|
Author |
Ter Steege, H.; Henkel, T.W.; Helal, N.; Marimon, B.S.; Marimon-Junior, B.H.; Huth, A.; Groeneveld, J.; Sabatier, D.; Coelho, L.S.; Filho, D.A.L.; Salomão, R.P.; Amaral, I.L.; Matos, F.D.A.; Castilho, C.V.; Phillips, O.L.; Guevara, J.E.; Carim, M.J.V.; Cárdenas López, D.; Magnusson, W.E.; Wittmann, F.; Irume, M.V.; Martins, M.P.; Guimarães, J.R.D.S.; Molino, J.-F.; Bánki, O.S.; Piedade, M.T.F.; Pitman, N.C.A.; Mendoza, A.M.; Ramos, J.F.; Luize, B.G.; Moraes de Leão Novo, E.M.; Núñez Vargas, P.; Silva, T.S.F.; Venticinque, E.M.; Manzatto, A.G.; Reis, N.F.C.; Terborgh, J.; Casula, K.R.; Honorio Coronado, E.N.; Montero, J.C.; Feldpausch, T.R.; Duque, A.; Costa, F.R.C.; Arboleda, N.C.; Schöngart, J.; Killeen, T.J.; Vasquez, R.; Mostacedo, B.; Demarchi, L.O.; Assis, R.L.; Baraloto, C.; Engel, J.; Petronelli, P.; Castellanos, H.; de Medeiros, M.B.; Quaresma, A.; Simon, M.F.; Andrade, A.; Camargo, J.L.; Laurance, S.G.W.; Laurance, W.F.; Rincón, L.M.; Schietti, J.; Sousa, T.R.; de Sousa Farias, E.; Lopes, M.A.; Magalhães, J.L.L.; Mendonça Nascimento, H.E.; Lima de Queiroz, H.; Aymard C, G.A.; Brienen, R.; Revilla, J.D.C.; Vieira, I.C.G.; Cintra, B.B.L.; Stevenson, P.R.; Feitosa, Y.O.; Duivenvoorden, J.F.; Mogollón, H.F.; Araujo-Murakami, A.; Ferreira, L.V.; Lozada, J.R.; Comiskey, J.A.; de Toledo, J.J.; Damasco, G.; Dávila, N.; Draper, F.; García-Villacorta, R.; Lopes, A.; Vicentini, A.; Alonso, A.; Dallmeier, F.; Gomes, V.H.F.; Lloyd, J.; Neill, D.; de Aguiar, D.P.P.; Arroyo, L.; Carvalho, F.A.; de Souza, F.C.; do Amaral, D.D.; Feeley, K.J.; Gribel, R.; Pansonato, M.P.; Barlow, J.; Berenguer, E.; Ferreira, J.; Fine, P.V.A.; Guedes, M.C.; Jimenez, E.M.; Licona, J.C.; Peñuela Mora, M.C.; Villa, B.; Cerón, C.; Maas, P.; Silveira, M.; Stropp, J.; Thomas, R.; Baker, T.R.; Daly, D.; Dexter, K.G.; Huamantupa-Chuquimaco, I.; Milliken, W.; Pennington, T.; Ríos Paredes, M.; Fuentes, A.; Klitgaard, B.; Pena, J.L.M.; Peres, C.A.; Silman, M.R.; Tello, J.S.; Chave, J.; Cornejo Valverde, F.; Di Fiore, A.; Hilário, R.R.; Phillips, J.F.; Rivas-Torres, G.; van Andel, T.R.; von Hildebrand, P.; Noronha, J.C.; Barbosa, E.M.; Barbosa, F.R.; de Matos Bonates, L.C.; Carpanedo, R.S.; Dávila Doza, H.P.; Fonty, É.; GómeZárate Z, R.; Gonzales, T.; Gallardo Gonzales, G.P.; Hoffman, B.; Junqueira, A.B.; Malhi, Y.; Miranda, I.P.A.; Pinto, L.F.M.; Prieto, A.; Rodrigues, D.J.; Rudas, A.; Ruschel, A.R.; Silva, N.; Vela, C.I.A.; Vos, V.A.; Zent, E.L.; Zent, S.; Weiss Albuquerque, B.; Cano, A.; Carrero Márquez, Y.A.; Correa, D.F.; Costa, J.B.P.; Flores, B.M.; Galbraith, D.; Holmgren, M.; Kalamandeen, M.; Nascimento, M.T.; Oliveira, A.A.; Ramirez-Angulo, H.; Rocha, M.; Scudeller, V.V.; Sierra, R.; Tirado, M.; Umaña Medina, M.N.; van der Heijden, G.; Vilanova Torre, E.; Vriesendorp, C.; Wang, O.; Young, K.R.; Ahuite Reategui, M.A.; Baider, C.; Balslev, H.; Cárdenas, S.; Casas, L.F.; Farfan-Rios, W.; Ferreira, C.; Linares-Palomino, R.; Mendoza, C.; Mesones, I.; Torres-Lezama, A.; Giraldo, L.E.U.; Villarroel, D.; Zagt, R.; Alexiades, M.N.; de Oliveira, E.A.; Garcia-Cabrera, K.; Hernandez, L.; Palacios Cuenca, W.; Pansini, S.; Pauletto, D.; Ramirez Arevalo, F.; Sampaio, A.F.; Sandoval, E.H.V.; Valenzuela Gamarra, L.; Levesley, A.; Pickavance, G.; Melgaço, K. |
![goto web page url](img/www.gif)
![find record details (via OpenURL) openurl](img/xref.gif)
|
|
Notes |
Export Date: 25 February 2019; Correspondence Address: Taureau, F.; Université de Nantes, UMR CNRS 6554 Littoral Environnement Télédétection Géomatique, Campus TertreFrance; email: florent.taureau@univ-nantes.fr; Funding details: Université de Nantes; Funding text 1: Funding: A part of this study was funded by the French Coastal Conservancy Institute. It was conducted as part of the PhD work of Florent Taureau supported by the University of Nantes.; References: Duke, N.C., Mangrove Coast (2014) Encyclopedia of Marine Geosciences, pp. 1-17. , Harff, J., Meschede, M., Petersen, S., Thiede, J., Eds.; Springer: Berlin, Germany; Feller, I.C., Lovelock, C.E., Berger, U., McKee, K.L., Joye, S.B., Ball, M.C., Biocomplexity in Mangrove Ecosystems (2010) Annu. Rev. Mar. Sci, 2, pp. 395-417; Krauss, K.W., Lovelock, C.E., McKee, K.L., López-Hoffman, L., Ewe, S.M., Sousa, W.P., Environmental drivers in mangrove establishment and early development: A review (2008) Aquat. Bot, 89, pp. 105-127; Chapman, V.J., (1976) Mangrove Vegetation, , Cramer: Vaduz, Liechtenstein; Friess, D.A., Lee, S.Y., Primavera, J.H., Turning the tide on mangrove loss (2016) Mar. Pollut. Bull, 109, pp. 673-675; Alongi, D.M., Mangrove forests: Resilience, protection from tsunamis, and responses to global climate change (2008) Estuar. Coast. Shelf Sci, 76, pp. 1-13; Bouillon, S., Borges, A.V., Castañeda-Moya, E., Diele, K., Dittmar, T., Duke, N.C., Kristensen, E., Rivera-Monroy, V.H., Mangrove production and carbon sinks: A revision of global budget estimates: Global mangrove carbon budgets (2008) Glob. Biogeochem. Cycles, p. 22; Donato, D.C., Kauffman, J.B., Murdiyarso, D., Kurnianto, S., Stidham, M., Kanninen, M., Mangroves among the most carbon-rich forests in the tropics (2011) Nat. Geosci, 4, pp. 293-297; Duke, N.C., Nagelkerken, I., Agardy, T., Wells, S., van Bochove, J.-W., (2014) The Importance of Mangroves to People: A Call to Action, , United Nations Environment ProgrammeWorld Conservation Monitoring Centre: Cambridge, UK; De Lacerda, L.D., (2010) Mangrove Ecosystems: Function and Management, , Springer: Berlin, Germany; Lee, S.Y., Primavera, J.H., Dahdouh-Guebas, F., McKee, K., Bosire, J.O., Cannicci, S., Diele, K., Koedam, N., Cyril Marchand Ecological role and services of tropical mangrove ecosystems: a reassessment: Reassessment of mangrove ecosystem services (2014) Glob. Ecol. Biogeogr, 23, pp. 726-743; Spalding, M., Kainuma, M., Collins, L., (2010) World Atlas of Mangroves, , Routledge: Abingdon, UK; (2007) The World's Mangroves 1980-2005: A Thematic Study Prepared in the Framework of the Global Forest Resources Assessment 2005, , Food and Agriculture Organization of the United Nations: Rome, Italy; Ellison, J.C., Vulnerability assessment of mangroves to climate change and sea-level rise impacts (2015) Wetl. Ecol. Manag, 23, pp. 115-137; Ellison, J., Zouh, I., Vulnerability to Climate Change of Mangroves: Assessment from Cameroon, Central Africa (2012) Biology, 1, pp. 617-638; Gilman, E.L., Ellison, J., Duke, N.C., Field, C., Threats to mangroves from climate change and adaptation options: A review (2008) Aquat. Bot, 89, pp. 237-250; Li, S., Meng, X., Ge, Z., Zhang, L., Evaluation of the threat from sea-level rise to the mangrove ecosystems in Tieshangang Bay, Southern China (2015) Ocean Coast. Manag, 109, pp. 1-8; Alongi, D.M., Present state and future of the world's mangrove forests (2002) Environ. Conserv, 29, pp. 331-349; Panta, M., (2003) Analisys of Forest Canopy Density and Factors Affecting It Using RS and GIS Techniques-A Case Study from Chitwan District of Nepal, , International Institue for Geo-Information Science and Earth Observation: Hengelosestraat, The Netherlands; Birnbaum, P., Canopy surface topography in a French Guiana forest and the folded forest theory (2001) Plant Ecol, 153, pp. 293-300; Lowman, M.D., Schowalter, T., Franklin, J., (2012) Methods in Forest Canopy Research, , University of California Press: Berkeley, CA, USA; Parker, G.G., Structure and microclimate of forest canopies (1995) Forest Canopies: A Review of Research on a Biological Frontier, pp. 73-106. , Lowman, M., Nadkarni, N., Eds.; Academic Press: San Diego, CA, USA; Frazer, G.W., Trofymow, J.A., Lertzman, K.P., (1997) A Method for Estimating Canopy Openness, Effective Leaf Area Index, and Photosynthetically Active Photon Flux Density Using Hemispherical Photography and Computerized Image Analysis Techniques, , Canadian Forest Service, Pacific Forestry Centre: Victoria, BC, Canada; Smith, M.-L., Anderson, J., Fladeland, M., Forest canopy structural properties (2008) Field Measurements for Forest Carbon Monitoring: A Landscape-Scale Approach, pp. 179-196. , Springer: Berlin, Germany; Green, E.P., Clark, C.D., Mumby, P.J., Edwards, A.J., Ellis, A.C., Remote sensing techniques for mangrove mapping (1998) Int. J. Remote Sens, 19, pp. 935-956; Sari, S.P., Rosalina, D., Mapping and Monitoring of Mangrove Density Changes on tin Mining Area (2016) Procedia Environ. Sci, 33, pp. 436-442; Yuvaraj, E., Dharanirajan, K., Saravanan, N., Karpoorasundarapandian, N., (2014) Evaluation of Vegetation Density of the Mangrove Forest in South Andaman Island Using Remote Sensing and GIS Techniques, pp. 19-25. , International Science Congress Association: India; Garcia-Haro, F.J., Gilabert, M.A., Melia, J., Linear spectral mixture modelling to estimate vegetation amount from optical spectral data (1996) Int. J. Remote Sens, 17, pp. 3373-3400; Braun, M., Martin, H., Mapping imperviousness using NDVI and linear spectral unmixing of ASTER data in the Cologne-Bonn region (Germany) (2003) Proceedings of the SPIE 10th International Symposium on Remote Sensing, , Barcelona, Spain, 8-12 September; Drake, N.A., Mackin, S., Settle, J.J., Mapping Vegetation, Soils, and Geology in Semiarid Shrublands Using Spectral Matching and Mixture Modeling of SWIR AVIRIS Imagery (1999) Remote Sens. Environ, 68, pp. 12-25; Guerschman, J.P., Scarth, P.F., McVicar, T.R., Renzullo, L.J., Malthus, T.J., Stewart, J.B., Rickards, J.E., Trevithick, R., Assessing the effects of site heterogeneity and soil properties when unmixing photosynthetic vegetation, non-photosynthetic vegetation and bare soil fractions from Landsat and MODIS data (2015) Remote Sens. Environ, 161, pp. 12-26; Stagakis, S., Vanikiotis, T., Sykioti, O., Estimating forest species abundance through linear unmixing of CHRIS/PROBA imagery (2016) ISPRS J. Photogramm. Remote Sens, 119, pp. 79-89; Liu, T., Yang, X., Mapping vegetation in an urban area with stratified classification and multiple endmember spectral mixture analysis (2013) Remote Sens. Environ, 133, pp. 251-264; Silvan-Cardenas, J.L., Wang, L., Fully Constrained Linear Spectral Unmixing: Analytic Solution Using Fuzzy Sets (2010) IEEE Trans. Geosci. Remote Sens, 48, pp. 3992-4002; Souza, C., Mapping forest degradation in the Eastern Amazon from SPOT 4 through spectral mixture models (2003) Remote Sens. Environ, 87, pp. 494-506; Ji, M., Feng, J., Subpixel measurement of mangrove canopy closure via spectral mixture analysis (2011) Front. Earth Sci, 5, pp. 130-137; Tiner, R.W., Lang, M.W., Klemas, V.V., (2015) Remote Sensing of Wetlands: Applications and Advances, , CRC Press: Boca Raton, FL, USA; Haase, D., Jänicke, C., Wellmann, T., Front and back yard green analysis with subpixel vegetation fractions from earth observation data in a city (2019) Landsc. Urban Plan, 182, pp. 44-54; Dronova, I., Object-Based Image Analysis inWetland Research: A Review (2015) Remote Sens, 7, pp. 6380-6413; Fei, S.X., Shan, C.H., Hua, G.Z., Remote Sensing of Mangrove Wetlands Identification (2011) Procedia Environ. Sci, 10, pp. 2287-2293; Heumann, B.W., Satellite remote sensing of mangrove forests: Recent advances and future opportunities (2011) Prog. Phys. Geogr, 35, pp. 87-108; Proisy, C., Couteron, P., Fromard, F., Predicting and mapping mangrove biomass from canopy grain analysis using Fourier-based textural ordination of IKONOS images (2007) Remote Sens. Environ, 109, pp. 379-392; Imbert, D., Labbé, P., Rousteau, A., Hurricane damage and forest structure in Guadeloupe, French West Indies (1996) J. Trop. Ecol, 12, pp. 663-680; Herteman, M., Fromard, F., Lambs, L., Effects of pretreated domestic wastewater supplies on leaf pigment content, photosynthesis rate and growth of mangrove trees: A field study from Mayotte Island, SW Indian Ocean (2011) Ecol. Eng, 37, pp. 1283-1291; Cremades, C., (2010) Cartographie des Habitats Naturels des Mangroves de Mayotte, , Direction de l'Agriculture et de la Forêt Service Environnement et Forêt: Mamoudzou, Mayotte; Jeanson, M., (2009) Morphodynamique du Littoral de Mayotte: des Processus au Réseau de Surveillance, , Université du Littoral Côte d'Opale: Dunkerque, France; Marchand, C., Dumas, P., (2007) Typologies et Biodiversité des Mangroves de Nouvelle-Calédonie, , IRD: Nouméa, Nouvelle-Calédonie; Glatthorn, J., Beckschäfer, P., Standardizing the Protocol for Hemispherical Photographs: Accuracy Assessment of Binarization Algorithms (2014) PLoS ONE, 9; Betbeder, J., Nabucet, J., Pottier, E., Baudry, J., Corgne, S., Hubert-Moy, L., Detection and Characterization of Hedgerows Using TerraSAR-X Imagery (2014) Remote Sens, 6, pp. 3752-3769; Betbeder, J., Hubert-Moy, L., Burel, F., Corgne, S., Baudry, J., Assessing ecological habitat structure from local to landscape scales using synthetic aperture radar (2015) Ecol. Indic, 52, pp. 545-557; Betbeder, J., Rapinel, S., Corgne, S., Pottier, E., Hubert-Moy, L., TerraSAR-X dual-pol time-series for mapping of wetland vegetation (2015) ISPRS J. Photogramm. Remote Sens, 107, pp. 90-98; (2013), Reference Book, eCognition Developer 8.9'; Trimble: Sunnyvale, CA, USA; Lobell, D.B., Asner, G.P., Law, B.E., Treuhaft, R.N., View angle effects on canopy reflectance and spectral mixture analysis of coniferous forests using AVIRIS (2002) Int. J. Remote Sens, 23, pp. 2247-2262; Viennois, G., Proisy, C., Feret, J.B., Prosperi, J., Sidik, F., Suhardjono; Rahmania, R., Longépé, N., Gaspar, P., Multitemporal Analysis of High-Spatial-Resolution Optical Satellite Imagery for Mangrove Species Mapping in Bali, Indonesia (2016) IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens, 9, pp. 3680-3686; Adler-Golden, S.M., Matthew, M.W., Bernstein, L.S., Levine, R.Y., Berk, A., Richtsmeier, S.C., Acharya, P.K., Hoke, M.L., Atmospheric Correction for Short-wave Spectral Imagery Based on MODTRAN4 (1999) Soc. Photo-Opt. Instrum. Eng, 3753, pp. 61-70; Adeline, K.R.M., Chen, M., Briottet, X., Pang, S.K., Paparoditis, N., Shadow detection in very high spatial resolution aerial images: A comparative study (2013) ISPRS J. Photogramm. Remote Sens, 80, pp. 21-38; Heinz, D.C., Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery (2001) IEEE Trans. Geosci. Remote Sens, 39, pp. 529-545; Caliński, T., Harabasz, J., A dendrite method for cluster analysis (1974) Commun. Stat, 3, pp. 1-27; Asner, G.P., Warner, A.S., Canopy shadow in IKONOS satellite observations of tropical forests and savannas (2003) Remote Sens. Environ, 87, pp. 521-533; Dennison, P.E., Halligan, K.Q., Roberts, D.A., A comparison of error metrics and constraints for multiple endmember spectral mixture analysis and spectral angle mapper (2004) Remote Sens. Environ, 93, pp. 359-367; Kuusk, A., The Hot Spot Effect in Plant Canopy Reflectance (1991) Photon-Vegetation Interactions: Applications in Optical Remote Sensing and Plant Ecology, pp. 139-159. , Myneni, R.B., Ross, J., Eds.; Springer: Berlin/Heidelberg, Germany; Barbier, N., Proisy, C., Véga, C., Sabatier, D., Couteron, P., Bidirectional texture function of high resolution optical images of tropical forest: An approach using LiDAR hillshade simulations (2011) Remote Sens. Environ, 115, pp. 167-179; Fromard, F., Vega, C., Proisy, C., Half a century of dynamic coastal change affecting mangrove shorelines of French Guiana (2004) A case study based on remote sensing data analyses and field surveys. Mar. Geol, 208, pp. 265-280; Ozdemir, I., Linear transformation to minimize the effects of variability in understory to estimate percent tree canopy cover using RapidEye data (2014) GIS Remote Sens, 51, pp. 288-300; Proisy, C., Féret, J.B., Lauret, N., Gastellu-Etchegorry, J.P., Mangrove Forest Dynamics Using Very High Spatial Resolution Optical Remote Sensing A2-Baghdadi, Nicolas (2016) Land Surface Remote Sensing in Urban and Coastal Areas, pp. 269-295. , Zribi, M., Ed.; Elsevier: Amsterdam, The Netherlands |
Approved |
no |
|