Assessing regional environmental quality by integrated use of remote sensing, GIS, and spatial multi-criteria evaluation for prioritization of environmental restoration

Environmental Monitoring and Assessment

Volumn 186, Issue 11, 2014, Pages 6993-7009

  Rahman, Md Rejaur ^a,b   Shi, Z H ^a   Chongfa, Cai ^a,b  

^a HUAZHONG AGRICULTURAL UNIVERSITY   (China)

^b UNIVERSITY OF RAJSHAHI   (Bangladesh)

Author keywords

Environmental restoration; Geographical information system (GIS); Regional environmental quality; Remote sensing (RS); Spatial multi criteria analysis

Indexed keywords

DECISION MAKING; DECISION THEORY; ENVIRONMENTAL PROTECTION; INFORMATION SYSTEMS; INFORMATION USE; OPERATIONS RESEARCH; QUALITY CONTROL; REMOTE SENSING; RESTORATION; SUSTAINABLE DEVELOPMENT; TOPOGRAPHY;

ANALYTICAL HIERARCHY PROCESS; ENVIRONMENTAL QUALITY; ENVIRONMENTAL QUALITY INDICES; ENVIRONMENTAL RESTORATION; MULTI CRITERIA ANALYSIS; MULTI-CRITERIA EVALUATION; MULTIPLE CRITERIA DECISION ANALYSIS; PROTECTION OF THE ENVIRONMENTS;

GEOGRAPHIC INFORMATION SYSTEMS;

DECISION MAKING; ENVIRONMENTAL MANAGEMENT; ENVIRONMENTAL PROTECTION; ENVIRONMENTAL RESTORATION; GIS; MULTICRITERIA ANALYSIS; REMOTE SENSING; SATELLITE DATA; SPATIAL VARIATION; SUSTAINABILITY;

ANALYTIC METHOD; ARTICLE; CLIMATE; COMPUTER SYSTEM; DECISION SUPPORT SYSTEM; ECOSYSTEM RESTORATION; ENVIRONMENTAL IMPACT ASSESSMENT; ENVIRONMENTAL MONITORING; ENVIRONMENTAL PARAMETERS; ENVIRONMENTAL SUSTAINABILITY; GEOGRAPHIC INFORMATION SYSTEM; HUMAN IMPACT (ENVIRONMENT); QUALITY CONTROL; REGIONAL ENVIRONMENTAL QUALITY INDEX; REMOTE SENSING; SOIL EROSION; SOIL QUALITY; SPATIAL MULTICRITERIA EVALUATION; TOPOGRAPHY; VALIDATION PROCESS; VEGETATION; ENVIRONMENT; HUMAN; PROCEDURES;

DECISION SUPPORT TECHNIQUES; ENVIRONMENT; ENVIRONMENTAL MONITORING; ENVIRONMENTAL RESTORATION AND REMEDIATION; GEOGRAPHIC INFORMATION SYSTEMS; HUMANS; REMOTE SENSING TECHNOLOGY;

EID: 84910008755     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-014-3905-4     Document Type: Article

References (52)

1. Adriaenssens, V., & Baets, B. D. (2004). Fuzzy rule-based models for decision support in ecosystem management. Science of the Total Environment, 319, 1–12.
2. Andes, I. (2013). Idrisi GIS and image processing software, Andes version. Worcester, MA, USA: Clark Labs Clark University, 950 Main Street.
3. Antonio, G. S., Juan-Alfonso, B., & Jose-Manuel, N. (2003). Assessing landscape values: a proposal for a multidimensional conceptual model. Ecological Modelling, 168, 319–341.
4. Basso, F., Bove, E., Dumontet, S., Ferrara, A., Pisante, M., Quaranta, G., & Taberner, M. (2000). Evaluating environmental sensitivity at the basin scale through the use of geographic information systems and remotely sensed data: an example covering the Agri basin (Southern Italy). Catena, 40, 19–35.
5. Boyle, S. J., Tsanis, I. K., & Kanaroglou, P. S. (1998). Developing geographic information systems for land use impact assessment in flooding condition. Journal of Water Resources Planing and Management, 124(2), 89–98.
6. Burrough, P.A. & McDonnell, R. (1998). Principles of geographical system. Oxford Univ. press, 333
7. Carpenter, G. A., Grossberg, S., & Reynolds, J. H. (1991). ARTMAP: Supervised real time learning and classification of nonstationary data by a self-organizing neural network. Neural Networks, 4, 565–588.
8. Castoldi, N., Stein, A., & Bechini, L. (2009). Agri-environmental assessment of extractable soil phosphorus at the regional scale. NJAS - Wageningen Journal of Life Sciences, 56(4), 325–343.
9. Chavez, P. S. (1996). Image-based atmospheric correction-revisited and improved. Photogrammetric Engineering and Remote Sensing, 62(9), 1025–1036.
10. Clark Labs (2006). IDRISI Andes. Clark University, 950 Main Street, Worcester MA 01610–1477, USA
11. Dzeroski, S. (2001). Applications of symbolic machine learning to ecological. Ecological Modelling, 146, 263–273.
12. Enea, M., & Salemi, G. (2001). Fuzzy approach to the environmental impact evaluation. Ecological Modelling, 135, 131–147.
13. Goda, T., & Matsuoka, Y. (1986). Synthesis and analysis of a comprehensive lake model with the evaluation of diversity of ecosystem. Ecological Modelling, 31, 11–32.
14. Hao, Y., & Zhou, H. C. H. (2002). A grey assessment model of regional eco-environment quality and its application. Journal of Environmental Engineering, 20, 66–68.
15. He, L., Chan, C. W., & Huang, G. H. (2006). PDSS: a probabilistic reasoning-based decision support system for selecting remediation technologies for petroleum-contaminated sites. Expert Systems with Application, 30(4), 783–795.
16. Herwijnen, M. V. (1999). Spatial decision support for environmental management. Faculty of economical sciences and econometrics. Amsterdam: Free University of Amsterdam.
17. ILWIS, 3.3 (2005). The integrated land and water information system. ITC, Enschede, http://www.itc.nl/ilwis/S
18. Janssen, R. & Herwijnen, M.V. (1994). Multi-objective decision support for environmental management+DEFINITE Decisions on an FINITE set of alternatives: demonstration disks and instruction. Dordrecht (Netherlands): Kluwer Academic Publishers, 232
19. Kangas, J., Store, R., & Leskinen, P. (2000). Improving the quality of landscape ecological forest planning by utilizing advanced decision-support tools. Forest Ecology and Management, 132, 157–171.
20. Li, X. L., Min, M., & Tan, C. F. (2005). The functional assessment of agriculture ecosystems in Hubei Province, China. Ecological Modeling, 187, 352–360.
21. Li, A., Wang, A., Liang, S., & Zhou, W. (2006). Eco-environmental vulnerability evaluation in mountainous region using remote sensing and GIS—a case study in the upper reaches of Minjiang River. China. Ecological Modeling, 192(1–2), 175–187.
22. Li, Z. W., Zeng, G. M., & Zhang, H. (2007). The integrated eco-environment assessment of the red soil hilly region based on GIS-a case study in Changsha City, China. Ecological Modeling, 202(3–4), 540–546.
23. Lillesand, T. M., & Kiefer, R. W. (2002). Remote sensingand image interpretation. New York: Wiley.
24. Luzi, L., Pergalani, F., & Terlien, M. T. J. (2000). Slope vulnerability to earthquakes at subregional scale, using probabilistic techniques and geographic information systems. Engineering Geology, 58, 313–336.
25. MacMillan, R. A., Jones, R. K., & McNabb, D. H. (2004). Defining a hierarchy of spatial entities for environmental analysis and modeling using digital elevation models (DEMs). Computers, Environment and Urban Systems, 28, 175–200.
26. Malczewski, J. (1999). GIS and multi-criteria decision analysis. New York: Wiley.
27. Mannan, B., Roy, J., & Ray, A. K. (1998). Fuzzy ARTMAP supervised classification of multi-spectral remotely-sensed images. International Journal of Remote Sensing, 19, 767–774.
28. McCool, D. K., Brown, L. C., & Foster, G. R. (1987). Revised slope steepness factor for the universal soil loss equation. Transactions of ASAE, 30, 1387–1396.
29. Mysiak, J., Giupponi, C., & Rosato, P. (2005). Towards the development of a decision support system for water resource management. Environmental Modeling and Software, 20, 203–214.
30. Park, Y. S., Chon, T. S., & Kwak, I. S. (2004). Hierarchical community classification and assessment of aquatic ecosystems using artificial neural networks. Science of the Total Environment, 327, 105–122.
31. Paudyal, G.N. (1996). An integrated GIS-numerical modelling system for advanced flood management. In Proc. Int. Conf. on Water Resources & Environment Research: Towards the 21st Century, Water Resources Research Center, Kyoto Univ., Kyoto, Japan, 555–562
32. Rahman, M. R., & Saha, S. K. (2007). Flood hazard zonation-a GIS aided multicriteria evaluation approach (MCE) with remotely sensed data. International Journal of Geoinformatics, 3(3), 25–3.
33. Rahman, M.R. & Saha, S.K. (2008). Remote sensing, spatial multi-criteria evaluation (SMCE) and analytical hierarchy process (AHP) in Optimal cropping pattern planning for a flood prone area, Journal of Spatial Science, Vol. 53, No. 2
34. Rahman, M.R., Z.H. Shi & Chongfa, C. (2009). Soil erosion hazard evaluation—an integrated use of remote sensing, GIS and statistical approaches with biophysical parameters towards management strategies, Ecological Modelling, 220 (13–14), 1724–1734.
35. Rahman, M. R., Islam, A. H. M. H., & Rahman, M. A. (2004). NDVI derived sugarcane area identification and crop condition assessment. Planplus, 1(2), 1–12.
36. Renard, K. G., & Freimund, J. R. (1994). Using monthly precipitation data to estimate the R factor in the revised USLE. Journal o. Hydrology, 157, 284–306.
37. Renard, K.G., Foster, G.R., Weesies, G.A., McCool, D.K. & Yoder, D.C. (1997). Predicting soil erosion by water: a guide to conservation planning with the revised universal soil loss equation (RUSLE). Agriculture Handbook. 703, Washington: USDA
38. Rietveld, P. (1980). Multiple objective decision methods and regional planning. New York: North-Holland Pub. Co.
39. Rinner, C., & Malczewski, J. (2002). Web-enabled spatial decision analysis using ordered weighted averaging. Journal of Geographical Systems, 4(4), 385–403.
40. Saaty, T. L. (2001). Decision making with dependence and feedback: the analytic network process. Pittsburgh: RWS Publisher.
41. Satty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15, 234–281.
42. Sharifi, M.A. & Herwijnen, M.V. (2003). Spatial decision support system: theory and practice, ITC Lecture Series
43. Sharifi, M.A., Herwijnen, M. & van den Toorn, W. (2006.). Spatial decision support systems: theory and practice. ISPRS, WG II/IV.
44. Sharifi, M. A., van den Toorn, W., Rico, A., & Emmanuel, M. (2002). Application of GIS and multicriteria evaluation in locating sustainable boundary between the Tunari National Park and Cochabamba City (Bolivia). Journal of Multi-Criteria Decision Analysis, 11, 151–164.
45. Williams, J. R., & Renard, K. G. (1983). A new method for assessing erosion’s effects on soil productivity. Journal of Soil and Water Conservation, 38, 381–383.
46. Xiong, Y., Zeng, G., & Lv, H. H. (2007). Synthetic assessment of the eco-environment of Hunan province based on multi-source spatial information. Journal of Hunan University (Natural Sciences), 34(10), 86–89.
47. Xue, W., Liu, Z., & Sun, Y. (2003). Application of osculation value method in assessment of environmental quality of surface water. Journal of Environmental Engineering, 21, 67–70 (in Chinese).
48. Yang, J., Zhang, J. C., & Zhuang, J. Y. (2012). Multi-resources data based environment assessment of the grand canal in Beijing with CEAI model. Procedia Environmental Sciences, 13, 660–669.
49. Ying, X., Ming, Z. G., Qiu, C. G., Lin, T., Lin, W. K., & You, H. D. (2007). Combining AHP with GIS in synthetic evaluation of eco-environment quality—a case study of Hunan Province, China. Ecological Modeling, 209, 97–109.
50. Yuan, W. S., Shi, L. J., & Jian, Y. C. (2008). Eco-environmental vulnerability evaluation in the Yellow river basin, China. Pedosphere, 18(2), 171–182.
51. Zeng, G. M., Jiang, R., & Huang, G. H. (2007). Optimization of wastewater treatment alternatives selection by hierarchy grey relational analysis. Journal of Environmental Management, 82, 250–259.
52. Zucca, A., Sharifi, A. M., & Fabbri, A. G. (2008). Application of spatial multi-criteria analysis to site selection for a local park: a case study in the Bergamo Province, Italy. Journal of Environmental Management, 88(4), 752–769.