Derivation of a MODIS-compatible enhanced vegetation index from visible infrared imaging radiometer suite spectral reflectances using vegetation isoline equations

Journal of Applied Remote Sensing

Volumn 7, Issue 1, 2013, Pages

  Obata, Kenta ^a   Miura, Tomoaki ^a   Yoshioka, Hiroki ^b   Huete, Alfredo R ^c  

^a UNIVERSITY OF HAWAII   (United States)

^b AICHI PREFECTURAL UNIVERSITY   (Japan)

^c UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

data continuity; enhanced vegetation index; moderate resolution imaging spectroradiometer; vegetation isoline equations.; visible infrared imaging radiometer suite

Indexed keywords

IMAGE ENHANCEMENT; MEAN SQUARE ERROR; REFLECTION; SPECTROMETERS; THERMOGRAPHY (IMAGING); VEGETATION;

DATA CONTINUITY; ENHANCED VEGETATION INDEX; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; VEGETATION ISOLINE; VISIBLE INFRARED IMAGING RADIOMETER SUITES;

RADIOMETERS;

EID: 84890591590     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.JRS.7.073467     Document Type: Article

References (52)

1. E. P. Glenn et al., "Relationship between remotely-sensed vegetation indices, canopy attributes and plant physiological processes: what vegetation indices can and cannot tell us about the landscape," Sensors 8(4), 2136-2160 (2008), http://dx.doi.org/10.3390/s8042136.
2. L. Bounoua et al., "Sensitivity of climate to changes in NDVI," J. Climate 13(13), 2277-2292 (2000), http://dx.doi.org/10.1175/1520-0442(2000) 0132.0.CO;2.
3. R. de Jong et al., "Analysis of monotonic greening and browning trends from global NDVI time-series," Remote Sens. Eviron. 115(2), 692-702 (2011), http://dx.doi.org/10.1016/j.rse .2010.10.011.
4. S. Ganguly et al., "Land surface phenology from MODIS: characterization of the Collection 5 global land cover dynamics product," Remote Sens. Environ. 114(8), 1805-1816 (2010), http://dx.doi.org/10.1016/j.rse. 2010.04.005.
5. R. B. Gurung et al., "Predicting enhanced vegetation index (EVI) curves for ecosystem modeling applications," Remote Sens. Environ. 113(10), 2186-2193 (2009), http://dx .doi.org/10.1016/j.rse.2009.05.015.
6. X. Xiao et al., "Satellite-based modeling of gross primary production in an evergreen needleleaf forest," Remote Sens. Environ. 89(4), 519-534 (2004), http://dx.doi.org/10.1016/j .rse.2003.11.008. (Pubitemid 38215276)
7. P. L. Nagler et al., "Evapotranspiration on western U.S. rivers estimated using the enhanced vegetation index from MODIS and data from eddy covariance and Bowen ratio flux towers," Remote Sens. Environ. 97(3), 337-351 (2005), http://dx.doi.org/10 .1016/j.rse.2005.05.011. (Pubitemid 41140355)
8. A. R. Huete et al., "Overview of the radiometric and biophysical performance of the MODIS vegetation indices," Remote Sens. Environ. 83(1-2), 195-213 (2002), http://dx.doi.org/10 .1016/S0034-4257(02)00096-2.
9. A. R. Huete, C. O. Justice, and H. Q. Liu, "Development of vegetation and soil indices for MODIS-EOS," Remote Sens. Environ. 49(3), 224-234 (1994), http://dx.doi.org/10.1016/0034-4257(94)90018-3.
10. Committee on Earth Science and Applications from Space: A Community Assessment and Strategy for the Future, National Research Council," Earth Science and Applications from Space: National Imperatives for the Next Decade and Beyond, The National Academies Press, Washington, D.C. (2007).
11. R. L. Vogel, J. L. Privette, and Y. Yu, "Creating proxy VIIRS data from MODIS: spectral transformations for mid-and thermal-infrared bands," IEEE Trans. Geosci. Remote Sens. 46(11), 3768-3782 (2008), http://dx.doi.org/10. 1109/TGRS.2008.923320.
12. R. Fensholt, I. Sandholt, and S. Stisen, "Evaluating MODIS, MERIS, and VEGETATION vegetation indices using in situ measurements in a semiarid environment," IEEE Trans. Geosci. Remote Sens. 44(7), 1774-1786 (2006), http://dx.doi.org/10.1109/TGRS.2006 .875940. (Pubitemid 44109499)
13. O. Samain, B. Geiger, and J. L. Roujean, "Spectral normalization and fusion of optical sensors for the retrieval of BRDF and albedo: application to VEGETATION, MODIS, and MERIS data sets," IEEE Trans. Geosci. Remote Sens. 44(11), 3166-3179 (2006), http://dx.doi.org/10.1109/TGRS.2006.879545.
14. M. Schmidt et al., "Long term data fusion for a dense time series analysis with MODIS and Landsat imagery in an Australian savanna," J. Appl. Remote Sens. 6, 063512 (2012), http://dx.doi.org/10.1117/1.JRS.6.063512.
15. T. Miura, A. R. Huete, and H. Yoshioka, "An empirical investigation of cross-sensor relationships of NDVI and red/near-infrared reflectance using EO-1 Hyperion data," Remote Sens. Environ. 100(2), 223-236 (2006), http://dx.doi.org/10.1016/j.rse.2005.10 .010. (Pubitemid 43084807)
16. A. H. Strahler, C. E.Woodcock, and J. Smith, "On the nature of models in remote sensing," Remote Sens. Environ. 20(2), 121-139 (1986), http://dx.doi.org/10.1016/0034-4257(86) 90018-0.
17. C. O. Justice et al., "Spatial degradation of satellite data," Int. J. Remote Sens. 10(9), 1539-1561 (1989), http://dx.doi.org/10.1080/ 01431168908903989. (Pubitemid 20595973)
18. J. N. Epiphanio and A. R. Huete, "Dependence of NDVI and SAVI on Sun/sensor geometry and its effect on fAPAR relationships in Alfalfa," Remote Sens. Environ. 51(3), 351-360 (1995), http://dx.doi.org/10.1016/0034- 4257(94)00110-9.
19. J. Verrelst et al., "Angular sensitivity analysis of vegetation indices derived from CHRIS/PROBA data," Remote Sens. Environ. 112(5), 2341-2353 (2008), http://dx.doi.org/10 .1016/j.rse.2007.11.001.
20. H. Wu and Z.-L. Li, "Scale issues in remote sensing: a review on analysis, processing and modeling," Sensors 9(3), 1768-1793 (2009), http://dx.doi.org/10.3390/s90301768.
21. T. Miura, J. P. Turner, and A. R. Huete, "Spectral compatibility of the NDVI across VIIRS, MODIS, and AVHRR: an analysis of atmospheric effects using EO-1 Hyperion," IEEE Trans. Geosci. Remote Sens. 51(3), 1349-1359 (2013), http://dx.doi.org/10.1109/TGRS .2012.2224118.
22. C. D. Elvidge and Z. Chen, "Comparison of broad-band and narrow-band red and nearinfrared vegetation indices," Remote Sens. Environ. 54(1), 38-48 (1995), http://dx.doi .org/10.1016/0034-4257(95)00132-K. (Pubitemid 26442295)
23. R. Bryant et al., "Data continuity of Earth Observing 1 (EO-1) Advanced Land I Satellite Imager (ALI) and Landsat TM and ETM+," IEEE Trans. Geosci. Remote Sens. 41(6), 1204-1214 (2003), http://dx.doi.org/10.1109/ TGRS.2003.813213.
24. P. M. Teillet et al., "Impacts of spectral band difference effects on radiometric cross-calibration between satellite sensors in the solar-reflective spectral domain," Remote Sens. Environ. 110(3), 393-409 (2007), http://dx.doi.org/10.1016/j.rse.2007.03.003. (Pubitemid 47285210)
25. E. Swinnen and F. Veroustraete, "Extending the SPOT-VEGETATION NDVI time series (1998-2006) back in time with NOAA-AVHRR data (1985-1998) for Southern Africa," IEEE Trans. Geosci. Remote Sens. 46(2), 558-572 (2008), http://dx.doi.org/10.1109/TGRS.2007.909948.
26. T. Miura and H. Yoshioka, "Hyperspectral data in long-term, cross-sensor continuity studies," in Hyperspectral Remote Sensing of Vegetation, P. S. Thenkabail, J. G. Lyon, and A. R. Huete, Eds., pp. 607-627, CRC Press, Boca Raton, Florida (2011).
27. Y. Kim et al., "Spectral compatibility of vegetation indices across sensors: band decomposition analysis with Hyperion data," J. Appl. Remote Sens. 4, 043520 (2010), http://dx.doi .org/10.1117/1.3400635.
28. M. D. Steven et al., "Intercalibration of vegetation indices from different sensor systems," Remote Sens. Environ. 88(4), 412-422 (2003), http://dx.doi.org/10.1016/j.rse .2003.08.010. (Pubitemid 38178934)
29. L. Ji et al., "Agreement evaluation of AVHRR and MODIS 16-day composite NDVI data sets," Int. J. Remote Sens. 29(16), 4839-4861 (2008), http://dx.doi.org/10.1080/01431160801927194.
30. A. P. Trishchenko, J. Cihlar, and Z. Li, "Effects of spectral response function on surface reflectance and NDVI measured with moderate resolution satellite sensors," Remote Sens. Environ. 81(1), 1-18 (2002), http://dx.doi.org/10.1016/S0034-4257(01)00328-5. (Pubitemid 34577390)
31. A. P. Trishchenko, "Effects of spectral response function on surface reflectance and NDVI measured with moderate resolution satellite sensors: extension to AVHRR NOAA-17, 18 and METOP-A," Remote Sens. Environ. 113(2), 335-341 (2009), http://dx.doi.org/10.1016/j.rse.2008.10.002.
32. W. J. D. van Leeuwen et al., "Multi-sensor NDVI data continuity: uncertainties and implications for vegetation monitoring applications," Remote Sens. Environ. 100(1), 67-81 (2006), http://dx.doi.org/10.1016/j.rse. 2005.10.002. (Pubitemid 41828106)
33. P. D'Odorico et al., "Experimental evaluation of Sentinel-2 spectral response functions for NDVI time-series continuity," IEEE Trans. Geosci. Remote Sens. 51(3), 1336-1348 (2013), http://dx.doi.org/10.1109/TGRS.2012. 2235447.
34. A. Gonsamo and J. M. Chen, "Spectral response function comparability among 21 satellite sensors for vegetation monitoring," IEEE Trans. Geosci. Remote Sens. 51(3), 1319-1335 (2013), http://dx.doi.org/10.1109/TGRS.2012. 2198828.
35. A. A. Gitelson and Y. J. Kaufman, "MODIS NDVI optimization to fit the AVHRR data series-spectral considerations," Remote Sens. Environ. 66(3), 343-350 (1998), http://dx .doi.org/10.1016/S0034-4257(98)00065-0. (Pubitemid 29360719)
36. B.-C. Gao, "A practical method for simulating AVHRR-consistent NDVI data series using narrow MODIS channels in the 0.5-1.0 ?m spectral range," IEEE Trans. Geosci. Remote Sens. 38(4), 1969-1975 (2000), http://dx.doi.org/10. 1109/36.851778.
37. K. P. Gunther and S.W. Maier, "AVHRR compatible vegetation index derived from MERIS data," Int. J. Remote Sens. 28(3-4), 693-708 (2007), http://dx.doi.org/10.1080/01431160600815541. (Pubitemid 46372003)
38. H. Yoshioka, T. Miura, and A. R. Huete, "An isoline-based translation technique of spectral vegetation index using EO-1 hyperion data," IEEE Trans. Geosci. Remote Sens. 41(6), 1363-1372 (2003), http://dx.doi.org/10.1109/TGRS.2003.813212.
39. H. Yoshioka, T. Miura, and K. Obata, "Derivation of relationships between spectral vegetation indices from multiple sensors based on vegetation isolines," Remote Sens. 4(3), 583-597 (2012), http://dx.doi.org/10.3390/ rs4030583.
40. H. Yoshioka, "Vegetation isoline equations for an atmosphere-canopy-soil system," IEEE Trans. Geosci. Remote Sens. 42(1), 166-175 (2004), http://dx.doi.org/10.1109/TGRS.2003 .817793.
41. A. R. Huete, "A soil-adjusted vegetation index (SAVI)," Remote Sens. Environ. 25(3), 295-309 (1988), http://dx.doi.org/10.1016/0034-4257(88) 90106-X. (Pubitemid 19297854)
42. Z. Jiang et al., "Development of a two-band enhanced vegetation index without a blue band," Remote Sens. Environ. 112(10), 3833-3845 (2008), http://dx.doi.org/10.1016/j .rse.2008.06.006.
43. F. Baret and G. Guyot, "Potentials and limits of vegetation indices for LAI and APAR assessment," Remote Sens. Environ. 35(2-3), 161-173 (1991), http://dx.doi.org/10.1016/0034-4257(91)90009-U.
44. H. Yoshioka, A. R. Huete, and T. Miura, "Derivation of vegetation isoline equations in red-NIR reflectance space," IEEE Trans. Geosci. Remote Sens. 38(2), 838-848 (2000), http://dx .doi.org/10.1109/36.842012. (Pubitemid 30594746)
45. H. Yoshioka et al., "Analysis of vegetation isolines in red-NIR reflectance space," Remote Sens. Environ. 74(2), 313-326 (2000), http://dx.doi.org/10.1016/S0034-4257 (00)00130-9.
46. F. Baret, S. Jacquemoud, and J. F. Hanocq, "The soil line concept in remote sensing," Remote Sens. Rev. 7(1), 65-82 (1993), http://dx.doi.org/10.1080/02757259309532166. (Pubitemid 23382123)
47. S. Jacquemoud et al., "PROSPECT + SAIL models: a review of use for vegetation characterization," Remote Sens. Environ. 113(Suppl. 1), S56-S66 (2009), http://dx.doi.org/10 .1016/j.rse.2008.01.026.
48. J.-B. Feret et al., "PROSPECT-4 and 5: advances in the leaf optical properties model separating photosynthetic pigments," Remote Sens. Environ. 112(6), 3030-3043 (2008), http://dx.doi.org/10.1016/j.rse.2008.02.012.
49. W. Verhoef et al., "Unified optical-thermal four-stream radiative transfer theory for homogeneous vegetation canopies," IEEE Trans. Geosci. Remote Sens. 45(6), 1808-1822 (2007), http://dx.doi.org/10.1109/TGRS.2007. 895844. (Pubitemid 46853290)
50. E. F. Vermote et al., "Second simulation of the satellite signal in the solar spectrum, 6S: an overview," IEEE Trans. Geosci. Remote Sens. 35(3), 675-686 (1997), http://dx.doi.org/10 .1109/36.581987. (Pubitemid 127771105)
51. A. R. Huete, L. Ferreira, and T. Miura, "LBA-ECO LC-19 Field Measurements 2002: Biophysical & Soil Parameters," National Institute for Space Research (INPE/CPTEC), The Oak Ridge National Laboratory Distributed Active Archive Center, Cachoeira Paulista, Sao Paulo, Brazil (2008).
52. C. O. Justice et al., "Land and cryosphere products from Suomi NPP VIIRS: overview and status," J. Geophys. Res. Atmos. 118(17), 9753-9765 (2013), http://dx.doi.org/10.1002/jgrd .v118.17.