Platform / sensor pixel resolution(m) spectral spectral rangeresolutionAVHRR 1100 5 VNIR-TIRSPOT veg 1150 4 VNIR-SWIRTERRA/MODIS 250/500/1000 36 VNIR-SWIR-TIRTERRA/ASTER 15,30,90 16 VNIR-SWIR-TIRTERRA/MSIR 275/1150 4 VNIRLANDSAT /TM 30,120 7 VNIR-SWIR-TIRLANDSAT / ETM 30,60,15 8 PAN +TMSPOT HRV 10,20 4 PAN, VNIRSPOTHRVIR 10,20 5 SWIR-HRVQUICKBIRD 0.61, 2.44 5 PAN, VNIRIKONOS 1, 4 5 PAN, VNIRAVIRIS HYMAP 4,20 168-224 VNIR, SWIRCASI-2 5 48-288 VNIRADAR 5500 0.5 4 VNIRRADARSAT 25 * *ENVISAT/ASAR 30 DUALPOLARIZATIONERS1/2 25LIDAR
Available datasetsThe first task in developing a susceptibility map involves an assessment <strong>of</strong> the available data. The followingdatasets were available for the case study:Theme Source Scale ExtentSoilAn Foras Taluntais 1:127,560 Western half <strong>of</strong> MayoEPA Soil & Subsoil 1:50,000-1:100,000 Entire countyMapping Project (Nominal)LandcoverEPA Soil & Subsoil 1 Ha grid cell resolution Entire countyMapping ProjectSlope EPA-Teagasc DEM 20m grid cell resolution Entire countyTable 5.3 Datasets available for Co. Mayo case studyDataset background informationAt the outset <strong>of</strong> the EPA Soil & Subsoil Mapping Project (initially established as the FIPS-IFS project), lessthan half <strong>of</strong> the country’s soils had been surveyed and published at a detailed reconnaissance (1:126,720)scale (Fealy et al., 2004). This necessitated the development <strong>of</strong> soil mapping for the remainder <strong>of</strong> the countryat a similar scale. Due <strong>to</strong> the short project time frame, remote sensing and GIS techniques were incorporatedin<strong>to</strong> the project methodology.The EPA Soil & Subsoil Mapping Project developed a methodology for the creation <strong>of</strong> a first-approximation soilclassification for those areas not previously surveyed by the National Soil <strong>Survey</strong>. This also involved the production<strong>of</strong> a subsoils map for the entire country using stereo-pho<strong>to</strong>grammetric interpretation supported by field work.The use <strong>of</strong> stereo-pho<strong>to</strong>grammetric image pairs facilitated viewing <strong>of</strong> the landscape in a simulated 3-dimensionalenvironment. This technique is well established in soil survey methodology and is widely used internationally.Map units are discriminated using visual signals from the imagery such as texture, <strong>to</strong>ne and appearance alongwith contextual information provided by 3D viewing. Vegetation overlying peat is generally very easilydiscriminated from the imagery, facilitating generally high accuracy levels for the classification <strong>of</strong> peat.Within the same project, a landcover map <strong>of</strong> <strong>Ireland</strong> has been developed using supervised classification <strong>of</strong>satellite imagery acquired by the Thematic Mapper (TM) sensor on board Landsat 5. The resulting land coverthematic map illustrates the distribution <strong>of</strong> land cover classes. These classes represent groupings <strong>of</strong> vegetationtypes, developed from aerial pho<strong>to</strong>graphic training data, and are indicative <strong>of</strong> vegetation type in a broad sense.The EPA-Teagasc DEM was developed using ANUDEM s<strong>of</strong>tware and the Ordnance <strong>Survey</strong> <strong>of</strong> <strong>Ireland</strong> 1:50,000data as input. (Pres<strong>to</strong>n and Mills, 2002).The National Soil <strong>Survey</strong> (NSS) was initiated in 1959, shortly after the establishment <strong>of</strong> An Foras Taluntais(AFT), the precursor organisation <strong>to</strong> Teagasc. During the period <strong>of</strong> operation <strong>of</strong> the NSS, a number <strong>of</strong> soilsurvey outputs were produced at varying scales. Chief amongst these was the publication <strong>of</strong> 1:127,560 scalemapping for approximately 44% <strong>of</strong> the country.The NSS Soil Map <strong>of</strong> West Mayo was developed using the established methods <strong>of</strong> soil survey used in othercounties in <strong>Ireland</strong>. This involved mapping soils in the field and the production <strong>of</strong> a reduced scale soil map forpublication at 1:127,560 scale. Although available for only half <strong>of</strong> Co. Mayo, the map provided a very usefuldataset <strong>to</strong> assess the other datasets used in this case study.Methodology and resultsThe production <strong>of</strong> the susceptibility map based on the criteria supplied by the geotechnical sub-group isrelatively straightforward in the sense <strong>of</strong> the GIS methodology used. In simple terms, it requires the input <strong>of</strong> aslope map, a peat map, and the application <strong>of</strong> the criteria thresholds.The development <strong>of</strong> a slope map for Co. Mayo for this case study was straightforward. The slope map wasproduced in ESRI Grid format using ESRI ArcView s<strong>of</strong>tware. Conceptually, the slope request fits a plane <strong>to</strong> a3x3 cell neighbourhood <strong>of</strong> height values from the DEM around the processing or centre cell. The slope for thecell is calculated from the 3x3 neighbourhood using an average maximum technique.The development <strong>of</strong> a peat map suitable for use in mapping susceptibility, although theoretically straightforward,is a somewhat more difficult task. This is illustrated by the results <strong>of</strong> the first run <strong>of</strong> the susceptibility model.39
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Landslides in IrelandGeological Sur
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Priority 1 Peat slides and peat str
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TEXT REFERENCESAcreman, M., 1991. T
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Skipper, J., Follett, B., Menkiti,
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APPENDIX 2Glossary of TermsBlanket
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APPENDIX 3Nomenclature for Landslid
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Hammond, R. 1979. The Peatlands of
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APPENDIX 7Useful Web Linkswww.gsi.i