Wintertime satellite imagery of Maryland farmland shows areas with higher amounts of green vegetation in deeper red colors. Bare fallow fields are distinguishable from cover crops and winter cereal crops, and evergreen forest is distinguishable from deciduous forest.
Wells Dean Hively, Phd
Dr. W. Dean Hively is a Research Physical Scientist GS-14 with the USGS Lower Mississippi-Gulf Water Science Center, where he leads a task titled 'Understanding Agricultural Conservation Practices.'
Dean is posted to the USDA Agricultural Research Service, Hydrology and Remote Sensing Laboratory, in Beltsville, Maryland, where leads a team of researchers investigating the performance of agricultural conservation practices relative to environmental farm management and water quality outcomes.
His research uses a combination of satellite and proximal multispectral and hyperspectral sensors, along with on-farm sampling and access to farm management records, to map and evaluate the plant biomass, nitrogen content, and vegetative ground cover associated with winter cover cropped fields. Separate toolkits are developed using privacy protected datasets (farm management practice impacts on cover crop performance) and using public datasets (wintertime vegetative groundcover by crop type). The resulting information informs adaptive management of conservation resources by stakeholders in Maryland, Delaware, Pennsylvania, and Missouri, and contributes to farm decision support tools developed by the Precision Sustainable Agriculture network.
Additionally, the team uses shortwave infrared (SWIR) reflectance data from the Worldview 3, PRISMA, and EMIT satellites to measure lignocellulose absorption features and map the distribution of crop residue and tillage intensity in the agricultural landscape. This work has informed spectral requirements for non-photosynthetic bands for the Landsat Next mission, scheduled to launch around 2030.
Dr. Hively’s work is principally supported by the USGS Land Change Science program within the Land Resources Mission Area, with additional funding from the USGS Priority Ecosystem Services program, USDA Conservation Effects Assessment Project (CEAP), NASA ACRES, NASA ACRES, NASA Carbon Monitoring Systems, Maryland Department of Agriculture, Missouri State University, and Pennsylvania Stroud Water Science Center.
Professional Experience
Research Physical Scientist, 2017 –present, United States Geological Survey (USGS), Lower Mississippi-Gulf Water Science Center, Beltsville, MD.
Research Physical Scientist, 2009 – 2016, United States Geological Survey (USGS), Eastern Geographic Science Center, Reston, VA.
Postdoctoral Soil Scientist, 2005 – 2009, United States Department of Agriculture - Agricultural Research Service (ARS), Hydrology and Remote Sensing Laboratory, Beltsville, MD.
Postdoctoral Associate, 2004 – 2005, Cornell Soil Health Laboratory, Department of Crop and Soil Science, Cornell University.
Consulting Scientist, Part time, 2002 – 2005, New York State Water Resources Institute.
Farm Worker, part and full time, 1996 - 2000 and 2003 – 2004, Potenza Organic Farms, Trumansburg, N.Y.
Field Educator, part-time, 2000 – 2002, Black Locust Initiative, Trumansburg, N.Y.
Coordinator, part time, 1996 – 1998, Cornell Sustainable Agriculture and Food Systems Seminar Series.
Agroforestry Extension Agent, 1991 – 1993, U.S. Peace Corps, Senegal, West Africa.
Education and Certifications
Ph.D. 2004. Cornell University Department of Natural Resources. Major in natural resources, minors in soil science and biological and environmental engineering
Masters of Science. 1998. Cornell University Department of Soil, Crop and Atmospheric Sciences. Major in crop science, minor in soil science.
Bachelor of Arts. 1990. Harvard University. Major in biology, focus on plant physiology.
Affiliations and Memberships*
Science Team Member, NASA Carbon Monitoring Systems. 2023-2025.
Remote Sensing Program Lead, USDA Precision Sustainable Agriculture initiative. 2020 – present.
Expert panel lead for non-photosynthetic vegetation, NASA/USGS Sustainable Land Imaging (SLI) Landsat Next spectral Expert Review for agriculture, cryosphere and geology. 2020-21.
Northeast Cover Crop Council, Board member, 2017-present
Adjunct Professor, Department of Geography, University of Maryland, 2010-present
Editorial Board, Remote Sensing Journal, January 2020 – 2023
Northeast Sustainable Agriculture Research and Education (NE SARE) Administrative Council, 2013-2019, NE SARE Executive Council, 2015-2019
Wangari Gardens, Bloomingdale, Washington, DC, 2013-2018
Chesapeake Bay Program Cover Crop Expert Panel. 2012-2014
Anacostia Watershed Society Stewardship Committee, 2010-2016
Honors and Awards
USDA Intern Hero Award, first place. 2019.
National award for “Outstanding Leadership in Collaborative Problem Solving,” from the U.S. Environmental Protection Agency, 2016
Region III Bronze Medal award from the U.S. Environmental Protection Agency, 2015.
Remote Sensing Best Paper for the Year 2014
Editor’s Citation for Excellence in Manuscript Review, 2005, Journal of Environmental Quality.
Common Good City Farm, Ledroit Park, Washington, DC, 2010-2012
USEPA Chesapeake Bay Program Agricultural Working Group, 2011-2014; Nutrient Subcommittee, 2008 – 2010
Science and Products
Providing information on the implementation of agricultural practices in the Chesapeake Bay watershed
Winter cover crop biomass sampling at the Beltsville Agricultural Research Center, 2019-2021, with corresponding Sentinel-1 and Sentinel-2 derived indices and metrics
Reflectance spectra of agricultural field conditions supporting remote sensing evaluation of non-photosynthetic vegetation cover (ver. 1.1, November 2022)
WorldView-3 satellite imagery and crop residue field data collection, Talbot County, MD, May 2015
Aggregated Data Records Describing USDA Conservation Practices Implemented Within the Chesapeake Bay Watershed
Climate, crop rotation, and stream flow data used to run the SWAT model in the Tuckahoe and Greensboro subwatersheds of the Choptank River watershed, Maryland.
Wintertime satellite imagery of Maryland farmland shows areas with higher amounts of green vegetation in deeper red colors. Bare fallow fields are distinguishable from cover crops and winter cereal crops, and evergreen forest is distinguishable from deciduous forest.
Intercomparison of same-day remote sensing data for measuring winter cover crop biophysical traits
Atmospheric correction intercomparison of hyperspectral and multispectral imagery over agricultural study sites
Comparing NISAR (using Sentinel-1), USDA/NASS CDL, and ground truth crop/non-crop areas in an urban agricultural region
Integration of remote sensing and field observations in evaluating DSSAT model for estimating maize and soybean growth and yield in Maryland, USA
Near real-time detection of winter cover crop termination using harmonized Landsat and Sentinel-2 (HLS) to support ecosystem assessment
Optimizing Landsat Next shortwave infrared bands for crop residue characterization
Remote sensing evaluation of winter cover crop springtime performance and the impact of delayed termination
Integration of satellite-based optical and synthetic aperture radar imagery to estimate winter cover crop performance in cereal grasses
Evaluation of SWIR crop residue bands for the Landsat Next mission
Sentinel-2 and WorldView-3 atmospheric correction and signal normalization based on ground-truth spectroradiometric measurements
Detecting cover crop end-of-season using VENµS and sentinel-2 satellite imagery
Using NASA Earth observations and Google Earth Engine to map winter cover crop conservation performance in the Chesapeake Bay watershed
Non-USGS Publications**
Remote Sensing | 2010 | Journal article | DOI: 10.3390/rs2010290 | EID: 2-s2.0-77956640482
CONTRIBUTORS: Hunt Jr., E.R.; Dean Hively, W.; Fujikawa, S.J.; Linden, D.S.; Daughtry, C.S.T.; McCarty, G.W.
2017 ASABE Annual International Meeting |
2017 | Conference paper | DOI: 10.13031/aim.201700174 | EID: 2-s2.0-85035336750
CONTRIBUTORS: Lee, S.; Sadeghi, A.M.; Yeo, I.-Y.; McCarty, G.W.; Hively, W.D.; Lang, M.W.; Sharifi, A.
2006 | Journal article | DOI: 10.5194/hess-10-263-2006 |EID: 2-s2.0-33845312654
CONTRIBUTORS: Hively, W.D.; Gérard-Marchant, P.; Steenhuis, T.S.
Hydrology and Earth System Sciences | 2006 | Journal article |
DOI: 10.5194/hess-10-245-2006 | EID: 2-s2.0-33845335485
CONTRIBUTORS: Gérard-Marchant, P.; Hively, W.D.; Steenhuis, T.S.
Soil Science Society of America Journal 2012 | Journal article
DOI: 10.2136/sssaj2011.0307er | EID: 2-s2.0-84870174436
CONTRIBUTORS: Kinoshita, R.; Moebius-Clune, B.N.; Van Es, H.M.; Dean Hively, W.; Volkan Bilgili, A.
Journal of Soil and Water Conservation
2009 | Journal article | DOI: 10.2489/jswc.64.5.154A | EID: 2-s2.0-77949641000
CONTRIBUTORS: Hively, W.D.; McCarty, G.W.; Keppler, J.
PLoS ONE | 2016 | Journal article | DOI: 10.1371/journal.pone.0157637 |EID: 2-s2.0-84977600676
CONTRIBUTORS: Lee, S.; Yeo, I.-Y.; Sadeghi, A.M.; McCarty, G.W.; Hively, W.D.; Lang, M.W.
Remote Sensing of Environment
2018 | Journal article | DOI: 10.1016/j.rse.2017.12.012 | EID: 2-s2.0-85038211234
CONTRIBUTORS: Quemada, M.; Hively, W.D.; Daughtry, C.S.T.; Lamb, B.T.; Shermeyer, J.
Agronomy | 2023-06-01 | Journal article | DOI: 10.3390/agronomy13061540
CONTRIBUTORS: Uvirkaa Akumaga; Feng Gao; Martha Anderson; Wayne P. Dulaney; Rasmus Houborg; Andrew Russ; W. Dean Hively
Agronomy Journal | 2001 | Journal article | EID: 2-s2.0-0035046034
CONTRIBUTORS: Hively, W.D.; Cox, W.J.
Soil Science Society of America Journal | 2009 | Journal article | DOI: 10.2136/sssaj2007.0443
EID: 2-s2.0-62549137066 | CONTRIBUTORS: Rabenhorst, M.C.; Hively, W.D.; James, B.R.
ASABE - 21st Century Watershed Technology: Improving Water Quality and Environment 2010
2010 | Conference paper | EID: 2-s2.0-79959565712 |
CONTRIBUTORS: Sexton, A.M.; Sadeghi, A.M.; Shirmohammadi, A.; McCarty, G.; Hively, W.D.
Journal of Environmental Quality | 2005 | Journal article | DOI: 10.2134/jeq2004.0194 | EID: 2-s2.0-18744397850 |
CONTRIBUTORS: Bishop, P.L.; Hively, W.D.; Stedinger, J.R.; Rafferty, M.R.; Lojpersberger, J.L.; Bloomfield, J.A.
GIScience and Remote Sensing
2011 | Journal article | DOI: 10.2747/1548-1603.48.1.86
EID: 2-s2.0-79952393629
CONTRIBUTORS: Hunt, E.; Hively, W.; McCarty, G.; Daughtry, C.; Forrestal, P.; Kratochvil, R.; Carr, J.; Allen, N.; Fox-Rabinovitz, J.; Miller, C.
Geoderma
2006 | Journal article | DOI: 10.1016/j.geoderma.2005.03.011 | EID: 2-s2.0-33644823814
CONTRIBUTORS: Bryant, R.B.; Gburek, W.J.; Veith, T.L.; Hively, W.D.
Journal of Environmental Quality
2005 | Journal article | DOI: 10.2134/jeq2004.0116 | EID: 2-s2.0-22944452401
CONTRIBUTORS: Hively, W.D.; Bryant, R.B.; Fahey, T.J.
ASABE 1st Climate Change Symposium: Adaptation and Mitigation | 2015 | Conference paper
EID: 2-s2.0-84948660135
CONTRIBUTORS: Lee, S.; Yeo, L.-Y.; Sadeghi, A.M.; McCarty, G.W.; Lang, M.W.; Hively, W.D.
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
- Science
Providing information on the implementation of agricultural practices in the Chesapeake Bay watershed
Issue: The U.S. Department of Agriculture (USDA) provides cost-share funding and technical assistance to support the implementation of agricultural conservation practices on farms throughout the Chesapeake Bay watershed. Farmer participation in USDA conservation programs is voluntary and the implementation data are privacy protected. - Data
Winter cover crop biomass sampling at the Beltsville Agricultural Research Center, 2019-2021, with corresponding Sentinel-1 and Sentinel-2 derived indices and metrics
This data release contains in situ biomass samples collected from cereal grain winter cover crop fields at the USDA-ARS Beltsville Agricultural Research Center, Beltsville, MD, in the winters of 2019-20 and 2020-21. It also contains corresponding spectral reflectance and radar data acquired from the Sentinel-2 and Sentinel-1 satellite platforms on dates proximal to the biomass collection. Data areReflectance spectra of agricultural field conditions supporting remote sensing evaluation of non-photosynthetic vegetation cover (ver. 1.1, November 2022)
This data release contains spectra used to evaluate narrow-band shortwave infrared indices suitable for measurement of non-photosynthetic vegetation (NPV). The original data were collected using a proximal Analytical Spectral Devices (ASD) FieldSpecPro spectroradiometer, and are also provided in various states of processing, all of which is described in the manuscripts referenced below. ItemsWorldView-3 satellite imagery and crop residue field data collection, Talbot County, MD, May 2015
This data release contains field sampling data collected on a farm located in Talbot County. Maryland, roadside survey data from the area surrounding the farm, and WorldView-3 satellite data of the study area. Datasets include: 1) CropResidueDataset.csv: Tabular data for 174 photo sampling locations with crop residue cover ranging from 0% to 98%, as well as line-point transect residue cover measAggregated Data Records Describing USDA Conservation Practices Implemented Within the Chesapeake Bay Watershed
This data release contains aggregated data records documenting the implementation of USDA conservation practices on farms within the Chesapeake Bay watershed. The data are supplied as annual totals aggregated by county, and by eight digit hydrologic unit code (HUC-8) watershed. The initial data release covers 2007-2017, and updates are planned for December of each year. The data provided here, anClimate, crop rotation, and stream flow data used to run the SWAT model in the Tuckahoe and Greensboro subwatersheds of the Choptank River watershed, Maryland.
This posting contains the source climate and crop rotation data used to run the SWAT model in the Tuckahoe and Upper Choptank watersheds, Maryland. It also contains the monthly flow load data used for validation of model results. The data release was produced in compliance with the new 'open data' requirements as a way to make the scientific products associated with USGS research efforts and publi - Multimedia
Keeping It Green Image 5
Wintertime satellite imagery of Maryland farmland shows areas with higher amounts of green vegetation in deeper red colors. Bare fallow fields are distinguishable from cover crops and winter cereal crops, and evergreen forest is distinguishable from deciduous forest.
Wintertime satellite imagery of Maryland farmland shows areas with higher amounts of green vegetation in deeper red colors. Bare fallow fields are distinguishable from cover crops and winter cereal crops, and evergreen forest is distinguishable from deciduous forest.
- Publications
Filter Total Items: 26
Intercomparison of same-day remote sensing data for measuring winter cover crop biophysical traits
Winter cover crops are planted during the fall to reduce nitrogen losses and soil erosion and improve soil health. Accurate estimations of winter cover crop performance and biophysical traits including biomass and fractional vegetative groundcover support accurate assessment of environmental benefits. We examined the comparability of measurements between ground-based and spaceborne sensors as wellAuthorsAlison Thieme, Kusuma Prabhakara, Jyoti Jennewein, Brian T Lamb, Gregory T. McCarty, W. Dean HivelyAtmospheric correction intercomparison of hyperspectral and multispectral imagery over agricultural study sites
In this research effort we assess the performance of atmospheric correction-based surface reflectance (SR) retrievals from two satellite image sources, one with very high spatial resolution (VHR) (AuthorsBrian T Lamb, W. Dean Hively, Jyoti Jennewein, Alison Thieme, Alex M. SorokaComparing NISAR (using Sentinel-1), USDA/NASS CDL, and ground truth crop/non-crop areas in an urban agricultural region
A general limitation in assessing the accuracy of land cover mapping is the availability of ground truth data. At sites where ground truth is not available, potentially inaccurate proxy datasets are used for sub-field-scale resolution investigations at large spatial scales, i.e., in the Contiguous United States. The USDA/NASS Cropland Data Layer (CDL) is a popular agricultural land cover dataset dAuthorsSimon Kraatz, Brian T Lamb, W. Dean Hively, Jyoti Jennewein, Feng Gao, Michael H. Cosh, Paul SiqueiraIntegration of remote sensing and field observations in evaluating DSSAT model for estimating maize and soybean growth and yield in Maryland, USA
Crop models are useful for evaluating crop growth and yield at the field and regional scales, but their applications and accuracies are restricted by input data availability and quality. To overcome difficulties inherent to crop modeling, input data can be enhanced by the incorporation of remotely sensed and field observations into crop growth models. This approach has been recognized to be an impAuthorsUvirkaa Akumaga, Feng Gao, Martha Anderson, Wayne Dulaney, Rasmus Houborg, Andy Russ, W. Dean HivelyNear real-time detection of winter cover crop termination using harmonized Landsat and Sentinel-2 (HLS) to support ecosystem assessment
Cover crops are planted to reduce soil erosion, increase soil fertility, and improve watershed management. In the Delmarva Peninsula of the eastern United States, winter cover crops are essential for reducing nutrient and sediment losses from farmland. Cost-share programs have been created to incentivize cover crops to achieve conservation objectives. This program required that cover crops be planAuthorsFeng Gao, Jyoti Jennewein, W. Dean Hively, Alex M. Soroka, Alison Thieme, Dawn Bradley, Jason Keppler, Steven Mirsky, Uvirkaa AkumagaOptimizing Landsat Next shortwave infrared bands for crop residue characterization
This study focused on optimizing the placement of shortwave infrared (SWIR) bands for pixel-level estimation of fractional crop residue cover (fR) for the upcoming Landsat Next mission. We applied an iterative wavelength shift approach to a database of crop residue field spectra collected in Beltsville, Maryland, USA (n = 916) and computed generalized two- and three-band spectral indices for all wAuthorsBrian T Lamb, Phillip Dennison, W. Dean Hively, Raymond F. Kokaly, Guy Serbin, Zhuoting Wu, Philip W. Dabney, Jeffery G. Masek, Michael Campbell, Craig S. T. DaughtryRemote sensing evaluation of winter cover crop springtime performance and the impact of delayed termination
In 2019, the Maryland Department of Agriculture's Winter Cover Crop Program introduced a delayed termination incentive (after May 1) to promote springtime biomass accumulation. We used satellite imagery calibrated with springtime in situ measurements collected from 2006–2021 (n = 722) to derive biomass estimates for Maryland fields planted to cereal cover crop species (286,200 ha total over two seAuthorsAlison Thieme, W. Dean Hively, Feng Gao, Jyoti Jennewein, Steven Mirsky, Alex M. Soroka, Jason Keppler, Dawn Bradley, Sergii Skakun, Gregory W. McCartyIntegration of satellite-based optical and synthetic aperture radar imagery to estimate winter cover crop performance in cereal grasses
The magnitude of ecosystem services provided by winter cover crops is linked to their performance (i.e., biomass and associated nitrogen content, forage quality, and fractional ground cover), although few studies quantify these characteristics across the landscape. Remote sensing can produce landscape-level assessments of cover crop performance. However, commonly employed optical vegetation indiceAuthorsJyoti Jennewein, Brian T Lamb, W. Dean Hively, Alison Thieme, Resham Thapa, Avi Goldsmith, Phillip DennisonEvaluation of SWIR crop residue bands for the Landsat Next mission
This research reports the findings of a Landsat Next expert review panel that evaluated the use of narrow shortwave infrared (SWIR) reflectance bands to measure ligno-cellulose absorption features centered near 2100 and 2300 nm, with the objective of measuring and mapping non-photosynthetic vegetation (NPV), crop residue cover, and the adoption of conservation tillage practices within agriculturalAuthorsW. Dean Hively, Brian T. Lamb, Craig S.T. Daughtry, Guy Serbin, Phillip Dennison, Raymond F. Kokaly, Zhuoting Wu, Jeffrey G. MasekSentinel-2 and WorldView-3 atmospheric correction and signal normalization based on ground-truth spectroradiometric measurements
Remote sensing satellite Earth Observing Systems (EOS) provide a variety of products for monitoring Earth surface processes at varying spatial and spectral resolutions. Combining information from high and medium spatial resolution images is valuable for monitoring ground cover and vegetation status in cropland, grassland, forests, and other natural settings. However, coupling information from diffAuthorsJ.L. Pancorbo, Brian T. Lamb, Miguel Quemada, W. Dean Hively, I. Gonzalez-Fernandez, Inigo MolinaDetecting cover crop end-of-season using VENµS and sentinel-2 satellite imagery
Cover crops are planted during the off-season to protect the soil and improve watershed management. The ability to map cover crop termination dates over agricultural landscapes is essential for quantifying conservation practice implementation, and enabling estimation of biomass accumulation during the active cover period. Remote sensing detection of end-of-season (termination) for cover crops hasAuthorsFeng Gao, Martha Anderson, W. Dean HivelyUsing NASA Earth observations and Google Earth Engine to map winter cover crop conservation performance in the Chesapeake Bay watershed
Winter cover crops such as barley, rye, and wheat help to improve soil structure by increasing porosity, aggregate stability, and organic matter, while reducing the loss of agricultural nutrients and sediments into waterways. The environmental performance of cover crops is affected by choice of species, planting date, planting method, nutrient inputs, temperature, and precipitation. The Maryland DAuthorsAlison Thieme, Sunita Yadav, Perry C. Oddo, John M. Fitz, Sean McCartney, LeeAnn King, Jason Keppler, Gregory W. McCarty, W. Dean HivelyNon-USGS Publications**
Acquisition of NIR-green-blue digital photographs from unmanned aircraft for crop monitoring
Remote Sensing | 2010 | Journal article | DOI: 10.3390/rs2010290 | EID: 2-s2.0-77956640482
CONTRIBUTORS: Hunt Jr., E.R.; Dean Hively, W.; Fujikawa, S.J.; Linden, D.S.; Daughtry, C.S.T.; McCarty, G.W.Assessing climate change impacts on winter cover crop nitrate uptake efficiency on the coastal plain of the Chesapeake Bay Watershed using SWAT model
2017 ASABE Annual International Meeting |
2017 | Conference paper | DOI: 10.13031/aim.201700174 | EID: 2-s2.0-85035336750
CONTRIBUTORS: Lee, S.; Sadeghi, A.M.; Yeo, I.-Y.; McCarty, G.W.; Hively, W.D.; Lang, M.W.; Sharifi, A.Distributed hydrological modeling of total dissolved phosphorus transport in an agricultural landscape, part II: Dissolved phosphorus transport Hydrology and Earth System Sciences
2006 | Journal article | DOI: 10.5194/hess-10-263-2006 |EID: 2-s2.0-33845312654
CONTRIBUTORS: Hively, W.D.; Gérard-Marchant, P.; Steenhuis, T.S.Distributed hydrological modelling of total dissolved phosphorus transport in an agricultural and scape, part I: Distributed runoff generation
Hydrology and Earth System Sciences | 2006 | Journal article |
DOI: 10.5194/hess-10-245-2006 | EID: 2-s2.0-33845335485
CONTRIBUTORS: Gérard-Marchant, P.; Hively, W.D.; Steenhuis, T.S.Erratum: Strategies for soil quality assessment using visible and near-infrared reflectance spectroscopy in a western Kenya chronosequence (Soil Science Society of America Journal 76 (1776-1788) DOI: 10.2136/sssaj2011.0307)
Soil Science Society of America Journal 2012 | Journal article
DOI: 10.2136/sssaj2011.0307er | EID: 2-s2.0-84870174436
CONTRIBUTORS: Kinoshita, R.; Moebius-Clune, B.N.; Van Es, H.M.; Dean Hively, W.; Volkan Bilgili, A.Federal-state partnership yields success in remote sensing analysis of conservation practice effectiveness: Results from the Choptank River Conservation Effects Assessment Project
Journal of Soil and Water Conservation
2009 | Journal article | DOI: 10.2489/jswc.64.5.154A | EID: 2-s2.0-77949641000
CONTRIBUTORS: Hively, W.D.; McCarty, G.W.; Keppler, J.Impacts of watershed characteristics and crop rotations on winter cover crop nitrate-nitrogen uptake capacity within agricultural watersheds in the Chesapeake Bay region
PLoS ONE | 2016 | Journal article | DOI: 10.1371/journal.pone.0157637 |EID: 2-s2.0-84977600676
CONTRIBUTORS: Lee, S.; Yeo, I.-Y.; Sadeghi, A.M.; McCarty, G.W.; Hively, W.D.; Lang, M.W.Improved crop residue cover estimates obtained by coupling spectral indices for residue and moisture
Remote Sensing of Environment
2018 | Journal article | DOI: 10.1016/j.rse.2017.12.012 | EID: 2-s2.0-85038211234
CONTRIBUTORS: Quemada, M.; Hively, W.D.; Daughtry, C.S.T.; Lamb, B.T.; Shermeyer, J.Integration of Remote Sensing and Field Observations in Evaluating DSSAT Model for Estimating Maize and Soybean Growth and Yield in Maryland, USA
Agronomy | 2023-06-01 | Journal article | DOI: 10.3390/agronomy13061540
CONTRIBUTORS: Uvirkaa Akumaga; Feng Gao; Martha Anderson; Wayne P. Dulaney; Rasmus Houborg; Andrew Russ; W. Dean HivelyInterseeding cover crops into soybean and subsequent corn yields
Agronomy Journal | 2001 | Journal article | EID: 2-s2.0-0035046034
CONTRIBUTORS: Hively, W.D.; Cox, W.J.Measurements of soil redox potential
Soil Science Society of America Journal | 2009 | Journal article | DOI: 10.2136/sssaj2007.0443
EID: 2-s2.0-62549137066 | CONTRIBUTORS: Rabenhorst, M.C.; Hively, W.D.; James, B.R.Modeling cover crop effectiveness on Maryland's Eastern shore
ASABE - 21st Century Watershed Technology: Improving Water Quality and Environment 2010
2010 | Conference paper | EID: 2-s2.0-79959565712 |
CONTRIBUTORS: Sexton, A.M.; Sadeghi, A.M.; Shirmohammadi, A.; McCarty, G.; Hively, W.D.Multivariate analysis of paired watershed data to evaluate agricultural best management practice effects on stream water phosphorus
Journal of Environmental Quality | 2005 | Journal article | DOI: 10.2134/jeq2004.0194 | EID: 2-s2.0-18744397850 |
CONTRIBUTORS: Bishop, P.L.; Hively, W.D.; Stedinger, J.R.; Rafferty, M.R.; Lojpersberger, J.L.; Bloomfield, J.A.NIR-green-blue high-resolution digital images for assessment of winter cover crop biomass
GIScience and Remote Sensing
2011 | Journal article | DOI: 10.2747/1548-1603.48.1.86
EID: 2-s2.0-79952393629
CONTRIBUTORS: Hunt, E.; Hively, W.; McCarty, G.; Daughtry, C.; Forrestal, P.; Kratochvil, R.; Carr, J.; Allen, N.; Fox-Rabinovitz, J.; Miller, C.Perspectives on the potential for hydropedology to improve watershed modeling of phosphorus loss
Geoderma
2006 | Journal article | DOI: 10.1016/j.geoderma.2005.03.011 | EID: 2-s2.0-33644823814
CONTRIBUTORS: Bryant, R.B.; Gburek, W.J.; Veith, T.L.; Hively, W.D.Phosphorus concentrations in overland flow from diverse locations on a New York dairy farm
Journal of Environmental Quality
2005 | Journal article | DOI: 10.2134/jeq2004.0116 | EID: 2-s2.0-22944452401
CONTRIBUTORS: Hively, W.D.; Bryant, R.B.; Fahey, T.J.Prediction of climate change impacts on agricultural watersheds and the performance of winter cover crops: Case study of the upper region of the Choptank River Watershed
ASABE 1st Climate Change Symposium: Adaptation and Mitigation | 2015 | Conference paper
EID: 2-s2.0-84948660135
CONTRIBUTORS: Lee, S.; Yeo, L.-Y.; Sadeghi, A.M.; McCarty, G.W.; Lang, M.W.; Hively, W.D.**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
- News
*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government