Erratum to: Multi-temporal landsat images based on eco-environmental change analysis in and around Chah Nimeh reservoir, Sistan and Balochestan (Iran) (Environ Earth Sci, 10.1007/s12665-013-3004-9);Multi-temporal landsat images based on eco-environmental change analysis in and around Chah Nimeh reservoir, Balochestan (Iran)

Environmental Earth Sciences

Volumn 72, Issue 3, 2014, Pages 801-809

  Amiri, Fazel ^a   Rahdari, Vahid ^b   maleki najafabadi, Saeideh ^b   Pradhan, Biswajeet ^c   Tabatabaei, Tayebeh ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b UNIVERSITY OF ZABOL   (Iran)

^c UNIVERSITY PUTRA MALAYSIA   (Malaysia)

Author keywords

Land use cover change (LUCC) detection; Multi temporal satellite data; Post classification comparison (PCC); Quantity and allocation disagreements

Indexed keywords

BIRDS; DIGITAL STORAGE; DROUGHT; LAND USE; VEGETATION;

CHAH NIMEH RESERVOIRS; DETECTION OF CHANGES; ECO-ENVIRONMENTAL; LAND USE/COVER CHANGE; OVERALL ACCURACIES; POST-CLASSIFICATION COMPARISONS; QUANTITY AND ALLOCATION DISAGREEMENTS; SATELLITE DATA;

RESERVOIRS (WATER);

BIRD; DROUGHT; HABITAT SELECTION; LAND COVER; LANDSAT; SATELLITE IMAGERY; TIME SERIES; WATER STORAGE;

BALUCHISTAN; IRAN; PAKISTAN;

AVES;

EID: 84904401661     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-014-3089-9     Document Type: Erratum

References (26)

1. Abdel Kawy WAM, Abou El-Magd IH (2012) Use of satellite data and GIS for assessing the agricultural potentiality of the soils South Farafra Oasis, Western Desert, Egypt. Arab J Geosci. doi: 10. 1007/s12517-012-0518-5.
2. Aldwaik SZ, Pontius RG (2012) Intensity analysis to unify measurements of size and stationarity of land changes by interval, category, and transition. Landsc Urban Plan 106(1): 103-114. doi: 10. 1016/j. landurbplan. 2012. 02. 010.
3. Alo CA, Pontius RG (2008) Identifying systematic land-cover transitions using remote sensing and GIS: the fate of forests inside and outside protected areas of Southwestern Ghana. Environ Plan B 35(2): 280-295. doi: 10. 1068/b32091.
4. Amiri F, Shariff MAR (2012) Spatial change detector (SCD v. 10). Published source: University Putra Malaysia. (CopyRight No. B197).
5. Chuanga WC, Lina CY, Chiena CH, Choub WC (2011) Application of Markov-chain model for vegetation restoration assessment at landslide areas caused by a catastrophic earthquake in Central Taiwan. Ecol Model 222(3): 835-845. doi: 10. 1016/j. ecolmodel. 2010. 11. 007.
6. Eastman JR, Solorzano LA, van Fossen ME (2005) Transition potential modeling for land-cover change. In: Maguire DJ, Batty M, Goodchild MF (eds) GIS, spatial analysis, and modeling. ESRI Press, California, pp 357-385.
7. Huete AR (1988) A soil-adjusted vegetation index (SAVI). Remote Sens Environ 25(3): 295-309. doi: 10. 1016/0034-4257(88)90106-X.
8. Huete A, Justice C, Liu H (1994) Development of vegetation and soil indices for MODIS-EOS. Remote Sens Environ 49(3): 224-234. doi: 10. 1016/0034-4257(94)90018-3.
9. Jiang Y, Li L, Groves C, Yuan D, Kambesis P (2009) Relationships between rocky desertification and spatial pattern of land use in typical karst area, Southwest China. Environ Earth Sci 59(4): 881-890. doi: 10. 1007/s12665-009-0083-8.
10. Liu D, Hao S, Liu X, Li B, He S, Warrington D (2013) Effects of land use classification on landscape metrics based on remote sensing and GIS. Environ Earth Sci 68(8): 2229-2237. doi: 10. 1007/s12665-012-1905-7.
11. Lo CP, Fung T (1986) Production of land use and land cover maps of central Guandong Province of China from Landsat MSS imagery. Int J Remote Sens 7(8): 1051-1074. doi: 10. 1080/01431168608948908.
12. Longley PA (2002) Geography: will development in urban remote sensing and GIS lead to better urban geography? Prog Hum Geogr 26(2): 231-239. doi: 10. 1191/0309132502ph366pr.
13. Luna AR, Cesar AR (2003) Land use, land cover changes and costal lagoon surface reduction associated with urban growth in northwest Mexico. Landsc Ecol 18(2): 159-171. doi: 10. 1023/A: 1024461215456.
14. Marsik M, Stevens RF, Southworth J (2011) Amazon deforestation: Rates and patterns of land cover change and fragmentation in Pando, Northern Bolivia, 1986 to 2005. Prog Phys Geog 35(3): 353-374. doi: 10. 1177/0309133311399492.
15. Mohamed ES, Belal A, Saleh A (2012) Assessment of land degradation east of the Nile Delta, Egypt using remote sensing and GIS techniques. Arab J Geosci. doi: 10. 1007/s12517-012-0553-2.
16. Pontius RG (2011) PontiusMatrix21. xlsx (Workbook). www. clarku. edu/~rpontius. Accessed 29 Oct 2011.
17. Pontius RG, Millones M (2011) Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment. Int J Remote Sens 32(15): 4407-4429. doi: 10. 1080/01431161. 2011. 552923.
18. Pontius RG, Huffaker D, Denman K (2004) Useful techniques of validation for spatially explicit land-change models. Ecol Model 179(4): 445-461. doi: 10. 1016/j. ecolmodel. 2004. 05. 010.
19. Qi J, Chehbouni A, Huete AR (1994) A modified soil adjusted vegetation index. Remote Sens Environ 48(2): 119-126. doi: 10. 1016/0034-4257(94)90134-1.
20. Serra P, Pons X, Saurí D (2008) Land-cover and land-use change in a Mediterranean landscape: a spatial analysis of driving forces integrating biophysical and human factors. Appl Geogr 28(3): 189-209. doi: 10. 1016/j. apgeog. 2008. 02. 001.
21. Shalaby A, Tateishy R (2007) Remote sensing and GIS for mapping and monitoring land cover and land use changes in the Northwestern coastal zone of Egypt. Appl Geogr 27(1): 28-41. doi: 10. 1016/j. apgeog. 2006. 09. 004.
22. Tan KC, San Lim H, MatJafri MZ, Abdullah K (2010) Landsat data to evaluate urban expansion and determine land use/land cover changes in Penang Island, Malaysia. Environ Earth Sci 60(7): 1509-1521. doi: 10. 1007/s12665-009-0286-z.
23. Yang X, Lo CP (2002) Using a time series of satellite imagery to detect land use and land cover changes in the Atlanta, Georgia metropolitan area. Int J Remote Sens 23(9): 1775-1798. doi: 10. 1080/01431160110075802.
24. Yeganeh H, Khajedein SJ, Amiri F, Mohamed Shariff AR (2012) Monitoring rangeland ground cover vegetation using multi temporal MODIS data. Arab J Geosci. doi: 10. 1007/s12517-012-0733-0.
25. Yuan F, Sawaya KE, Loeffelholz BC, Bauer ME (2005) Land cover classification and change analysis of the twin Cities (Minnesota) metropolitan area by multitemporal Landsat remote sensing. Remote Sens Environ 98: 317-328. doi: 10. 1016/j. rse. 2005. 08. 006.
26. Zhang H, Lan Y, Lacey R, Hoffmann WC, Huang Y (2009) Analysis of vegetation indices derived from aerial multispectral and ground hyperspectral data. Int J Agric Biol Eng 2(3): 33-40.