Synergy of airborne LiDAR and Worldview-2 satellite imagery for landcover and habitat mapping: A BIO SOS-EODHaM case study for the Netherlands

International Journal of Applied Earth Observation and Geoinformation

Volumn 37, Issue , 2015, Pages 48-55

  Mucher C A ^a   Roupioz, L ^a   Kramer, H ^a   Bogers, M M B ^a   Jongman, R H G ^a   Lucas, R M ^b   Kosmidou, V E ^c   Petrou, Z ^c   Manakos, I ^c   Padoa Schioppa, E ^d   Adamo, M ^d   Blonda, P ^e  

^a WAGENINGEN UNIVERSITY   (Netherlands)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

^c INFORMATION TECHNOLOGIES INSTITUTE   (Greece)

^d UNIVERSITY OF MILANO BICOCCA   (Italy)

^e INSTITUTE OF INTELLIGENT SYSTEMS FOR AUTOMATION   (Italy)

Author keywords

General habitat categories; Land cover; LiDAR; Optical remote sensing; Vegetation structure

Indexed keywords

BIODIVERSITY; CLASSIFICATION; DATA INTERPRETATION; HABITAT USE; LAND COVER; LIDAR; MAPPING; MONITORING SYSTEM; SATELLITE IMAGERY; VEGETATION STRUCTURE; WORLDVIEW;

NETHERLANDS;

EID: 84930631484     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2014.09.001     Document Type: Article

References (18)

1. Adamo, M., Tarantino, C., Tomaselli, V., Kosmidou, V., Petrou, Z., Manakos, I., Lucas, R.M., Mucher, C.A., Veronico, G., Marangi, C., De Pasquale, V., Blonda, P., 2014.Expert knowledge for translating land cover/use maps to General Habitat Cate-gories (GHCs). Landsc. Ecol., http://dx.doi.org/10.1007/s10980-014-0028-9.
2. Akay, A.E., Oğuz, H., Karas, I.R., Aruga, K., 2008. Using LiDAR technology in forestryactivities. Environ. Monit. Assess. 151 (1-4), 117-125.
3. Bunce, R.G.H., Metzger, M.J., Jongman, R.H.G., Brandt, J., De Blust, G., Elena-Rossello, R., Groom, G.B., Halada, L., Hofer, G., Howard, D.C., Ková, P., Mücher, C.A., Padoa-Schioppa, E., Paelinx, D., Palo, A., Perez-Soba, M., Ramos, I.L., Roche, P., Skånes, H., Wrbka, T., 2008. A standardized procedure for surveillance and mon-itoring European habitats and provision of spatial data. Landsc. Ecol. 23 (1),11-25.
4. Bunce, R.G.H., Bogers, M.M.B., Roche, P., Walczak, M., Geijzendorffer, I.R., Jongman, R.H.G., 2011. Manual for Habitat and Vegetation Surveillance and Monitor-ing: Temperate, Mediterranean and Desert Biomes, 1st ed. Alterra report 2154, Wageningen.
5. Carson, W.W., Andersen, H.E., Reutebuch, S.E., Mc Gaughey, R.J., 2004. LiDAR Appli-cations in Forestry - an overview. Denver, Colorado.
6. di Gregorio, A., Jansen, L.J.M., 2005. Land Cover Classification System (LCCS): Classi-fication Concepts and User Manual for Software. Version 2. Technical Report 8.FAO Environment and Natural Resources Service Series, Rome.
7. Evans, J.S., Hudak, A.T., 2007. A multiscale curvature algorithm for classifying dis-crete return LiDAR in forested environments. IEEE Trans. Geosci. Remote Sens.45 (4), 1029-1038.
8. Geerling, G.W., Vreeken-Buijs, M.J., Jesse, P., Ragas, A.M.J., Smits, A.J.M., 2009. Map-ping river floodplain ecotopes by segmentation of spectral (CASI) and structural(LiDAR) remote sensing data. River Res. Appl. 25 (7), 795-813.
9. Graf, R.F., Mathys, L., Bollmann, K., 2009. Habitat assessment for forest dwellingspecies using LiDAR remote sensing: Capercaillie in the Alps. For. Ecol. Manage.257 (1), 160-167.
10. Korpela, I., Koskinen, M., Vasander, H., Holopainen, M., Minkkinen, K., 2009. Air-borne small-footprint discrete-return LiDAR data in the assessment of borealmire surface patterns, vegetation, and habitats. For. Ecol. Manage. 258 (7),1549-1566.
11. Kosmidou, V., Petrou, Z., Bunce, R.G.H., Mücher, C.A., Jongman, R.H.G., Bogers, M.M.B., Lucas, R., Tomaselli, V., Blonda, P., Padoa-Schioppa, E., Petrou, M., 2014. Harmo-nization of the Land Cover Classification System (LCCS) with the General HabitatCategories (GHC) classification system. Ecol. Indic. 36, 290-300.
12. Lucas, R.M., Blonda, P., Bunting, P.F., Jones, G., Inglada, J., Arias, M., Kosmidou, V., Petrou, Z., Manakos, I., Adamo, M., Charnock, R., Tarantino, C., Mücher, C.A., Kramer, H., Jongman, R., Honrado, J., Mairota, P., Arvor, D., 2015. The Earth Obser-vation Data for Habitat Monitoring (EODHaM) system. Submitted to SpecialIssue on Earth Observation for Habitat Mapping and Biodiversity Monitoring. Int. J. Appl. Earth Observ. 37, 17-28.
13. Mallet, C., Bretar, F., 2009. Full-waveform topographic LiDAR: state-of-the-art. ISPRSJ. Photogramm. Remote Sens. 64 (1), 1-16.
14. Mücher, C.A., Roupioz, L., Kramer, H., Lucas, R.M., Petrou, Z., Kosmidou, V.E., Man-akos, I., Padoa-Schioppa, E., Ficetola, G.F., Bonardi, A., Adamo, M., Blonda, 2013.LIDAR as a valuable information source for habitat mapping. In: GI Forum2013 'Creating the GISociety', Symposium Ecosystem and Biodiversity Moni-toring - Best Practice in Europe and Globally, Salzburg, Austria, 2-5 July, pp.520-523.
15. Petrou, Z.I., Manakos, I., Stathaki, T., Tarantino, C., Adamo, M., Blonda, P., 2013. A veg-etation height classification approach based on texture analysis of a single VHRimage. In: 35th International Symposium on Remote Sensing of Environment, Beijing, China, 22-26 April.
16. Raunkiaer, C., 1934. The Life Forms of Plants and Statistical Plant Geography, Beingthe Collected Papers of C Raunkiaer. Clarendon, Oxford.
17. St-Onge, B., 2005. LiDAR remote sensing: overview of technology and applications. In: Proceedings of the 26th Canadian Symposium on Remote Sensing.
18. Vierling, K.T., Vierling, L.A., Gould, W.A., Martinuzzi, S., Clawges, R.M., 2008. LiDAR:shedding new light on habitat characterization and modeling. Front. Ecol. Envi-ron. 6 (2), 90-98.