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David M Johnson
David M Johnson
USDA National Agricultural Statistics Service
在 usda.gov 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
24242014
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
8802019
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
4512014
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
4342017
Land-surface phenologies from AVHRR using the discrete Fourier transform
A Moody, DM Johnson
Remote Sensing of Environment 75 (3), 305-323, 2001
4132001
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
3072016
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
2792004
Fifty years of Landsat science and impacts
MA Wulder, DP Roy, VC Radeloff, TR Loveland, MC Anderson, ...
Remote Sensing of Environment 280, 113195, 2022
2672022
The 2009 cropland data layer
DM Johnson, R Mueller
Photogramm. Eng. Remote Sens 76 (11), 1201-1205, 2010
2582010
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
2042017
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
1382002
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
1322016
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
992018
Pre-and within-season crop type classification trained with archival land cover information
DM Johnson, R Mueller
Remote Sensing of Environment 264, 112576, 2021
832021
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
822017
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
772017
A 2010 map estimate of annually tilled cropland within the conterminous United States
DM Johnson
Agricultural Systems 114, 95-105, 2013
772013
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
712021
Using the Landsat archive to map crop cover history across the United States
DM Johnson
Remote Sensing of Environment 232, 111286, 2019
692019
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
632018
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