Satellite Remote Sensing for Conservation Action Case Studies from Aquatic and Terrestrial Ecosystems
Book contents
- Satellite Remote Sensing for Conservation Action
- Satellite Remote Sensing for Conservation Action
- Copyright page
- Contents
- Contributors
- Preface
- Acknowledgements
- 1 A Brief Introduction to Conservation and Conservation Remote Sensing
- 2 Introduction to Remote Sensing for Conservation Practitioners
- 3 Satellite Remote Sensing for the Conservation of East Asia’s Coastal Wetlands
- 4 Global Forest Maps in Support of Conservation Monitoring
- 5 Wildfire Monitoring with Satellite Remote Sensing in Support of Conservation
- 6 Ecosystem Functioning Observations for Assessing Conservation in the Doñana National Park, Spain
- 7 Predicting Mule Deer Harvests in Real Time
- 8 Lessons Learned from WhaleWatch
- 9 The Evolution of Remote Sensing Applications Vital to Effective Biodiversity Conservation and Sustainable Development
- 10 Operational Conservation Remote Sensing
- Index
- Plate Section
- References
5 - Wildfire Monitoring with Satellite Remote Sensing in Support of Conservation
Published online by Cambridge University Press: 23 July 2018
Book contents
- Satellite Remote Sensing for Conservation Action
- Satellite Remote Sensing for Conservation Action
- Copyright page
- Contents
- Contributors
- Preface
- Acknowledgements
- 1 A Brief Introduction to Conservation and Conservation Remote Sensing
- 2 Introduction to Remote Sensing for Conservation Practitioners
- 3 Satellite Remote Sensing for the Conservation of East Asia’s Coastal Wetlands
- 4 Global Forest Maps in Support of Conservation Monitoring
- 5 Wildfire Monitoring with Satellite Remote Sensing in Support of Conservation
- 6 Ecosystem Functioning Observations for Assessing Conservation in the Doñana National Park, Spain
- 7 Predicting Mule Deer Harvests in Real Time
- 8 Lessons Learned from WhaleWatch
- 9 The Evolution of Remote Sensing Applications Vital to Effective Biodiversity Conservation and Sustainable Development
- 10 Operational Conservation Remote Sensing
- Index
- Plate Section
- References
Summary
This chapter finds its rationale in the key ecological role fire plays on ecosystems and biodiversity. In particular, it focuses on the use of satellite information to improve habitat monitoring in protected areas. Conservation practitioners need this information to meet their goals and improve management effectiveness. To address these needs, the European Commission worked in collaboration with conservation institutions and protected areas in Africa to build two systems for the distribution of satellite-based information to support conservation and decision making. The first system, the Fire Monitoring Tool, is a stand-alone web portal which provides near-real time information of fire activity based on the Moderate Resolution Imaging Spectroradiometer (MODIS). The tool provides specific ecological indicators about fire in the world protected areas. Whereas the second system, the eStation, is a network of servers receiving EO-based products, including wildfire, used for protected area ecological assessment, but also national and regional environmental monitoring. The benefits provided by the systems are described in two case studies in Tanzania and Niger. The examples show how park ecologists have improved habitat monitoring and conservation efforts in the protected areas and how this can be repeated in other conservation areas.
- Type
- Chapter
- Information
- Satellite Remote Sensing for Conservation ActionCase Studies from Aquatic and Terrestrial Ecosystems, pp. 119 - 163Publisher: Cambridge University PressPrint publication year: 2018
References
Archer, A. J. (2000). Pinus serotina. Fire Effects Information System. US Department of Agriculture. See www.feis-crs.org/feis/.Google Scholar
Arno, S. F. (1996). The seminal importance of fire in ecosystem management. In The Use of Fire in Forest Restoration: USDA Forest Service General Technical Report INT-GTR-341. Ogden, UT: Intermountain Research Station.Google Scholar
Barbosa, P., Stroppiana, D., Grégoire, J.-M., and Pereira, J. M. C. (1999). An assessment of vegetation fire in Africa (1981–1991): burned areas, burned biomass, and atmospheric emissions. Global Biogeochemal Cycles, 13, 933–950.CrossRefGoogle Scholar
Bond, W. J., Woodward, F. I., and Midgley, G. F. (2005). The global distribution of ecosystems in a world without fire. New Phytologist, 165, 525–538.CrossRefGoogle Scholar
Boschetti, L., Roy, D. P., Justice, C. O., and Humber, M. L. (2015). MODIS–Landsat fusion for large area 30 m burned area mapping. Remote Sensing of Environment, 161, 27–42.CrossRefGoogle Scholar
Bowman, D. M. J. S., O’Brien, J. A., and Goldammer, J. G. (2013). Pyrogeography and the global quest for sustainable fire management. Annual Review of Environment and Resources, 38, 57–80.CrossRefGoogle Scholar
Clerici, M., Combal, B., Pekel, J. F., et al. (2013). The eStation, an Earth observation processing service in support to ecological monitoring. Ecological Informatics, 18, 162–170.CrossRefGoogle Scholar
Davies, D. K., Ilavajhala, S., Wong, M. M. and Justice, C. O. (2009). Fire Information for Resource Management System: archiving and distributing MODIS active fire data. IEEE Transactions on Geoscience and Remote Sensing, 47, 72–79.CrossRefGoogle Scholar
Dwyer, E., Pereira, J. M. C., Grégoire, J-M., and Dacamara, C. C. (1999). Characterization of the spatio-temporal patterns of global fire activity using satellite imagery for the period April 1992 to March 1993. Journal of Biogeography, 27, 57–69.CrossRefGoogle Scholar
Dwyer, E., Pinnock, S., Grégoire, J. M., and Pereira, J. M. C. (2000). Global spatial and temporal distribution of vegetation fire as determined from satellite observations. International Journal of Remote Sensing, 21, 1289–1302.CrossRefGoogle Scholar
Eva, H. D., Malingreau, J. P., Gregoire, J. M., and Belward, A. S. (1998). The advance of burnt areas in Central Africa as detected by ERS-1 ATSR-1. International Journal of Remote Sensing, 19, 1635–1637.CrossRefGoogle Scholar
Giglio, L., Kendall, J. D., and Justice, C. O. (1999). Evaluation of global fire detection algorithms using simulated AVHRR infrared data. International Journal of Remote Sensing, 20, 1947–1985.CrossRefGoogle Scholar
Giglio, L., Descloitres, J., Justice, C. O., and Kaufman, Y. (2003a). An enhanced contextual fire detection algorithm for MODIS. Remote Sensing of Environment, 87, 273–282.CrossRefGoogle Scholar
Giglio, L., Kendall, J., and Mack, R. (2003b). A multi-year active fire dataset for the tropics derived from the TRMM VIRS. International Journal of Remote Sensing, 24, 4505–4525.CrossRefGoogle Scholar
Govender, N., Trollope, W., and Van Wilgen, B. (2006). The effect of fire season, fire frequency, rainfall and management on fire intensity in savanna vegetation in South Africa. Journal of Applied Ecology, 43, 748–58.CrossRefGoogle Scholar
Gerard, F., Plummer, S., Wadsworth, R., et al. (2003). Forest fire scar detection in the boreal forest with multitemporal SPOT-VEGETATION data. IEEE Transactions on Geoscience and Remote Sensing, 41, 2575–2585.CrossRefGoogle Scholar
Grégoire, J-M., Tansey, K., and Silva, J. M. N. (2003). The GBA 2000 initiative: developing a global burned area database from SPOT Vegetation imagery. International Journal of Remote Sensing, 24, 1369–1376.CrossRefGoogle Scholar
Hardesty, J., Myers, R. L., and Fulks, W. (2005). Fire, ecosystems, and people: a preliminary assessment of fire as a global conservation issue. The George Wright Forum. 22, 78–87.Google Scholar
Komarek, E. V. (1983). Fire as an anthropogenic factor in vegetation ecology. In Holzner, W., Werger, M. J. A., and Ikusima, I., eds., Man’s Impact on Vegetation. Boston, MA: Dr W. Junk Publishers: pp. 77–82.CrossRefGoogle Scholar
Kaufman, Y., Remer, L. Ottmar, R., et al. (1996). Relationship between remotely sensed fire intensity and rate of emission of smoke: SCAR-C experiment. In Levine, J., ed.,Global Biomass Burning, Cambridge, MA: MIT Press, pp. 685–696.Google Scholar
Kasischke, E. S., Bergen, K., Fennimore, R., et al. (1999). Satellite imagery gives clear picture of Russia’s boreal forest fires. Eos, Transactions American Geophysical Union, 80, 141–147.CrossRefGoogle Scholar
Laris, P. (2011). Humanizing savanna biogeography: linking human practices with ecological patterns in a frequently burned savanna of southern Mali. Annals of the Association of American Geographers, 101, 1067–1088.CrossRefGoogle Scholar
Li, F., Bond-Lamberty, B., and Levis, S. (2014). Quantifying the role of fire in the Earth system – Part 2: impact on the net carbon balance of global terrestrial ecosystems for the 20th century. Biogeosciences, 11, 1345–1360.CrossRefGoogle Scholar
Myers, R. L. (2006). TNC Living with Fire: Sustaining Ecosystems & Livelihoods Through Integrated Fire Management. Tallahassee, FL: The Nature Conservancy.Google Scholar
Page, S. E. and Hooijer, A. (2016). In the line of fire: the peatlands of Southeast Asia. Philosophical Transactions of the Royal Society B, 371, doi: 10.1098/rstb.2015.0176.CrossRefGoogle Scholar
Pereira, J., Pereira, B. S., Barbosa, P., et al. (1999). Satellite monitoring of fire in the EXPRESSO study area during the 1996 dry season experiment: Active fires, burnt area, and atmospheric emissions. Journal of Geophysical Research: Atmospheres, 104, 30701.CrossRefGoogle Scholar
Roy, D. P., Jin, Y., Lewis, P. E., and Justice, C. O. (2005). Prototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data. Remote Sensing of Environment, 97, 137–162.CrossRefGoogle Scholar
Roy, D. P., Boschetti, L., Justice, C.O., and Ju, J. (2008). The Collection 5 MODIS Burned Area Product – global evaluation by comparison with the MODIS Active Fire Product. Remote Sensing of Environment, 112, 3690–3707.CrossRefGoogle Scholar
Roy, D. P., Boschetti, L., and Smith, A. (2013). Satellite remote sensing of fires. In Belcher, C. M., ed., Fire Phenomena and the Earth System: An Interdisciplinary Guide to Fire Science. Hoboken, NJ: Wiley-Blackwell, pp. 77–93.CrossRefGoogle Scholar
Scholes, R. J. and Archer, S. R. (1997). Tree-grass interactions in savannas. Annual Review of Ecology and Systematics, 28, 517–544.CrossRefGoogle Scholar
Schroeder, W., Oliva, P., Giglio, L., and Csiszar, I. A. (2014). The new VIIRS 375 m active fire detection data product: algorithm description and initial assessment. Remote Sensing of Environment, 143, 85–96.CrossRefGoogle Scholar
Schultz, M. G. (2002). On the use of ATSR fire count data to estimate the seasonal and interannual variability of vegetation fire emissions. Atmospheric Chemistry and Physics, 2, 387–395.CrossRefGoogle Scholar
Shlisky, A., Waugh, J., Gonzalez, P. et al. (2007). Fire, ecosystems and people: threats and strategies for global biodiversity conservation. Global Fire Initiative Technical Report 2007–2. Arlington, VA: The Nature Conservancy.Google Scholar
Sudhakar Reddy, C., Padma Alekhya, V. V. L., Saranya, K. R. L., et al. (2017). Monitoring of fire incidences in vegetation types and protected areas of India: implications on carbon emissions. Journal of Earth System Science, 126, 11.CrossRefGoogle Scholar
Tansey, K., Grégoire, J-M., Stroppiana, D., et al. (2004). Vegetation burning in the year 2000: global burned area estimates from SPOT Vegetation data. Journal of Geophysical Research, 109.CrossRefGoogle Scholar
Tansey, K., Grégoire, J.-M., Defourny, P., et al. (2008). A new, global, multi-annual (2000–2007) burnt area product at 1 km resolution. Geophysical Research Letters, 35, L01401.CrossRefGoogle Scholar
Turner, M. G., Romme, W. H., and Tinker, D. B. (2003). Surprises and lessons from the 1988 Yellowstone fires. Frontiers in Ecology and the Environment. 1, 351–358.CrossRefGoogle Scholar
UNDP (United Nations Development Programme) (2004). Enhancing the effectiveness and catalyzing the sustainability of the W-Arly-Pendjari (WAP) protected area system. UNDP Project Document PIMS 1617.Google Scholar
UNEP (United Nations Environment Programme) and IUCN (2010). The World Database on Protected Areas (WDPA): Annual Release 2010. Cambridge: United Nations Environment Programme World Conservation Monitoring Centre.Google Scholar
Verhegghen, A., Eva, H. Ceccherini, G., et al. (2016), The potential of Sentinel satellites for burnt area mapping and monitoring in the Congo Basin forests. Remote Sensing, 8, 986.CrossRefGoogle Scholar
Xie, P. and Arkin, P. A. (1997). A 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bulletin of the American Meteorological Society, 78, 2539–2558.2.0.CO;2>CrossRefGoogle Scholar
Zhang, Y. H., Wooster, M. J., Tutubalina, O., and Perry, G. L. W. (2003). Monthly burned area and forest fire carbon emission estimates for the Russian Federation from SPOT VGT. Remote Sensing of Environment, 87, 1–15.CrossRefGoogle Scholar