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Volumn 151, Issue 12, 2011, Pages 1698-1710

A comparison of methods for estimating fractional vegetation cover in arid regions

Author keywords

Fractional vegetation cover; Maximal gradient difference model; NDVI; Sparse desert vegetation; Spectral mixture analysis

Indexed keywords

ARID REGION; COMPARATIVE STUDY; DATA SET; DESERT; ESTIMATION METHOD; GROWING SEASON; IN SITU MEASUREMENT; NDVI; NUMERICAL MODEL; PIXEL; PRECISION; PREDICTION; RAINFALL; REGRESSION ANALYSIS; REMOTE SENSING; SNOW COVER; SOIL MOISTURE; SPECTRAL ANALYSIS; VEGETATION COVER; VEGETATION MAPPING;

EID: 80054907200     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agrformet.2011.07.004     Document Type: Article
Times cited : (232)

References (37)
  • 1
    • 0001395470 scopus 로고
    • Spectral mixture modeling: a new analysis of rock and soil types at the Viking Lander 1 Site
    • Adams J.B., Smith M.O., Johnson P.E. Spectral mixture modeling: a new analysis of rock and soil types at the Viking Lander 1 Site. J. Geophys. Res. 1986, 91:8098-8112.
    • (1986) J. Geophys. Res. , vol.91 , pp. 8098-8112
    • Adams, J.B.1    Smith, M.O.2    Johnson, P.E.3
  • 3
    • 0002665558 scopus 로고
    • Sedimentary facies analysis using imaging spectrometry: a geophysical inverse problem. In: Proceedings of the Third AVIRIS Workshop, Pasadena, CA, Jet Propulsion Laboratory Publication 91-28
    • Boardman, J.W., Goetz, A.F.H., 1991. Sedimentary facies analysis using imaging spectrometry: a geophysical inverse problem. In: Proceedings of the Third AVIRIS Workshop, Pasadena, CA, Jet Propulsion Laboratory Publication 91-28, 4-13.
    • (1991) , pp. 4-13
    • Boardman, J.W.1    Goetz, A.F.H.2
  • 4
    • 0036812380 scopus 로고    scopus 로고
    • Evaluation of approaches for forest cover estimation in the Pacific Northwest, USA, using remote sensing
    • Boyd D.S., Foody G.M., Ripple W.J. Evaluation of approaches for forest cover estimation in the Pacific Northwest, USA, using remote sensing. Appl. Geogr. 2002, 22:375-392.
    • (2002) Appl. Geogr. , vol.22 , pp. 375-392
    • Boyd, D.S.1    Foody, G.M.2    Ripple, W.J.3
  • 5
    • 0027039255 scopus 로고
    • Percent vegetation covers of a degrading rangeland from SPOT
    • Dymond J.R., Stephens P.R., Newsome P.F. Percent vegetation covers of a degrading rangeland from SPOT. Int. J. Remote Sens. 1992, 13:1999-2007.
    • (1992) Int. J. Remote Sens. , vol.13 , pp. 1999-2007
    • Dymond, J.R.1    Stephens, P.R.2    Newsome, P.F.3
  • 6
    • 84950461478 scopus 로고
    • Estimating the error rate of a prediction rule: Improvement on cross-validation
    • Efron B. Estimating the error rate of a prediction rule: Improvement on cross-validation. J. Amer. Statist. Assoc. 1983, 78:316-331.
    • (1983) J. Amer. Statist. Assoc. , vol.78 , pp. 316-331
    • Efron, B.1
  • 7
    • 0242463529 scopus 로고    scopus 로고
    • IKONOS imagery for resource management: tree cover, impervious surfaces, and riparian buffer analyses in the mid-atlantic region
    • Goetz S.J., Wright R.K., Smith A.J., Zinecker E., Schaub E. IKONOS imagery for resource management: tree cover, impervious surfaces, and riparian buffer analyses in the mid-atlantic region. Remote Sens. Environ. 2003, 88:195-208.
    • (2003) Remote Sens. Environ. , vol.88 , pp. 195-208
    • Goetz, S.J.1    Wright, R.K.2    Smith, A.J.3    Zinecker, E.4    Schaub, E.5
  • 8
    • 0024165257 scopus 로고
    • The assessment and monitoring of sparsely vegetated rangelands using calibrated Landsat data
    • Graetz R.D., Pech R.R., Davis A.W. The assessment and monitoring of sparsely vegetated rangelands using calibrated Landsat data. Int. J. Remote Sens. 1988, 9:1201-1222.
    • (1988) Int. J. Remote Sens. , vol.9 , pp. 1201-1222
    • Graetz, R.D.1    Pech, R.R.2    Davis, A.W.3
  • 9
    • 33846561555 scopus 로고    scopus 로고
    • Relative spectral mixture analysis-a multitemporal index of total vegetation cover
    • Okin G.S. Relative spectral mixture analysis-a multitemporal index of total vegetation cover. Remote Sens. Environ. 2007, 106:467-479.
    • (2007) Remote Sens. Environ. , vol.106 , pp. 467-479
    • Okin, G.S.1
  • 10
    • 63649108186 scopus 로고    scopus 로고
    • Estimating fractional cover of photosynthetic vegetation, non-photosyntheticvegetation and bare soil in the Australian tropical savanna region upscaling the EO-1 Hyperion and MODIS sensors
    • Guerschman J.P., Hill M.J., Renzullo L.J., Barrett D.J., Marks A.S., Botha E.J. Estimating fractional cover of photosynthetic vegetation, non-photosyntheticvegetation and bare soil in the Australian tropical savanna region upscaling the EO-1 Hyperion and MODIS sensors. Remote Sens. Environ. 2009, 113:928-945.
    • (2009) Remote Sens. Environ. , vol.113 , pp. 928-945
    • Guerschman, J.P.1    Hill, M.J.2    Renzullo, L.J.3    Barrett, D.J.4    Marks, A.S.5    Botha, E.J.6
  • 11
    • 80054957701 scopus 로고    scopus 로고
    • Classification of sparse desert riparian forest in extreme arid region
    • (in Chinese)
    • Guli J., Xi C., Zhongguo M., Cun C. Classification of sparse desert riparian forest in extreme arid region. J. Desert Res. 2009, 29:1153-1161. (in Chinese).
    • (2009) J. Desert Res. , vol.29 , pp. 1153-1161
    • Guli, J.1    Xi, C.2    Zhongguo, M.3    Cun, C.4
  • 12
    • 0000796604 scopus 로고    scopus 로고
    • The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models
    • Gutman G., Ignalov 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(8):1533-1543.
    • (1998) Int. J. Remote Sens. , vol.19 , Issue.8 , pp. 1533-1543
    • Gutman, G.1    Ignalov, A.2
  • 13
    • 0036846098 scopus 로고    scopus 로고
    • Towards an operational MODIS continuous field of percent tree cover algorithm: examples using AVHRR and MODIS data
    • Hansen M.C., Defries R.S., Townshend J.R.G., Sohlberg R., Dimiceli C., Carroll M. Towards an operational MODIS continuous field of percent tree cover algorithm: examples using AVHRR and MODIS data. Remote Sens. Environ. 2002, 83:303-319.
    • (2002) Remote Sens. Environ. , vol.83 , pp. 303-319
    • Hansen, M.C.1    Defries, R.S.2    Townshend, J.R.G.3    Sohlberg, R.4    Dimiceli, C.5    Carroll, M.6
  • 15
    • 33747136902 scopus 로고    scopus 로고
    • Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery
    • Hanqiu X. Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. Int. J. Remote Sens. 2006, 27:3025-3033.
    • (2006) Int. J. Remote Sens. , vol.27 , pp. 3025-3033
    • Hanqiu, X.1
  • 16
    • 0024165401 scopus 로고
    • A soil-adjusted vegetation indices (SAVI)
    • Huete A.R. A soil-adjusted vegetation indices (SAVI). Remote Sens. Environ. 1988, 25(3):295-309.
    • (1988) Remote Sens. Environ. , vol.25 , Issue.3 , pp. 295-309
    • Huete, A.R.1
  • 17
    • 20444490390 scopus 로고    scopus 로고
    • Urban climate simulation by incorporating satellite-derived vegetation cover distribution into a mesoscale meteorological model 2004
    • Hirano Y., Yasuoka Y., Ichinose T. Urban climate simulation by incorporating satellite-derived vegetation cover distribution into a mesoscale meteorological model. Theor. Appl. Climatol. 2004, 2004:175-184.
    • (2004) Theor. Appl. Climatol. , pp. 175-184
    • Hirano, Y.1    Yasuoka, Y.2    Ichinose, T.3
  • 18
    • 0026835285 scopus 로고
    • Atmospherically resistant vegetation indices (ARVI) for EOS-MODIS. In: Proceeding of IEEE Internationl Geoscience and Remote Sensing Symposium, IEEE, New York
    • Kaufman, Y.J., Tanré, D., 1992. Atmospherically resistant vegetation indices (ARVI) for EOS-MODIS. In: Proceeding of IEEE Internationl Geoscience and Remote Sensing Symposium, IEEE, New York, pp. 261-270.
    • (1992) , pp. 261-270
    • Kaufman, Y.J.1    Tanré, D.2
  • 19
    • 0034212255 scopus 로고    scopus 로고
    • Hyperspectral mixture modeling for quantifying sparse vegetation cover in arid environments
    • Kenneth M.G., Timothy M., Lynn F. Hyperspectral mixture modeling for quantifying sparse vegetation cover in arid environments. Remote Sens. Environ. 2000, 72:360-374.
    • (2000) Remote Sens. Environ. , vol.72 , pp. 360-374
    • Kenneth, M.G.1    Timothy, M.2    Lynn, F.3
  • 21
    • 25844472385 scopus 로고    scopus 로고
    • A comparison of methods for estimating fractional green vegetation cover within a desert-to-upland transition zone in central New Mexico, USA
    • Jingfeng X., Aaron M. A comparison of methods for estimating fractional green vegetation cover within a desert-to-upland transition zone in central New Mexico, USA. Remote Sens. Environ. 2005, 98:237-250.
    • (2005) Remote Sens. Environ. , vol.98 , pp. 237-250
    • Jingfeng, X.1    Aaron, M.2
  • 22
    • 70349582713 scopus 로고    scopus 로고
    • Study of fractional vegetation cover using high spectral resolution data
    • Patel N.K., Saxena R.K., Shiwalkar A.J.A.Y. Study of fractional vegetation cover using high spectral resolution data. J. Indian Soc. Remote Sens. 2007, 35(1):73-79.
    • (2007) J. Indian Soc. Remote Sens. , vol.35 , Issue.1 , pp. 73-79
    • Patel, N.K.1    Saxena, R.K.2    Shiwalkar, A.J.A.Y.3
  • 23
    • 0036217642 scopus 로고    scopus 로고
    • APAR, LAI, and vegetation fractional cover from ATSR-2 imagery
    • APAR, LAI, and vegetation fractional cover from ATSR-2 imagery. Remote Sens. Environ. 2002, 80(1):114-121.
    • (2002) Remote Sens. Environ. , vol.80 , Issue.1 , pp. 114-121
    • Peter, R.J.1
  • 24
    • 0027335304 scopus 로고
    • Estimating changes in vegetation cover over time in arid rangelands using landsat MSS data
    • Pickup G., Chewings V.H., Nelson D.J. Estimating changes in vegetation cover over time in arid rangelands using landsat MSS data. Remote Sens. Environ. 1993, 43:243-263.
    • (1993) Remote Sens. Environ. , vol.43 , pp. 243-263
    • Pickup, G.1    Chewings, V.H.2    Nelson, D.J.3
  • 25
    • 0027594726 scopus 로고
    • Estimating leaf area index from satellite data
    • Price J.C. Estimating leaf area index from satellite data. IEEE T Geosci. Remote 1993, 31:727-734.
    • (1993) IEEE T Geosci. Remote , vol.31 , pp. 727-734
    • Price, J.C.1
  • 26
    • 80054934259 scopus 로고    scopus 로고
    • Estimating of percent vegetation cover using vegetation indices. In: Conference Proceedings of the Japan Society for Photogrammetry and Remote Sensing. Yamagata, Japan, 8-9 October
    • Purevdorj, Ts., Ishiyama, T., Tateishi, R., Furuya, T., 1996. Estimating of percent vegetation cover using vegetation indices. In: Conference Proceedings of the Japan Society for Photogrammetry and Remote Sensing. Yamagata, Japan, 8-9 October, pp. 101-104.
    • (1996) , pp. 101-104
    • Purevdorj, T.S.1    Ishiyama, T.2    Tateishi, R.3    Furuya, T.4
  • 27
    • 0032457663 scopus 로고    scopus 로고
    • Relationships between percent vegetation cover and vegetation indices
    • Purevdorj Ts., Tateishi R., Ishiyama T. Relationships between percent vegetation cover and vegetation indices. Int. J. Remote Sens. 1998, 19(18):3519-3535.
    • (1998) Int. J. Remote Sens. , vol.19 , Issue.18 , pp. 3519-3535
    • Purevdorj, T.1    Tateishi, R.2    Ishiyama, T.3
  • 29
    • 0035837463 scopus 로고    scopus 로고
    • Estimation of urban vegetation abundance by spectral mixture analysis
    • Small C. Estimation of urban vegetation abundance by spectral mixture analysis. Int. J. Remote Sens. 2001, 22:1305-1334.
    • (2001) Int. J. Remote Sens. , vol.22 , pp. 1305-1334
    • Small, C.1
  • 30
    • 0001768602 scopus 로고    scopus 로고
    • Correlation of rangeland cover measure to satellite-imagery-derived indices
    • Senseman G.M., Bagley C.F., Tweddale S.A. Correlation of rangeland cover measure to satellite-imagery-derived indices. Geocartol. Int. 1996, 11:29-37.
    • (1996) Geocartol. Int. , vol.11 , pp. 29-37
    • Senseman, G.M.1    Bagley, C.F.2    Tweddale, S.A.3
  • 31
    • 0030131615 scopus 로고    scopus 로고
    • Monitoring temporal vegetation cover changes in Mediterranean and arid ecosystems using a remote sensing technique: case study of the Judean Mountain and the Judean Desert
    • Shoshany M., Kutiel P., Lavee H. Monitoring temporal vegetation cover changes in Mediterranean and arid ecosystems using a remote sensing technique: case study of the Judean Mountain and the Judean Desert. J. Arid Environ. 1996, 33:9-21.
    • (1996) J. Arid Environ. , vol.33 , pp. 9-21
    • Shoshany, M.1    Kutiel, P.2    Lavee, H.3
  • 32
    • 0025571552 scopus 로고
    • Vegetation in deserts: I. A regional measure of abundance from multispectral images
    • Smith M.O., Ustin S.L., Adams J.B., Gillespie A.R. Vegetation in deserts: I. A regional measure of abundance from multispectral images. Remote Sens. Environ. 1990, 31:1-26.
    • (1990) Remote Sens. Environ. , vol.31 , pp. 1-26
    • Smith, M.O.1    Ustin, S.L.2    Adams, J.B.3    Gillespie, A.R.4
  • 33
    • 34248642373 scopus 로고    scopus 로고
    • A simple method to estimate crown cover fraction and rebuild the background information
    • (in Chinese)
    • Shihao T., Qijiang Z., Yuyu Z., Xianghua B., Yanmin S. A simple method to estimate crown cover fraction and rebuild the background information. J. Image Graphics 2003, 8(1):1304-1309. (in Chinese).
    • (2003) J. Image Graphics , vol.8 , Issue.1 , pp. 1304-1309
    • Shihao, T.1    Qijiang, Z.2    Yuyu, Z.3    Xianghua, B.4    Yanmin, S.5
  • 34
    • 0037138459 scopus 로고    scopus 로고
    • An evaluation of spectral mixture modeling applied to a semi-arid environment
    • Theseira M.A., Thomas G., Sannier C.A.D. An evaluation of spectral mixture modeling applied to a semi-arid environment. Int. J. Remote Sens. 2002, 23:687-700.
    • (2002) Int. J. Remote Sens. , vol.23 , pp. 687-700
    • Theseira, M.A.1    Thomas, G.2    Sannier, C.A.D.3
  • 37
    • 0013693116 scopus 로고
    • Area-averaged vegetative cover fraction estimated from satellite data
    • Wittich K.P., Hansing O. Area-averaged vegetative cover fraction estimated from satellite data. Int. J. Biometeorol. 1995, l38:209-215.
    • (1995) Int. J. Biometeorol. , vol.L38 , pp. 209-215
    • Wittich, K.P.1    Hansing, O.2


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