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Full-Text Articles in Engineering
Evaluation Of The Uncertainty In Satellite-Based Crop State Variable Retrievals Due To Site And Growth Stage Specific Factors And Their Potential In Coupling With Crop Growth Models, Nathaniel Levitan, Yanghui Kang, Mutlu Özdogan, Vincenzo Magliulo, Paulo Castillo, Fred Moshary, Barry Gross
Evaluation Of The Uncertainty In Satellite-Based Crop State Variable Retrievals Due To Site And Growth Stage Specific Factors And Their Potential In Coupling With Crop Growth Models, Nathaniel Levitan, Yanghui Kang, Mutlu Özdogan, Vincenzo Magliulo, Paulo Castillo, Fred Moshary, Barry Gross
Publications and Research
Coupling crop growth models and remote sensing provides the potential to improve our understanding of the genotype x environment x management (G X E X M) variability of crop growth on a global scale. Unfortunately, the uncertainty in the relationship between the satellite measurements and the crop state variables across different sites and growth stages makes it diffcult to perform the coupling. In this study, we evaluate the effects of this uncertainty with MODIS data at the Mead, Nebraska Ameriflux sites (US-Ne1, US-Ne2, and US-Ne3) and accurate, collocated Hybrid-Maize (HM) simulations of leaf area index (LAI) and canopy light use …
Improving Retrievals Of Crop Vegetation Parameters From Remote Sensing Data, Nathaniel Levitan
Improving Retrievals Of Crop Vegetation Parameters From Remote Sensing Data, Nathaniel Levitan
Dissertations and Theses
Agricultural systems are difficult to model because crop growth is driven by the strongly nonlinear interaction of Genotype x Environment x Management (G x E x M) factors. Due to the nonlinearity in the interaction of these factors, the amount of data necessary to develop and utilize models to accurately predict the performance of agricultural systems at an operational scale is large. Satellite remote sensing provides the potential to vastly increase the amount of data available for modelling agricultural systems as a result of its high revisit time and spatial coverage. Unfortunately, there have been significant difficulties in deploying remote …