David M. Johnson

According to our database, David M. Johnson authored at least 8 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Assessing machine leaning algorithms on crop yield forecasts using functional covariates derived from remotely sensed data.

Luca Sartore, Arthur Rosales, David M. Johnson, Clifford H. Spiegelman

Comput. Electron. Agric., 2022

2021

Assessing within-Field Corn and Soybean Yield Variability from WorldView-3, Planet, Sentinel-2, and Landsat 8 Satellite Imagery.

Sergii Skakun, Natacha I. Kalecinski, Meredith G. L. Brown, David M. Johnson, Eric F. Vermote, Jean-Claude Roger, Belen Franch

Remote. Sens., 2021

USA Crop Yield Estimation with MODIS NDVI: Are Remotely Sensed Models Better than Simple Trend Analyses?

David M. Johnson, Arthur Rosales, Richard M. Mueller, Curt Reynolds, Ronald Frantz, Assaf Anyamba, Ed Pak, Compton Tucker

Remote. Sens., 2021

Towards Routine Mapping of Crop Emergence within the Season Using the Harmonized Landsat and Sentinel-2 Dataset.

Feng Gao, Martha C. Anderson, David M. Johnson, Robert Seffrin, Brian D. Wardlow, Andy Suyker, Chunyuan Diao, Dawn M. Browning

Remote. Sens., 2021

2018

Assessing the Variability of Corn and Soybean Yields in Central Iowa Using High Spatiotemporal Resolution Multi-Satellite Imagery.

Feng Gao, Martha C. Anderson, Craig S. T. Daughtry, David M. Johnson

Remote. Sens., 2018

2017

Intercomparison of Soil Moisture, Evaporative Stress, and Vegetation Indices for Estimating Corn and Soybean Yields Over the U.S.

Iliana E. Mladenova, John D. Bolten, Wade T. Crow, Martha C. Anderson, Christopher R. Hain, David M. Johnson, Rick Mueller

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Measuring land-use and land-cover change using the U.S. department of agriculture's cropland data layer: Cautions and recommendations.

Tyler J. Lark, Richard M. Mueller, David M. Johnson, Holly K. Gibbs

Int. J. Appl. Earth Obs. Geoinformation, 2017

2016

A comprehensive assessment of the correlations between field crop yields and commonly used MODIS products.

David M. Johnson

Int. J. Appl. Earth Obs. Geoinformation, 2016