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ORCIDDavid M. Johnson 0002
Person information
- affiliation: USDA, National Agricultural Statistics Service, Washington, DC, USA
Other persons with the same name
- David M. Johnson 0001
![[0000-0002-0861-3528]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0861-3528")
— University of Michigan, Ann Arbor, MI, USA (and 1 more) - David M. Johnson 0003 — Georgia Tech, Technology Policy and Assessment Center, Atlanta, GA, USA
- David M. Johnson 0004 — Mayo Clinic, Division of Engineering, Rochester, MN, USA
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Journal Articles
- 2022
[j8]Luca Sartore, Arthur Rosales, David M. Johnson, Clifford H. Spiegelman:
Assessing machine leaning algorithms on crop yield forecasts using functional covariates derived from remotely sensed data. Comput. Electron. Agric. 194: 106704 (2022)- 2021
- [j7]Sergii Skakun, Natacha I. Kalecinski, Meredith G. L. Brown, David M. Johnson, Eric F. Vermote, Jean-Claude Roger, Belen Franch:
Assessing within-Field Corn and Soybean Yield Variability from WorldView-3, Planet, Sentinel-2, and Landsat 8 Satellite Imagery. Remote. Sens. 13(5): 872 (2021) - [j6]David M. Johnson, Arthur Rosales, Richard M. Mueller, Curt Reynolds, Ronald Frantz, Assaf Anyamba, Ed Pak, Compton Tucker:
USA Crop Yield Estimation with MODIS NDVI: Are Remotely Sensed Models Better than Simple Trend Analyses? Remote. Sens. 13(21): 4227 (2021) - [j5]Feng Gao, Martha C. Anderson, David M. Johnson, Robert Seffrin, Brian D. Wardlow, Andy Suyker, Chunyuan Diao, Dawn M. Browning:
Towards Routine Mapping of Crop Emergence within the Season Using the Harmonized Landsat and Sentinel-2 Dataset. Remote. Sens. 13(24): 5074 (2021) - 2018
- [j4]Feng Gao, Martha C. Anderson, Craig S. T. Daughtry, David M. Johnson:
Assessing the Variability of Corn and Soybean Yields in Central Iowa Using High Spatiotemporal Resolution Multi-Satellite Imagery. Remote. Sens. 10(9): 1489 (2018) - 2017
- [j3]Tyler J. Lark, Richard M. Mueller, David M. Johnson, Holly K. Gibbs:
Measuring land-use and land-cover change using the U.S. department of agriculture's cropland data layer: Cautions and recommendations. Int. J. Appl. Earth Obs. Geoinformation 62: 224-235 (2017) - [j2]Iliana E. Mladenova, John D. Bolten, Wade T. Crow, Martha C. Anderson, Christopher R. Hain, David M. Johnson, Rick Mueller:
Intercomparison of Soil Moisture, Evaporative Stress, and Vegetation Indices for Estimating Corn and Soybean Yields Over the U.S. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(4): 1328-1343 (2017) - 2016
- [j1]David M. Johnson:
A comprehensive assessment of the correlations between field crop yields and commonly used MODIS products. Int. J. Appl. Earth Obs. Geoinformation 52: 65-81 (2016)
Coauthor Index
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