XXII ISPRS Congress 2012: Technical Commission VIII

Shortis, M.; Shimoda, H.; Cho, K.

Bibliographic data

Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663822514

Title:: Technical Commission VIII

Scope:: 590 Seiten

Year of publication:: 2014

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663822514

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Shortis, M.; Shimoda, H.; Cho, K.

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VIII/4: Water]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: HYDROPERIOD CLASSIFICATION OF CERVANTES COOLIMBA COASTAL WETLANDS USING LANDSAT TIME SERIES IMAGERY R. J. van Dongen, G. A. Behn, M. Coote, A. Shanahan and H. Setiawan

Document type:: Multivolume work

Structure type:: Chapter

with LULC pplied enario, codes for ds to year 2050 yields generated port. Cambridge Climate Hotspot peace Southeast ., 2006. Creating Capes: cloud and Bingner, R.'L., n Guidelines for ed Simulations. J. R., 2005. Soil on Version 2005. ural Experiment ation - Cagayan inicating Climate 2G Achievement . (WEPA) *Plans lative to Water nt.” www.wepa- )) sitivity Analysis. of Megacities to al Conference on la, PHL. nal Engineering ngton, DC, USA. e (EROS) Center 1 (SRTM)- nd Data Availa «shed Hydrology 09-1000. mments of Dr. ie study and to ology (DOST) iis research. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia HYDROPERIOD CLASSIFICATION OF CERVANTES COOLIMBA COASTAL WETLANDS USING LANDSAT TIME SERIES IMAGERY R. J. van Dongen *, G. A. Behn *, M. Coote *, A. Shanahan* and H. Setiawan * Dept, of Environment and Conservation, Perth, Australia — (ricky.vandongen, graeme.behn, michael.coote, anne.shanahan, hery.setiawan) @dec.wa.gov.au Commission VIII, WG VIIU/4 KEY WORDS: Environment, Hydrology, Monitoring, Landsat, Temporal ABSTRACT: Geomorphic classification of wetlands relies on information regarding landform and hydroperiod. Additional attributes of wetland size, vegetation cover and salinity can be collected for lower order classification. Hydroperiod is important in determining features that characterize the ecological function of the wetland. This study examines how Landsat time series imagery was used to describe the hydroperiod of wetlands along the coastal zone between Cervantes to Coolimba in Western Australia. Inundation extent maps were derived using 17, Landsat Band 5 images captured between 1988 and 2011. The number of times a wetland basin was more than 10 % inundated was then calculated. This inundation frequency dataset was then the basis for hydroperiod classification. Wetlands were classified as being permanently inundated if they had more than 10% inundation in 12 or more of the 17 images available (approximately 70%). A Landsat image captured 2 weeks prior to field work was used to determine Band 5 thresholds to identify areas of inundation and assess classification accuracy. Field measurements of surface water cover, depth, secchi depth, vegetation cover and salinity were taken across 16 plots located close to inundation boundaries. The accuracy of the inundation maps was highly dependent on the degree of vegetation cover. Mapping accuracy was heavily influenced by vegetation cover and achieved an overall accuracy of 87.5%. The resulting hydroperiod datasets provides an accurate record of inundation frequency which can be used to aid classification of wetlands and also allows changes to inundation frequency over time to be assessed. 1. INTRODUCTION Landsat series of satellites has an extensive archive, with data available from 1972, and has been used for mapping and monitoring long term environmental processes (Kuhnell et al., 1998; Caccetta et al., 2007). Indices can be derived from a combination of Landsat spectral bands to provide quantitative information on land cover (Furby et al. 2008). For direct comparison of index values over time, to facilitate land cover monitoring, consistent image processing techniques are required. In the of the south west of WA, consistently processed Landsat data, captured at one and two year intervals, is available from the Land Monitor Project (Furby, 2009). In this study the Landsat time series was used to assess the hydroperiod of wetlands along a coastal zone in Western Australia. The methodology was taken from Jones (2008). In that study the hydroperiod of wetlands in adjacent catchments was assessed as part of a wetland evaluation program. 1.1. Hydroperiod Wetlands are defined by Boulton & Brock (1999) as "any area of temporarily or permanently waterlogged or inundated land, natural or artificial, with water that is standing or running, ranging from fresh to saline, and where inundation by water influences the biota and ecological processes occurring at any time". Hydroperiod (the period of water availability) is an important attribute of wetlands and is used to differentiate between a lake (permanently inundated basin) and a sumpland (seasonally inundated basin) (Semeniuk, 1995). It is also is Important in determining features that characterize the ecological function of the wetland. 1.2. Classification Band Selection In remote sensing studies of wetlands the most common indices used to map and monitor inundation are the tassel cap wetness and Normalised Difference Water Index (NDWI) (Lacaux et al., 2007; Weiss and Crabtree, 2011), a Band 4 (near infrared) and 5 (mid infrared) ratio. Near infrared and mid infrared bands are well suited to locating and delineating water bodies due to strong absorption of water in this region of the spectrum (Lillesand, 1994). Water absorbs less in the visible parts of the spectrum and can be used to map bethic material and estimate turbidity or chlorophyll concentration (Jensen, 2007). Landsat Band 5 was used in this study due to its documented strong absorption by water and for consistency with Jones (2008). The physical attributes to which moisture indices respond is often poorly defined. The quantitative influences to indices that map “wetness”, which is a relatively common term in the remote sensing field, are rarely described in detail. Brom et al. (2011) state that the NDWI "expresses surface moisture conditions". While this definition may be useful when analyzing relative change over a time sequence the lack of a quantitative reference makes the assessments difficult to use in ecological studies. A focus on percent of surface water appears to be a more robust and well defined approach than mapping “wetness”. It has been used successfully by Rover (2010) and Weiss and Crabtree (2011). Surface water maps or inundation are also more easily understood and applicable in the ecological domain. Lacaux et al. (2007) used maps of surface water in Senegal to study the potential transmission of Rift Valley Fever. 2. METHODOLOGY

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