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Articles

The importance of leaf area index in mapping chlorophyll content of corn under different agricultural treatments using UAV images

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Pages 5415-5431 | Received 29 Nov 2017, Accepted 13 Mar 2018, Published online: 26 Mar 2018

References

  • Bach, H., S. Begiebing, D. Waldmann, and B. Rowotzki. 2005. “Analysis of Hyperspectral and Directional Data for Agricultural Monitoring Using the Canopy Reflectance Model SLC; Progress in the Upper Rhine Valley and Baasdorf Test-Sites.” Proceedings of the 3rd CHRIS/Proba Workshop, Frascati, edited by H. Lacoste. Italy: ESRIN, March 21-23. ESA SP-593. The Netherlands: ESTEC.
  • Baret, F., V. Houles, and M. Guerif. 2007. “Quantification of Plant Stress Using Remote Sensing Observations and Crop Models: The Case of Nitrogen Management.” Journal of Experimental Botany 58: 869–880.
  • Barnes, E. M., T. R. Clarke, S. E. Richards, P. D. Colaizzi, J. Haberland, M. Kostrzewski, P. Waller, C. Choi, E. Riley, T. Thompson, R. J. Lascano, H. Li, and M. S. Moran. 2000. “Coincident Detection of Crop Water Stress, Nitrogen Status and Canopy Density Using Ground Based Multispectral Data.” Proceedings of the Fifth International Conference on Precision Agriculture, Bloomington, MN, July 16 – 19.
  • Begiebing, S., H. Bach, D. Waldmann, and W. Mauser. 2005. “Analysis of Spaceborne Hyperspectral and Directional CHRIS Data to Deliver Crop Status for Precision Agriculture.” In Proceedings of the 5th European Conference on Precision Agriculture, J. Stafford and A. Werner, edited by, The Netherlands: Wageningen Academic Publishers, June 9-12.
  • Bender, S. F., and M. G. A. van der Heijden. 2015. “Soil Biota Enhance Agricultural Sustainability by Improving Crop Yield, Nutrient Uptake and Reducing Nitrogen Leaching Losses.” Journal of Applied Ecology 52 (1): 228–239. doi:10.1111/1365-2664.12351.
  • Broge, N. M., and E. Leblanc. 2001. “Comparing Predictive Power and Stability of Broadband and Hyperspectral Vegetation Indices for Estimation of Green Leaf, Area Index, and Canopy Chlorophyll Density.” Remote Sensing of Environment 76: 165–172. doi:10.1016/S0034-4257(00)00197-8.
  • Carter, G. A. 1994. “Ratios of Leaf Reflectances in Narrow Wavebands as Indicators of Plant Stress.” International Journal of Remote Sensing 15 (3): 697–703. doi:10.1080/01431169408954109.
  • Chen, J. M., G. Pavlic, L. Brown, J. Cihlar, S. G. Leblanc, H. P. White, R. J. Hall, et al. 2002. “Derivation and Validation of Canada-Wide Coarse-Resolution Leaf Area Index Maps Using High Resolution Satellite Imagery and Ground Measurements.” Remote Sensing of Environment 80: 165–184. doi:10.1016/S0034-4257(01)00300-5.
  • Clevers, J. G. P. W., S. M. De Jong, G. F. Epema, F. D. van der Meer, W. H. Bakker, A. K. Skidmore, and K. H. Scholte. 2002. “Derivation of the Red Edge Index Using the MERIS Standard Band Setting.” International Journal of Remote Sensing 23: 3169–3184. doi:10.1080/01431160110104647.
  • Costa, F. G., J. Ueyama, T. Braun, G. Pessin, F. S. Osorio, and P. A. Vargas. 2012. “The Use of Unmanned Aerial Vehicles and Wireless Sensor Network in Agricultural Applications.” Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany: IEEE International, July 22-27. doi:10.1109/IGARSS.2012.6352477.
  • Curran, P. J. 1989. “Remote Sensing of Foliar Chemistry.” Remote Sensing of Environment 30: 271–278. doi:10.1016/0034-4257(89)90069-2.
  • Dawson, T. P., and P. J. Curran. 1998. “A New Technique for Interpolating the Reflectance Red Edge Position.” International Journal of Remote Sensing 19: 2133–2139. doi:10.1080/014311698214910.
  • Delegido, J., G. Fernandez, S. Gandia, and J. Modeno. 2008. “Retrieval of Chlorophyll Content and LAI of Crops Using Hyperspectraql Techniques: Application to PROBA/CHRIS Data.” International Journal of Remote Sensing 29 (24): 7107–7127. doi:10.1080/01431160802238401.
  • Demarez, V., and J. P. Gastellu-Etchegorry. 2000. “A Modeling Approach for Studying Forest Chlorophyll Content.” Remote Sensing of Environment 71: 226–238. doi:10.1016/S0034-4257(99)00089-9.
  • Duan, S.-B., Z.-L. Li, H. Wu, B.-H. Tang, L. Ma, E. Zhao, and C. Li. 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: 12–20. doi:10.1016/j.jag.2013.05.007.
  • Ehleringer, J. R., and C. B. Field. 1993. “Scaling Physiological Processes: Leaf to Globe.” In Physiological Ecology, edited by J. Roy. Boston: Academic Press.
  • Elarab, M., A. M. Ticlavilca, A. F. Torres-Rua, I. Maslova, and M. McKee. 2015. “Estimating Chlorophyll with Thermal and Broadband Multispectral High Resolution Imagery from an Unmanned Aerial System Using Relevance Vector Machines for Precision Agriculture.” International Journal of Applied Earth Observation and Geoinformation 43: 32–42. doi:10.1016/j.jag.2015.03.017.
  • Elvidge, C. D., and Z. Chen. 1995. “Comparison of Broad-Band and Narrow-Band Red and Near-Infrared Vegetation Indices.” Remote Sensing of Environment 54: 38–48. doi:10.1016/0034-4257(95)00132-K.
  • Gage, S. H., J. E. Doll, and G. R. Safir. 2014. “A Crop Stress Index to Predict Climatic Effects on Row-Crop Agriculture in the U.S. North Central Region.” In The Ecology of Agricultural Ecosystems: Long-Term Research on the Path to Sustainability, edited by S. K. Hamilton, J. E. Doll, and G. P. Robertson, 235–248. New York: Oxford University Press.
  • Garcia-Ruiz, F., S. Sankaran, J. M. Maja, W. S. Lee, J. Rasmussen, and R. Ehsani. 2013. “Comparison of Two Aerial Imaging Platforms for Identification of Huanglongbing-Infected Citrus Trees.” Computers and Electronics in Agriculture 91: 106–115. doi:10.1016/j.compag.2012.12.002.
  • Gitelson, A., and M. N. Merzlyak. 1994. “Quantitative Estimation of Chlorophyll-A Using Reflectance Spectra: Experiments with Autumn Chestnut and Maple Leaves.” Journal of Photochemistry and Photobiology B: Biology 22: 247–252. doi:10.1016/1011-1344(93)06963-4.
  • Gitelson, A. A., and M. N. Merzlyak. 1998. “Remote Sensing of Chlorophyll Concentration in Higher Plant Leaves.” Advances In Space Research 22 (5): 689–692. doi:10.1016/S0273-1177(97)01133-2.
  • Gitelson, A. A., A. Vina, V. Ciganda, D. C. Rundquist, and T. J. Arkebauer. 2005. “Remote Estimation of Canopy Chlorophyll in Crops.” Geophysical Research Letters 32: L08403. doi:10.1029/2005GL022688.
  • Gitelson, A. A., A. Vina, S. B. Verma, D. C. Rundquist, T. J. Arkebauer, G. Keydan, B. Leavitt, V. Ciganda, G. G. Burba, and A. E. Suyker. 2006. “Relation between Gross Primary Production and Chlorophyll Content in Crops: Implications for the Synoptic Monitoring of Vegetation Productivity.” Journal of Geophysical Research, Atmospheres 111 (8): [DO8S11]. doi:10.1029/2005JD006017.
  • Green, J. M. 2014. Current State of Herbicides in Herbicide-Resistant Crops. Review. Wiley Online Library. doi:10.1002/ps.3727.
  • Houborg, R., and E. Boegh. 2008. “Mapping Leaf Chlorophyll and Leaf Area Index Using Inverse and Forward Canopy Reflectance Modeling and SPOT Reflectance Data.” Remote Sensing of Environment 112: 186–202. doi:10.1016/j.rse.2007.04.012.
  • INRA, CAN-EYE software. Accessed 20 November 2017. https://www6.paca.inra.fr/can-eye/
  • Jacquemoud, S., S. L. Ustin, J. Verdebout, G. Scmuck, G. Andreoli, and B. Hosgood. 1996. “Estimating Leaf Biochemistry Using the PROSPECT Leaf Optical Properties Model.” Remote Sensing of Environment 56: 194–202. doi:10.1016/0034-4257(95)00238-3.
  • Krishna, K. R. 2016. Push Button Agriculture: Robotics, Drones, Satellite-Guided Soil and Crop Management. Oakville: Apple Academic Press. ISBN 978-1-77188-304-7.
  • le Maire, G., C. Francois, and E. Dufrene. 2004. “Towards Universal Broad Leaf Chlorophyll Indices Using PROSPECT Simulated Database and Hyperspectral Reflectance Measurements.” Remote Sensing of Environment 89: 1–28. doi:10.1016/j.rse.2003.09.004.
  • le Maire, G., C. Francois, K. Soudani, D. Berveiller, J.-Y. Pontailler, N. Breda, H. Genet, H. Davi, and E. Dufrene. 2008. “Calibration and Validation of Hyperspectral Indices for the Estimation of Broadleaved Forest Leaf Chlorophyll Content, Leaf Mass per Area, Leaf Area Index and Leaf Canopy Biomass.” Remote Sensing of Environment 112: 3846–3864. doi:10.1016/j.rse.2008.06.005.
  • Liang, L., Z. Qin, S. Zhao, L. Di, C. Zhang, M. Deng, H. Lin, L. Zhang, L. Wang, and Z. Liu. 2016. “Estimating Crop Chlorophyll Content with Hyperspectral Vegetation Indices and the Hybrid Inversion Method.” International Journal of Remote Sensing 37 (13): 2923–2949. doi:10.1080/01431161.2016.1186850.
  • Lichtenthaler, H. K. 1998. “The Stress Concept in Plans: As Introduction.” Annals of the New York Academy of Science 851: 187–198. doi:10.1111/j.1749-6632.1998.tb08993.x.
  • Michigan State University, Kellog Biological Station, Long-Term Ecological Research (LTER). 2016. Accessed 20 November 2017. http://lter.kbs.msu.edu/
  • Peng, Y., A. Nguy-Robertson, T. Arkebauer, and A. A. Gitelson. 2017. “Assessment of Canopy Chlorophyll Content Retrieval in Maize and Soybean: Implications of Hysteresis on the Development of Generic Algorithms.” Remote Sensing 9 (226): 226. doi:10.3390/rs9030226.
  • Pisek, J., J. M. Chen, J. R. Miller, J. R. Freemantle, J. I. Peltoniemi, and A. Simic. 2010. “Mapping Forest Background Reflectance in a Boreal Region Using Multi-Angle Compact Airborne Spectrographic Imager (CASI) Data.” IEEE Transactions on Geosciences and Remote Sensing 48 (1, 2): 499–510. doi:10.1109/TGRS.2009.2024756.
  • Pix4D. Accessed 20 November 2017. https://pix4d.com/
  • Rautiainen, M., M. Lang, M. Mottus, A. Kuusk, T. Nilson, J. Kuusk, and T. Lukk. 2008. “Multi-Angular Reflectance Properties of a Hemiboreal Forest: An Analysis Using CHRIS PROBA Data.” Remote Sensing of Environment 112: 2627–2642. doi:10.1016/j.rse.2007.12.005.
  • Ripullone, F., G. Grassi, M. Lauteri, and M. Borghetti. 2003. “Photosynthesis – Nitrogen Relationships: Interpretation of Different Patterns between Pseudotsuga Menziesii and Populus X Euroamericana in Mini-Stand Experiment.” Three Physiology 23: 137–144. doi:10.1093/treephys/23.2.137.
  • Robertson, G. P., S. L. Collins, D. R. Foster, N. Brokaw, H. W. Ducklow, T. L. Gragson, C. Gries, et al. 2012. “Long-Term Ecological Research in a Human-Dominated World.” BioScience 62: 342–353. doi:10.1525/bio.2012.62.4.6.
  • Robertson, G. P., and S. K. Hamilton. 2015. “Long-Term Ecological Research at the Kellogg Biological Station LTER Site: Conceptual and Experimental Framework.” In The Ecology of Agricultural Landscapes: Long-Term Research on the Path to Sustainability, edited by S. K. Hamilton, J. E. Doll, and G. P. Robertson, 134–152. New York: Oxford University Press.
  • Salami, E., C. Barrado, and E. Pastor. 2014. “UAV Flight Experiments Applied to the Remote Sensing of Vegetated Areas.” Remote Sensing 6: 11051–11081. doi:10.3390/rs61111051.
  • Schlerf, M., and J. Hill. 2005. “Estimation of Forest Biophysical Characteristics through Coupled Atmosphere-Reflectance Model Inversion Using Hyperspectral Multi-Directional Remote Sensing Data – A Contribution to Future Forest Inventory Strategies.” Proceedings of the 3rd CHRIS/Proba Workshop, edited by H. Lacoste, Frascati, Italy: ESRIN, March 21-23. ESA SP-593. The Netherland: ESTEC.
  • Sensefly. 2017. Accessed 20 October 2017. https://www.sensefly.com/drones/ebee.html.
  • Simic, A., and J. M. Chen. 2008. “Refining a Hyperspectral and Multi-Angle Measurement Concept for Vegetation Structure Assessment.” Canadian Journal of Remote Sensing 34 (3): 174–191.
  • Simic, A., J. M. Chen, J. Freemantle, J. R. Miller, and J. Pisek. 2010. “Improving Clumping and LAI Algorithms Based on Multi-Angle Airborne and Ground Measurements.” IEEE Transactions on Geosciences and Remote Sensing 48 (4, 1): 1742–1759. doi:10.1109/TGRS.2009.2033383.
  • Simic, A., J. M. Chen, S. G. Leblanc, A. Dyk, H. Croft, and T. Han. 2014. “Testing the Top-Down Model Inversion Method of Estimating Leaf Reflectance Used to Retrieve Vegetation Biochemical Content within Empirical Approaches.” Ieee Jstars 7 (1): 92–104.
  • Simic, A., J. M. Chen, J. Liu, and F. Csillag. 2004. “Spatial Scaling of Net Primary Productivity Using Subpixel Information.” Remote Sensing of Environment 93: 246–258. doi:10.1016/j.rse.2004.07.008.
  • Simic, A., J. M. Chen, and T. L. Noland. 2011. “Retrieval of Forest Chlorophyll Content Using Canopy Structure Parameters Derived from Multi-Angle Data: The Measurement Concept of Combining Nadir Hyperspectral and Off-Nadir Multispectral Data.” International Journal of Remote Sensing 32 (20): 5621–5644. doi:10.1080/01431161.2010.507257.
  • Simic Milas, A., and R. K. Vincent. 2016. “Monitoring Landsat Vegetation Indices for Different Crop Treatments and Soil Chemistry.” International Journal of Remote Sensing 38 (1): 141–160. doi:10.1080/01431161.2016.1259680.
  • Smith, M. L., M. E. Martin, L. Plourde, and S. V. Ollinger. 2003. “Analysis of Hyperspectral Data for Estimation of Temperate Forest Canopy Nitrogen Concentration: Comparison between and Airborne (AVIRIS) and a Spaceborne (Hyperion) Sensor.” IEEE Transactions on Geoscience and Remote Sensing 41 (6): 1332–1337. doi:10.1109/TGRS.2003.813128.
  • Spectral Evolution. Accessed 20 November 2017. http://www.spectralevolution.com/
  • Spectrum Technology. Accessed 20 November 2017. https://www.specmeters.com/
  • Trout, T. J., and K. C. DeJonge. 2017. “Water Productivity of Maize in the US High Plains.” Irrigation Science. doi:10.1007/s00271-017-0540-1.
  • Urso, G. D., L. Dini, F. Vuolo, L. Alonso, and L. Guanter. 2004. “Retrieval of Leaf Area Index by Inverting Hyperspectral Multi-Angular CHRIS/PROBA Data from SPARC 2003.” Proceedings of the 2rd CHRIS/Proba Workshop, edited by H. Lacoste, Frascati, Italy: ESRIN, April 28-30. ESA SP-578. The Netherland: ESTEC.
  • Ustin, S. L., D. A. Roberts, J. A. Gamon, G. P. Asner, and R. O. Green. 2004. “Using Imaging Spectrometry to Study Ecosystem Processes and Properties.” BioScience 54 (6): 523–534. doi:10.1641/0006-3568(2004)054[0523:UISTSE]2.0.CO;2.
  • Verrelst, J., M. E. Schaepman, and J. G. P. W. Clevers. 2008. “A Modeling Approach for Studying Forest Chlorophyll Content in Relation to Canopy Composition.” The International Archives of the Photogrammetry, Remote Sensing, and Spatial Information Sciences XXXVII(B7): 25–30. Beijing.
  • Vuolo, F., L. Dini, and G. D’Urso. 2008. “Retrieval of Leaf Area Index from CHRIS/PROBA Data: An Analysis of the Directional and Spectral Information Content.” International Journal of Remote Sensing 29 (17–18): 5063–5072. doi:10.1080/01431160802036490.
  • Yu, C.-L., D. Hui, Q. Deng, J. Wang, K. Chandra Reddy, and S. Dennis. 2016. “Response of Corn Physiology and Yield to Six Agricultural Practices over Six Agricultural Practices over Three Years in Middle Tennessee.” Scientific Reports. Accessed 12 November 2017. https://www.openaire.eu/search/publication?articleId=dedup_wf_001::695285092da699d0f0de4c4f68fde614
  • Zarco-Tejada, P. J., J. R. Miller, G. H. Mohammed, T. L. Noland, and P. H. Sampson. 2001. “Scaling-Up and Model Inversion Methods with Narrow-Band Optical Indices for Chlorophyll Content Estimation in Closed Forest Canopies with Hyperspectral Data.” IEEE Transactions on Geoscience and Remote Sensing 39 (7): 1491–1507. doi:10.1109/36.934080.
  • Zhang, Y., J. M. Chen, J. R. Miller, and T. L. Noland. 2008. “Leaf Chlorophyll Content Retrieval from Airborne Hyperspectral Remote Imagery.” Remote Sensing of Environment 112: 3234–3247. doi:10.1016/j.rse.2008.04.005.

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