[1]
Baily, B. and Nowell, D. 1996. Techniques for monitoring coastal change: a review and case study. Ocean & Coastal Management. 32, 2 (1996), 85–95. https://doi.org/10.1016/S0964-5691(96)00058-0.
[2]
Band, L.E. Topographic Partition of Watersheds with Digital Elevation Models. Water Resources Research. 22, 1, 15–24. https://doi.org/10.1029/WR022i001p00015.
[3]
Barfoot, P.J. and Tucker, J.J. 1980. Geomorphological changes at Blakeney Point. Transactions of the Norfolk and Norwich Naturalists Society. 25, 2 (1980), 49–60.
[4]
Bernhardsen, T. 1999. Geographic information systems: an introduction. Wiley.
[5]
Bock, M. 2003. Remote sensing and GIS-based techniques for the classification and monitoring of biotopes: Case examples for a wet grass- and moor land area in Northern Germany. Journal for Nature Conservation. 11, 3 (2003), 145–155. https://doi.org/10.1078/1617-1381-00050.
[6]
Boteva, D. et al. Evaluation and mapping of the conservation significance of habitats using GIS: an example from Crete, Greece. Journal for Nature Conservation. 12, 4, 237–250. https://doi.org/10.1016/j.jnc.2004.09.002.
[7]
Brewer, C.A. 2005. Designing better maps: a guide for GIS users. ESRI Press.
[8]
Carmona, C.P. et al. Grazing management or physiography? Factors controlling vegetation recovery in Mediterranean grasslands. Ecological Modelling. 251, 73–84. https://doi.org/10.1016/j.ecolmodel.2012.12.005.
[9]
Chaaban, F. and et al 2012. Using ArcGISH Modelbuilder and Aerial Photographs to Measure Coastline Retreat and Advance: North of France. Journal of Coastal Research. 28, 6 (2012), 1567–1579.
[10]
Chen, C.-Y. and Yu, F.-C. Morphometric analysis of debris flows and their source areas using GIS. Geomorphology. 129, 3–4, 387–397. https://doi.org/10.1016/j.geomorph.2011.03.002.
[11]
Dalton, T. et al. Mapping human dimensions in marine spatial planning and management: An example from Narragansett Bay, Rhode Island. Marine Policy. 34, 2, 309–319. https://doi.org/10.1016/j.marpol.2009.08.001.
[12]
DeMers, M.N. 2009. Fundamentals of geographic information systems. Wiley.
[13]
Dong, Z. et al. Monitoring sand dune advance in the Taklimakan Desert. Geomorphology. 35, 3–4, 219–231. https://doi.org/10.1016/S0169-555X(00)00039-8.
[14]
Draper, D. and et al Application of GIS in plant conservation programmes in Portugal. Biological Conservation. 113, 3, 337–349. https://doi.org/10.1016/S0006-3207(03)00125-3.
[15]
Duane Nellis, M. et al. Remote sensing of temporal and spatial variations in pool size, suspended sediment, turbidity, and Secchi depth in Tuttle Creek Reservoir, Kansas: 1993. Geomorphology. 21, 3–4, 281–293. https://doi.org/10.1016/S0169-555X(97)00067-6.
[16]
Ekebom, J. and Erkkila, A. Using aerial photography for identification of marine and coastal habitats under the EU’s Habitats Directive. Aquatic Conservation: Marine and Freshwater Ecosystems. 13, 4, 287–304. https://doi.org/10.1002/aqc.553.
[17]
Estes, J.E. 1966. Some applications of aerial infrared imagery. Allen Press Inc.
[18]
Evaluation of Riparian Buffer Zones using GIS and Remote Sensing to Target Watershed Restoration Efforts: 2004. http://igs.indiana.edu/WatershedHydrology/RiparianBuffers.cfm.
[19]
Fromard, F. et al. Half a century of dynamic coastal change affecting mangrove shorelines of French Guiana. A case study based on remote sensing data analyses and field surveys. Marine Geology. 208, 2–4, 265–280. https://doi.org/10.1016/j.margeo.2004.04.018.
[20]
Geospatial Analysis: 2021. https://www.spatialanalysisonline.com/HTML/index.html.
[21]
Greco, S.E. and Plant, R.E. Temporal mapping of riparian landscape change on the Sacramento river, miles 196–218, California, USA. Landscape Research. 28, 4, 405–426. https://doi.org/10.1080/0142639032000150149.
[22]
Hall, S.T. and Post, C.J. 2008. Advanced GIS Exercise: Estimating Beach and Dune Erosion in Coastal South Carolina. Journal of Natural Resources and Life Sciences Education. 37, (2008), 49–52.
[23]
Heywood, I. et al. 2006. An introduction to geographical information systems. Pearson Education.
[24]
Kadmon, R. and Harari-Kremer, R. Studying Long-Term Vegetation Dynamics Using Digital Processing of Historical Aerial Photographs. Remote Sensing of Environment. 68, 2, 164–176. https://doi.org/10.1016/S0034-4257(98)00109-6.
[25]
Kienzle, S. The Effect of DEM Raster Resolution on First Order, Second Order and Compound Terrain Derivatives. Transactions in GIS. 8, 1, 83–111. https://doi.org/10.1111/j.1467-9671.2004.00169.x.
[26]
Koch, T. 2004. The Map as Intent: Variations on the Theme of John Snow. Cartographica.
[27]
Leeks, G.J.L. and et al The LOIS river monitoring network: strategy and implementation. Science of The Total Environment. 194–195, 101–109. https://doi.org/10.1016/S0048-9697(96)05356-9.
[28]
Leonard, P.B. and et al Remote detection of small wetlands in the Atlantic coastal plain of North America: Local relief models, ground validation, and high-throughput computing. Forest Ecology and Management. 284, 107–115. https://doi.org/10.1016/j.foreco.2012.07.034.
[29]
Longley, P. and et al 2011. Geographic information systems & science. John Wiley & Sons.
[30]
Lundblad, E.R. and et al 2006. A Benthic Terrain Classification Scheme for American Samoa. Marine Geodesy. 29, 2 (2006), 89–111. https://doi.org/10.1080/01490410600738021.
[31]
Maddrell, R.J. Managed coastal retreat, reducing flood risks and protection costs, Dungeness Nuclear Power Station, UK. Coastal Engineering. 28, 1–4, 1–15. https://doi.org/10.1016/0378-3839(95)00035-6.
[32]
Manson, F.J. et al. Spatial and temporal variation in distribution of mangroves in Moreton Bay, subtropical Australia: a comparison of pattern metrics and change detection analyses based on aerial photographs. Estuarine, Coastal and Shelf Science. 57, 4, 653–666. https://doi.org/10.1016/S0272-7714(02)00405-5.
[33]
McGregor, S.J. An integrated geographic information system approach for modeling the suitability of conifer habitat in an alpine environment. Geomorphology. 21, 3–4, 265–280. https://doi.org/10.1016/S0169-555X(97)00066-4.
[34]
McKenna et al., J. 2003. Obsolete Maps and Coastal Management: Case Studies from Northwest Ireland. Coastal Management. 31, 3 (2003), 229–246.
[35]
Meso-scale morphological changes in the Loughros More estuary: 2002. http://sheskinmore.wordpress.com/research/.
[36]
van der Meulen, F. et al. The use of a GIS in assessing the impacts of sea level rise on nature conservation along the Dutch coast: 1990–2090. Landscape Ecology. 6, 1–2, 105–113. https://doi.org/10.1007/BF00157750.
[37]
Miller, S.N. and et al The Automated Geospatial Watershed Assessment tool. Environmental Modelling & Software. 22, 3, 365–377. https://doi.org/10.1016/j.envsoft.2005.12.004.
[38]
Moore, T. and et al An Expert System for Integrated Coastal Zone Management: A Geomorphological Case Study. Marine Pollution Bulletin. 37, 3–7, 361–370. https://doi.org/10.1016/S0025-326X(99)00129-0.
[39]
Multibeam sonar mapping and modeling of a submerged bryophyte mat in Crater Lake, Oregon: 2008. http://pubs.usgs.gov/ds/366/.
[40]
Naito, A.T. and Cairns, D.M. Relationships between Arctic shrub dynamics and topographically derived hydrologic characteristics. Environmental Research Letters. 6, 4. https://doi.org/10.1088/1748-9326/6/4/045506.
[41]
Nams, V.O. et al. Determining the spatial scale for conservation purposes – an example with grizzly bears. Biological Conservation. 128, 1, 109–119. https://doi.org/10.1016/j.biocon.2005.09.020.
[42]
Neilson, B. and Costello, M.J. The Relative Lengths of Seashore Substrata Around the Coastline of Ireland as Determined by Digital Methods in a Geographical Information System. Estuarine, Coastal and Shelf Science. 49, 4, 501–508. https://doi.org/10.1006/ecss.1999.0507.
[43]
Pedersen, Å.Ø. et al. Implementation of a GIS-based management tool for conservation of biodiversity within the municipality of Oslo, Norway. Landscape and Urban Planning. 68, 4, 429–438. https://doi.org/10.1016/S0169-2046(03)00148-8.
[44]
Perotto-Baldiviezo, H.L. and et al GIS-based spatial analysis and modeling for landslide hazard assessment in steeplands, southern Honduras. Agriculture, Ecosystems & Environment. 103, 1, 165–176. https://doi.org/10.1016/j.agee.2003.10.011.
[45]
Rozo, M.G. et al. The anastomosing pattern and the extensively distributed scroll bars in the middle Amazon River. Earth Surface Processes and Landforms. 37, 14, 1471–1488. https://doi.org/10.1002/esp.3249.
[46]
Rumsby, B. Vertical accretion rates in fluvial systems: ­a comparison of volumetric and depth-based estimates. Earth Surface Processes and Landforms. 25, 6, 617–631. https://doi.org/10.1002/1096-9837(200006)25:6<617::AID-ESP99>3.0.CO;2-Z.
[47]
Rumsby, B.T. and Macklin, M.G. Channel and floodplain response to recent abrupt climate change: The tyne basin, Northern England. Earth Surface Processes and Landforms. 19, 6, 499–515. https://doi.org/10.1002/esp.3290190603.
[48]
Salem, B.B. Application of GIS to biodiversity monitoring. Journal of Arid Environments. 54, 1, 91–114. https://doi.org/10.1006/jare.2001.0887.
[49]
Sear, D.A. and Newson, M.D. Environmental change in river channels: a neglected element. Towards geomorphological typologies, standards and monitoring. Science of The Total Environment. 310, 1–3, 17–23. https://doi.org/10.1016/S0048-9697(02)00619-8.
[50]
Sheppard, C.R.C. and et al Habitat mapping in the Caribbean for management and conservation: Use and assessment of aerial photography. Aquatic Conservation: Marine and Freshwater Ecosystems. 5, 4, 277–298. https://doi.org/10.1002/aqc.3270050404.
[51]
Sørensen, R. et al. On the calculation of the topographic wetness index: evaluation of different methods based on field observations. Hydrology and Earth System Sciences. 10, 1, 101–112. https://doi.org/10.5194/hess-10-101-2006.
[52]
Sutherland, J. Error analysis of Ordnance Survey map tidelines, UK. Proceedings of the ICE - Maritime Engineering. 165, 4, 189–197. https://doi.org/10.1680/maen.2011.10.
[53]
Tarboton, D.G. et al. On the extraction of channel networks from digital elevation data. Hydrological Processes. 5, 1, 81–100. https://doi.org/10.1002/hyp.3360050107.
[54]
Taylor, J.C. et al. Monitoring landscape change in the National Parks of England and Wales using aerial photo interpretation and GIS. International Journal of Remote Sensing. 21, 13–14, 2737–2752. https://doi.org/10.1080/01431160050110269.
[55]
Teng, J. et al. A GIS-Based Tool for Spatial and Distributed Hydrological Modelling: CLASS Spatial Analyst. Transactions in GIS. 12, 2, 209–225. https://doi.org/10.1111/j.1467-9671.2008.01096.x.
[56]
Thompson, S. and et al Identifying potential breeding sites for the stone curlew (Burhinus oedicnemus) in the UK. Journal for Nature Conservation. 12, 4, 229–235. https://doi.org/10.1016/j.jnc.2004.07.002.
[57]
Thorbjarnarson, J. and et al Regional habitat conservation priorities for the American crocodile. Biological Conservation. 128, 1, 25–36. https://doi.org/10.1016/j.biocon.2005.09.013.
[58]
Vitek, J.D. et al. Mapping geomorphology: A journey from paper maps, through computer mapping to GIS and Virtual Reality. Geomorphology. 16, 3, 233–249. https://doi.org/10.1016/S0169-555X(96)80003-1.
[59]
Walsh, S.J. et al. An overview of scale, pattern, process relationships in geomorphology: a remote sensing and GIS perspective. Geomorphology. 21, 3–4, 183–205. https://doi.org/10.1016/S0169-555X(97)00057-3.
[60]
White, K. and El Asmar, H.M. Monitoring changing position of coastlines using Thematic Mapper imagery, an example from the Nile Delta. Geomorphology. 29, 1–2, 93–105. https://doi.org/10.1016/S0169-555X(99)00008-2.
[61]
Wilson, M.F.J. and et al Multiscale Terrain Analysis of Multibeam Bathymetry Data for Habitat Mapping on the Continental Slope. Marine Geodesy. 30, 1–2, 3–35. https://doi.org/10.1080/01490410701295962.
[62]
Wright, D.J. and Heyman, W.D. Introduction to the Special Issue: Marine and Coastal GIS for Geomorphology, Habitat Mapping, and Marine Reserves. Marine Geodesy. 31, 4, 223–230. https://doi.org/10.1080/01490410802466306.