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Andrew E. Suyker
Person information
- affiliation: University of Nebraska-Lincoln, School of Natural Resources, Lincoln, NE, USA
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2020 – today
- 2024
- [j10]Tanessa C. Morris
, Trenton E. Franz
Effect of Biomass Water Dynamics in Cosmic-Ray Neutron Sensor Observations: A Long-Term Analysis of Maize-Soybean Rotation in Nebraska. Sensors 24(13): 4094 (2024) - 2022
- [j9]Rohit Nandan
Evaluating Optical Remote Sensing Methods for Estimating Leaf Area Index for Corn and Soybean. Remote. Sens. 14(21): 5301 (2022) - 2021
- [j8]Feng Gao
Towards Routine Mapping of Crop Emergence within the Season Using the Harmonized Landsat and Sentinel-2 Dataset. Remote. Sens. 13(24): 5074 (2021) - 2020
- [j7]Varaprasad Bandaru, Raghu Yaramasu, Koutilya PNVR, Jiaying He
PhenoCrop: An integrated satellite-based framework to estimate physiological growth stages of corn and soybeans. Int. J. Appl. Earth Obs. Geoinformation 92: 102188 (2020) - [j6]Gunnar Malek-Madani, Elizabeth Walter-Shea, Anthony L. Nguy-Robertson, Andrew E. Suyker, Timothy J. Arkebauer:
Modeling Gross Primary Production of Midwestern US Maize and Soybean Croplands with Satellite and Gridded Weather Data. Remote. Sens. 12(23): 3956 (2020)
2010 – 2019
- 2019
- [j5]Babak Safa, Timothy J. Arkebauer, Qiuming Zhu, Andy Suyker, Suat Irmak:
Net Ecosystem Exchange (NEE) simulation in maize using artificial neural networks. IFAC J. Syst. Control. 7: 100036 (2019) - [c2]Kaitlin Togliatti, Theodore Hartman, Timothy J. Arkebauer, Andrew E. Suyker, Andy VanLoocke
SMAP Vegetation Optical Depth is Directly Proportional to Crop Water in the US Corn Belt. IGARSS 2019: 5445-5448 - 2018
- [j4]Babak Safa, Timothy J. Arkebauer, Qiuming Zhu, Andy Suyker, Suat Irmak:
Latent heat and sensible heat flux simulation in maize using artificial neural networks. Comput. Electron. Agric. 154: 155-164 (2018) - [c1]John A. Gamon, Gabriel Hmimina
Imaging Spectrometry and Fluorometry in Support of Flex: What Can We Learn from Multi-Scale Experiments? IGARSS 2018: 3931-3934 - 2016
- [j3]Qinchuan Xin
Effects of the partitioning of diffuse and direct solar radiation on satellite-based modeling of crop gross primary production. Int. J. Appl. Earth Obs. Geoinformation 50: 51-63 (2016) - 2013
- [j2]Qinchuan Xin
A Production Efficiency Model-Based Method for Satellite Estimates of Corn and Soybean Yields in the Midwestern US. Remote. Sens. 5(11): 5926-5943 (2013)
2000 – 2009
- 2008
- [j1]Anatoly A. Gitelson, Andrés Viña
Synoptic Monitoring of Gross Primary Productivity of Maize Using Landsat Data. IEEE Geosci. Remote. Sens. Lett. 5(2): 133-137 (2008)
Coauthor Index
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