Brian D. Wardlow, Ph.D. - Publications

Affiliations: 
2005 University of Kansas, Lawrence, KS, United States 
Area:
Physical Geography, Remote Sensing, Agronomy Agriculture, Geography

58 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Birru G, Shiferaw A, Tadesse T, Wardlow B, Jin VL, Schmer M, Awada T, Kharel T, Iqbal J. Cover crop performance under a changing climate in continuous corn system over nebraska. Journal of Environmental Quality. PMID 37889790 DOI: 10.1002/jeq2.20526  0.316
2020 Li Y, Guan K, Peng B, Franz TE, Wardlow B, Pan M. Quantifying irrigation cooling benefits to maize yield in the US Midwest. Global Change Biology. PMID 32167221 DOI: 10.1111/Gcb.15002  0.392
2020 Kulkarni SS, Wardlow BD, Bayissa YA, Tadesse T, Svoboda MD, Gedam SS. Developing a Remote Sensing-Based Combined Drought Indicator Approach for Agricultural Drought Monitoring over Marathwada, India Remote Sensing. 12: 2091. DOI: 10.3390/Rs12132091  0.473
2020 Yoon D, Nam W, Lee H, Hong E, Feng S, Wardlow BD, Tadesse T, Svoboda MD, Hayes MJ, Kim D. Agricultural Drought Assessment in East Asia Using Satellite-Based Indices Remote Sensing. 12: 444. DOI: 10.3390/Rs12030444  0.443
2020 Zeng L, Wardlow BD, Xiang D, Hu S, Li D. A review of vegetation phenological metrics extraction using time-series, multispectral satellite data Remote Sensing of Environment. 237: 111511. DOI: 10.1016/J.Rse.2019.111511  0.416
2020 Zhou W, Guan K, Peng B, Shi J, Jiang C, Wardlow B, Pan M, Kimball JS, Franz TE, Gentine P, He M, Zhang J. Connections between the hydrological cycle and crop yield in the rainfed U.S. Corn Belt Journal of Hydrology. 590: 125398. DOI: 10.1016/J.Jhydrol.2020.125398  0.406
2020 Bandaru V, Yaramasu R, Pnvr K, He J, Fernando S, Sahajpal R, Wardlow BD, Suyker A, Justice C. PhenoCrop: An integrated satellite-based framework to estimate physiological growth stages of corn and soybeans International Journal of Applied Earth Observation and Geoinformation. 92: 102188. DOI: 10.1016/J.Jag.2020.102188  0.415
2020 Franz TE, Pokal S, Gibson JP, Zhou Y, Gholizadeh H, Tenorio FA, Rudnick D, Heeren D, McCabe M, Ziliani M, Jin Z, Guan K, Pan M, Gates J, Wardlow B. The role of topography, soil, and remotely sensed vegetation condition towards predicting crop yield Field Crops Research. 252: 107788. DOI: 10.1016/J.Fcr.2020.107788  0.488
2020 Jeffries GR, Griffin TS, Fleisher DH, Naumova EN, Koch M, Wardlow BD. Mapping sub-field maize yields in Nebraska, USA by combining remote sensing imagery, crop simulation models, and machine learning Precision Agriculture. 21: 1-17. DOI: 10.1007/S11119-019-09689-Z  0.565
2019 Podebradska M, Wylie BK, Hayes MJ, Wardlow BD, Bathke DJ, Bliss NB, Dahal D. Monitoring Drought Impact on Annual Forage Production in Semi-Arid Grasslands: A Case Study of Nebraska Sandhills Remote Sensing. 11: 2106. DOI: 10.3390/Rs11182106  0.332
2019 Hua L, Wang H, Sui H, Wardlow BD, Hayes MJ, Wang J. Mapping the Spatial-Temporal Dynamics of Vegetation Response Lag to Drought in a Semi-Arid Region Remote Sensing. 11: 1873. DOI: 10.3390/Rs11161873  0.343
2019 Bayissa YA, Tadesse T, Svoboda M, Wardlow B, Poulsen C, Swigart J, Andel SJV. Developing a satellite-based combined drought indicator to monitor agricultural drought: a case study for Ethiopia Giscience & Remote Sensing. 56: 718-748. DOI: 10.1080/15481603.2018.1552508  0.393
2018 Bijaber N, Hadani DE, Saidi M, Svoboda MD, Wardlow BD, Hain CR, Poulsen CC, Yessef M, Rochdi A. Developing a remotely sensed drought monitoring indicator for Morocco. Geosciences. 8. PMID 32802481 DOI: 10.3390/geosciences8020055  0.392
2018 Trnka M, Hayes M, Jurečka F, Bartošová L, Anderson M, Brázdil R, Brown J, Camarero JJ, Cudlín P, Dobrovolný P, Eitzinger J, Feng S, Finnessey T, Gregorič G, Havlik P, ... ... Wardlow BD, et al. Priority questions in multidisciplinary drought research Climate Research. 75: 241-260. DOI: 10.3354/Cr01509  0.353
2018 Nam W, Tadesse T, Wardlow BD, Hayes MJ, Svoboda MD, Hong E, Pachepsky YA, Jang M. Developing the vegetation drought response index for South Korea (VegDRI-SKorea) to assess the vegetation condition during drought events International Journal of Remote Sensing. 39: 1548-1574. DOI: 10.1080/01431161.2017.1407047  0.449
2018 Mariano DA, Santos CACd, Wardlow BD, Anderson MC, Schiltmeyer AV, Tadesse T, Svoboda MD. Use of remote sensing indicators to assess effects of drought and human-induced land degradation on ecosystem health in Northeastern Brazil Remote Sensing of Environment. 213: 129-143. DOI: 10.1016/J.Rse.2018.04.048  0.424
2018 Cai Y, Guan K, Peng J, Wang S, Seifert C, Wardlow B, Li Z. A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach Remote Sensing of Environment. 210: 35-47. DOI: 10.1016/J.Rse.2018.02.045  0.466
2018 Yang Y, Anderson MC, Gao F, Wardlow BD, Hain CR, Otkin JA, Alfieri J, Yang Y, Sun L, Dulaney W. Field-scale mapping of evaporative stress indicators of crop yield: An application over Mead, NE, USA Remote Sensing of Environment. 210: 387-402. DOI: 10.1016/J.Rse.2018.02.020  0.497
2017 Demisse GB, Tadesse T, Atnafu S, Hill S, Wardlow BD, Bayissa Y, Shiferaw A. Information Mining from Heterogeneous Data Sources: A Case Study on Drought Predictions Information-An International Interdisciplinary Journal. 8: 79. DOI: 10.3390/Info8030079  0.365
2017 Aegerter C, Wang J, Ge C, Irmak S, Oglesby R, Wardlow BD, Yang H, You J, Shulski M. Mesoscale Modeling of the Meteorological Impacts of Irrigation during the 2012 Central Plains Drought Journal of Applied Meteorology and Climatology. 56: 1259-1283. DOI: 10.1175/Jamc-D-16-0292.1  0.421
2017 Tadesse T, Champagne C, Wardlow BD, Hadwen TA, Brown JF, Demisse GB, Bayissa YA, Davidson AM. Building the vegetation drought response index for Canada (VegDRI-Canada) to monitor agricultural drought: first results Giscience & Remote Sensing. 54: 230-257. DOI: 10.1080/15481603.2017.1286728  0.435
2017 Zambrano F, Wardlow B, Tadesse T, Lillo-Saavedra M, Lagos O. Evaluating satellite-derived long-term historical precipitation datasets for drought monitoring in Chile Atmospheric Research. 186: 26-42. DOI: 10.1016/J.Atmosres.2016.11.006  0.467
2016 Ambika AK, Wardlow B, Mishra V. Remotely sensed high resolution irrigated area mapping in India for 2000 to 2015. Scientific Data. 3: 160118. PMID 27996974 DOI: 10.1038/Sdata.2016.118  0.453
2016 Wang J, Kessner AL, Aegerter C, Sharma A, Judd L, Wardlow BD, You J, Shulski M, Irmak S, Kilic A, Zeng J. A Multi-sensor View of the 2012 Central Plains Drought from Space Frontiers in Environmental Science. 4. DOI: 10.3389/Fenvs.2016.00045  0.429
2016 Zeng L, Wardlow BD, Wang R, Shan J, Tadesse T, Hayes MJ, Li D. A hybrid approach for detecting corn and soybean phenology with time-series MODIS data Remote Sensing of Environment. 181: 237-250. DOI: 10.1016/J.Rse.2016.03.039  0.444
2016 Otkin JA, Anderson MC, Hain C, Svoboda M, Johnson D, Mueller R, Tadesse T, Wardlow B, Brown J. Assessing the evolution of soil moisture and vegetation conditions during the 2012 United States flash drought Agricultural and Forest Meteorology. 218: 230-242. DOI: 10.1016/J.Agrformet.2015.12.065  0.417
2015 Zeng L, Wardlow BD, Tadesse T, Shan J, Hayes MJ, Li D, Xiang D. Estimation of daily air temperature based on MODIS land surface temperature products over the Corn Belt in the US Remote Sensing. 7: 951-970. DOI: 10.3390/Rs70100951  0.326
2015 Tadesse T, Wardlow BD, Brown JF, Svoboda MD, Hayes MJ, Fuchs B, Gutzmer D. Assessing the vegetation condition impacts of the 2011 drought across the U.S. southern great plains using the vegetation drought response index (VegDRI) Journal of Applied Meteorology and Climatology. 54: 153-169. DOI: 10.1175/Jamc-D-14-0048.1  0.462
2015 Otkin JA, Shafer M, Svoboda M, Wardlow B, Anderson MC, Hain C, Basara J. Facilitating the use of drought early warning information through interactions with agricultural stakeholders Bulletin of the American Meteorological Society. 96: 1073-1078. DOI: 10.1175/Bams-D-14-00219.1  0.362
2015 Trnka M, Brázdil R, Možný M, Štěpánek P, Dobrovolný P, Zahradníček P, Balek J, Semerádová D, Dubrovský M, Hlavinka P, Eitzinger J, Wardlow B, Svoboda M, Hayes M, Žalud Z. Soil moisture trends in the Czech Republic between 1961 and 2012 International Journal of Climatology. 35: 3733-3747. DOI: 10.1002/Joc.4242  0.414
2015 AghaKouchak A, Farahmand A, Melton FS, Teixeira J, Anderson MC, Wardlow BD, Hain CR. Remote sensing of drought: Progress, challenges and opportunities Reviews of Geophysics. 53: 452-480. DOI: 10.1002/2014Rg000456  0.381
2014 Harms S, Tadesse T, Wardlow BD. Improving drought risk modelling: using multiple periods of satellite data with ensembles of data mining algorithms International Journal of Society Systems Science. 6: 143. DOI: 10.1504/Ijsss.2014.062438  0.321
2014 Wardlow BD, Callahan K. A multi-scale accuracy assessment of the MODIS irrigated agriculture data-set (MIrAD) for the state of Nebraska, USA Giscience & Remote Sensing. 51: 575-592. DOI: 10.1080/15481603.2014.952546  0.491
2014 Hunt ED, Svoboda M, Wardlow B, Hubbard K, Hayes M, Arkebauer T. Monitoring the effects of rapid onset of drought on non-irrigated maize with agronomic data and climate-based drought indices Agricultural and Forest Meteorology. 191: 1-11. DOI: 10.1016/J.Agrformet.2014.02.001  0.434
2013 Anderson MC, hain C, Otkin J, Zhan X, Mo K, Svoboda M, Wardlow B, Pimstein A. An intercomparison of drought indicators based on thermal remote sensing and NLDAS-2 simulations with U.S. drought monitor classifications Journal of Hydrometeorology. 14: 1035-1056. DOI: 10.1175/Jhm-D-12-0140.1  0.424
2013 Trnka M, Kersebaum KC, Eitzinger J, Hayes M, Hlavinka P, Svoboda M, Dubrovský M, Semerádová D, Wardlow BD, Pokorný E, Možný M, Wilhite DA, Žalud Z. Consequences of climate change for the soil climate in Central Europe and the central plains of the United States Climatic Change. 120: 405-418. DOI: 10.1007/S10584-013-0786-4  0.352
2012 Swain S, Rundquist D, Arkebauer TJ, Narumalani S, Wardlow B. Non-invasive estimation of relative water content in soybean leaves using infrared thermography Israel Journal of Plant Sciences. 60: 25-36. DOI: 10.1560/Ijps.60.1-2.25  0.331
2012 Sakamoto T, Gitelson AA, Nguy-Robertson AL, Arkebauer TJ, Wardlow BD, Suyker AE, Verma SB, Shibayama M. An alternative method using digital cameras for continuous monitoring of crop status Agricultural and Forest Meteorology. 154: 113-126. DOI: 10.1016/J.Agrformet.2011.10.014  0.459
2011 Swain S, Wardlow B, Narumalani S, Tadesse T, Callahan K. Assessment of vegetation response to drought in nebraska using Terra-MODIS land surface temperature and normalized difference vegetation index Giscience and Remote Sensing. 48: 432-455. DOI: 10.2747/1548-1603.48.3.432  0.462
2011 Anderson MC, Hain C, Wardlow B, Pimstein A, Mecikalski JR, Kustas WP. Evaluation of drought indices based on Thermal remote sensing of evapotranspiration over the continental United States Journal of Climate. 24: 2025-2044. DOI: 10.1175/2010Jcli3812.1  0.456
2011 Sakamoto T, Gitelson AA, Wardlow BD, Verma SB, Suyker AE. Estimating daily gross primary production of maize based only on MODIS WDRVI and shortwave radiation data Remote Sensing of Environment. 115: 3091-3101. DOI: 10.1016/J.Rse.2011.06.015  0.439
2011 Sakamoto T, Gitelson AA, Wardlow BD, Arkebauer TJ, Verma SB, Suyker AE, Shibayama M. Application of day and night digital photographs for estimating maize biophysical characteristics Precision Agriculture. 13: 285-301. DOI: 10.1007/S11119-011-9246-1  0.43
2010 Masialeti I, Egbert S, Wardlow BD. A Comparative Analysis of Phenological Curves for Major Crops in Kansas Giscience & Remote Sensing. 47: 241-259. DOI: 10.2747/1548-1603.47.2.241  0.404
2010 Tadesse T, Wardlow B, Hayes M, Svoboda M, Brown J. The vegetation outlook (VegOut): A new method for predicting vegetation seasonal greenness Giscience and Remote Sensing. 47: 25-52. DOI: 10.2747/1548-1603.47.1.25  0.466
2010 Albright TP, Pidgeon AM, Rittenhouse CD, Clayton MK, Wardlow BD, Flather CH, Culbert PD, Radeloff VC. Combined effects of heat waves and droughts on avian communities across the conterminous United States Ecosphere. 1. DOI: 10.1890/Es10-00057.1  0.346
2010 Albright TP, Pidgeon AM, Rittenhouse CD, Clayton MK, Flather CH, Culbert PD, Wardlow BD, Radeloff VC. Effects of drought on avian community structure Global Change Biology. 16: 2158-2170. DOI: 10.1111/J.1365-2486.2009.02120.X  0.373
2010 Wardlow BD, Egbert SL. A comparison of MODIS 250-m EVI and NDVI data for crop mapping: a case study for southwest Kansas Journal of Remote Sensing. 31: 805-830. DOI: 10.1080/01431160902897858  0.521
2010 Sakamoto T, Wardlow BD, Gitelson AA, Verma SB, Suyker AE, Arkebauer TJ. A Two-Step Filtering approach for detecting maize and soybean phenology with time-series MODIS data Remote Sensing of Environment. 114: 2146-2159. DOI: 10.1016/J.Rse.2010.04.019  0.398
2008 Brown JF, Wardlow BD, Tadesse T, Hayes MJ, Reed BC. The Vegetation Drought Response Index (VegDRI): A new integrated approach for monitoring drought stress in vegetation Giscience and Remote Sensing. 45: 16-46. DOI: 10.2747/1548-1603.45.1.16  0.453
2008 Tadesse T, Haile M, Senay G, Wardlow BD, Knutson CL. The need for integration of drought monitoring tools for proactive food security management in sub-Saharan Africa Natural Resources Forum. 32: 265-279. DOI: 10.1111/J.1477-8947.2008.00211.X  0.31
2008 Gu Y, Hunt E, Wardlow B, Basara JB, Brown JF, Verdin JP. Evaluation of MODIS NDVI and NDWI for vegetation drought monitoring using Oklahoma Mesonet soil moisture data Geophysical Research Letters. 35: 1-5. DOI: 10.1029/2008Gl035772  0.387
2008 Wardlow BD, Egbert SL. Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the U.S. Central Great Plains Remote Sensing of Environment. 112: 1096-1116. DOI: 10.1016/J.Rse.2007.07.019  0.517
2007 Brown JC, Jepson WE, Kastens JH, Wardlow BD, Lomas JM, Price KP. Multitemporal, Moderate-Spatial-Resolution Remote Sensing of Modern Agricultural Production and Land Modification in the Brazilian Amazon Giscience & Remote Sensing. 44: 117-148. DOI: 10.2747/1548-1603.44.2.117  0.381
2007 Gitelson AA, Wardlow BD, Keydan GP, Leavitt B. An evaluation of MODIS 250-m data for green LAI estimation in crops Geophysical Research Letters. 34. DOI: 10.1029/2007Gl031620  0.444
2007 Gu Y, Brown JF, Verdin JP, Wardlow B. A five‐year analysis of MODIS NDVI and NDWI for grassland drought assessment over the central Great Plains of the United States Geophysical Research Letters. 34: 1-6. DOI: 10.1029/2006Gl029127  0.423
2007 Wardlow BD, Egbert SL, Kastens JH. Analysis of time-series MODIS 250 m vegetation index data for crop classification in the U.S. Central Great Plains Remote Sensing of Environment. 108: 290-310. DOI: 10.1016/J.Rse.2006.11.021  0.531
2006 Wardlow BD, Kastens JH, Egbert SL. Using USDA Crop Progress Data for the Evaluation of Greenup Onset Date Calculated from MODIS 250-Meter Data Photogrammetric Engineering and Remote Sensing. 72: 1225-1234. DOI: 10.14358/Pers.72.11.1225  0.479
2003 Wardlow BD, Egbert SL. A State-Level Comparative Analysis of the GAP and NLCD Land-Cover Data Sets Photogrammetric Engineering and Remote Sensing. 69: 1387-1397. DOI: 10.14358/Pers.69.12.1387  0.402
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