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Shawn C. Kefauver
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2020 – today
- 2024
- [j10]Thomas Vatter, Maria Barceló, Patricia Gjakoni, Guillem Segarra, M. Isabel Trillas, Íker Aranjuelo, Shawn C. Kefauver, José L. Araus:
Comparing high-cost and lower-cost remote sensing tools for detecting pre-symptomatic downy mildew (Pseudoperonospora cubensis) infections in cucumbers. Comput. Electron. Agric. 218: 108736 (2024) - 2023
- [j9]Joel Segarra, José Luis Araus, Shawn C. Kefauver:
Suitability mapping and management monitoring in Castilian organic and conventional wheat fields with Sentinel-2 and spatial data. Ecol. Informatics 78: 102347 (2023) - 2022
- [j8]Joel Segarra, José Luis Araus, Shawn C. Kefauver
:
Farming and Earth Observation: Sentinel-2 data to estimate within-field wheat grain yield. Int. J. Appl. Earth Obs. Geoinformation 107: 102697 (2022) - [j7]Maria Luisa Buchaillot, Jill E. Cairns
Regional Monitoring of Fall Armyworm (FAW) Using Early Warning Systems. Remote. Sens. 14(19): 5003 (2022) - 2021
- [c7]Joel Segarra, José Luis Araus, Shawn C. Kefauver:
Machine Learning Matching of Sentinel-2 and GPS Combine Harvester Data to Estimate Within-Field Wheat Grain Yield. IGARSS 2021: 6288-6291 - 2020
- [j6]Joel Segarra, Jon González-Torralba
Estimating Wheat Grain Yield Using Sentinel-2 Imagery and Exploring Topographic Features and Rainfall Effects on Wheat Performance in Navarre, Spain. Remote. Sens. 12(14): 2278 (2020) - [c6]Shawn C. Kefauver
Open-Source Software for Crop Physiological Assessments Using High Resolution RGB Images. IGARSS 2020: 4359-4362 - [c5]Maria Luisa Buchaillot, Jill E. Cairns, Esnath Hamadziripi, Kenneth Wilson, David Hughes, John Chelal, Peter McCloskey, Annalyse Kehs, Nicholas Clinton, Keith Cressman, José Luis Araus, Shawn C. Kefauver
Multi-Scale Remote Sensing for Fall Armyworm Monitoring and Early Warning Systems. IGARSS 2020: 4886-4889
2010 – 2019
- 2019
- [j5]Jose Armando Fernandez-Gallego
Automatic Wheat Ear Counting Using Thermal Imagery. Remote. Sens. 11(7): 751 (2019) - [j4]Adrian Gracia-Romero
UAV and Ground Image-Based Phenotyping: A Proof of Concept with Durum Wheat. Remote. Sens. 11(10): 1244 (2019) - [j3]Maria Luisa Buchaillot
Evaluating Maize Genotype Performance under Low Nitrogen Conditions Using RGB UAV Phenotyping Techniques. Sensors 19(8): 1815 (2019) - 2018
- [j2]Adrian Gracia-Romero
Phenotyping Conservation Agriculture Management Effects on Ground and Aerial Remote Sensing Assessments of Maize Hybrids Performance in Zimbabwe. Remote. Sens. 10(2): 349 (2018) - [c4]Shawn C. Kefauver
Challenges and Bottlenecks in VAV Phenotyping. IGARSS 2018: 8240-8243 - 2015
- [c3]Shawn C. Kefauver
Linking OMI HCHO and MODIS PRI satellite data with BVOCS emissions in NE Spain. IGARSS 2015: 2661-2664 - 2014
- [j1]José Andrés Moreno Ruiz
The Synergy of the 0.05° (~5km) AVHRR Long-Term Data Record (LTDR) and Landsat TM Archive to Map Large Fires in the North American Boreal Region From 1984 to 1998. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(4): 1157-1166 (2014) - 2012
- [c2]Shawn C. Kefauver
Applications of hyperspectral remote sensing and GIS for assessing forest health and air pollution. IGARSS 2012: 3379-3382
2000 – 2009
- 2006
- [c1]Shawn C. Kefauver
Remote Sensing of Tropospheric Ozone Impacts on Bio-Indicator Species Using Imaging Spectroscopy. IGARSS 2006: 391-394
Coauthor Index
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