Relative Greenness Index for assessing curing of grassland fuel

Remote Sensing of Environment

Volumn 115, Issue 6, 2011, Pages 1456-1463

  Newnham, Glenn J ^a,d   Verbesselt, Jan ^e   Grant, Ian F ^b,d   Anderson, Stuart A J ^c,d  

^a CSIRO   (Australia)

^b BUREAU OF METEOROLOGY   (Australia)

^c Ministry for Primary Industries   (New Zealand)

^d BUSHFIRE COOPERATIVE RESEARCH CENTRE   (Australia)

^e WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

Cover fractions; Fire danger; Fuel moisture; Grassland; MODIS; NDVI

Indexed keywords

COVER FRACTIONS; FIRE DANGER; FUEL MOISTURE; GRASSLAND; MODIS; NDVI;

CURING; MOISTURE; RADIOMETERS; RATING; SATELLITE IMAGERY; TIME SERIES; VEGETATION;

FUELS;

FUELWOOD; GRASSLAND; HERB; MODIS; NDVI; REGRESSION ANALYSIS; SURFACE REFLECTANCE; TEMPORAL DISTRIBUTION; TIME SERIES;

AUSTRALIA;

EID: 79953232322     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2011.02.005     Document Type: Article

References (51)

1. Aguado I., Chuvieco E., Martin P., Salas J. Assessment of forest fire danger conditions in southern Spain from NOAA images and meteorological indices. International Journal of Remote Sensing 2003, 24:1653-1668.
2. Alexander, M.E. (2008). Proposed revision of fire danger class criteria for forest and rural areas in New Zealand. Second edition (reprint with corrections). unpublished report: National Rural Fire Authority in association with Scion, Rural Fire Research Group, Wellington and Christchurch.
3. Anderson S.A.J. Forest and rural fire danger rating. Forestry Handbook 2005, 241-244. New Zealand Institute of Forestry Inc, Christchurch. M. Colley (Ed.).
4. Barber J. Monitoring the curing of grassland fire fuels in Victoria, Australia with sensors in satellites and aircraft. A Country Fire Authority study in Remote Sensing 1990, CFA, Melbourne.
5. Barbosa P.M., Stroppiana D., Gregoire J.M., Pereira J.M.C. An assessment of vegetation fire in Africa (1981-1991): Burned areas, burned biomass, and atmospheric emissions. Global Biogeochemical Cycles 1999, 13:933-950.
6. Bureau of Meteorology (2003). Australian climatic zones based on temperature and humidity. electronic resource, last accessed June 3, 2010, Commonwealth of Australia. http://www.bom.gov.au/climate/environ/travel/map.shtml.
7. Burgan R.E., Hartford R.A. Monitoring vegetation greenness with satellite data: US Dept. of Agriculture, Forest Service, Intermountain Research Station 1993.
8. Burgan R.E., Klaver R.W., Klaver J.M. Fuel models and fire potential from satellite and surface observations. International Journal of Wildland Fire 1998, 8:159-170.
9. Cheney P., Gould J.S., Catchpole W.R. Prediction of fire spread in grasslands. International Journal of Wildland Fire 1998, 8:1-13.
10. Cheney P., Sullivan A. Grassfires: Fuel, weather and fire behaviour 1997, CSIRO Publishing, Melbourne.
11. Cheret V., Denux J.P. Mapping wildfire danger at regional scale with an index model integrating coarse spatial resolution remote sensing data. Journal of Geophysical Research, Biogeosciences 2006, 112:1-11.
12. Chuvieco E. A review of remote sensing methods for the study of large wildland fires. Megafires project ENV-CT96-0256). Spain 1997.
13. Chuvieco E., Salas F.J., Vega C. Remote sensing and GIS for long-term fire risk mapping. A review of remote sensing methods for the study of large wildland fires 1997, 91-108.
14. Davidson A., Wang S., Wilmshurst J. Remote sensing of grassland-shrubland vegetation water content in the shortwave domain. International Journal of Applied Earth Observation and Geoinformation 2006, 8:225-236.
15. Deeming J.E., Burgan R.E., Cohen J.D. The national fire-danger rating system-1978. Gen. Tech. Rep. INT-39. Ogden, UT: US Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station 1977, 63.
16. Dilley A., Millie S., O'Brien D., Edwards M. The relation between Normalized Difference Vegetation Index and vegetation moisture content at three grassland locations in Victoria, Australia. International Journal of Remote Sensing 2004, 25:3913-3928.
17. Fensholt R., Rasmussen K., Nielsen T.T., Mbow C. Evaluation of earth observation based long term vegetation trends-Intercomparing NDVI time series trend analysis consistency of Sahel from AVHRR GIMMS, Terra MODIS and SPOT VGT data. Remote Sensing of Environment 2009, 113:1886-1898.
18. Gao F., Jin Y., Schaaf C.B., Strahler A.H. Bidirectional NDVI and atmospherically resistant BRDF inversion for vegetation canopy. Geoscience and Remote Sensing, IEEE Transactions on 2002, 40:1269-1278.
19. Guerschman J.P., Hill M.J., Renzullo L.J., Barrett D.J., Marks A.S., Botha E.J. Estimating fractional cover of photosynthetic vegetation, non-photosynthetic vegetation and bare soil in the Australian tropical savanna region upscaling the EO-1 Hyperion and MODIS sensors. Remote Sensing of Environment 2009, 113:928-945.
20. Gutman G., Ignatov A. The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models. International Journal of Remote Sensing 1998, 19:1533-1543.
21. Hardy C.C., Burgan R.E. Evaluation of NDVl for monitoring live moisture in three vegetation types of the Western US. Photogrammetric Engineering and Remote Sensing 1999, 65:603-610.
22. Holben B.N. Characteristics of maximum-value composite images from temporal AVHRR data. International Journal of Remote Sensing 1986, 7:1417-1434.
23. Huete A.R. A Soil-Adjusted Vegetation Index (SAVI). Remote Sensing of Environment 1988, 25:295-309.
24. Jupp D.L.B., Walker J., Penridge L.K. Interception of Vegetation Structure in Landsat MSS Imagery: A case study in distributed semi-arid eucalypt woodland. Part 2 model based analysis. Journal of Environmental Management 1986, 23:35-57.
25. Kogan F.N. Remote sensing of weather impacts on vegetation in non-homogeneous areas. International Journal of Remote Sensing 1990, 11:1405-1419.
26. Lasaponara R. Inter-comparison of AVHRR-based fire susceptibility indicators for the Mediterranean ecosystems of southern Italy. International Journal of Remote Sensing 2005, 26:853-870.
27. Levy E.B., Madden E.A. The point method of pasture analysis. New England Journal of Agriculture 1933, 46:267-279.
28. Lewis A. Defining scale in the assessment of environmental variables. Proceedings of the 7th Australasian Remote Sensing Conference. Melbourne 1994.
29. Li X., Strahler A.H. Geometric-optical modeling of a conifer forest canopy. IEEE Transactions on Geoscience and Remote Sensing 1985, GE-23:705-721.
30. Maselli F., Conese C., Petkov L., Gilabert M.A. Environmental monitoring and crop forecasting in the Sahel through the use of NOAA NDVI Data: A case study Niger 1986-89. International Journal of Remote Sensing 1993, 14:3471-3487.
31. McArthur, A.G. (1966). Weather and grassland fire behaviour. unpublished report: leaflet No. 100, Department of National Development, Forestry and Timber Bureau, Forestry Research Institute, Canberra.
32. Paget M.J., King E.A. MODIS land data sets for the Australian region. Electronic resource last accessed June 3, 2010, CSIRO Marine and Atmospheric Research, Canberra, Australia. http://www.cmar.csiro.au/e-print/open/2008/Pagetmj_a.pdf.
33. Paltridge G.W., Barber J. Monitoring grassland dryness and fire potential in Australia with NOAA/AVHRR data. Remote Sensing of Environment 1988, 25:381-394.
34. Peterson S.H., Roberts D.A., Dennison P.E. Mapping live fuel moisture with MODIS data: A multiple regression approach. Remote Sensing of Environment 2008, 112:4272-4284.
35. Roberts D.A., Dennison P.E., Peterson S., Sweeney S., Rechel J. Evaluation of Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) and Moderate Resolution Imaging Spectrometer (MODIS) measures of live fuel moisture and fuel condition in a shrubland ecosystem in southern California. Journal of Geophysical Research 2006, 111:G04S02.
36. Roujean J.L., Leroy M., Deschamps P.Y. A bidirectional reflectance model of the Earth's surface for the correction of remote sensing data. Journal of Geophysical Research, [Atmospheres] 1992, 97:20455-20468.
37. Schneider P., Roberts D.A., Kyriakidis P.C. A VARI-based relative greenness from MODIS data for computing the Fire Potential Index. Remote Sensing of Environment 2008, 112:1151-1167.
38. Stocks B.J., Lawson B.D., Alexander M.E., Van Wagner C.E., McAlpine R.S., Lynham T.J., et al. Canadian Forest Fire Danger Rating System: An overview. Forestry Chronicle 1989, 65:258-265.
39. Tukey J.W. Comparing individual means in the analysis of variance. Biometrics 1949, 5:99-114.
40. van Leeuwen W.J.D., Huete A., Laing T.W. MODIS vegetation index compositing approach: A prototype with AVHRR data. Remote Sensing of Environment 1999, 69:264-280.
41. Verbesselt J., Hyndman R., Newnham G., Culvenor D. Detecting trend and seasonal changes in satellite image time series. Remote Sensing of Environment 2010, 114:106-115.
42. Vermote E.F., El Saleous N.Z., Justice C.O. Atmospheric correction of MODIS data in the visible to middle infrared: First results. Remote Sensing of Environment 2002, 83:97-111.
43. Vermote E.F., Kotchenova S. Atmospheric correction for the monitoring of land surfaces. Journal of Geophysical Research, [Atmospheres] 2008, 113(D23S90).
44. Vermote E.F., Kotchenova S.Y., Ray J.P. MODIS surface reflectance user's guide electronic resource last accessed January 28, 2011, University of Maryland. http://modis-sr.ltdri.org/products/MOD09_UserGuide_v1_2.pdf.
45. Vermote E.F., Vermeulen A. MODIS atmospheric correction algorithm: Spectral reflectances (MOD09). Electronic resource last accessed June 3, 2010, University of Maryland. http://modis.gsfc.nasa.gov/data/atbd/atbd_mod08.pdf.
46. Viovy N., Arino O., Belward A.S. The Best Index Slope Extraction (BISE): A method for reducing noise in NDVI time-series. International Journal of Remote Sensing 1992, 13:1585-1590.
47. Wanner W., Li X., Strahler A.H. On the derivation of kernels for kernel-driven models of bidirectional reflectance. Journal of Geophysical Research, [Atmospheres] 1995, 100:21077-21089.
48. Warren-Wilson J. Analysis of the spatial distribution of foliage by two-dimensional point quadrats. The New Phytologist 1959, 58:92-99.
49. Warren-Wilson J. Estimation of foliage denseness and foliage angle by inclined point quadrats. Australian Journal of Botany 1963, 11:95-105.
50. White M.A., Thornton P.E., Running S.W. A continental phenology model for monitoring vegetation responses to interannual climatic variability. Global Biogeochemical Cycles 1997, 11:217-234.
51. Wotton B.M., Alexander M.E., Taylor S.W., Great Lakes Forestry C. Updates and Revisions to the 1992 Canadian Forest Fire Behavior Prediction System: Information Report GLC-X-10 Great Lakes Forestry Centre 2009, Sault Ste, Marie, Ontario.