Comparing the accuracies of remote sensing global burned area products using stratified random sampling and estimation

Remote Sensing of Environment

Volumn 160, Issue , 2015, Pages 114-121

  Padilla, Marc ^a,c   Stehman, Stephen V ^b   Ramo, Ruben ^a   Corti, Dante ^a   Hantson, Stijn ^a   Oliva, Patricia ^a   Alonso Canas, Itziar ^a   Bradley, Andrew V ^c,d   Tansey, Kevin ^c   Mota, Bernardo ^e,f   Pereira, Jose Miguel ^e   Chuvieco, Emilio ^a  

^a UNIVERSITY OF ALCALÁ   (Spain)

^b STATE UNIVERSITY OF NEW YORK   (United States)

^c UNIVERSITY OF LEICESTER   (United Kingdom)

^d IMPERIAL COLLEGE LONDON   (United Kingdom)

^e INSTITUTO SUPERIOR DE AGRONOMIA   (Portugal)

^f KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

Error matrix; Fire disturbance; Probability sampling; Validation

Indexed keywords

CLIMATE CHANGE;

ERROR MATRICES; EUROPEAN SPACE AGENCY; FIRE DISTURBANCE; PROBABILITY SAMPLING; STATISTICAL SIGNIFICANCE; STRATIFIED RANDOM SAMPLING; VALIDATION; VEGETATION SENSORS;

REMOTE SENSING;

ACCURACY ASSESSMENT; COMPUTER SIMULATION; DATA SET; DISTURBANCE; ESTIMATION METHOD; FIRE BEHAVIOR; LANDSAT THEMATIC MAPPER; MATRIX; MERIS; REMOTE SENSING; SAMPLING;

EID: 85027950586     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.01.005     Document Type: Article

References (40)

1. Alonso-Canas I. and Chuvieco E., Global Burned Area Mapping from ENVISAT-MERIS and MODIS active fire data, Remote Sensing of Environment (submitted for publication).
2. Bastarrika A., Chuvieco E., Martin M.P. Mapping burned areas from Landsat TM/ETM+ data with a two-phase algorithm: Balancing omission and commission errors. Remote Sensing of Environment 2011, 115:1003-1012.
3. Boschetti L., Flasse S.P., Brivio P.A. Analysis of the conflict between omission and commission in low spatial resolution dichotomic thematic products: The Pareto Boundary. Remote Sensing of Environment 2004, 91:280-292.
4. Boschetti L., Roy D.P., Justice C.O. International global burned area satellite product validation protocol. Part I-Production and standardization of validation reference data 2009, 1-11. Committee on Earth Observation Satellites, USA. CEOS-CalVal (Ed.).
5. Boschetti L., Roy D.P., Justice C.O., Giglio L. Global assessment of the temporal reporting accuracy and precision of the MODIS burned area product. International Journal of Wildland Fire 2010, 19:705-709.
6. Bowman D.M.J.S., Balch J.K., Artaxo P., Bond W.J., Carlson J.M., Cochrane M.A., et al. Fire in the Earth system. Science 2009, 324:481-484.
7. CEOS-WGCV Working group on calibration and validation-Land product validation subgroup 2012, (http://lpvs.gsfc.nasa.gov/).
8. Chuvieco E. ESA CCI ECV fire disturbance-Product specification document. ESA Fire-CCI project 2013.
9. Chuvieco E., Opazo S., Sione W., Del Valle H., Anaya J., Di Bella C., et al. Global burned land estimation in Latin America using MODIS composite data. Ecological Applications 2008, 18:64-79.
10. Cochran W.G. Sampling techniques 1977, John Wiley & Sons, New York, USA. 3rd ed.
11. Cohen W.B., Yang Z., Kennedy R.E. Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync-Tools for calibration and validation. Remote Sensing of Environment 2010, 114:2911-2924.
12. Congalton R.G., Green K. Assessing the accuracy of remotely sensed data: Principles and applications 1999, Lewis Publishers, Boca Raton.
13. Dice L.R. Measures of the amount of ecologic association between species. Ecology 1945, 26:297-302.
14. Fielding A.H., Bell J.F. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation 1997, 24:38-49.
15. Fleiss J.L. Statistical methods for rates and proportions 1981, John Wiley & Sons, Canada.
16. Forbes A.D. Classification-algorithm evaluation: Five performance measures based on confusion matrices. Journal of Clinical Monitoring 1995, 11:189-206.
17. GCOS Implementation plan for the global observing system for climate in support of the UNFCCC 2004, World Meteorological Organization (Ed.).
18. Giglio L., Loboda T., Roy D.P., Quayle B., Justice C.O. An active-fire based burned area mapping algorithm for the MODIS sensor. Remote Sensing of Environment 2009, 113:408-420.
19. Giglio L., Randerson J.T., van der Werf G.R. Analysis of daily, monthly, and annual burned area using the fourth-generation global fire emissions database (GFED4). Journal of Geophysical Research, Biogeosciences 2013, 118:317-328.
20. Giglio L., Randerson J.T., van der Werf G.R., Kasibhatla P., Collatz G.J., Morton D.C., et al. Assessing variability and long-term trends in burned area by merging multiple satellite fire products. Biogeosciences Discussions 2010, 7:1171.
21. Hand D.J. Discrimination and classification 1981, John Wiley and Sons, New York.
22. Hellden U. A test of Landsat-2 imagery and digital data for thematic mapping, illustrated by an environmental study in northern Kenya 1980, Lund University Natural Geography Institute, Sweden.
23. Kennedy R.E., Yang Z., Cohen W.B. Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr-Temporal segmentation algorithms. Remote Sensing of Environment 2010, 114:2897-2910.
24. Latifovic R., Olthof I. Accuracy assessment using sub-pixel fractional error matrices of global land cover products derived from satellite data. Remote Sensing of Environment 2004, 90:153-165.
25. Liu C., Frazier P., Kumar L. Comparative assessment of the measures of thematic classification accuracy. Remote Sensing of Environment 2007, 107:606-616.
26. Miller R.G. Simultaneous statistical inference 1966, McGraw-Hill, London, United Kingdom.
27. Mouillot F., Schultz M.G., Yue C., Cadule P., Tansey K., Ciais P., et al. Ten years of global burned area products from spaceborne remote sensing-A review: Analysis of user needs and recommendations for future developments. International Journal of Applied Earth Observation and Geoinformation 2014, 26:64-79.
28. Olson D.M., Dinerstein E., Wikramanayake E.D., Burgess N.D., Powell G.V.N., Underwood E.C., et al. Terrestrial ecoregions of the world: A new map of life on Earth. BioScience 2001, 51:933-938.
29. Padilla M., Stehman S.V., Chuvieco E. Validation of the 2008 MODIS-MCD45 global burned area product using stratified random sampling. Remote Sensing of Environment 2014, 144:187-196.
30. Padilla M., Stehman S.V., Litago J., Chuvieco E. Assessing the temporal stability of the accuracy of a time series of burned area products. Remote Sensing 2014, 6:2050-2068.
31. Pereira J.M., Mota B., Calado T., Oliva P., González-Alonso F. ESA CCI ECV fire disturbance-Algorithm theoretical basis document-Volume II-BA algorithm development. ESA Fire-CCI project 2013.
32. Plummer S., Arino O., Ranera F., Tansey K., Chen J., Dedieu G., et al. An update on the GlobCarbon initiative: Multi-sensor estimation of global biophysical products for global terrestrial carbon studies. Envisat Symposium 2007, European Space Agency, Montreux, Switzerland.
33. Roy D.P., Boschetti L. Southern Africa validation of the MODIS, L3JRC, and GlobCarbon burned-area products. IEEE Transactions on Geoscience and Remote Sensing 2009, 47:1032-1044.
34. Roy D.P., Boschetti L., Justice C.O., Ju J. The collection 5 MODIS burned area product-Global evaluation by comparison with the MODIS active fire product. Remote Sensing of Environment 2008, 112:3690-3707.
35. Roy D., Jin Y., Lewis P., Justice C. Prototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data. Remote Sensing of Environment 2005, 97:137-162.
36. Stehman S.V., Arora M., Kasetkasem T., Varshney P. Estimation of fuzzy error matrix accuracy measures under stratified random sampling. Photogrammetric Engineering and Remote Sensing 2007, 73:165-174.
37. Tansey K., Bradley A., Padilla M. ESA CCI ECV fire disturbance-Algorithm theoretical basis document-Volume III-BA merging. ESA Fire-CCI project 2014.
38. Tansey K., Brandley A., Smets B., van Best C., Lacaze R. The Geoland2 BioPar burned area product. EGU general assembly 2012, 4727. Copernicus, Vienna, Austria. E.G. Union (Ed.).
39. Tansey K., Grégoire J.-M., Defourny P., Leigh R., Pekel J.-F., Bogaert E., et al. A new, global, multi-annual (2000-2007) burnt area product at 1km resolution. Geophysical Research Letters 2008, 35. L01401. 10.1029/2007GL03156.
40. van der Werf G.R., Randerson J.T., Collatz G.J., Giglio L., Kasibhatla P.S., Arellano A.F., et al. Continental scale-partitioning of fire emissions during the 1997 to 2001 El Niño/La Niña period. Science 2004, 303:73-76.