Landsat-8: Science and product vision for terrestrial global change research DP Roy, MA Wulder, TR Loveland, CE Woodcock, RG Allen, ... Remote sensing of Environment 145, 154-172, 2014 | 2424 | 2014 |
Current status of Landsat program, science, and applications MA Wulder, TR Loveland, DP Roy, CJ Crawford, JG Masek, ... Remote sensing of environment 225, 127-147, 2019 | 880 | 2019 |
An assessment of pre-and within-season remotely sensed variables for forecasting corn and soybean yields in the United States DM Johnson Remote Sensing of Environment 141, 116-128, 2014 | 451 | 2014 |
Toward mapping crop progress at field scales through fusion of Landsat and MODIS imagery F Gao, MC Anderson, X Zhang, Z Yang, JG Alfieri, WP Kustas, R Mueller, ... Remote Sensing of Environment 188, 9-25, 2017 | 434 | 2017 |
Land-surface phenologies from AVHRR using the discrete Fourier transform A Moody, DM Johnson Remote Sensing of Environment 75 (3), 305-323, 2001 | 413 | 2001 |
Assessing the evolution of soil moisture and vegetation conditions during the 2012 United States flash drought JA Otkin, MC Anderson, C Hain, M Svoboda, D Johnson, R Mueller, ... Agricultural and forest meteorology 218, 230-242, 2016 | 307 | 2016 |
Impacts of imagery temporal frequency on land-cover change detection monitoring RS Lunetta, DM Johnson, JG Lyon, J Crotwell Remote Sensing of Environment 89 (4), 444-454, 2004 | 279 | 2004 |
Fifty years of Landsat science and impacts MA Wulder, DP Roy, VC Radeloff, TR Loveland, MC Anderson, ... Remote Sensing of Environment 280, 113195, 2022 | 267 | 2022 |
The 2009 cropland data layer DM Johnson, R Mueller Photogramm. Eng. Remote Sens 76 (11), 1201-1205, 2010 | 258 | 2010 |
Measuring land-use and land-cover change using the US department of agriculture’s cropland data layer: Cautions and recommendations TJ Lark, RM Mueller, DM Johnson, HK Gibbs International journal of applied earth observation and geoinformation 62 …, 2017 | 204 | 2017 |
Impacts of vegetation dynamics on the identification of land-cover change in a biologically complex community in North Carolina, USA RS Lunetta, J Ediriwickrema, DM Johnson, JG Lyon, A McKerrow Remote Sensing of Environment 82 (2-3), 258-270, 2002 | 138 | 2002 |
A comprehensive assessment of the correlations between field crop yields and commonly used MODIS products DM Johnson International journal of applied earth observation and geoinformation 52, 65-81, 2016 | 132 | 2016 |
Assessing the variability of corn and soybean yields in central Iowa using high spatiotemporal resolution multi-satellite imagery F Gao, M Anderson, C Daughtry, D Johnson Remote Sensing 10 (9), 1489, 2018 | 99 | 2018 |
Pre-and within-season crop type classification trained with archival land cover information DM Johnson, R Mueller Remote Sensing of Environment 264, 112576, 2021 | 83 | 2021 |
A multi-resolution approach to national-scale cultivated area estimation of soybean LA King, B Adusei, SV Stehman, PV Potapov, XP Song, A Krylov, ... Remote Sensing of Environment 195, 13-29, 2017 | 82 | 2017 |
Intercomparison of soil moisture, evaporative stress, and vegetation indices for estimating corn and soybean yields over the US IE Mladenova, JD Bolten, WT Crow, MC Anderson, CR Hain, DM Johnson, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 77 | 2017 |
A 2010 map estimate of annually tilled cropland within the conterminous United States DM Johnson Agricultural Systems 114, 95-105, 2013 | 77 | 2013 |
Assessing within-field corn and soybean yield variability from WorldView-3, Planet, Sentinel-2, and Landsat 8 satellite imagery S Skakun, NI Kalecinski, MGL Brown, DM Johnson, EF Vermote, ... Remote Sensing 13 (5), 872, 2021 | 71 | 2021 |
Using the Landsat archive to map crop cover history across the United States DM Johnson Remote Sensing of Environment 232, 111286, 2019 | 69 | 2019 |
Fusion of moderate resolution earth observations for operational crop type mapping N Torbick, X Huang, B Ziniti, D Johnson, J Masek, M Reba Remote Sensing 10 (7), 1058, 2018 | 63 | 2018 |