The Generalized Difference Vegetation Index (GDVI) for dryland characterization

Remote Sensing

Volumn 6, Issue 2, 2014, Pages 1211-1233

  Wu, Weicheng ^a  

^a INTERNATIONAL CENTER FOR AGRICULTURAL RESEARCH IN THE DRY AREAS ICARDA   (Syrian Arab Republic)

Author keywords

Dryland environment; Dynamic range; GDVI; LAI; Land characterization; Sensitivity; Vegetation indices

Indexed keywords

EID: 84894638009     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs6021211     Document Type: Article

References (60)

1. Tucker, C.J. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens. Environ. 1979, 8, 127-150.
2. Vina, A.; Gitelson, A.A.; Nguy-Robertson, A.L.; Peng, Y. Comparison of different vegetation indices for the remote assessment of green leaf area index of crops. Remote Sens. Environ. 2011, 115, 3468-3478.
3. Jiang, Z.; Huete, A.R.; Didan, K.; Miura, T. Development of a two-band enhanced vegetation index without a blue band. Remote Sens. Environ. 2008, 112, 3833-3845.
4. Birth, G.S.; McVey, G.R. Measuring the color of growing turf with a reflectance spectrophotometer. Agron. J. 1968, 60, 640-643.
5. Jordan, C.F. Derivation of leaf-area index from quality of light on the forest floor. Ecology 1969, 50, 663-666.
6. Knipling, E.B. Physical and physiological bases for the reference of visible and near infrared radiation from vegetation. Remote Sens. Environ. 1970, 1, 155-159.
7. Rouse, J.W.; Haas, R.H.; Schell, J.A.; Deering, D.W. Monitoring Vegetation Systems in the Great plains with ERTS. In Proceedings of the 3rd ERTS-1 Symposium NASA SP-351, Washington, DC, USA, 10-14 December 1973; Volume 1, pp. 309-317.
8. Deering, D.W.; Rouse, J.W.; Haas, R.H.; Schel, J.A. Measuring Forage Production of Grazing Units from Landsat MSS Data. In Proceedings of the 10th International Symposium of Remote Sensing of Environment, Ann Arbor, MI, USA, 6-10 October 1975; Volume II, pp. 1169-1178.
9. Richardson, A.J.; Wiegand, C.L. Distinguishing vegetation from soil background information. Photogramm. Eng. Remote Sens. 1977, 43, 1541-1552.
10. Clevers, J.G.P.W. The derivation of a simplified reflectance model for the estimation of leaf area index. Remote Sens. Environ. 1988, 35, 53-70.
11. Clevers, J.G.P.W. Application of the WDVI in estimating LAI at the generative stage of barley. ISPRS J. Photogramm. Remote Sens. 1991, 46, 37-47.
12. Goel, N.S.; Qin, W. Influences of canopy architecture on relationships between various vegetation indices and LAI and FPAR: A computer simulation. Remote Sens. Rev. 1994, 10, 309-347.
13. Gitelson, A.A.; Kaufman, Y.J.; Stark, R.; Rundquist, D. Novel algorithms for remote estimation of vegetation fraction. Remote Sens. Environ. 2002, 80, 76-87.
14. Motohka, T.; Nasahara, K.N.; Oguma, H.; Tsuchida, S. Applicability of green-red vegetation index for remote sensing of vegetation phenology. Remote Sens. 2010, 2, 2369-2387.
15. Gitelson, A.A. Wide dynamic range vegetation index for remote quantification of crop biophysical characteristics. J. Plant Physiol. 2004,161, 165-173.
16. Pinty, B.; Verstraete, M.M. GEMI: A non-linear index to monitor global vegetation from satellites. Plant Ecol. 1992, 101, 15-20.
17. Huete, A.R. A soil adjusted vegetation index (SAVI). Remote Sens. Environ. 1988, 25, 295-309.
18. Baret, F.; Guyot, G.; Major, D. TSAVI: A Vegetation Index which Minimizes Soil Brightness Effects on LAI and APAR Estimation. In Proceedings of the 12th International Canadian Symposium Geoscience and Remote Sensing (IGARSS'89), Vancouver, BC, Canada, 10-14 July 1989; pp. 1355-1358.
19. Qi, J.; Chehbouni, A.; Huete, A.R.; Kerr, Y.H.; Sorooshian, S. A modified soil adjusted vegetation index. Remote Sens. Environ. 1994, 48, 119-126.
20. Rondeaux, G.; Steven, M.; Baret, F. Optimization of soil-adjusted vegetation index. Remote Sens. Environ. 1996, 55, 95-107.
21. Gilabert, M.A.; Gonzalez-Piqueras, J.; Garcia-Haro, F.J.; Melia, J. A generalized soil-adjusted vegetation index. Remote Sens. Environ. 2002, 82, 303-310.
22. Sripada, R.P.; Heiniger, R.W.; White, J.G.; Meijer, A.D. Aerial color infrared photography for determining early in-season nitrogen requirements in corn. Agron. J. 2006, 98, 968-977.
23. Gong, P.; Pu, R.; Biging, G.S.; Larrieu, M.R. Estimation of forest leaf area index using vegetation indices derived from Hyperion hyperspectral data. IEEE Trans. Geosci. Remote Sens. 2003, 41, 1355-1362.
24. Kaufman, Y.J.; Tanré, D. Atmospherically resistant vegetation index (ARVI) for EOS-MODIS. IEEE Trans. Geosci. Remote Sens. 1992, 30, 261-270.
25. Huete, A.R.; Liu, H.Q.; Batchily, K.; van Leeuwen, W. A comparison of vegetation indices global set of TM images for EOS-MODIS. Remote Sens. Environ. 1997, 59, 440-451.
26. Huete, A.; Didan, K.; Miura, T.; Rodriguez, E.P.; Gao, X.; Ferreira, L.G. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens. Environ. 2002, 83, 195-213.
27. Gitelson, A.; Kaufman, Y.; Merzlyak, M. Use of a green channel in remote sensing of global vegetation from EOS-MODIS. Remote Sens. Environ. 1996, 58, 289-298.
28. Kauth, R.J.; Thomas, G.S. The Tasseled Cap-A Graphical Description of the Spectral-Temporal Development of Agricultural Crops as Seen by Landsat. In Proceedings of the Symposium on Machine Processing of Remotely Sensed Data, Purdue University, West Lafayette, IN, USA, 29 June-1 July 1976; pp. 4B41-4B51.
29. Crist, E.P.; Cicone, R.C. Application of the tasseled cap concept to simulated thematic mapper data. Photogramm. Eng. Remote Sens. 1984, 50, 343-352.
30. Crist, E.P.; Cicone, R.C. A Physically-based transformation of thematic mapper data-The TM tasseled cap. IEEE Trans. Geosci. Remote Sens. 1984, 22, 256-263.
31. Huang, C.; Wylie, B.; Yang, L.; Homer, C.; Zylstra, G. Derivation of a tasseled cap transformation based on Landsat 7 at-satellite reflectance. Int. J. Remote Sens. 2002, 23, 1741-1748.
32. Baret, F.; Jacquemoud, S.; Hanocq, J.F. The soil line concept in remote sensing. Remote Sens. Rev. 1993, 7, 65-82.
33. United Nations (UN). Global Drylands: A UN System-Wide Response, 2011. Available online: http://www.unccd.int/Lists/SiteDocumentLibrary/Publications/Global_Drylands_Full_Report.pdf (accessed on 8 February 2012).
34. Courel, M.-F.; Kandel, R.S.; Rasool, S.I. Surface albedo and the Sahel drought. Nature 1984, 307, 528-531.
35. Otterman, J.; Tucker, C.J. Satellite measurements of surface albedo and temperatures in semi-desert. J. Appl. Meteorol. 1985, 24, 228-234.
36. Malo, A.R.; Nicholson, S.E. A study of rainfall and vegetation dynamics in the African Sahel using Normalized Difference Vegetation Index. J. Arid Environ. 1990, 19, 1-24.
37. Tucker, C.J.; Dregne, H.E.; Newcomb, W.W. Expansion and contraction of Sahara Desert from 1980 to 1990. Science 1991, 253, 299-301.
38. Evans, J.; Geerken, R. Discrimination between climate and human-induced dryland degradation. J. Arid Environ. 2004, 57, 535-554.
39. Herrmann, S.M.; Anyamba, A.; Tucker, C.J. Recent trends in vegetation dynamics in the African Sahel and their relationship to climate. Glob. Environ. Chang. 2005, 15, 394-404.
40. Wu, W.; de Pauw, E.; Zucca, C. Use remote sensing to assess impacts of land management policies in the Ordos rangelands in China. Int. J. Digit. Earth 2013, 6, 81-102.
41. Jackson, R.D.; Huete, A.R. Interpreting vegetation indices. Prev. Vet. Med. 1991, 11, 185-200.
42. Myneni, R.B.; Nemani, R.R.; Running, S.W. Estimation of global leaf area index and absorbed par using radiative transfer models. IEEE Trans. Geosci. Remote Sens. 1997, 35, 1380-1893.
43. Knyazikhin, Y.; Martonchik, J.V.; Myneni, R.B.; Diner, D.J.; Running, S.W. Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data. J. Geophys. Res. 1998, 103, 32257-32276.
44. Myneni, R.B.; Hoffman, S.; Knyazikhin, Y.; Privette, J.L.; Glassy, J.; Tian, Y.; Wang, Y.; Song, X.; Zhang, Y.; Smith, G.R.; et al. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sens. Environ. 2002, 83, 214-231.
45. Fang, H.; Liang, S. A hybrid inversion method for mapping leaf area index from MODIS data: Experiments and application to broadleaf and needle leaf canopies. Remote Sens. Environ. 2005, 94, 405-424.
46. Leuning, R.; Cleugh, H.A.; Zeglin, S.J.; Hughes, D. Carbon and water fluxes over a temperate Eucalyptus forest and tropical wet/dry savanna in Australia: Measurements and comparison with MODIS remote sensing estimates. Agric. For. Meteorol. 2005, 129, 151-173.
47. De Kauwe, M.G.; Disney, M.I.; Quaife, T.; Lewis, P.; Williams, M. An assessment of the MODIS collection 5 leaf area index product for a region of mixed coniferous forest. Remote Sens. Environ. 2011, 115, 767-780.
48. Richardson, A.J.; Wiegand, C.L.; Wanjura, D.F.; Dusek, D.; Steiner, J.L. Multisite analysis of spectral-biophysical data for sorghum. Remote Sens. Environ. 1992, 47, 71-82.
49. Carlson, T.N.; Ripley, D.A. On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sens. Environ. 1997, 62, 241-251.
50. Gutman, G.; Ignatov, A. The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models. Int. J. Remote Sens. 1998, 19, 1533-1543.
51. Jiménez-Muñoz, J.C.; Sobrino, J.A.; Plaza, A.; Guanter, L.; Moreno, J.; Martínez, P. Comparison between fractional vegetation cover retrievals from vegetation indices and spectral mixture analysis: Case study of PROBA/CHRIS data over an agricultural area. Sensors 2009, 9, 768-793.
52. Zhang, X.; Liao, C.; Li, J.; Sun, Q. Fractional vegetation cover estimation in arid and semi-arid environments using HJ-1 satellite hyperspectral data. Int. J. Appl. Earth Obs. Geoinf. 2012, doi:10.1016/j.jag.2012.07.003.
53. Kallel, A.; le Hégarat-Mascle, S.; Ottlé, C.; Hubert-Moy, L. Determination of vegetation cover fraction by inversion of a four-parameter model based on isoline parametrization. Remote Sens. Environ. 2007, 111, 553-566.
54. Sirikul, N. Comparison of MODIS Vegetation Index Products with Biophysical and Flux Tower Measurements. Ph.D. Dissertation, University of Arizona, Tucson, AZ, USA, 2006; p. 197.
55. Matthew, M.W.; Adler-Golden, S.M.; Berk, A.; Richtsmeier, S.C.; Levine, R.Y.; Bernstein, L.S.; Acharya, P.K.; Anderson, G.P.; Felde, G.W.; Hoke, M.P.; et al. Status of atmospheric correction using a MODTRAN4-based algorithm. Proc. SPIE 2000, 4049, 199-207.
56. Perkins, T.; Adler-Golden, S.; Matthew, M.; Berk, A.; Anderson, G.; Gardner, J.; Felde, G. Retrieval of Atmospheric Properties from Hyper and Multispectral Imagery with the FLAASH Atmospheric Correction Algorithm. Proc. SPIE 2005, 5979, doi: 10.1117/12.626526.
57. Wu, W.; de Pauw, E.; Hellden, U. Assessing woody biomass in African tropical savannas by multiscale remote sensing. Int. J. Remote Sens. 2013, 34, 4525-4549.
58. Price, J.C.; Bausch, W.C. Leaf area index estimation from visible and near-infrared reflectance data. Remote Sens. Environ. 1995, 52, 55-65.
59. Gitelson, A.A.; Wardlow, B.D.; Keydan, G.P.; Leavitt, B. An evaluation of MODIS 250-m data for green LAI estimation in crops. Geophys. Res. Lett. 2007, 34, L20403.
60. Wang, Q.; Adiku, S.; Tenhunen, J.; Granier, A. On the relationship of NDVI with leaf area index in a deciduous forest site. Remote Sens. Environ. 2005, 94, 244-255.