Hurricane disturbance mapping using MODIS EVI data in the southeastern Yucatán, Mexico

References

• Ayala-Silva , T. and Twumasi , Y.A. 2004 . Hurricane Georges and vegetation change in Puerto Rico using AVHRR satellite data . International Journal of Remote Sensing , 25 : 1629 – 1640 .
   Web of Science ®Google Scholar
• Basnet , K. , Likens , G.E. , Scatena , F.N. and Lugo , A.E. 1992 . Hurricane Hugo: damage to a tropical rain forest in Puerto Rico . Journal of Tropical Ecology , 8 : 47 – 55 .
   Web of Science ®Google Scholar
• Boose , E.R. , Foster , D.R. and Fluet , M. 1994 . Hurricane impacts to tropical and temperate forest landscapes . Ecological Monographs , 64 : 369 – 400 .
   Web of Science ®Google Scholar
• Boose , E.R. , Foster , D.R. , Plotkin , A.B. and Hall , B. 2003 . “ Geographical and historical variation in hurricanes across the Yucatán Peninsula ” . In The Lowland Maya Area. Three Millennia at the Human-Wildland Interface , Edited by: ómez-Pompa , M.F.A. G , Fedick , S.L. and Jiménez-Osornio , J.J. 495 – 516 . New York : Food Products Press .
   Google Scholar
• Doyle , T.W. , Smith III , T.J. and Robblee , M.B. 1995 . Wind damage effects of Hurricane Andrew on mangrove communities along the southwest coast of Florida, USA . Journal of Coastal Research , 21 : 159 – 168 .
   Google Scholar
• Everham , E.M. and Brokaw , N.V.L. 1996 . Forest damage and recovery from catastrophic wind . Botanical Review , 62 : 113 – 185 .
   Web of Science ®Google Scholar
• Huete , A. , Didan , K. , Miura , T. , Rodriguez , E.P. , Gao , X. and Ferreira , L.G. 2002 . Overview of the radiometric and biophysical performance of the MODIS vegetation indices . Remote Sensing of Environment , 83 : 195 – 213 .
   Web of Science ®Google Scholar
• Justice , C.O. , Townshend , J.R.G. , Vermote , E.F. , Masuoka , E. , Wolfe , R.E. , Saleous , N. , Roy , D.P. and Morisette , J.T. 2002 . An overview of MODIS Land data processing and product status . Remote Sensing of Environment , 83 : 3 – 15 .
   Web of Science ®Google Scholar
• Lepers , E. , Lambin , E.F. , Janetos , A.C. , Defries , R. , Achard , F. , Ramankutty , N. and Scholes , R.J. 2005 . A synthesis of information on rapid land-cover change for the period 1981–2000 . Bioscience , 55 : 115 – 124 .
   Web of Science ®Google Scholar
• Nielson , E.M. 2009 . “ Rapid mapping of hurricane damage to forests ” . In Proceedings of The Eighth Annual Forest Inventory and Analysis Symposium , Edited by: McRoberts , R.E. , Reams , G.A. , Van Deusen , P.C. and McWilliams , W.H. Monterey, CA : US Department of Agriculture Forest Service .
   Google Scholar
• Pielke , J.R.A. , Rubiera , J. , Landsea , C. , Fernandez , M.L. and Klein , R. 2003 . Hurricane vulnerability in Latin America and the Caribbean: normalized damage and loss potentials . Natural Hazards Review , 4 : 101 – 114 .
   Web of Science ®Google Scholar
• Ramsey , E , Rangoonwala , A. , Middleton , B. and Lu , Z. 2009 . Satellite optical and radar data used to track wetland forest impact and short-term recovery from Hurricane Katrina . Wetlands , 29 : 66 – 79 .
   Web of Science ®Google Scholar
• Ramsey , E.W. , Chappell , D.K. and G , baldwin, D. 1997 . AVHRR imagery used to identify hurricane damage in a forested wetland of Louisiana . Photogrammetric Engineering and Remote Sensing , 63 : 293 – 297 .
   Web of Science ®Google Scholar
• Schaaf , C.B. , Gao , F. , Strahler , A.H. , Lucht , W. , Li , X.W. , Tsang , T. , Strugnell , N.C. , Zhang , X.Y. , Jin , Y.F. , Muller , J.P. , Lewis , P. , Barnsley , M. , Hobson , P. , Disney , M. , Roberts , G. , Dunderdale , M. , Doll , C. , D'Entremont , R.P. , Hu , B.X. , Liang , S.L. , Privette , J.L. and Roy , D. 2002 . First operational BRDF, albedo nadir reflectance products from MODIS . Remote Sensing of Environment , 83 : 135 – 148 .
   Web of Science ®Google Scholar
• US Geological Survey, 2007a, MOD13Q1 C5, MODIS/Terra Vegetation Index Product (Normalized Difference Vegetation Index) 16-Day L3 Global 250 m. http://lpdaac.usgs.gov/modis/ (http://lpdaac.usgs.gov/modis/) (Accessed: 10 February 2008 ).
   Google Scholar
• US Geological Survey, 2007b, MYD13Q1 C5, MODIS/Aqua Vegetation Index Product (Enhanced Vegetation Index) 16-Day L3 Global 250 m. http://lpdaac.usgs.gov/modis/ (http://lpdaac.usgs.gov/modis/) (Accessed: 2 February 2009 ).
   Google Scholar
• Vester , H.F.M. , Lawrence , D. , Eastman , J.R. , Turner , B.L. , Calme , S. , Dickson , R. , Pozo , C. and Sangermano , F. 2007 . Land change in the southern Yucatan and Calakmul Biosphere Reserve: effects on habitat and biodiversity . Ecological Applications , 17 : 989 – 1003 .
   PubMed Web of Science ®Google Scholar
• Wang , F. and D'Sa , E. 2009 . Potential of MODIS EVI in identifying hurricane disturbance to coastal vegetation in the Northern Gulf of Mexico . Remote Sensing , 2 : 1 – 18 .
   Web of Science ®Google Scholar
• Wang , W. , Qu , J.J. , Hao , X. , Liu , Y. and Stanturf , J.A. 2010 . Post-hurricane forest damage assessment using satellite remote sensing . Agricultural and Forest Meteorology , 150 : 122 – 132 .
   Web of Science ®Google Scholar
• Zimmerman , J.K. , Everham , E.M. , Waide , R.B. , Lodge , D.J. , Taylor , C.M. and Brokaw , N.V.L. 1994 . Responses of tree species to hurricane winds in subtropical wet forest in Puerto-Rico – implications for tropical tree life-histories . Journal of Ecology , 82 : 911 – 922 .
   Web of Science ®Google Scholar