Detecting soil salinity with MODIS time series VI data

Ecological Indicators

Volumn 52, Issue , 2015, Pages 480-489

  Zhang, Ting Ting ^a   Qi, Jia Guo ^b   Gao, Yu ^a   Ouyang, Zu Tao ^b   Zeng, Sheng Lan ^c   Zhao, Bin ^d  

^a SOUTH CHINA SEA FISHERIES RESEARCH INSTITUTE   (China)

^b MICHIGAN STATE UNIVERSITY   (United States)

^c CHENGDU UNIVERSITY OF INFORMATION TECHNOLOGY   (China)

^d FUDAN UNIVERSITY   (China)

Author keywords

MODIS time series data; Phenological metrics; Seasonal integral vegetation index; The Yellow River Delta; Vegetation heterogeneity

Indexed keywords

BIOLOGY; FORESTRY; IMAGE RECONSTRUCTION; LINEAR REGRESSION; REGRESSION ANALYSIS; SATELLITE IMAGERY; SOILS; TIME SERIES; VEGETATION;

CLASSIFICATION ACCURACY; ENHANCED VEGETATION INDEX; LINEAR REGRESSION MODELS; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; MODIS TIME SERIES; PHENOLOGICAL METRICS; VEGETATION INDEX; YELLOW RIVER DELTA;

RADIOMETERS;

DATA SET; HETEROGENEITY; MODIS; PHENOLOGY; PIXEL; SALINITY; SALINIZATION; SPATIAL RESOLUTION; TIME SERIES; VEGETATION INDEX;

CHINA; SHANDONG; YELLOW RIVER DELTA;

EID: 84921667110     PISSN: 1470160X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolind.2015.01.004     Document Type: Article

References (43)

1. H.A. Abulfatih, E.M. Abdel Bari, A. Alsubaey, and Y.M. Ibrahim Halophytes and soil salinity in Qatar Qatar Univ. Sci. J. 22 2002 119 135
2. A. Allbed, and L. Kumar Soil salinity mapping and monitoring in arid and semi-arid regions using remote sensing technology: a review Adv. Remote Sens. 2013 2013 373 385
3. J. Chang, M.C. Hansen, K. Pittman, M. Carroll, and C. DiMiceli Corn and soybean mapping in the United States using MODIS time-series data sets Agron. J. 99 2007 1654 1664
4. J. Chen, P. Jonsson, M. Tamura, Z.H. Gu, B. Matsushita, and L. Eklundh A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter Remote Sens. Environ. 91 2004 332 344
5. R.L. Dehaan, and G.R. Taylor Field-derived spectra of salinized soils and vegetation as indicators of irrigation-induced soil salinization Remote Sens. Environ. 80 2002 406 417
6. A.E.K. Douaoui, H. Nicolas, and C. Walter Detecting salinity hazards within a semiarid context by means of combining soil and remote-sensing data Geoderma 134 2006 217 230
7. N. Fernandez-Buces, C. Siebe, S. Cram, and J.L. Palacio Mapping soil salinity using a combined spectral response index for bare soil and vegetation: a case study in the former lake Texcoco, Mexico J. Arid. Environ. 65 2006 644 667
8. F. Ghassemi, A.J. Jakeman, and H.A. Nix Salinization of Land and Water Resources: Human Causes, Extent, Management and Case Studies 1995 The Australian National University/CAB International Canberra, Australia/Wallingford, Oxon, UK
9. J.F. Hermance, R.W. Jacob, B.A. Bradley, and J.F. Mustard Extracting phenological signals from multiyear AVHRR NDVI time series: framework for applying high-order annual splines with roughness damping IEEE T. Geosci. Remote 45 2007 3264 3276
10. D. Hillel Salinity Management for Sustainable Irrigation 2000 The World Bank Washington, D.C.
11. G. Hmimina, E. Dufrene, J.Y. Pontailler, N. Delpierre, M. Aubinet, B. Caquet, A. de Grandcourt, B. Burban, C. Flechard, A. Granier, P. Gross, B. Heinesch, B. Longdoz, C. Moureaux, J.M. Ourcival, S. Rambal, L. Saint Andre, and K. Soudani Evaluation of the potential of MODIS satellite data to predict vegetation phenology in different biomes: an investigation using ground-based NDVI measurements Remote Sens. Environ. 132 2013 145 158
12. A. Huete, K. Didan, T. Miura, E.P. Rodriguez, X. Gao, and L.G. Ferreira Overview of the radiometric and biophysical performance of the MODIS vegetation indices Remote Sens. Environ. 83 2002 195 213
13. A. Huete, C. Justice, and H. Liu Development of vegetation and soil indexes for MODIS-EOS Remote Sens. Environ. 49 1994 224 234
14. A.R. Huete, H.Q. Liu, K. Batchily, and W. vanLeeuwen A comparison of vegetation indices global set of TM images for EOS-MODIS Remote Sens. Environ. 59 1997 440 451
15. P. Jonsson, and L. Eklundh Seasonality extraction by function fitting to time-series of satellite sensor data IEEE T. Geosci. Remote 40 2002 1824 1832
16. P. Jonsson, and L. Eklundh TIMESAT - a program for analyzing time-series of satellite sensor data Comput. Geosci. 30 2004 833 845
17. J.S. Kimball, K.C. McDonald, S.W. Running, and S.E. Frolking Satellite radar remote sensing of seasonal growing seasons for boreal and subalpine evergreen forests Remote Sens. Environ. 90 2004 243 258
18. A. Läuchli, and U. Lüttge Introduction to Salinity: Environment - Plants - Molecules 2002 Kluwer Academic Publishers Dordrecht, Boston, London
19. D.B. Lobell, S.M. Lesch, D.L. Corwin, M.G. Ulmer, K.A. Anderson, D.J. Potts, J.A. Doolittle, M.R. Matos, and M.J. Baltes Regional-scale assessment of soil salinity in the Red River Valley using multi-year MODIS EVI and NDVI J. Environ. Qual. 39 2010 35 41
20. R.S. Lunetta, J.F. Knight, J. Ediriwickrema, J.G. Lyon, and L.D. Worthy Land-cover change detection using multi-temporal MODIS NDVI data Remote Sens. Environ. 105 2006 142 154
21. F. Lupo, M. Linderman, V. Vanacker, E. Bartholome, and E.F. Lambin Categorization of land-cover change processes based on phenological indicators extracted from time series of vegetation index data Int. J. Remote Sens. 28 2007 2469 2483
22. G.I. Metternicht Detecting and Monitoring Land Degradation Features and Processes in the Cochabamba valleys, Bolivia: A Synergistic Approach 1996 ITC Publication Enschede, The Netherlands
23. G.I. Metternicht, and J.A. Zinck Remote sensing of soil salinity: potentials and constraints Remote Sens. Environ. 85 2003 1 20
24. B. Mougenot, M. Pouget, and G. Epema Remote sensing of salt affected soils Remote Sens. Rev. 7 1993 241 259
25. D.L. Peng, J.F. Huang, C.J. Li, L.Y. Liu, W.J. Huang, F.M. Wang, and X.H. Yang Modelling paddy rice yield using MODIS data Agr. Forest Meteorol. 184 2014 107 116
26. B.C. Reed, J.F. Brown, D. Vanderzee, T.R. Loveland, J.W. Merchant, and D.O. Ohlen Measuring phenological variability from satellite imagery J. Veg. Sci. 5 1994 703 714
27. G.J. Roerink, M. Menenti, and W. Verhoef Reconstructing cloud free NDVI composites using Fourier analysis of time series Int. J. Remote Sens. 21 2000 1911 1917
28. T. Sakamoto, M. Yokozawa, H. Toritani, M. Shibayama, N. Ishitsuka, and H. Ohno A crop phenology detection method using time-series MODIS data Remote Sens. Environ. 96 2005 366 374
29. S.R.F. Shamsi, S. Zare, and S.A. Abtahi Soil salinity characteristics using moderate resolution imaging spectroradiometer (MODIS) images and statistical analysis Arch. Agron. Soil Sci. 59 2013 471 489
30. C.X. Shi, and D. Zhang Processes and mechanisms of dynamic channel adjustment to delta progradation: the case of the mouth channel of the Yellow River, China Earth Surf. Process. Landf. 28 2003 609 624
31. B. Spies, and P. Woodgate Salinity Mapping Methods in the Australian Context. Prepared for the Natural Resource Management Ministerial Council Department of the Environment and Heritage and Department of Agriculture 2005 Fisheries and Forestry Australia
32. SPSS SPSS for Windows Release 17.0 Standard Version 1999 Chicago, IL
33. X.G. Tang, X. Wang, Z.M. Wang, D.W. Liu, M.M. Jia, Z.Y. Dong, J. Xie, Z. Ding, H.R. Wang, and X.P. Liu Influence of vegetation phenology on modelling carbon fluxes in temperate deciduous forest by exclusive use of MODIS time-series data Int. J. Remote Sens. 34 2013 8373 8392
34. A. Thorhaug, A.D. Richardson, and G.P. Berlyn Spectral reflectance of Thalassia testudinum (Hydrocharitaceae) seagrass: low salinity effects Am. J. Bot. 93 2006 110 117
35. D.R. Tilley, M. Ahmed, J.H. Son, and H. Badrinarayanan Hyperspectral reflectance response of freshwater macrophytes to salinity in a brackish subtropical marsh J. Environ. Qual. 36 2007 780 789
36. B.D. Wardlow, and S.L. Egbert Large-area crop mapping using time-series MODIS 250 m NDVI data: an assessment for the US Central Great Plains Remote Sens. Environ. 112 2008 1096 1116
37. C.L. Wiegand, J.D. Rhoades, D.E. Escobar, and J.H. Everitt Photographic and videographic observations for determining and mapping the response of cotton to soil-salinity Remote Sens. Environ. 49 1994 212 223
38. X.M. Xiao, S. Boles, J.Y. Liu, D.F. Zhuang, S. Frolking, C.S. Li, W. Salas, and B. Moore Mapping paddy rice agriculture in southern China using multi-temporal MODIS images Remote Sens. Environ. 95 2005 480 492
39. D.D. Xu, and X.L. Guo A study of soil line simulation from Landsat images in mixed grassland Remote Sens. 5 2013 4533 4550
40. T.T. Zhang, S.L. Zeng, Y. Gao, Z.T. Ouyang, B. Li, C.M. Fang, and B. Zhao Assessing impact of land uses on land salinization in the Yellow River Delta, China using an integrated and spatial statistical model Land Use Policy 28 2011 857 866
41. T.T. Zhang, S.L. Zeng, Y. Gao, Z.T. Ouyang, B. Li, C.M. Fang, and B. Zhao Using hyperspectral vegetation indices as a proxy to monitor soil salinity Ecol. Indic. 11 2011 1552 1562
42. Y. Zhao, and C. Song The Yellow River Delta National Nature Reserve 1995 Forestry Publishing House Beijing, China
43. W.Z. Zhou, Y.Z. Tian, and L.F. Zhu Land use/land cover change in Yellow River Delta, China during fast development period Conference on Remote Sensing and Modelling of Ecosystems for Sustainability IV San Antonio, CA 2007 I6791