Abstract
Forest, shrub-steppe, and grassland fires have come under the inclusive terminology of wildland fire. In the past decade, fire occurrence and area of surface burned has increased dramatically. This increase in wildland fire frequency and intensity has been driven by climate variability and in some countries, worsened by fuel management policies. Many areas that have been burned are in remote areas of the world where collection of information on fires is either difficult or impossible on the ground. Satellite remote sensing has been applied to this problem with some remarkable successes in locating large fires, mapping the areas burned, and tracking smoke plumes. For smaller fires, pixel size limitations have led to use of aircraft based sensor development. To understand fire ecological consequences, parameters such as fire intensity, fuel consumed, and heat release rate to atmosphere must be understood. In parts of the Southwest Pacific Region, the potential for fire occurrence is exacerbated by lack of infrastructure common to more developed areas. The use of remote sensing, geographic information systems, and computer models will allow fires to manage to lower risks.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Aber J, Neilson RP, McNulty S, Lenihan JM, Bachelet D, Drapek RJ (2001) Forest Processes and Global Change: Predicting the Effects of Individual and Multipule Stressors. Bioscience. Vol. 51 No. 9. 2001. 735–751.
Andrews PL, and Bevins CD (1992) BEHAVE Fire Modeling System Redesign and Exopnasion. Fire Management Notes, 59(2): 16–19.
Bachelet, Dominique, Neilson RP, Leniham JM, and Drapek RJ (2001) Climate Change Effects on Vegetation Distribution and Carbon Budget in the United States. Ecosystems. Vol.4. 164–185.
Battye W and Battye R (2002) Development of Emissions Inventory Methods for Wildland Fire. Final Report. Prepared for: Thompson G. Pace, U.S. Environmental Protection Agency EPA Contract No. 68-D-98-046. Prepared by EC/R Incorporated.
Burgan, Klaver, Klaver (1998) Fuel Models and Fire Potential from Satellite and Surface Observations, International Journal of Wildland Fire, 8(3): 159–170.
Burgan RE and Hartford R A (1993) Monitoring Vegetation Greenness with Satellite Data. United States Department of Agriculture, Forest Service, General Technical Report INT-297, Intermountain Forest and Range Experiment Station, Ogden, Utah. 13 pages.
Chubarova NYe, Prilepsky NG, Riebau AR, Shoettle AW, Musselman R, Uliumdzhieva NN, Yurova AYu, Potter B and Rublev AN (2003) A Natural Fire Experiment in Central Russia: Meteorology, Radiative Transfer and Optical Properties of the Atmosphere and Resulting Effects on Boreal Forest Plants. AMS Orlando Florida Specialty Conference on Wildfire. 5 pgs.
Deeming JE, Burgan RE and Cohen JD (1977) The National Fire-Danger RatingSystem — 1978. Gen. Tech. Rep. INT-39. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station. 63 pp.
Fosberg MA (1978) Weather in wildland fire management: the fire weather index. Proc. of the Conference on Sierra Nevada Meteorology, South Lake Tahoe, 1–4.
Fox DA and Riebau AR (2000). Technically Advanced Smoke Estimation Tools (TASET). Project Final Report. Colorado State University, Cooperative Institute for Research of the Atmosphere. Fort Collins, Colorado. 99 pgs.
Grell GA, Duhia J and Stauffer DR (1994) A description of the Fifth Generation Penn-State./NCAR Mesoscale Meteorological Model (MM5). NCAR Technical Note NCAR/TN — 398 + STR, 138 pages.
Haines DA (1988) A lower atmospheric severity index for wildland fire. National Weather Digest. Vol 13. No. 2:23–27.
Hao, Wei Min, Salmon JM, Nordgren BM, Kaufman YJ and Rong-Rong L (2003) Daily Emissions of CO and Pm2.5 from a Large Fire in the US Using MODIS Data. IGBP Workshop on the Integrated Land Ecosystem — Atmosphere Process Study. 4 pgs.
Pittock A (1990) The enhanced greenhouse effect and its agricultural impact. In the conference proceedings for Climatic variations and change: Implications for agriculture in the Pacific Rim, 46–55. Davis, CA: University of California, Public Service Research and Dissemination Program. 12 pgs.
Qu J, Kafatos M, Hao X, Riebau A and Liu Y (2003) Estimating of Fire Danger Potential Using MODIS Measurements, Processing of ISPRS (CD-ROM Publication).
Qu J and Wolf H (2003) Wildfire behavior science & modeling strategic planning, presentation for USDA/FS R&D, National Fire Plan, January 2003, 16–17, New Orleans, LA.
Qu J et al. (2002) Responding to the Challenge of Producing and Distributing MODIS Data at the NASA/GES DISC via the Remote Sensing Information Partners (RSIP) Program, Proceeding of IGARSS’ 2002 (CD-ROM publication).
Qu J, Serafino G, Kafatos M, Lathrop R and Trimble J (2001) New application of Earth science remote sensing data at NASA/GDISC: Remote Sensing Information Partner (RSIP) with Rutgers University. In Proceedings. International Geoscience and Remote Sensing Symposium (IGARSS) 2001, July 9–13, at University New South Wales, Sydney (CD-ROM, publication).
Qu J, Sestak ML, Riebau AR and Smith LR (1994) Study of El Nino and Southern Oscillation (ENSO) Impact on Drought and Wetness in the Western United States, CONFERENCE ON CLIMATE VARIATIONS; 6th: Jan 1994; pp. 101–104.
Qu J and Phil Omi (1993) Potential Impact of Global Climate Changes on Wildfire Activity in USA. The proceeding of the 12th International Fire and Forest Meteorology, October 26–29, 1993, at Jekyll Island, George, USA.
Riebau AR, Fox DG, Hirami P, McClelland T, and Fisher R(2003) Fire Consortia for Advanced Modeling of Meteorology and Smoke — FCAMMS: A National Paradigm for Wildland Fire and Smoke Management. AMS Specialty Conference on Wildland Fire. 12 pgs.
Sestak ML, O’Neill S, Ferguson S, Ching J and Fox D (2002) Integration of Wildfire Emissions Into Models-3/Cmaq With The Prototypes: Community Smoke Emissions Modeling System (CSEM) and BlueSky. CMAS Conference extended abstracts.
United States Department of Agriculture (USDA) Forest Service (2001) “National Fire Plan Research and Development 2001 Business Summary”. 36 pgs.
United States Department of the Interior (US DOI) (2002)LANDFIRE Prototype Information Bulletin # 1. 3 pgs.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Riebau, A.R., Qu, J.J. (2005). Application of Remote Sensing and GIS for Analysis of Forest Fire Risk and Assessment of Forest Degradation. In: Sivakumar, M.V., Motha, R.P., Das, H.P. (eds) Natural Disasters and Extreme Events in Agriculture. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-28307-2_19
Download citation
DOI: https://doi.org/10.1007/3-540-28307-2_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22490-7
Online ISBN: 978-3-540-28307-2
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)