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9 - The Evolution of Remote Sensing Applications Vital to Effective Biodiversity Conservation and Sustainable Development

Published online by Cambridge University Press:  23 July 2018

Allison K. Leidner
Affiliation:
National Aeronautics and Space Administration, Washington DC
Graeme M. Buchanan
Affiliation:
Royal Society for the Protection of Birds (RSPB), Edinburgh
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Summary

This chapter, written from the perspective of conservation practitioners at Conservation International (CI), a US-based international conservation non-governmental organisation considers how the conservation community applied advances in satellite remote sensing over the last two decades and how this transformed conservation practices and decision-making. It highlights the conservation successes that these advances afforded, both in terms of improved land use management and more efficient use of financial and personnel resources. It also provides recommendations for focal areas that may lead to even greater conservation successes, and discusses advances on the horizon for satellite remote sensing that may lead to the next set of breakthroughs for advancing conservation science and applications.
Type
Chapter
Information
Satellite Remote Sensing for Conservation Action
Case Studies from Aquatic and Terrestrial Ecosystems
, pp. 274 - 300
Publisher: Cambridge University Press
Print publication year: 2018

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References

Angelsen, A., Brown, S., Loisel, C., et al. (2009). Reducing Emissions from Deforestation and Forest Degradation (REDD): An Options Assessment Report. Meridian Institute. See www.redd-oar.org/links/REDD-OAR_en.pdf.Google Scholar
Anyamba, A. and Tucker, C. J. (2005). Analysis of Sahelian vegetation dynamics using NOAA–AVHRR NDVI data from 1981–2003. Journal of Arid Environments, 63, 596614.CrossRefGoogle Scholar
Boucher, D., Roquemore, S., and Fitzhugh, E. (2013). Brazil’s success in reducing deforestation. Tropical Conservation Science, 6, 426445.CrossRefGoogle Scholar
Buermann, W., Saatchi, S., Smith, T., et al. (2008). Predicting species distributions across the Amazonian and Andean regions using remote sensing data. Journal of Biogeography, 35, 11601176.CrossRefGoogle Scholar
Butler, R. A. (2008). Fire monitoring by satellite becomes key conservation tool: an interview with GIS experts at Conservation International and the University of Maryland. Conservation International. See https://news.mongabay.com/2008/03/fire-monitoring-by-satellite-becomes-key-conservation-tool/.Google Scholar
Chen, Y., Randerson, J. T., Morton, D. C., et al. (2011). Forecasting fire season severity in South America using sea surface temperature anomalies. Science, 334, 787791.CrossRefGoogle ScholarPubMed
Clark, B. L., Bevanda, M., Aspillaga, E., and Jørgensen, N. H. (2016). Bridging disciplines with training in remote sensing for animal movement: an attendee perspective. Remote Sensing in Ecology and Conservation, 3, 3037.CrossRefGoogle Scholar
Claverie, M., Masek, J.G., Junchang, J., and Dungan, J. L. (2017). Harmonized Landsat-8 Sentinel-2 (HLS) product user’s guide. Harmonized Landsat–Sentinel-2 (HLS) project. NASA. See https://hls.gsfc.nasa.gov.Google Scholar
Conservation International (2014). Conservation tools: satellites sound fire alarm in tropical forests. See http://blog.conservation.org/2014/07/conservation-tools-satellites-sound-fire-alarm-in-tropical-forests/.Google Scholar
Csiszar, I., Denis, L., Giglio, L., Justice, C. O., and Hewson, J. (2005). Global fire activity from two years of MODIS data. International Journal of Wildland Fire, 14, 117130.CrossRefGoogle Scholar
Davies, D. K., Ilavajhala, S., Minnie Wong, 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, 7279.CrossRefGoogle Scholar
De Sy, V., Herold, M., Achard, F., et al. (2012). Synergies of multiple remote sensing data sources for REDD+ monitoring. Current Opinion in Environmental Sustainability, 4, 696706.CrossRefGoogle Scholar
De Wulf, R. R., Goossens, R. E., MacKinnon, J. R., and Cai, W. S. (1988). Remote sensing for wildlife management: giant panda habitat mapping from Landsat MSS images. Geocarto International, 3, 4150.CrossRefGoogle Scholar
Gaveau, D., Epting, J., Lyne, O., et al. (2009). Evaluating whether protected areas reduce tropical deforestation in Sumatra. Journal of Biogeography, 36, 21652175.CrossRefGoogle Scholar
Giglio, L, Descloitres, J., Justice, C. O., and Kaufman, Y. (2003). An enhanced contextual fire detection algorithm for MODIS. Remote Sensing of Environment, 87, 273282.CrossRefGoogle Scholar
Giri, C., Ochieng, E., Tiezen, L. L., et al. (2011). Status and distribution of mangrove forests of the world using Earth observation satellite data. Global Ecology and Biogeography, 20, 154159.CrossRefGoogle Scholar
Goetz, S. J., Hansen, M., Houghton, R. A., et al. (2015). Measurement and monitoring needs, capabilities and potential for addressing reduced emissions from deforestation and forest degradation under REDD+. Environmental Research Letters, 10, doi: 10.1088/1748–9326/10/12/123001.CrossRefGoogle Scholar
Hammer, D., Kraft, R., and Wheeler, D. (2014). Alerts of forest disturbance from MODIS imagery. International Journal of Applied Earth Observation and Geoinformation, 33, 19.CrossRefGoogle Scholar
Hansen, M. C., Potapov, P. V., Moore, R., et al. (2013). High-resolution global maps of 21st-century forest cover change. Science, 342, 850853.CrossRefGoogle ScholarPubMed
Harper, G. J., Steininger, M. K., Tucker, C. J., Juhn, D., and Hawkins, F. (2007). Fifty years of deforestation and forest fragmentation in Madagascar. Environmental Conservation, 34, 325333.CrossRefGoogle Scholar
Jin, S. and Sader, S. A. (2005). MODIS time-series imagery for forest disturbance detection and quantification of patch size effects. Remote Sensing of Environment, 99, 462470.CrossRefGoogle Scholar
Kim, D-H., Sexton, J. O., Noojipady, P., et al. (2014). Global, Landsat-based forest-cover change from 1990 to 2000. Remote Sensing of Environment, 155, 178193.CrossRefGoogle Scholar
De Klerk, H. M. and Buchanan, G. (2017). Remote sensing training in African conservation. Remote Sensing in Ecology and Conservation, 3, 720.CrossRefGoogle Scholar
Loveland, T. R., Merchant, J. W., Brown, J. F., et al. (1995). Seasonal land-cover regions of the United States. Annals of the Association of American Geographers, 85, 339355.Google Scholar
Luque, S. S. (2000). Evaluating temporal changes using Multi-Spectral Scanner and Thematic Mapper data on the landscape of a natural reserve: the New Jersey Pine Barrens, a case study. International Journal of Remote Sensing, 21, 25892610.CrossRefGoogle Scholar
Lunetta, R. L., Knight, F. K., Ediriwickrema, J., Lyon, J. G., and Worthy, L. D. (2006). Landcover change detection using multi-temporal MODIS NDVI data. Remote Sensing of Environment, 105, 142–54.CrossRefGoogle Scholar
McCarthy, D. P., Donald, P. F., Scharlemann, J. P., et al. (2012). Financial costs of meeting global biodiversity conservation targets: current spending and unmet needs. Science, 338, 946949.CrossRefGoogle ScholarPubMed
Palumbo, I., Rose, R. A., Headley, R. M. K., et al. (2017). Building capacity in remote sensing for conservation: present and future challenges. Remote Sensing in Ecology and Conservation, 3, 2129.CrossRefGoogle Scholar
Pettorelli, N., Vik, J. O., Mysterud, A., et al. (2005). Using the satellite-derived NDVI to assess ecological responses to environmental change. Trends in Ecology & Evolution, 20, 503510.CrossRefGoogle ScholarPubMed
Portela, R., Nunes, P. A. L. D., Onofri, L., et al. (2012). Assessing and valuing ecosystem services in Ankeniheny–Zahamena Corridor (CAZ), Madagascar: a demonstration case study for the Wealth Accounting and the Valuation of Ecosystem Services (WAVES) Global Partnership. Conservation International. See www.wavespartnership.org/sites/waves/files/images/WAVES_Madagascar_Report.pdf.Google Scholar
Saatchi, S., Buermann, W., Ter Steege, H., Mori, S., and Smith, T. B. (2008). Modeling distribution of Amazonian tree species and diversity using remote sensing measurements. Remote Sensing of Environment, 112, 20002017.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, 8596.CrossRefGoogle Scholar
SERVIR–Mekong. (2015). Gender and GIS: guidance notes. Bangkok: Asian Disaster Preparedness Center. See https://servir.adpc.net/sites/default/files/public/publications/attachments/Gender-GIS-2015.pdf.Google Scholar
Song, X. P., Huang, C., Saatchi, S. S., Hansen, M. C., and Townshend, J. R. (2015). Annual carbon emissions from deforestation in the Amazon Basin between 2000 and 2010. PLOS ONE, 10, e0126754.CrossRefGoogle ScholarPubMed
Steininger, M. K., Tucker, C. J., Townshend, J. R. G., et al. (2001). Tropical deforestation in the Bolivian Amazon. Environmental Conservation, 28, 127134.CrossRefGoogle Scholar
Steininger, M. K., Tabor, K., Small, J., et al. (2013). A satellite model of forest flammability. Environmental Management, 52, 136150.CrossRefGoogle ScholarPubMed
Sukhinin, A. I., French, N. H. F., Kasischke, E. S., et al. (2004). AVHRR-based mapping of fires in Russia: new products for fire management and carbon cycle studies. Remote Sensing of Environment, 93, 546564.CrossRefGoogle Scholar
Tabor, K., Burgess, N., Mbilinyi, B., Kashaigili, J., and Steininger, M. K. (2010). Forest and woodland cover and change in coastal Tanzania and Kenya, circa 1990 to circa 2000. The Journal of East African Natural History, 99, 1945.CrossRefGoogle Scholar
Tucker, C. J. (1979). Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 8, 127150.CrossRefGoogle Scholar
Turner, W., Rondinini, C., Pettorelli, N., et al. (2015). Free and open-access satellite data are key to biodiversity conservation. Biological Conservation, 182, 173176.CrossRefGoogle Scholar
Wulder, M. A., White, J. C., Goward, S. N., et al. (2008). Landsat continuity: issues and opportunities for land cover monitoring. Remote Sensing of Environment, 112, 955969.CrossRefGoogle Scholar
Wulder, M. A., White, J. C., Loveland, T. R., et al. (2016). The global Landsat archive: status, consolidation, and direction. Remote Sensing of Environment, 185, 271–83.CrossRefGoogle Scholar

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