterwood felling, Russian Far East, Eros-B (resolution 0,7 m). © ImageSat International N.V., acquired and processed by R&D Center SCANEX 16 Share of high-resolution scenes in forest monitoring projects: from extensive to intensive development
99.5 97 100 92
80 74
60
40
26
20
8 3 0.5 0 2007 2008 2009 2010
5-10 m 2.5 m & better 17 Landsat for environment preservation
18 Landsat for environment preservation
19 Satellite data for fires monitoring
In June 2010 ScanEx started and tested a thematic geoinformation service of remote monitoring ScanEx Fire Monitoring Service (SFMS)
Its main purposes are: to develop and test new technology of remote monitoring of fire situation, based on combination of different data sources, and to share the most actual data via Internet services 20 ScanEx Fire Monitoring Service (SFMS) data examples, published in the Internet
A blog A portal for tourists Emercom
A forum Tula News Agency Yandex SFMS uses data from different satellites
Low res MODIS Terra & Aqua (250м–1км)
Multispectral (4-7 bands) Landsat-5, Spot-4, Spot-5
Very high res (0,7-2м) Eros-A, Eros-B
Radar scanning RADARSAT-2 22 SFMS is based on and integrated to kosmosnimki.ru
23 Scheme of coverage with middle and high resolution data, which ScanEx receiving stations network acquire per day
24 Scheme of coverage with middle and high resolution data, which ScanEx receiving stations network acquired for monitoring period from July to September 2010
25 Analytical methods to improve detecting of fires
Haze removal after analyzing IR band
Landsat-5 image
26 Analytical methods to improve detecting of fires
Thermal and middle-IR bands allow detecting fire localization despite of smoke
Fire around village Semilovo. LANDSAT-5, 17.06.2010
RGB:321 Pseudonatural, RGB:432 (NRG) IR synthesis, RGB:754 27 Detecting of small fires
Even the smallest fires can be detected using Landsat 5 (example) 28 Evaluating fire damage Nizhniy Novgorod region
29 Actual monitoring of forest fires. Improving definition of burned areas using middle resolution data
Mid-res data are used to analyze situation at the whole, contour and estimate damages
SPOT 4 (top) and LANDSDAT-5 (right) images, acquired during fire situation monitoring in summer 2010
30 Actual monitoring of forest fires. Improving definition of burned areas using middle resolution data
Mid-res data are used to analyze situation at the whole, contour and estimate damages: example
SPOT 4 image, acquired during fire situation monitoring in summer 2010 31 Fire dynamic monitoring with optic and radar satellite data
Example: fire dynamic monitoring in Mariy-El Republic (Russian Federation)
Landsat-5 Radarsat-2 Spot 5 (RGB 7-4-3) (RGB VV-HV-HH) (RGB 4-1-2) 15.08.2010 19.08.2010 04.09.2010 Used in 100% cloudy or smoky condition 32 RADARSAT-2 multi polarized images are used to detect and monitor burned areas
Burned area, contoured at RADARSAT-2 image, 19.08.2010, QuadPol Fine mode (left), and at SPOT-4 image, 15.09.2010 (right). © MDA, SPOT Image, ScanEx, 2010 33 Landsat for environment preservation
30.10.2008 08.04.2009
Leopardovy federal-level wild-life refuge (Russian Far East). Spring grassland fires. Landsat 7 34 Landsat for environment preservation
Space monitoring of fires on the territories of Khasan region (Primorskiy Kray, Russian Far East) for the spring fire season of 2009 (Transparent World, WWF Russia, ScanEx) Total burnt area = 226000 ha; Of which 19500 ha occurred on the territories of federal-level protected areas (Kedrovaya Pad zapovednik and Leopardovy wildlife refuge)
Data sources: SPOT-2, 4 – ScanEx R&D Center; Landsat-7 – The USGS GLobal Visualization Viewer (http://glovis.usgs.gov)
Hot spots : Fire Information for Resource Management System (FIRMS) NASA/University of Maryland EOStation - Irkutsk ©2003-2005, BaikalInformCenter, ScanEx R&D Center ISDM-Rosleskhoz data on fires 35 Low-res and mid-res data combination for tasks of agricultural monitoring
LANDSAT TM IRS P6 AWiFS Terra MODIS (30 м) (60 м) (250 м) Terra MODIS provides the most often observation of needed territory, but used rather for getting general picture, and to separate smaller plots multispectral mis-res data are used Changes in agriculture, Rostov region, April to September 2009 г., MODIS data Landsat for agriculture
In this example archive data are used to detect changes in land use
LANDSAT-5, 2010
LANDSAT-5, 1987
Klet district in Volgograd region
Agricultural allotments
Status changed 38 Remote sensing in agriculture: Mid-res and low-res data, acquired via direct receiving
LANDSAT TM, 30 м IRS P6 LISS-3, 23 м SPOT-4, 20 м IRS P6 PAN/MS, 6 м
39 Ecological situation observation around big industrial enterprises with Landsat images
Detecting of atmosphere pollution
LANDSAT TM image (fragment), classification and vector map. Monchegorsk metallurgical plant in 40 Murmansk region. Stressed vegetation area corresponds to pollution halation (purple on the map) Landsat for bathymetry
Sharapov Shar bay in Kara Sea. Underwater relief observation on LANDSAT-5 image
41 Far infra-red bands application
Oil pollution monitoring Forest and peat fires monitoring
Oil derrick flares monitoring Industrial heat emission monitoring 42 Educational X-band UniScan™ network
1. Belgorod State University, Belgorod, Russia 2. Kazakhstan-British Technical University, Almaty, Republic of Kazakhstan 3. Satpaev Kazakh National Technical University, Almaty, Republic of Kazakhstan 4. Lomonosov Moscow State University, Moscow, Russia 5. Bauman Moscow State Technical University, Moscow, Russia 6. Korolev Samara State Aerospace University, Samara, Russia 7. University of Valencia, Valencia, Spain 8. Ufa State aviation and technical university (UGATU), Ufa, Bashkortostan, Russia 9. Siberian Federal University, Krasnoyarsk, Russia 10. Tyumen State University, Tyumen, Russia 11. Southern Federal University, Rostov-on-Don, Russia 12. Nizhniy Novgorod Academy of Architecture, Educational UniScan™ network N.Novgorod, Russia 15 ground stations 13. Altai State University, Barnaul, Russia 14. University of Valladolid, Laboratory of Remote Sensing (LATUV), Valladolid, Spain 15. Astrakhan State University, Astrakhan, Russia 43 Unique ScanEx offer for Universities
1. UniScan™-24 ground station for Terra, Aqua data acquisition – 257,000 Euro EXW-Moscow (Incoterms-2000).
2. UniScan™-24 ground station for Terra, Aqua, EROS A data acquisition including cost of 100 scenes of EROS A for the first year of operation – 400,000 Euro EXW-Moscow (Incoterms-2000). 3. UniScan™-24 ground station for Terra, Aqua, IRS-1D data including cost of 600 minutes of IRS-1D telemetry for the first year of operation – 380,000 Euro EXW-Moscow (Incoterms-2000). 4. UniScan™-24 ground station for Terra, Aqua, SPOT 4 data acquisition including cost of SPOT 4 telemetry for the first year of station operation (all passes within footprint of ground station) – 500,000 Euro EXW-Moscow (Incoterms-2000). 5. UniScan™-24 ground station for Terra, Aqua, RADARSAT-1 data acquisition including cost of 50 scenes of RADARSAT-1 for the first year of station operation– 500,000 Euro EXW-Moscow (Incoterms-2000).
Combinations of mentioned satellites are possible! 44 SPOTScan – joint solution of Spot Image and ScanEx for Universities
45 Contemporary remote sensing center at a university allows to:
• Turn the university into one of the world’s leading education institutions equipped with cutting-edge technology and firmware for Earth observation from space • Carry out training and advanced training of specialists in remote sensing and GIS • Monitor territories and submit data in support of decision-making to regions and sub-regions
46 Role of Universities in situation, when remote sensing data transmission grows exponentially
TB
Years Growth of RS Data archive of ScanEx
ScanEx receives up to 150 sessions of remote sensing data transmission every day – or more than 600 GB Main challenges - Discretion of important data from gross delivery - Forecasting the need of different data, according to proposed tasks (for example, for floods monitoring e.t.c.) Research community could cooperate in development of methods necessary to meet these challenges Conclusions
ScanEx RDC owns working network infrastructure, used to acquire and process remote sensing data, which can be used in joint projects Using such kind of infrastructure lowers delivery data cost and received mid-res and high-res data are the most actual Remote sensing data acquisition and processing centers are now created in many universities, and the next step is joint networking of those centers US Universities can participate in this process, and NASA could support them As remote sensing data transmission grows dramatically, this is the opportunity for research community to participate actively in development of methods and algorithms to deal with it…
48 Thank you and welcome to our Conference in Moscow !
49