Space Applications Institute Global Vegetation Monitoring Unit Operational Implementation of Burnt Area Algorithms for GBA2000: Initial Results for Australia.

Slides:



Advertisements
Similar presentations
Beyond Spectral and Spatial data: Exploring other domains of information GEOG3010 Remote Sensing and Image Processing Lewis RSU.
Advertisements

The retrieval of snow properties from space: theory and applications A. A. Kokhanovsky 1, M. Tedesco 2,3, G. Heygster 1, M. Schreier 1, E. P. Zege 4 1)University.
GLC 2000 – “FIRST RESULTS” WORKSHOP JRC – Ispra, March 2002 GLC 2000 – South America map Presented by H.Eva E. E. de Miranda C. di Bella V. Gond.
Session 7: Land Applications Burned Area RENATA LIBONATI Instituto Nacional de Pesquisas Espaciais (INPE) Brazil EUMETRAIN.
1 - GLC 2000 Ispra STATUS OF SPOT VEGETATION  VEGETATION 2  NEW STANDARD PRODUCTS  VEGETATION 2002 Gilbert Saint - VEGETATION Programme Scientist.
Global Vegetation Monitoring Unit The Global Burnt Area 2000 initiative: GBA-2000 Mapping, from SPOT-VEGETATION S1 imagery, of the areas burnt globally.
Global Vegetation Monitoring Unit GLC 2000 Project Partners in Asia & Oceania GLC 2000 – “FIRST RESULTS” WORKSHOP JRC – Ispra, March 2002.
A Land Cover Map of Eurasia’s Boreal Ecosystems S. BARTALEV, A. S. BELWARD Institute for Environment and Sustainability, EC Joint Research Centre, Italy.
GLC 2000 ‘Final Results’ Workshop (JRC-Ispra, 24 ~ 26 March, 2003) GLC 2000 ‘Final Results’ Workshop (JRC-Ispra, 24 ~ 26 March, 2003) LAND COVER MAP OF.
LAND COVER MAPPING OVER France USING S1-S10 VEGETATION DATASET J-L CHAMPEAUX, S. GARRIGUES METEO-FRANCE GLC 2000 – “FIRST RESULTS” WORKSHOP JRC – Ispra,
Correction of bidirectionnal effects and impact on land cover classifications J-L. CHAMPEAUX METEO-FRANCE S. GARRIGUES METEO-FRANCE C. GOUVEIA ICAT, Universidade.
VIIRS LST Uncertainty Estimation And Quality Assessment of Suomi NPP VIIRS Land Surface Temperature Product 1 CICS, University of Maryland, College Park;
The Global Burnt Area 2000 initiative GBA-2000 Mapping, from SPOT-VEGETATION S1 imagery, of the areas burnt globally during the year 2000 Final results.
Processing methodology for full exploitation of daily VEGETATION data C. Vancutsem, P. Defourny and P. Bogaert Environmetry and Geomatics (ENGE) Department.
Algorithm Performance Evaluation Burnt surface area statistics compared to inventories/fire surveys
Nairobi, 25 th /Oct. – 18 Dec 2010AMESD eStation users’ training. AMESD eStation users’ training N 09. Fires from RS and products Marco Clerici, JRC/IES/GEM.
Space Applications Institute (jmg/fireglob/Gba_vgt/GBA_MethodsWorkshop) Global Vegetation Monitoring Unit The Global Burnt Area 2000 initiative: GBA-2000.
GLC 2000 “final results” workshop March 2003 Land cover mapping at global scale: some lessons learnt from the GLC 2000 project E. Bartholomé JRC-Ispra.
1 Global Land Cover Workshop JRC - Ispra, March 2001 VEGA 2000 : VEGETATION data for the Millennium Ecosystem Assessment Initiative H. Jeanjean,
SDMI Source Imagery Collection Updating Alaska’s image maps Drew Hopwood February 24, 2011.
Geoscience Australia Md Anisul Islam Geoscience Australia Evaluation of IMAPP Cloud Cover Mapping Algorithm for Local application. Australian Government.
Has EO found its customers? Global Vegetation Monitoring Unit Mapping of arid regions in N. Africa, middle East and Southeast Asia using VGT S10 Michael.
ReCover for REDD and sustainable forest management EU ReCover project: Remote sensing services to support REDD and sustainable forest management in Fiji.
1 Has EO found its customers? Russia land cover mapping from VGT S-10 data Global Land Cover 2000 Global Vegetation Monitoring Unit Sergey Bartalev International.
1 Has EO found its customers? GLC 2000 Workshop ‘Methods’ Objectives F. Achard Global Vegetation Monitoring Unit.
Christelle Michel (1,2) Jean-Marie Grégoire (3), Kevin Tansey (3), Catherine Liousse (1) (1) Laboratoire d’Aérologie UMR 5560 CNRS/UPS, Observatoire Midi.
Africa overview of the GLC2000 activities Philippe Mayaux & Michel Massart Institute for Environment and Sustainability, EC Joint Research Centre, Italy.
Cooperative Institute for Meteorological Satellite Studies University of Wisconsin - Madison Steve Ackerman Director, Cooperative Institute for Meteorological.
1 Space Applications Institute Joint Research Centre European Commission Ispra (VA), Italy Global Vegetation Monitoring.
Some preliminary tests on VGT data over France J-L CHAMPEAUX, L FRANCHISTEGUY, S. GARRIGUES CNRM/GMME/MATIS.
Module 2.1 Monitoring activity data for forests using remote sensing REDD+ training materials by GOFC-GOLD, Wageningen University, World Bank FCPF 1 Module.
GLC Baltic Sea Basin Metria Indata: SPOT VGT 10-day composites from to and several SPOT VGT S- 1 composite data for June and.
Towards global estimates of burnt area from satellite imagery for use by the atmospheric science community Grégoire J-M. 1*, K. Tansey 1*, I. Marengo 1,
Surface Reflectivity from OMI using MODIS to Eliminate Clouds: Effects of Snow on UV-Vis Trace Gas Retrievals Gray O’Byrne, 1 Randall V. Martin, 1,2 Aaron.
Microwave Remote Sensing Group 1 P. Pampaloni Microwave Remote Sensing Group (MRSG) Institute of Applied Physics -CNR, Florence, Italy Microwave remote.
Mapping burned scars in Amazon region using MODIS data Big Bear Lake, California, USA, André Lima Yosio Edemir Shimabukuro Luiz Eduardo Aragão SCGIS.
Global land cover mapping from MODIS: algorithms and early results M.A. Friedl a,*, D.K. McIver a, J.C.F. Hodges a, X.Y. Zhang a, D. Muchoney b, A.H. Strahler.
Development of indicators of fire severity based on time series of SPOT VGT data Stefaan Lhermitte, Jan van Aardt, Pol Coppin Department Biosystems Modeling,
Land degradation & change detection of biophysical products using multi temporal SPOT NDVI image data : a case in Blue Nile river basin, Ethiopia Taye.
Biomass burning emission inventory from a satellite based approach: the ACE-Asia case study Christelle Michel (1) Jean-Marie Grégoire (2), Kevin Tansey.
GOFC-GOLD Efforts in Harmonization and Validation of Land Cover Datasets Chris Schmullius & Martin Herold ESA GOFC-GOLD Landcover Implementation Project.
Space Applications Institute Global Vegetation Monitoring Unit GLC 2000 Legend Workshop: welcome and introductiom Alan S. Belward.
The study area is the Sub-Saharian Africa. According to the IGBP vegetation map the major vegetation types present in the area include savanna and woody.
Institute for Environment and Sustainability Global Vegetation Monitoring Unit Joint Research Centre (JRC) of the EU, Italy Tel:
Space Applications Institute (jmg/fireglob/Gba_vgt/GBA-2000_Project) Global Vegetation Monitoring Unit Space Applications Institute (jmg/fireglob/Gba_vgt/GBA-2000_Project)
EG2234: Earth Observation Interactions - Land Dr Mark Cresswell.
Identification of land-use and land-cover changes in East-Asia Masayuki Tamura, Jin Chen, Hiroya Yamano, and Hiroto Shimazaki National Institute for Environmental.
2005 ARM Science Team Meeting, March 14-18, Daytona Beach, Florida Canada Centre for Remote Sensing - Centre canadien de télédétection Geomatics Canada.
Daily BRDF/Albedo Algorithm for MODIS Direct Broadcast Sites Crystal Schaaf(1), Alan Strahler(1), Curtis Woodcock(1), Yanmin Shuai(1), Jicheng Liu(1),
An Improved Global Snow Classification Dataset for Hydrologic Applications (Photo by Kenneth G. Libbrecht and Patricia Rasmussen) Glen E. Liston, CSU Matthew.
Cloud Mask: Results, Frequency, Bit Mapping, and Validation UW Cloud Mask Working Group.
Test of forest classification over Bavaria (Germany) using a SPOT-VGT pixel mosaic Erwann FILLOL, Pamela KENNEDY, Sten FOLVING.
2003 ARM Science Team Meeting, March 31-April 4 Broomfield, Colorado Canada Centre for Remote Sensing - Centre canadien de télédétection Geomatics Canada.
Space Applications Institute Global Vegetation Monitoring Unit GLC 2000 network of partners E. bartholomé, GLC 2000 Workshop, Ispra Nov Implementing.
METEOSAT SURFACE ALBEDO FIRE PERTURBATION PRODUCT (MSAFPP) EVALUATION Bernardo W. Mota 1 José M.C. Pereira 1 Yves Govaerts 2 Ana C.L. Sá 1 João M.N. Silva.
1 Work carried out by SCOT and KUL presented at VEGETATION 2000 Conference with the support of CNES and contribution of JRC and VTT.
Introduction GOES-R ABI will be the first GOES imaging instrument providing observations in both the visible and the near infrared spectral bands. Therefore.
Beyond Spectral and Spatial data: Exploring other domains of information: 3 GEOG3010 Remote Sensing and Image Processing Lewis RSU.
GLC 2000 First Result Workshop March 2002 Multitemporal compositing Approaches for SPOT-4 VEGETATION Data Ana Cabral 1, Maria J.P.de Vasconcelos.
Evaluating different compositing methods using SPOT-VGT S1 data for land cover mapping the dry season in continental Southeast Asia Hans Jurgen StibigSarah.
INTERNATIONAL INSTITUTE FOR GEO-INFORMATION SCIENCE AND EARTH OBSERVATION AN AUTOMATED PROCEDURE FOR MULTI-TEMPORAL THRESHOLD ALGORITHM FOR FOREST FIRE.
GLC 2000 Workshop March 2003 Land cover map of southern hemisphere Africa using SPOT-4 VEGETATION data Ana Cabral 1, Maria J.P. de Vasconcelos 1,2,
Global Vegetation Monitoring Unit Problems encountered using Along Track Scanning Radiometer data for continental mapping over South America Requirement.
Wildland Fire Emissions Study – Phase 2 For WRAP FEJF Meeting Research in progress by the CAMFER fire group: Peng Gong, Ruiliang Pu, Presented by Nick.
Science Review Panel Meeting Biosphere 2, Tucson, AZ - January 4-5, 2011 Vegetation Phenology and Vegetation Index Products from Multiple Long Term Satellite.
Bijay Shrestha NASA RPC Ag-Efficiency, July 10, 2007 DATA FUSION TO PRODUCE CLOUD-FREE TEMPORAL NDVI CROSS PLATFORM COMPOSITES USING TEMPORAL MAP ALGEBRA.
Temporal Classification and Change Detection
Satellite-derived global scale biomass burning products
Joint Remote Sensing Research Program 2016 Research Updates
The Land Cover Map of Northern Eurasia method, product and initial users' feedback Global Land Cover 2000 S. Bartalev, A. Belward EC JRC, Italy   D.
Presentation transcript:

Space Applications Institute Global Vegetation Monitoring Unit Operational Implementation of Burnt Area Algorithms for GBA2000: Initial Results for Australia and Africa Kevin J. Tansey & Jean-Marie Grégoire Global Vegetation Monitoring Unit (GVM) Joint Research Centre (JRC) TP-440, I-21020, Ispra (VA), Italy Tel: GOFC-Fire Satellite Product Validation Workshop

Space Applications Institute Global Vegetation Monitoring Unit Pre-processing Objective oTo produce a ‘clean’, daily, global dataset oPossible cleaning measures: BRDF correction Extreme view zenith masked Maximum NDVI composite masked Cloud masked Cloud shadow masked Non-burnable area masked

Space Applications Institute Global Vegetation Monitoring Unit Maximum off-nadir observation angle = 50.5  Extreme Viewing Zenith Mask Saint, G., 1998, The VEGETATION Programme Maximum viewing zenith angle  60  Viewing zenith angle threshold <= x 

Space Applications Institute Global Vegetation Monitoring Unit Max. NDVI Problems oBoreal forest fire scar detection oSpeckle in cloud and cloud shadows oBRDF correction algorithms could be used oNDVI comp. areas could be masked

Space Applications Institute Global Vegetation Monitoring Unit Cloud Masking oSeveral approaches available: Compositing of cloud-free data Thresholding of SPOT VGT radiance values Use the status map provided with S products oThresholding of b0 (blue) and mir (swir) Values suggested by Kempeneers et al. Vegetation 2000 Meeting, 3-6 April 2000, Lake Maggiore Different thresholds are tested for S products to capture all of the cloud

Space Applications Institute Global Vegetation Monitoring Unit Cloud Shadow Masking oBurnt areas and shadow have similar spectral properties oCalculate cloud -> shadow vector Using available sun and viewing angles Using the latitude and longitude of each pixel oAssume a cloud height (e.g. 10km) Variable input parameter (test on small areas) Or, assume a maximum tropopause height oMask pixels between cloud and shadow Cloud pixel Intermediate shadow pixels Shadow pixel Cloud – shadow vector

Space Applications Institute Global Vegetation Monitoring Unit CLOUD + CLOUD SHADOW

Space Applications Institute Global Vegetation Monitoring Unit Non-Burnable Area Mask oUtilize global land cover products IGBP DIS landcover dataset Loveland, T.R. et al., 2000, IJRS, Vol. 21, Uni. of Maryland global landcover dataset Hansen, M.C. et al., 2000, IJRS, Vol. 21, oMask urban, snow/ice & bare soil classes

Space Applications Institute Global Vegetation Monitoring Unit Compositing Criteria o10-day min-NIR composites No Masking Applied Masking Applied Australia’s Cape York

Space Applications Institute Global Vegetation Monitoring Unit Compositing Improvements o‘Salt and pepper’ speckle removed oPermanently cloudy areas removed oCloud shadow masked oBurnt areas more clearly delimited

Space Applications Institute Global Vegetation Monitoring Unit Compositing Improvements o1 month min-NIR composites No Masking Applied Masking Applied Mozambique

Space Applications Institute Global Vegetation Monitoring Unit Compositing Improvements o1 month min-NIR composites No Masking Applied Masking Applied Mozambique

Space Applications Institute Global Vegetation Monitoring Unit Operational Implementation oSeries of discrete modules oPrograms designed to have maximum functionality and flexibility oWell documented and repeatable oProvide feedback on results to respective partners oTest algorithms over other regions easily oExample of NRI algorithm in C. Africa Boschetti, L. et al., (submitted), A multitemporal change-detection algorithm for the monitoring of burnt areas with SPOT-Vegetation data, MultiTemp 2001 Workshop, September 2001, Trento, Italy

Burnt Area Map (November March 2000) November 1999December 1999January 2000February 2000March 2000 Algorithm defined by NRI, UK

Comoe National Park: Ivory Coast Burnt Dec/Jan National Parks in Benin, Niger and Burkina Fasso Burnt Nov/Dec/Jan Kainji Lake National Park: Nigeria Burnt Dec/Jan Garamba National Park: Zaire Burnt Jan/Feb Murchison Falls National Park: Uganda Burnt Jan/Feb Gambella, Jikoa, Tedo National Parks and CHA’s: Ethiopia Burnt Jan/Feb/March Burning in National Park & Controlled Hunting Areas (CHA’s) November 1999 – March 2000 Algorithm defined by NRI, UK