Abstract
At local to global scales, wetlands can be observed, characterized, mapped, and monitored using a diverse range of ground, airborne, and spaceborne sensors operating in different modes and across different spatial and temporal scales. Sensors that are generally more familiar to those involved with wetlands assessment operate in the spectral (reflected visible to shortwave infrared) regions of the electromagnetic spectrum, with these allowing identification of open water, determination of water state and quality, discrimination of different aquatic environments and vegetation types, and tracking of vegetation phenology and water dynamics. Sensors operating in the thermal regions provide information on the temperature variations of wetlands and particularly the water surface. Microwave sensors (on the order of cm wavelength) typically facilitate the mapping of open water and inundation and also provide information on the three-dimensional structure of wetland vegetation.
Similar content being viewed by others
References
Alsdorf DE, Rodriguez E, Lettenmaier DP. Measuring surface water from space. Rev Geophys. 2007;45(2):RG2002.
Bartsch A, Wagner W, Scipal K, Pathe C, Sabel D, Wolski P. Global monitoring of wetlands – the value of ENVISAT ASAR global mode. J Environ Manage. 2009;90:2226–33.
Cook BD, Bolstad PV, Naesset E, Anderson RS, Garrigues S, Morisette JT, Nikeson J, Davis KJ. Using lidar and quickbird data to model plant production and quantify uncertainties associated with wetland detection and land cover generalisations. Remote Sens Environ. 2009;113:2366–79.
Costa MPF, Telmer KH. Utilizing SAR imagery and aquatic vegetation to map fresh and brackish lakes in the Brazilian Pantanal wetland. Remote Sens Environ. 2006;105:204–13.
Dekker AG, Brando VE, Anstee JM. Retrospective seagrass change detection in a shallow coastal tidal Australian lake. Remote Sens Environ. 2005;97:415–33.
Di Gregorio A, Jansen LJM. Land cover classification system (LCCS): classification concepts and user manual for software version 1.0. Rome: Food and Agricultural Organisation (FAO); 2000.
Dillabaugh KA, King DJ. Riparian marshland composition and biomass mapping using IKONOS imagery. Can J Remote Sens. 2008;34(2):143–58.
Dozier J. Spectral signature of alpine snow cover from the landsat thematic mapper. Remote Sens Environ. 1989;28:9–22.
Giri G, Ochieng E, Tieszen LL, Zhu Z, Singh A, Loveland T, Masek J, Duke N. Status and distribution of Mangrove forests of the world using earth observation satellite data. Glob Ecol Biogeogr. 2011;20(1):154–9.
Hess LL, Melack JM, Filoso S, Yong W. Delineation of inundated area and vegetation along the Amazon floodplain with the SIR-C synthetic aperture radar. IEEE Trans Geosci Remote Sens. 1995;33:896–904.
Hess LL, Melack JM, Novo EMLM, Barbosa C, Gastil M. Dual–season mapping of wetland inundation and vegetation for the central Amazon basin. Remote Sens Environ. 2003;87:404–28.
Hoekman DH. Satellite radar observation of tropical peat swamp forest as a tool for hydrological modeling and environmental protection. Aquat Conserv Mar Freshw Ecosyst. 2007;17:265–75.
Jauhiainen J, Takahashi H, Heikkinen J, Martikainen P, Vasander H. Carbon fluxes from a tropical peat swamp forest floor. Glob Chang Biol. 2005;11:1788–97.
Jensen AM, Hardy T, McKee M, Yang QC. Using a multispectral autonomous unmanned aerial remote sensing platform (AggieAir) for riparian and wetlands application. Geoscience and Remote Sensing Symposium (IGARSS); 2011. p. 2413–3416.
Jones K, Lanthier Y, van der Voet P, van Valkengoed E, Taylor D, Fernandez-Prieto D. Monitoring and assessment of wetlands using earth observation: the GlobWetland project. J Environ Manage. 2009;90:2154–69.
Laba M, Downs R, Smith S, Welsh S, Neider C, White S, Richmond M, Philpot W, Baveye P. Mapping invasive wetland plans in the Hudson River National Estuary Research Reserve using Quickbird satellite imagery. Remote Sens Environ. 2008;112:286–300.
Liu K, Li X, Shi X, Wang S. Monitoring mangrove forest changes using remote sensing and GIS data with decision tree learning. Wetlands. 2008;28:336–46.
Lucas RM, Mitchell A, Donnelly B, Milne AK, Ellison J, Finlaysson M. Use of stereo aerial photography for assessing changes in the extent and height of mangrove canopies in tropical Australia. Wetl Ecol Manag. 2002;10:161–75.
Lucas RM, Blonda P, Bunting P, Jones G, Inglada J, Aria M, Kosmidou V, Petrou ZI, Manakos I, Adamo M, Charnock R, Tarantino C, Mücher CA, Jongman R, Kramer H, Arvor D, Honrado JP, Mairota P. The earth observation data for habitat monitoring (EODHAM) system. Int J Appl Earth Obs Geoinf. 2014a:17–28.
Lucas RM, Rebelo L, Fatoyinbo L, Rosenqvist A, Itoh T, Shimada M, Simard M, Souza-Filho PW, Thomas N, Trettin C, Accad A, Carreiras J, Hilarides L. Contribution of L-band SAR to systematic global mangrove monitoring. Freshw Mar Sci. 2014b;65:589–603.
Magumba D, Maruyama A, Kato A, Takagaki M, Kikuchi M. Spatio-temporal changes in wetlands and identification of Cyperus papyrus on the northern shore of Lake Victoria. Trop Agric Dev. 2014;58:1–7.
Markham BL, Helder DL. Forty-year calibrated record of earth-reflected radiance from Landsat: a review. Remote Sens Environ. 2012;122:30–40.
Mayaux P, De Grandi GF, Rauste Y, Simard M, Saatchi S. Large scale vegetation maps derived from the combined L-band GRFM and C-band CAMP wide area radar mosaics of Central Africa. Int J Remote Sens. 2002;23:1261–82.
Melack JM, Hess LL. Remote sensing of the distribution and extent of wetlands in the Amazon Basin. Ecol Stud (Amazonian Floodplain Forests). 2010;210:43–59.
Milne AK, Tapley IJ. Mapping and assessment of wetland ecosystems in north-western Tonle Sap Great Lake with AIRSAR data: results of a pilot study funded jointly by the Mekong River Commision and the University of New South Wales; 2004. p. 129.
Montefalcone M, Rovere A, Parravicini V, Albertelli G, Morri C, Bianchi CN. Evaluating change in seagrass meadows: a time-framed comparison of side scan sonar maps. Aquat Bot. 2013;104:204–12.
Moser L, Voigt S, Schoepfer E, Palmer S. Multi-temporal wetland monitoring in Sub-Saharan West Africa using medium resolution optical satellite data. IEEE J Sel Top Appl Earth Obs Remote Sens. 2014;99.
Murray NJ, Phinn SR, Clemens SR, Roelfsema CM, Fuller RA. Continental scale mapping of tidal flats across east Asia using the Landsat archive. Remote Sens. 2012;4(11):3417–26.
Ozesmi SL, Bauer ME. Satellite remote sensing of wetlands. Wetl Ecol Manag. 2002;10:381–402.
Paganini M, Weise K, Fitoka E, Hansen H, Fernandez–Prieto D, Arino O. The DUE Globwetland-2 project. Proceedings of the 2010 Living Planet Symposium, Bergen, Norway; 2010.
Phinn S, Roelfsema C, Dekker A, Brando V, Anstee J. Mapping seagrass species, cover and biomass in shallow waters: an assessment of satellite multi-spectral and airborne hyper-spectral imaging systems in Moreton Bay (Australia). Remote Sens Environ. 2008;112:3413–25.
Potter C, Melack J, Engle D. Modeling methane emissions from Amazon floodplain ecosystems. Wetlands. 2014;34:501–11.
Richey JE, Wilhelm SR, McClain ME, Victoria RL, Melack JM, Araujo-Limo C. Organic matter and nutrient dynamics in river corridors of the Amazon Basin and their response to anthropogenic change. Geophys Res. 1997;97:3787–804.
Rosenqvist A. Temporal and spatial characteristics of irrigated rice in JERS-1 L-band SAR data. Int J Remote Sens. 1999;20:1567–87.
Rosenqvist A, Shimada M, Milne AK. The ALOS kyoto and carbon initiative. Geosci Remote Sens Symp. 2007;3614–7.
Salari A, Zakaria M, Nielson CC, Boyce MS. Quantifying tropical wetlands using field surveys, spatial statistics and remote sensing. Wetlands. 2014;34:565–74.
Shaikh M, Green D, Cross H. A remote sensing approach to determine environmental flows for wetlands of the Lower Darling River, New South Wales, Australia. Int J Remote Sens. 2010;22:1737–51.
Silva TSF, Costa MPF, Melack JM, Novo EMLM. Remote sensing of aquatic vegetation: theory and applications. Environ Monit Assess. 2008;140:131–45.
Simard M, Rivera-Monroy VH, Mancera-Pineda JE, Castaneda-Moya E, Twilley RR. A systematic method for 3d mapping of mangrove forests based on shuttle radar topography mission elevation data, ICESat/GLAS waveforms and field data: application to Cienaga Grande De Santa Marta, Colombia. Remote Sens Environ. 2008;112:2131–44.
Spalding M, Kainuma M, Collins L. World atlas of mangroves. 2nd ed. London: Earthscan; 2010. p. 336.
Stumpf RP, Goldschmidt PM. Remote sensing of suspended sediment discharge into the Western Gulf of Maine during the April 1987 100-year flood. J Coast Res. 1992;8:218–25.
Takeuchi W, Tamura M, Yasuoka Y. Estimation of methane emission from West Siberian wetland by scaling technique between NOAA AVHRR and SPOT HRV. Remote Sens Environ. 2003;85(1):21–9.
Tehrany MS, Pradhan B, Jebuv MN. A comparative assessment between object- and pixel-based classification approaches for land use/land cover mapping using SPOT-5 imagery. Geocarto Int. 2014;29:351–69.
Thomas N, Lucas RM, Itoh T, Simard M, Fatoyinbo L, Bunting P, Rosenqvist A. An approach to monitoring mangrove extents through time-series comparison of JERS-1 SAR and ALOS PALSAR data. Wetl Ecol Manag. 2015;23(1):3–17.
Whitcomb J, Moghaddam M, McDonald K, Kellndorfer J, Podest E. Mapping vegetated wetlands of Alaska using L-band radar satellite imagery. Can J Remote Sens. 2014;35:54–72.
Williams DL, Goward S, Arvidson T. Landsat: yesterday, today and tomorrow. Photogramm Eng Remote Sens. 2006;72(10):1171–8.
Xiao X, Boles S, Liu J, Shuang D, Frolking S, Li C, Salas W, Moore B. Mapping paddy rice agriculture in southern China using multi-temporal MODIS images. Remote Sens Environ. 2005;95:480–92.
Yan Y, Ouyang Z, Guo H, Jin S, Zhao B. Detecting the spatiotemporal changes of tidal flood in the estuarine wetland by using MODIS time series data. J Hydrol. 2010;384(102):156–63.
Zhang B, Li J, Shen Q, Chen D. A bio-optical model based method of estimating total suspended matter of Lake Taihu (China) from near infrared remote sensing reflectance. Environ Monit Assess. 2008;145:339–47.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer Science+Business Media Dordrecht
About this entry
Cite this entry
Lucas, R. (2016). Earth Observation Methods for Wetlands: Overview. In: Finlayson, C., et al. The Wetland Book. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6172-8_314-1
Download citation
DOI: https://doi.org/10.1007/978-94-007-6172-8_314-1
Received:
Accepted:
Published:
Publisher Name: Springer, Dordrecht
Online ISBN: 978-94-007-6172-8
eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences