Potential application of remote sensing in monitoring ecosystem services of forests, mangroves and urban areas

Geocarto International

Volumn 32, Issue 8, 2017, Pages 874-885

  Avtar, Ram ^a,b   Kumar, Pankaj ^a   Oono, Akiko ^a   Saraswat, Chitresh ^a   Dorji, Singay ^a   Hlaing, Zarchi ^a  

^a UNITED NATIONS UNIVERSITY   (Japan)

^b HOKKAIDO UNIVERSITY   (Japan)

Author keywords

Ecosystem services; NDVI; remote sensing

Indexed keywords

AERIAL PHOTOGRAPHY; ECOSYSTEM SERVICE; FOREST ECOSYSTEM; MANGROVE; MONITORING SYSTEM; NDVI; REMOTE SENSING; URBAN AREA;

RHIZOPHORACEAE;

EID: 85020261949     PISSN: 10106049     EISSN: None     Source Type: Journal    
DOI: 10.1080/10106049.2016.1206974     Document Type: Review

References (65)

1. Adams MP, Smith PL. 2014. A systematic approach to model the influence of the type and density of vegetation cover on urban heat using remote sensing. Landscape Urban Plan. 132:47–54. 10.1016/j.landurbplan.2014.08.008.10.1016/j.landurbplan.2014.08.008
2. Allen CD. 1994. Ecological perspective:linking ecology, GIS and remote sensing to ecosystem management. In:Sample A, editor. Remote sensing and GIS in ecosystem management. Covelo, CA:Island Press; p. 111–139.
3. Alongi DM. 2008. Mangrove forests:resilience, protection from tsunamis, and responses to global climate change. Estuarine Coastal Shelf Sci. 76:1–13.
4. Alongi DM. 2002. Present state and future of world’s mangrove forest. Environ Conserv. 29:331–349.
5. Aschbacher J, Ofren R, Delsol JP, Suselo TB, Vibulsresth S, Charrupat T. 1995. An integrated comparative approach to mangrove vegetation mapping using advanced remote sensing and GIS technologies:preliminary results. Hydrologica. 295:285–295.
6. Avtar R, Sawada H, Takeuchi W, Singh G. 2012. Characterization of forests and deforestation in Cambodia using ALOS/PALSAR observation. Geocarto Int. 27:119–137.10.1080/10106049.2011.626081
7. Avtar R, Suzuki R, Takeuchi W, Sawada H. 2013. PALSAR 50 m mosaic based national level biomass estimation for REDD+ policies implementation. PLoS One. 8:e74807, 1–11.
8. Avtar R, Takeuchi W, Sawada H. 2013. Full polarimetric PALSAR based land cover monitoring in Cambodia for implementation of REDD policies. Int J Digital Earth. 6:255–275.10.1080/17538947.2011.620639
9. Behling R, Bochow M, Foerster S, Roessner S, Kaufmann H. 2015. Automated GIS-based derivation of urban ecological indicators using hyperspectral remote sensing and height information. Ecol Indic. 48:218–234.10.1016/j.ecolind.2014.08.003
10. Blasco F, Gauquelin T, Rasolofoharinoro M, Denis J, Aizpuru M, Caldairou V. 1998. Recent advances in mangrove studies using remote sensing data. Mar Freshwater Res. 49:287–296.10.1071/MF97153
11. Bolund P, Hunhammer S. 1999. Ecosystem services in urban areas. Ecol Econ. 29:293–301.10.1016/S0921-8009(99)00013-0
12. Catherine L. 1964. Field guide to the mangroves of Queensland. Perth:Australian Institute of Marine Science (AIMS). ISBN 0 642 18502 6.
13. Costanza R, d’Arge R, De Groot R, Farber S, Grasso M, Hannon B, Suttonkk P. 1997. The value of the world’s ecosystem services and natural capital. Nature. 387:253–260. 10.1038/387253a0.
14. Dahdouh-Guebas F. 2002. The use of remote sensing and GIS in the sustainable management of tropical coastal ecosystems. Environ Dev Sustainability. 4:93–112.
15. Dobbs C, Escobedo FJ, Zipperer WC. 2011. A framework for developing urban forest ecosystem services and goods indicators. Landscape Urban Plan. 99:196–206. 10.1016/j.landurbplan.2010.11.004.
16. Du Q, Luo Y, Tan K. 2012. Evaluation of the spatio-temporal pattern of urban ecological security using remote sensing and GIS. Int J Remote Sens. 34:848–863.
17. [FAO] Food and Agriculture Organization of the United Nations. 2007. The world’s mangroves 1980–2005. FAO Forestry Paper 153. Rome:FAO.
18. Franco-Lopez H, Ek AR, Bauer ME. 2001. Estimation and mapping of forest stand density, volume, and cover type using the k-nearest neighbors method. Remote Sens. Environ. 77:251–274.10.1016/S0034-4257(01)00209-7
19. Fromard F, Vega C, Proisy C. 2004. 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. Mar Geol. 208:265–280.10.1016/j.margeo.2004.04.018
20. Giri C, Ochieng E, Tieszen LI, Shu Z, Singh A, Loveland T, Duke N. 2011. Status and distribution of mangrove forests of the world using earth observation satellite data. Global Ecol Biogeogr. 20:154–159.10.1111/geb.2011.20.issue-1
21. Green K, Kempka D, Lackey L. 1994. Using remote sensing to detect and monitor land-cover and land use change. Photogramm Eng Remote Sens. 60:331–337.
22. Green EP, Clark CD, Mumby PJ, Edwards AJ, Ellis AC. 1998. Remote sensing techniques for mangrove mapping. Int J Remote Sens. 19:935–956.
23. Guebas FD. 2002. The use of remote sensing and GIS in the sustainable management of tropical coastal ecosystems. Environ Dev Sustainability. 4:93–112.10.1023/A:1020887204285
24. Herold B, Scepan J, Clarke KC. 2002. The use of remote sensing and landscape metrics to describe structures and changes in urban land uses. Environ Plan A. 34:1443–1458.10.1068/a3496
25. Herold M, Roberts DA, Gardner ME, Dennison PE. 2004. Spectrometry for urban area remote sensing–development and analysis of a spectral library from 350 to 2400 nm. Remote Sens. Environ. 91:304–319.10.1016/j.rse.2004.02.013
26. Kaya S, Musaoglu N, Ormeci C, Muftuoglu O. 1998. Forest damage assesment by using remote sensing data. ISPRS Commission IV Symposium on GIS–Between Vision and applications, Stuttgart. Vol. 32/4, p. 284–1987.
27. Kirui KB, Kairo JG, Bosire J, Viergever KM, Rudra S, Huxham M, Briers RA. 2013. Mapping of mangrove forest land cover change along the Kenya coastline using Landsat imagery. Ocean Coastal Manage. 83:19–24.
28. Kritikos G, Charalambidis A. 1995. Assessment of forest fire damages in attiki using remote sensing and GIS techniques. EARSeL Adv Remote Sens. 4:47–53.
29. Kuenzer C, Tuan QC. 2013. Assessing the ecosystem services value of can Gio. Mangrove biosphere reserve:combining earth-observation- and household-survey-based analyses. Appl Geogr. 45:167–184.10.1016/j.apgeog.2013.08.012
30. Kuntz S. 2010. Potential of spaceborne SAR for monitoring the tropical environments. Trop Ecol. 51:3–10.
31. Lakes T, Kim HO. 2012. The urban environmental indicator “biotope Area Ratio”–An enhanced approach to assess and manage the urban ecosystem services using high resolution remote-sensing. Ecol Indic. 13:93–103. 10.1016/j.ecolind.2011.05.016.
32. Lawley V, Lewis M, Clarke K, Ostendorf B. 2016. Site-based and remote sensing methods for monitoring indicators of vegetation condition:An Australian review. Ecol Indicators. 60:1273–1283.
33. Li F, Ye YP, Song BW, Wang RS, Tao Y. 2014. Assessing the changes in land use and ecosystem services in Changzhou municipality, Peoples’ Republic of China, 1991–2006. Ecol Indic. 42:95–103. 10.1016/j.ecolind.2013.11.012.
34. Long BG, Skewes TD. 1996. A technique for mapping mangroves with Landsat TM satellite data and geographic information system. Estuarine Coastal Shelf Sci. 43:373–381.10.1006/ecss.1996.0076
35. Lu D. 2006. The potential and challenge of remote sensing-based biomass estimation. Int J Remote Sens. 27:1297–1328.10.1080/01431160500486732
36. Lucas R, Rebelo L, Fatoyinbo L, Rosenqvist A, Itoh T, Shimada M, Simard M, Souza-Filho H, Nathan Thomas P, Trettin C, et al. 2014. Contribution of L-band SAR to systematic global mangrove monitoring. Mar Freshwater Res. 65:589–603.10.1071/MF13177
37. Martinuzzi S, Gould WA, Gonzalez OMR. 2007. Land development, land use, and urban sprawl in Puerto Rico integrating remote sensing and population census data. Landscape Urban Plan. 79:288–297.10.1016/j.landurbplan.2006.02.014
38. Nemec KT, Raudsepp-Hearne C. 2013. The use of geographic information systems to map and assess ecosystem services. Biodivers Conserv. 22:1–15.
39. Neukermans G, Dahdouh-Guebas F, Kairo JG, Koedam N. 2008. Mangrove species and stand mapping in Gazi bay (Kenya) using quickbird satellite imagery. J Spatial Sci. 53:75–86.10.1080/14498596.2008.9635137
40. Olwig MF, Sørensen MK, Rasmussen MS, Danielsen F, Selvam V, Hansen LB, Nyborg L, Vestergaard KB, Parish F, Karunagaran VM. 2007. Using remote sensing to assess the protective role of coastal woody vegetation against tsunami waves. Int J Remote Sens. 28:3153–3169.10.1080/01431160701420597
41. Phinn S, Stanford M, Scarth P, Murray AT, Shyy PT. 2002. Monitoring the composition of urban environments based on the vegetation impervious surface-soil (VIS) model by subpixel analysis techniques. Int J Remote Sens. 23:4131–4153.10.1080/01431160110114998
42. Potter C, Klooster S. 2013. Forest production predicted from satellite image analysis for the Southeast Asia region. Carbon Balance Manage. 8:9. doi:10.1186/1750-0680-8-9.10.1186/1750-0680-8-9
43. Rahman AF, Dragoni D, Didan K, Barreto-Munoz A, Hutabarat JA. 2013. Detecting large scale conversion of mangroves to aquaculture with change point and mixed-pixel analyses of high-fidelity MODIS data. Remote Sens. Environ. 130:96–107.10.1016/j.rse.2012.11.014
44. Rasolofoharinoro M, Blasco F, Bellan MF, Aizpuru M, Gauquelin T, Denis J. 1998. A remote sensing based methodology for mangrove studies in Madagascar. Int J Remote Sens. 19:1873–1886.10.1080/014311698215036
45. Reid WV, Mooney HA, Cropper A, Capistrano D, Carpenter SR, Chopra K, Dasgupta P, Leemans R, May RM, Pingali P, et al. 2005. Millennium ecosystem assessment synthesis report. A report of the millennium ecosystem assessment. Washington, DC:Island Press; p. 155.
46. Rodriguez W, Feller IC. 2004. Mangrove landscape characterization and change in Twin Cays, Belize using aerial photography and IKONOS satellite data. Atoll Res Bull. 513:1–22.10.5479/si.00775630.513.1
47. Rouse JW, Has RH, Schell JA, Deering DW. 1974. Monitoring vegetation systems in the Great Plains with ERTS. In:Proceedings, Third Earth Resources Technology Satellite–1 Symposium. Green-belt:NASA SP-351; p. 3010–3017.
48. Ruiz-Luna A, Berlanga-Robles CA. 1999. Modifications in coverage patterns and land use around the Huizache-Caimanero lagoon system, Sinaloa, Mexico:a multi-temporal analysis using Landsat images. Estuarine Coastal Shelf Sci. 49:37–44.10.1006/ecss.1999.0489
49. Schröter D, Cramer W, Leemans R, Prentice IC, Araújo MB, Arnell NW, Bondeau A, Bugmann H, Carter TR, Gracia CA, et al. 2005. Ecosystem service supply and vulnerability to global change in Europe. Science. 310:1333–1337. doi:10.1126/science.1115233.
50. Seto KC, Fragkias M. 2007. Mangrove conversion and aquaculture development in Vietnam:a remote sensing-based approach for evaluating the Ramsar convention on Wetlands. Global Environ Change. 17:486–500.10.1016/j.gloenvcha.2007.03.001
51. Smith AMS, Kolden CA, Tinkham WT, Talhelm AF, Marshall JD, Hudak AT, Boschetti L, Falkowski MJ, Greenberg JA, Anderson JW, et al. 2014. Remote sensing the vulnerability of vegetation in natural terrestrial ecosystems. Remote Sens Environ. 154:322–337.
52. Smith AMS, Lentile LB, Hudak AT, Morgan P. 2007. Evaluation of linear spectral unmixing and dNBR for predicting post-fire recovery in a N. American ponderosa pine forest. Int J Remote Sens. 22:5159–5166.
53. Solecki W, Marcotullio PJ. 2013. Climate change and urban biodiversity vulnerability. In:Elmqvist T, Fragkias M, Goodness J, Güneralp B, Marcotullio PJ, McDonald RI, Parnell S, Schewenius M, Sendstad M, Seto KC, et al., editors. Urbanization, biodiversity and ecosystem services:Challenges and opportunities. Springer; p. 485–504. 10.1007/978-94-007-7088-1.
54. Su S, Xiao R, Jiang Z, Zhang Y. 2012. Characterizing landscape pattern and ecosystem service value changes for urbanization impacts at an eco-regional scale. Appl Geogr. 34:295–305. 10.1016/j.apgeog.2011.12.001.
55. Tomlinson PB. 1986. The botany of mangroves. Melbourne:Cambridge University Press.
56. Tuan VQ, Kuenzer C. 2012. Can Gio mangrove biosphere reserve evaluation 2012 current status, dynamics, and ecosystem services. Hanoi:IUCN report; p. 102.
57. Vo QT, Oppelt N, Leinenkugel P, Kuenzer C. 2013. Remote sensing in mapping mangrove ecosystems–an object-based approach. Remote Sens. 5:183–201.10.3390/rs5010183
58. Wang L, Sousa WP, Gong P, Biging GS. 2004. Comparison of IKONOS and QuickBird images for mapping mangrove species on the Caribbean coast of Panama. Remote Sens. Environ. 91:432–440.10.1016/j.rse.2004.04.005
59. Weng Q. 2002. Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling. J Environ Manage. 64:273–284.10.1006/jema.2001.0509
60. Weng Q. 2009. Thermal infrared remote sensing for urban climate and environmental studies:methods, applications, and trends. ISPRS J Photogramm Remote Sens. 64:335–344.10.1016/j.isprsjprs.2009.03.007
61. Wilson JS, Clay M, Martin E, Stuckey E, Vedder-Risch K. 2003. Evaluating environmental influences of zoning in urban ecosystems with remote sensing. Remote Sens Environ. 86:303–321.10.1016/S0034-4257(03)00084-1
62. Wu K, Ye X, Qi Z, Zhang H. 2013. Impacts of land use/land cover change and socioeconomic development on regional ecosystem services:the case of fast-growing Hangzhou metropolitan area, China. Cities. 31:276–284.10.1016/j.cities.2012.08.003
63. Xiao J, Shen Y, Ge J, Tateishi R, Tang C, Liang Y, Huang Z. 2006. Evaluating urban expansion and land use change in Shijiazhuang, China, by using GIS and remote sensing. Landscape Urban Plan. 75:69–80.10.1016/j.landurbplan.2004.12.005
64. Xie GD, Lu CX, Xiao Y, Zheng D. 2003. The economic evaluation of grassland ecosystem services in qinghai-tibet plateau. J Mt Res. 21:50–55.
65. Zhao B, Kreuter U, Li B, Ma Z, Chen J, Nakagoshi N. 2004. An ecosystem service value assessment of land-use change on Chongming Island, China. Land Use Policy. 21:139–148.10.1016/j.landusepol.2003.10.003