space applications institute (jmg/fireglob/gba_vgt/gba-2000_project) global vegetation monitoring...

Space Applications Institute(jmg/fireglob/Gba_vgt/GBA-2000_Project) Global Vegetation Monitoring Unit


The Global Burnt Area 2000 initiative: GBA-2000

Mapping, from SPOT-VEGETATION S1 imagery, of the areas burnt globally during the year 2000

An overview

J-M. Grégoire

SAI-GVM

June 2001



The Global Burnt Area 2000 initiative: GBA-2000

A contribution to the Global Land Cover (GLC 2000) initiative

In response to the needs for environmental assessment of the interactions

• between biomass burning and land cover change:Biodiversity, Desertification and Climate Change Conventions

• between biomass burning and emissions of GHG & aerosols:Climate Change Convention



Biomass burning & land cover type/conditionsthree main situations

Regular & frequent burning is a characteristic of the land cover class• some kind of equilibrium between burning & land cover• example: African savannas of the Sudanian domain

Due to land use change, regular & frequent burning did appearrecently, but is not a characteristic of the current land cover class• there is a progressive modification of the land cover type or conditions• example: degraded tropical forests

Burning is an exceptional event, and certainly not a characteristicof the land cover class• there is a drastic & sudden modification of the land cover• example: fire events in evergreen rainforests of the tropical belt



a binary map (burnt-unburnt)

monthly non-accumulative global burn scar map, at 1 km resolution

statistics of burnt areas

area burnt in 2000 per country, per month, and

per main types of vegetation cover (IGBP-DIS, Hansen et al., …….)

GBA-2000 Product definition



GBA-2000 General approach

Selection of a limited number of co-investigators : 8criteria: access to validation data sets & field expertise/contacts

Development of regional algorithms for processing VGT S1 imagery to burnt area maps

Integration of the regional algorithms into a global processing chain at JRC



GBA 2000 Co-InvestigatorsCSIRO(AU) - UTL(P) - NRI(UK) - CNR(I) - CCRS (CA) - CRG (CA) - IFI (RU) - SAI (EU)

GBA test-sites (white rectangles; indicative position), with corresponding geographical coordinates (Ul; LR corners)

63N - 81W44N - 55W(CRG)

62.5N-112W57N-104.5W(CCRS)

18N - 93W7N - 77W(NRI)

5S - 75W20S - 45W(UTL)

17S - 21E28S - 29E(NRI)

10S - 22E28S - 42E(UTL)

18N - 18W0 - 52E(CNR)

44N - 10W36N - 0(UTL)

11S - 125E21S - 135E(CSIRO)

60N - 118E48N - 140E(IFI)

68N - 45E60N - 60E(IFI)

55N - 115E40N - 135E(UTL)

10S - 125E18S - 146E(GVM)



Who is responsible for what ?

• SAI-GVM purchase of the SPOT-VGT S1 time series (costs shared with CNES) delivery (FTP, DAT, DLT …etc) of the regional datasets contribute to the purchase of high resolution imagery for validation implementation of the regional algorithms into a global processing chain overall co-ordination

• Regional Co-Investigators development & test of the regionally adapted algorithms performance assessment of the algorithms delivery of the algorithms to GVM contribution (tbd) to the validation of the end product



Action plan & schedule

Data delivery to Co-I

Development & test of regional algorithms

Performance assessmentof regional algorithms

Consensus on set of regional algorithms

Integration of regional algo. into proc. chain

Generation of the GBA product

Accuracy assessment of the GBA product

Product dissemination

July 00 Jan 01 July 01 Dec 01 July 02



GBA-2000

Methodological component



Pre-processing of the SPOT-VGT S1 time series

Masking

for clouds & cloud shadows (adapted from Kempeneers et al.,2000)

for extreme viewing zenith angles (> 50o)

for max. NDVI composite areas (+/- 32o Lat.)

for non-burnable areas. IGBP-DIS (EDC/USGS). Simple Biosphere Model 2 (EDC). Maryland Global Landcover Dataset (Hansen et al., 2000)



Processing of the SPOT-VGT S1 to burnt area maps

Supervised temporal change detection techniques, on a pixel basisapplied to single date images (NRI, Flasse et al.; UTL, Pereira et al.)

non consecutive images: 5-day cycle (Boschetti et al., 2001)

Supervised temporal change detection techniques, on a pixel basisapplied to composite images (JRC, Stroppiana et al., 2001; IFI, Ershov et al.)

compositing = 10-day, min NIR

Supervised temporal change detection techniques, on a pixel basis but with a spatial dependency (CNR, Brivio et al.)

applied to single date imagescontextual window 3x3neural network approach

3 approaches currently testedAll based on change detection techniques in NIR, SWIR & NDWI



GBA-2000

Validation component



ref. Document prepared by NRI and CNR, and distributed by e_mail

GBA2000-Algorithm performance & final product assessmentComments and suggestions

(NRI and CNR, 21 February 2001)

Guidelines for validation



of the algorithmregression estimator, over the regionscovered by TM data• overall accuracy• omission & comission errors

of the classificationevaluation, on a grid basis over theentire region classified to BA

Outputfor each classification• overall accuracy of the map• overall accuracy of the algorithm• levels of under and overestimation

Performance analysis



Performances of the algorithm

Set of BA maps derivedfrom SPOT-VGT1 map for each classificationtool

BA map derived from highresolution imagery (TM)

Regression estimator

1 to 1 line: level of omission and comission errors regression line: overall accuracy

Samples (14 x 14 km)randomly distributed



GBA 2000: validation sites

GBA validation sites, with corresponding co-investigators

Central Af.Rep. / CNR

Canada / CCRS

NiamibiaBotswana / NRI

Mozambic / UTL

Portugal / UTL

Siberia / IFI + UTL

West Russia / IFI

Guinea / CNR

Australia / JRC + CSIRO

Mexico / NRI



LEGEND OF VEGETATION TYPES IN TM FRAMES

Barren or Sparsely Vegetated Cropland/Natural Vegetation Croplands Evergreen Broadleaf Forest Grasslands Permanent Wetlands Savannas Urban and Built-Up Water Bodies Woody Savannas

N

N

N

N

N

NN

N

N

N

N

N

N

N

NN

N

N

N

N

N

N

N

NN

N

N

N

N

N

N

N

NN

N

N

N

N

N

N

N

NN

N

N

201 - 52

201 - 54

200 - 53

198 - 54

199 - 53

179 - 56 177 - 56

181 - 57

177 - 57

N

EW

S

N

NN

N

N

N

NN

N

N

N

NN

N

N

N

NN

N

N

N

NN

N

N

201-52

201-54

200-53

198-54

199-53

Ivory CostSierra Leone

Liberia

Guinea

Mali

Senegal

Performance analysisRegion: Africa N-Eq. (sub-window 1)Co-I: CNR (Milan)Site(s): TM 201/52 10/12/99

TM 201/54 15/03/00TM 200/53 19/12/99 & 08/03/00TM 199/53 12/12/99TM 198/54 21/12/99



N

N

N

N

N

N

N

N

N

N

N

N

N

N

N

N

N

N

N

N

179-56 177-56

181-57

177-57

Central African Republic

Congo

Sudan

Tchad

N

EW

S

N

N

N

N

N

NN

N

N

N

N

N

N

N

NN

N

N

N

N

N

N

N

NN

N

N

N

N

N

N

N

NN

N

N

N

N

N

N

N

NN

N

N

201 - 52

201 - 54

200 - 53

198 - 54

199 - 53

179 - 56 177 - 56

181 - 57

177 - 57

Barren or Sparsely Vegetated Cropland/Natural Vegetation Croplands Evergreen Broadleaf Forest Grasslands Permanent Wetlands Savannas Urban and Built-Up Water Bodies Woody Savannas

LEGEND OF VEGETATION TYPES IN TM FRAMES

Performance analysisRegion: Africa N-Eq. (sub window 2)Co-I: CNR (Milan)Site(s): TM 181/57 03/03/00

TM 179/56 30/11/99 & 06/04/00TM 177/56 16/11/99 & 04/02/00TM 177/57 02/12/99



Site(s):

TM from 1999

105/69-70; 104/69-70

TM from 2000

105/070 02 - 18 /05/00

03 - 19 /06/00

05 - 21 /07/00

06 - 22 /08/00

07 - 23 /09/00

113/075 08/07/00

02/11/00

110/072 08/07/00

10/09/00

098/070 20/07/00

06/09/00

089/082 22/09/00

11/12/00

Performance analysis Australia

Co-I: GVM (Ispra)

EOC (Canberra)



Performance analysisRussia & Siberia study-sites (IFI)



Performance analysis Far East SiberiaCo-I: IFI (Moscow)

UTL (Lisbon)Site(s): TM 124/22 11/08/00 TM 118/23 14/06/00



Site(s)TM 165/70 10/08/00

11/09/00 27/09/00

Performance analysisMozambic

Co-I: UTL (Lisbon)



Site(s)

TM 204/31 6/10/00

TM 204/32 6/10/00

TM 204/33 6/10/00

TM 204/34 6/10/00

23/10/00

TM 203/31 7/10/00

TM 203/32 7/10/00

TM 203/33 7/10/00

Performance analysis Iberic Peninsula

Co-I: UTL (Lisbon)



Site(s)

TM 179/74 12/08/00

31/10/00

TM 174/74 10/09/00

20/10/00

179-74

174-74

Performance analysis Namibia-Botswana

Co-I: NRI (Chatham)



Site(s)

TM 30/45 18/04/00 20/05/00

TM 33/40 23/04/00 25/05/00

30-45

33-40

Performance analysis Mexico

Co-I: NRI (Chatham)



Site(s)

TM 43-17 16/06/0004/09/00

TM 40-18 15/09/00TM 41-18 18/09/99

Performance analysis CanadaCo-I: CCRS (Ottawa)



GBA-2000 Status on June 2001

Data distribution to co-investigators completed

Development of regional algorithms+ completed for . Australia test-site

. Africa, Namibia/Botswana site

. Africa, Northern hemisphere+ initiated for . Africa, Mozambic test-site

. Russia, Far East Siberia

. Canada+ evaluation during the GOFC-Fire workshop, Lisbon, July 9-11

Performance analysis+ initiated for Australia & Africa

Global processing chain at JRC+ pre-processing module completed+ processing module: tests started over . African continent

. Australia

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