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Volumn 40, Issue 1W4, 2015, Pages 299-303

Leaf area index estimation in vineyards from UAV hyperspectral data, 2D image mosaics and 3D canopy surface models

Author keywords

Biomass; Crop; Narrow band indices; Precision agriculture

Indexed keywords

PLANTS (BOTANY); PRECISION AGRICULTURE; THREE DIMENSIONAL COMPUTER GRAPHICS; UNMANNED AERIAL VEHICLES (UAV);

EID: 84974555423     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5194/isprsarchives-XL-1-W4-299-2015     Document Type: Conference Paper
Times cited : (77)

References (11)
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    • Duan, S.-B., Li, Z.-L., Wu, H., Tang, B.-H., Ma, L., Zhao, E. and Li, C., 2014. Inversion of the PROSAIL model to estimate leaf area index of maize, potato, and sunflower fields from unmanned aerial vehicle hyperspectral data. International Journal of Applied Earth Observation and Geoinformation 26(0), pp. 12-20.
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    • Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
    • Haboudane, D., Miller, J. R., Pattey, E., Zarco-Tejada, P. J. and Strachan, I. B., 2004. Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture. Remote Sensing of Environment 90(3), pp. 337-352.
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    • Hyperspectral vegetation indices and their relationships with agricultural crop characteristics
    • Thenkabail, P. S., Smith, R. B. and Pauw, E. D., 2000. Hyperspectral Vegetation Indices and Their Relationships with Agricultural Crop Characteristics. Remote Sensing of Environment 71(2), pp. 158-182.
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    • Spatio-temporal patterns of chlorophyll fluorescence and physiological and structural indices acquired from hyperspectral imagery as compared with carbon fluxes measured with eddy covariance
    • Zarco-Tejada, P., Morales, A., Testi, L. and Villalobos, F., 2013. Spatio-temporal patterns of chlorophyll fluorescence and physiological and structural indices acquired from hyperspectral imagery as compared with carbon fluxes measured with eddy covariance. Remote Sensing of Environment 133(0), pp. 102-115.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.