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Volumn , Issue , 2011, Pages 4062-4065

Remote sensing indicators for crop growth monitoring at different scales

Author keywords

Crop growth monitoring; HJ 1A; indicator; LAI; SAVI

Indexed keywords

CANOPY SPECTRUM; CORRELATION COEFFICIENT; CROP GROWTH; DIFFERENT SCALE; FIELD EXPERIMENT; GRAIN CROPS; GROWTH MONITORING; HEBEI PROVINCE; HJ-1A; LAI; MULTI-SPECTRAL; NORTH CHINA PLAIN; PHENOLOGICAL STAGE; REGIONAL SCALE; REMOTE SENSING DATA; SAVI; SPATIAL SCALE; STUDY AREAS; VEGETATION INDEX; WINTER WHEAT; YIELD ESTIMATION;

EID: 80955167659     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2011.6050124     Document Type: Conference Paper
Times cited : (9)

References (7)
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  • 3
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    • ]A. R. Huete, H. Q. Liu, K. Batchily, and W. Van Leeuwen, "A comparison of vegetation indices over a global set of TM images for EOS-MODIS," Remote Sensing of Environment, Vol. 59, No. 3, pp. 440-451, 1997.
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  • 4
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    • DOI 10.1016/S0034-4257(02)00096-2, PII S0034425702000962
    • ]A. R. 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 Sensing of Environment, Vol. 83, No. 1-2, pp. 195-213, 2002. (Pubitemid 35307469)
    • (2002) Remote Sensing of Environment , vol.83 , Issue.1-2 , pp. 195-213
    • Huete, A.1    Didan, K.2    Miura, T.3    Rodriguez, E.P.4    Gao, X.5    Ferreira, L.G.6
  • 5
    • 0032020277 scopus 로고    scopus 로고
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  • 6
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    • A methodology for a combined use of normalised difference vegetation index and CORINE land cover data for crop yield monitoring and forecasting. A case study on Spain
    • ]G. Genovese, C. Vignolles, T. Negre, G, Passera, "A methodology for a combined use of Normalized Difference Vegetation Index and CORINE land cover data for crop yield monitoring and forecasting: A case study on Spain," Agronomie, Vol. 21, pp. 91-111, 2001. (Pubitemid 32140022)
    • (2001) Agronomie , vol.21 , Issue.1 , pp. 91-111
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  • 7
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    • Operational maize yield model development and validation based on remote sensing and agro-meteorological data in Kenya
    • DOI 10.1080/01431160601075608, PII 781531816
    • ]O. Rojas, "Operational maize yield model development and validation based on remote sensing and agro-meteorological data in Kenya," International Journal of Remote Sensing, Vol. 28, No. 17, pp. 3775-3793, 2007. (Pubitemid 47343445)
    • (2007) International Journal of Remote Sensing , vol.28 , Issue.17 , pp. 3775-3793
    • Rojas, O.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.