EN中文

PROGRESS IN GEOGRAPHY >

2011 , Vol. 30 >Issue 9: 1107 - 1117

DOI: https://doi.org/10.11820/dlkxjz.2011.09.005

Original Articles

Progress in Monitoring Wetland Ecosystems by Radar Remote Sensing

Expand
  • 1. Liaoning Key Laboratory of Physical Geography and Geomatics, Liaoning Normal University, Dalian 116029, Liaoning, China;
    2. Center for Marine Economic and Sustainable Development, Liaoning Normal University, Dalian 116029, Liaoning, China;
    3. College of Urban and Environmental Science, Liaoning Normal University, Dalian 116029, Liaoning, China

Received date: 2011-01-01

  Revised date: 2011-04-01

  Online published: 2011-09-25

Fold

Abstract

Wetlands is important ecosystems with high productivity and abundant biology diversity. Wetlands have high resource values, economic values, environmental values and a variety of ecological functions. Wetlands research has become a highlighted domain that associates with geography, environment and ecology. The earliest article about wetlands monitoring by radar remote sensing appeared around 1970. Afterwards, many satellites radar sensors were launched, such as SEASAT, ERS, JERS-1, Radarsat, Envisat, ALOS and TerraSAR-X; many space shuttle radar sensors were used, such as SIR-A, SIR-B, SIR-C/X-SAR and SRTM; many airplane sensors were applied, such as AIRSAR, EMISAR and E-SAR. Researchers have published a lot of papers about wetlands and radar data.
Monitoring wetlands by radar remote sensing have undergone for 20-30 years and yielded many achievements. But a great number of problems for complicated wetlands still need to be further researched. In this paper, main radar parameters including wave length, polarization, and incident angle were discussed, and involved issues such as temporal and environmental effects and analysis technologies were reviewed. Research conclusions published in geographical literatures and development trends were also analyzed.
The latest literature shows that multi-dimension radar dataset has been used for wetlands location determination, area estimation, and environmental condition analysis. Wetlands mapping based on radar data is not limited in research. This trend can speed up the use of radar data, and expand the application diversity. It has been a programmed process for flooding region mapping from radar data. Radar data in environment monitoring have become accepted tools in the studies such as epidemic region mapping, rangeland management and pollution prevention.
Radar remote sensing plays an important role in protecting fragile wetlands environment. Under any weather conditions, radar system can provide high resolution observation data, so it has become a special earth resource monitoring technology. In addition, radar remote sensing can provide land cover type information and underground physical characteristics that cannot be detected by other spectral bands. With the development of multi-bands, multi-polarization, and multi-angle radar remote sensing system, its information value will be continuously boosted.

Key words： radar parameters; radar remote sensing; wetland

Cite this article

WANG Liwen, WEI Yaxing . Progress in Monitoring Wetland Ecosystems by Radar Remote Sensing[J]. PROGRESS IN GEOGRAPHY, 2011 , 30(9) : 1107 -1117 . DOI: 10.11820/dlkxjz.2011.09.005

References

[1] Hess L, Melack J, Simonett D. Radar detection of floodingbeneath the forest canopy: A review. InternationalJournal of Remote Sensing, 1990, 11(7): 1313-1325.

[2] Henderson F M, Lewis A J. Radar detection of wetlandecosystems: A review. International Journal of RemoteSensing, 2008, 29(20): 5809-5835.

[3] Kasischke E, Melack J, Dobson M. The use of imaging radarsfor ecological applications: A review. Remote Sensingof Environment, 1997, 59(2): 141-156.

[4] Waite W, Macdonald H. Vegetation penetration withK-band imaging radars. IEEE Transactions on Geoscienceand Remote Sensing, 1971, 9(3): 147-155.

[5] Yatabe S, Leckie D. Clearcut and forest-type discriminationin satellite SAR imagery. Canadian Journal of RemoteSensing, 1995, 21(4): 455-467.

[6] Durden S, Haddad Z, Morrissey L, et al. Classification ofradar imagery over boreal regions for methane exchange studies. International Journal of Remote Sensing, 1996,17(6): 1267-1273.

[7] Wang Y, Davis F. Decomposition of polarimetric syntheticaperture radar backscatter from upland and flooded forests.International Journal of Remote Sensing, 1997, 18(6): 1319-1332.

[8] Ramsey E. Remote Sensing Change Detection: EnvironmentalMonitoring Methods and Applications. Chelsea,MI: Ann Arbor Press, 1998.

[9] Novo E M, Costa M F, Mantovani J, et al. Relationship betweenmacrophyte stand variables and radar backscatterat L and C band, Tucuru?′reservoir, Brazil. InternationalJournal of Remote Sensing, 2002, 23(7): 1241-1260.

[10] Costa M. Use of SAR satellites for mapping zonation ofvegetation communities in the Amazon floodplain. InternationalJournal of Remote Sensing, 2004, 25(10):1817-1835.

[11] Wdowinski S, Kim S W, Amelung F, et al. Space-baseddetection of wetlands' surface water level changes fromL-band SAR interferometry. Remote Sensing of Environment,2008, 112(3): 681-696.

[12] Durden S, Vanzyl J, Zebker H. Modeling and observationof the radar polarization signature of forested areas. IEEETransactions on Geoscience and Remote Sensing, 1989,27(3): 290-301.

[13] Rignot E, Salas W, Skole D. Mapping deforestation andsecondary growth in Rondonia, Brazil, using imaging radarand Thematic Mapper data. Remote Sensing of Environment,1997, 59(2): 167-179.

[14] Pope K, Rejmankova E, Paris J, et al. Detecting seasonalflooding cycles in marshes of the Yucatan peninsula withSIR-C polarimetric radar imagery. Remote Sensing of Environment,1997, 59(2): 157-166.

[15] Ramsey E, Nelson G, Sapkota S, et al. Using multiple-polarizationL-band radar to monitor marsh burn recovery.IEEE Transactions on Geoscience and Remote Sensing,1999, 37(1): 635-639.

[16] Baghdadi N, Bernier M, Gauthier R, et al. Evaluation ofC-band SAR data for wetlands mapping. InternationalJournal of Remote Sensing, 2001, 22(1): 71-88.

[17] Grings F M, Ferrazzoli P, Karszenbaum H, et al. Modelingtemporal evolution of Junco marshes radar signatures.IEEE Transactions on Geoscience and RemoteSensing, 2005, 43(10): 2238-2245.

[18] Henry J, Chastanet P, Fellah K, et al. Envisat multi-polarizedASAR data for flood mapping. International Journalof Remote Sensing, 2006, 27(10): 1921-1929.

[19] 廖静娟, 沈国状. 基于多极化SAR图像的鄱阳湖湿地地表淹没状况动态变化分析. 遥感技术与应用, 2008, 23(4): 373-377.

[20] Kim J W, Lu Z, Lee H, et al. Integrated analysis of PALSAR/Radarsat-1 InSAR and ENVISAT altimeter data formapping of absolute water level changes in Louisianawetlands. Remote Sensing of Environment, 2009, 113(11): 2356-2365.

[21] Novo E M, Costa M F, Mantovani J. Exploratory surveyon macrophyte biophysical parameters in tropical reservoirs.Canadian Journal of Remote Sensing, 1998, 24(4):367-375.

[22] Kandus P, Karszenbaun H, Pultz T, et al. Influence offlood conditions and vegetation status on the radar backscatterof wetland ecosystems. Canadian Journal of RemoteSensing, 2001, 27(6): 651-662.

[23] Toyra J, Pietroniro A. Towards operational monitoring ofa northern wetland using geomatics-based techniques. RemoteSensing of Environment, 2005, 97(2): 174-191.

[24] Megan W L, Philip A T, Eric S K a. Influence of incidenceangle on detecting flooded forests using C-HH syntheticaperture radar data. Remote Sensing of Environment,2008, 112(10): 3898-3907.

[25] Belen M C, Carlos L M, Josep D R, et al. ASAR polarimetric,multi-incidence angle and multitemporal characterizationof Do?ana wetlands for flood extent monitoring.Remote Sensing of Environment, 2010, 114(11):2802-2815.

[26] Ramsey E. Monitoring flooding in coastal wetlands by usingradar imagery and ground-based measurements. InternationalJournal of Remote Sensing, 1995, 16(13):2495-2505.

[27] Wang J, Shang J, Brisco B, et al. Evaluation of multidateERS-1 and multispectral Landsat imagery for wetland detectionin Southern Ontario. Canadian Journal of RemoteSensing, 1998, 24(1): 60-68.

[28] Racine M J, Bernier M Ouarda T. Evaluation of RADARSAT-1 images acquired in fine mode for the study of borealpeatlands: A case study in James Bay, Canada. CanadianJournal of Remote Sensing, 2005, 31(6): 450-467.

[29] Costa M, Telmer K. Utilizing SAR imagery and aquaticvegetation to map fresh and brackish lakes in the BrazilianPantanal wetland. Remote Sensing of Environment,2006, 105(3): 204-213.

[30] Megan W L, Eric S K, Stephen D P, et al. Assessment ofC-band synthetic aperture radar data for mapping andmonitoring Coastal Plain forested wetlands in the Mid-At-lantic Region, U.S.A. Remote Sensing of Environment,2008, 112(11): 4120-4130.

[31] Crevier Y, Pultz T, Lukowski, et al. Temporal analysis ofERS-1SAR backscatter for hydrology applications. CanadianJournal of Remote Sensing, 1996, 22(1):65-77.

[32] Kiage L M, Walker N D, Balasubramanian S, et al. Applicationsof RADARSAT-1 synthetic aperture radar imageryto assess hurricanerelated flooding of coastal Louisiana.International Journal of Remote Sensing, 2005, 26(24): 5359-5380.

[33] Grings F, Salvia M, Karszenbaum H, et al. Exploring thecapacity of radar remote sensing to estimate wetlandmarshes water storage. Journal of Environmental Management,2009, 90(7): 2189-2198.

[34] Eric S K, Laura L B, Allison R R, et al. Effects of soilmoisture and water depth on ERS SAR backscatter measurementsfrom an Alaskan wetland complex. RemoteSensing of Environment, 2009, 113(9): 1868-1873.

[35] 郭华东, 王超, 王湘云, 等. ERS-1 散射计数据用于全球陆地监测. 遥感学报, 1997, 1(4): 277-281.

[36] Morrissey L, Livingston G, Durden S. Use of SAR in regionalmethane exchange studies. International Journal ofRemote Sensing, 1994, 15(6): 1337-1342.

[37] Rosenqvist A, Forsberg B, Pimenetl T, et al. The use ofspaceborne radar data to model inundation patterns andtrace gas emissions in the central Amazon floodplain. InternationalJournal of Remote Sensing, 2002, 23(7):1303-1328.

[38] Walfir P, Souza F M, Renato P W. Use of RADARSAT-1fine mode and Landsat-5 TM selective principal componentanalysis for geomorphological mapping in a macrotidalmangrove coast in the Amazon Region. CanadianJournal of Remote Sensing, 2005, 31(3): 214-224.

[39] 黎夏, 叶嘉安, 王树功, 等. 红树林湿地植被生物量的雷达遥感估算. 遥感学报, 2006, 10(3): 387-396.

[40] Marc S, Victor H R, José E M, et al. A systematic methodfor 3D mapping of mangrove forests based on Shuttle RadarTopography Mission elevation data, ICEsat/GLASwaveforms and field data: Application to Ciénaga Grandede Santa Marta, Colombia. Remote Sensing of Environment,2008, 112(5): 2131-2144.

[41] Pope K, Rey-benayas J, Paris J. Radar remote sensing offorest and wetland ecosystems in the Central Americantropics. Remote Sensing of Environment, 1994, 48(2):205-219.

[42] Alsdorf D, Smith L, Melack J. Amazon floodplain waterlevel changes measured with interferometric SAR-C radar.IEEE Transactions on Geoscience and Remote Sensing,2001, 39(2): 423-431.

[43] Arzandeh S, Wang J. Monitoring the change of phragmitesdistribution using satellite data. Canadian Journalof Remote Sensing, 2003, 29(1): 24-35.

[44] Kaya S, Sokol J. Pultz T. Monitoring environmental indicatorsof vectorborne disease from space: a new opportunityfor RADARSAT-2. Canadian Journal of RemoteSensing, 2004, 30(3): 560-565.

[45] Shimabukuro Y, Almeida-filho R, Kuplich T. Quantifyingoptical and SAR image relationships for tropical landscapefeatures in the Amazonia. International Journal ofRemote Sensing, 2007, 28(17): 3831-3840.

[46] Casta?eda C, Ducrot D. Land cover mapping of wetlandareas in an agricultural landscape using SAR and Landsatimagery. Journal of Environmental Management, 2009,90(7): 2270-2277.

[47] 董磊, 廖静娟, 沈国状. 基于神经网络算法的多极化雷达数据估算鄱阳湖生物量. 遥感技术与应用, 2009, 24(3): 325-330.

[48] Hong S, Wdowinski S, Kim S, et al. Multi-temporal monitoringof wetland water levels in the Florida Evergladesusing interferometric synthetic aperture radar (InSAR).Remote Sensing of Environment, 2010, 114(11):2436-2447.

[49] Henderson F, Chasan R, Portolese J, et al. Evaluation ofSAR-optical imagery synthesis techniques in a complexcoastal ecosystem. Photogrammetric Engineering and RemoteSensing, 2002, 68(8): 839-846.

[50] Simard J, Degrandi G, Saatchi S, et al. Mapping tropicalcoastal vegetation using JERS-1 and ERS-1 radar datawith a decision tree classifier. International Journal of RemoteSensing, 2002, 23(7): 1461-1474.

[51] 刘凯, 黎夏, 王树功, 等. 基于神经网络和数据融合的红树林群落分类研究. 遥感信息, 2006(3): 32-35.

[52] Bwangoy J B, Hansen M C, Roy D P, et al. Wetland mappingin the Congo Basin using optical and radar remotelysensed data and derived topographical indices. RemoteSensing of Environment, 2010, 114(1): 73-86.

[53] 王庆, 廖静娟. 基于Landsat TM和ENVISAT ASAR数据的鄱阳湖湿地植被生物量的反演. 地球信息科学学报,2010, 12(2): 282-291.

[54] 卫亚星, 王莉雯. 应用遥感技术模拟净初级生产力的尺度效应研究进展. 地理科学进展, 2010, 29(4): 471-477.
Options
Outlines

/

〈 〉