An integrated approach of remote sensing, GIS and swarm intelligence for zoning protected ecological areas

Landscape Ecology

Volumn 27, Issue 3, 2012, Pages 447-463

  Liu, Xiaoping ^a   Lao, Chunhua ^a   Li, Xia ^a   Liu, Yilun ^a   Chen, Yimin ^a  

^a SUN YAT SEN UNIVERSITY   (China)

Author keywords

ACO; GIS; Protected ecological areas; Remote sensing; Zoning

Indexed keywords

ARTIFICIAL INTELLIGENCE; EXPERIMENTAL STUDY; GENETIC ALGORITHM; GIS; INTEGRATED APPROACH; LAND USE CHANGE; NUMERICAL MODEL; OPTIMIZATION; PHEROMONE; PROTECTED AREA; REMOTE SENSING;

CHINA; DONGGUAN; GUANGDONG;

FORMICIDAE;

EID: 84856427867     PISSN: 09212973     EISSN: 15729761     Source Type: Journal    
DOI: 10.1007/s10980-011-9684-1     Document Type: Article

References (46)

1. Barling R, Moore I, Grayson R (1994) A quasi-dynamic wetness index for characterizing the spatial distribution of zones of surface saturation and soil water content. Water Resour Res 30: 1029-1044.
2. Bos J (1993) Zoning in forest management: a quadratic assignment problem solved by simulated annealing. J Environ Manag 37: 127-145.
3. Carsjens G, van der Knaap W (2002) Strategic land-use allocation: dealing with spatial relationships and fragmentation of agriculture. Landsc Urban Plan 58: 171-179.
4. Church R, Gerrard R, Gilpin M, Stine P (2003) Constructing cell-based habitat patches useful in conservation planning. Ann Assoc Am Geogr 93: 814-827.
5. Cocks K, Baird I (1989) Using mathematical programming to address the multiple reserve selection problem: an example from the Eyre Peninsula, South Australia. Biol Conserv 49: 113-130.
6. Deng X, Huang J, Rozelle S, Uchida E (2008) Growth, population and industrialization, and urban land expansion of China. J Urban Econ 63: 96-115.
7. Diamond JM, Terborgh J, Whitcomb RF, Lynch JF, Opler PA, Robbins CS, Simberloff DS, Abele LG (1976) Island biogeography and conservation: strategy and limitations. Science 193(4257): 1027-1032.
8. Dorigo M (1992) Optimization, learning and natural algorithms. PhD Thesis, Politecnico di Milano, Dipartimento di Elettronica, Italy.
9. Dorigo M, Gambardella L (1997) Ant colony system: a cooperative learning approach to the travelingsalesman problem. IEEE Trans Evol Comput 1: 53-66.
10. Dorigo M, Maniezzo V, Colorni A (1996) Ant system: optimization by a colony of cooperating agents. IEEE Trans Syst Man Cybern 26: 29-41.
11. Eastman J, Jin W, Kyem P, Toledano J (1995) Raster procedures for multi-criteria/multi-objective decisions. Photogr Eng Remote Sens 61: 539-547.
12. Eastman J, Jiang H, Toledano J (1998) Multi-criteria and multi-objective decision making for land allocation using GIS. Multicriteria analysis for land-use management. Dordrecht, Kluwer Academic Publishers, pp 227-251.
13. Fahr J, Kalko EKV (2011) Biome transitions as centres of diversity: habitat heterogeneity and diversity patterns of West African bat assemblages across spatial scales. Ecography 34: 177-195.
14. Geneletti D, van Duren I (2008) Protected area zoning for conservation and use: a combination of spatial multicriteria and multiobjective evaluation. Landsc Urban Plan 85: 97-110.
15. Goetz SJ, Steinberg D, Dubayah R, Blair B (2007) Laser remote sensing of canopy habitat heterogeneity as a predictor of bird species richness in an eastern temperate forest, USA. Remote Sens Environ 108: 254-263.
16. Hof J, Joyce L (1993) A mixed integer linear programming approach for spatially optimizing wildlife and timber in managed forest ecosystems. For Sci 39: 816-834.
17. Holland JH (1975) Adaptation in natural and artificial systems: an introductory analysis with application to biology. In Control and artificial intelligence. University of Michigan Press, Ann Arbor.
18. Huete A (1988) A soil-adjusted vegetation index (SAVI). Remote Sens Environ 25: 295-309.
19. Kirkpatrick S, Gelatt CD, Vecchi MP (1983) Optimization by simulated annealing. Science 220(4598): 671-680.
20. Kuznets S (1966) Modern economic growth: rate, structure, and spread. Yale University Press, New Haven.
21. Li X, Liu XP (2008) Embedding sustainable development strategies in agent-based models for use as a planning tool. Int J Geogr Inf Sci 22: 21-45.
22. Li X, Yeh AGO (2001) Zoning land for agricultural protection by the integration of remote sensing, GIS, and cellular automata. Photogr Eng Remote Sens 67: 471-477.
23. Li X, He JQ, Liu XP (2009a) Ant intelligence for solving optimal path-covering problems with multi-objectives. Int J Geogr Inf Sci 23(7): 839-857.
24. Li X, He JQ, Liu XP (2009b) Intelligent GIS for solving high-dimensional site selection problems using ant colony optimization techniques. Int J Geogr Inf Sci 23: 399-416.
25. Liu XP, Li X, Peng XJ, Li H, He JQ (2008a) Swarm intelligence for classification of remote sensing data. Sc China Ser D 51: 79-87.
26. Liu XP, Li X, Liu L, He JQ, Ai B (2008b) A bottom-up approach to discover transition rules of cellular automata using ant intelligence. Int J Geogr Inf Sci 22: 1247-1269.
27. Liu XP, Li X, Liu L, He JQ, Ai B (2008c) An innovative method to classify remote-sensing images using ant colony optimization. IEEE Trans Geosci Remote Sens 46: 4198-4208.
28. Malczewski J (2006) GIS-based multicriteria decision analysis: a survey of the literature. Int J Geogr Inf Sci 20: 703-726.
29. McFeeters S (1996) The use of the normalized difference water index (NDWI) in the delineation of open water features. Int J Remote Sens 17: 1425-1432.
30. Mitchell M (1996) An introduction to genetic algorithms. MIT Press, Cambridge.
31. Morris MG (1991) The management of reserves and protected areas. In: Spellerberg IF, Goldsmith FB, Morris MG (eds) The scientific management of temperate communities for conservation: the 31st symposium of the British Ecological Society Southampton 1989. Blackwell, Boston, pp 232-247.
32. Murcia C (1995) Edge effects in fragmented forests: implications for conservation. Trends Ecol Evol 10: 58-62.
33. Önal H, Briers RA (2002) Incorporating spatial criteria in optimum reserve network selection. Proc R Soc Lond B 269: 2437-2441.
34. Possingham H, Ball I, Andelman S (2000) Mathematical methods for identifying representative reserve networks. In: Ferson S, Burgman M (eds) Quantitative methods for conservation biology. Springer-Verlag, New York, pp 291-306.
35. Reid T, Murphy D (1995) Providing a regional context for local conservation action. Bioscience 45: 84-90.
36. Sellers P (1985) Canopy reflectance, photosynthesis and transpiration. Int J Remote Sens 6: 1335-1372.
37. Seto K, Woodcock C, Song C, Huang X, Lu J, Kaufmann R (2002) Monitoring land-use change in the Pearl River Delta using Landsat TM. Int J Remote Sens 23: 1985-2004.
38. Snyder S, Haight R, ReVelle C (2005) A scenario optimization model for dynamic reserve site selection. Environ Model Assess 9: 179-187.
39. Steiner F, McSherry L, Cohen J (2000) Land suitability analysis for the upper Gila River watershed. Landsc Urban Plan 50(4): 199-214.
40. Svoray T, Bar P, Bannet T (2005) Urban land-use allocation in a Mediterranean ecotone: habitat heterogeneity model incorporated in a GIS using a multi-criteria mechanism. Landsc Urban Plan 72(4): 337-351.
41. Tucker C (1979) Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens Environ 8: 127-150.
42. Verdiell A, Sabatini M, Maciel M, Iglesias R (2005) A mathematical model for zoning of protected natural areas. Int Trans Oper Res 12: 203-213.
43. Xiao N, Bennett D, Armstrong M (2007) Interactive evolutionary approaches to multiobjective spatial decision making: a synthetic review. Comput Environ Urban Syst 31: 232-252.
44. Xu H (2006) Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. Int J Remote Sens 27: 3025-3033.
45. Yeh AGO, Li X (1997) An integrated remote sensing and GIS approach in the monitoring and evaluation of rapid urban growth for sustainable development in the Pearl River Delta, China. Int Plan Stud 2: 21-193.
46. Yeh AGO, Li X (1999) Economic development and agricultural land loss in the Pearl River Delta. China Habitat Int 23: 373-390.