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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Hydrology and Remote Sensing Laboratory » Research » Research Project #440473

Research Project: Enhancing Agricultural Management and Conservation Practices by Advancing Measurement Techniques and Improving Modeling Across Scales

Location: Hydrology and Remote Sensing Laboratory

Publications (Clicking on the reprint icon Reprint Icon will take you to the publication reprint.)

Intercomparison of same-day remote sensing data for measuring winter cover crop biophysical traits Reprint Icon - (Peer Reviewed Journal)
Perabhakara, K., Thieme, A., Lamb, B., Jennewein, J.S., Mccarty, G.W., Hively, W. 2024. Intercomparison of same-day remote sensing data for measuring winter cover crop biophysical traits. Remote Sensing. 24(7):2339. https://doi.org/10.3390/s24072339.

Advancing the SWAT model to simulate perennial bioenergy crops: A case study on switchgrass growth Reprint Icon - (Peer Reviewed Journal)
Dangol, S., Zhang, X., Liang, X., Blanc-Betes, E. 2023. Advancing the SWAT model to simulate perennial bioenergy crops: A case study on switchgrass growth. Environmental Modelling & Software. 170:105834. https://doi.org/10.1016/j.envsoft.2023.105834.

Comparison of five spectral indices and six imagery classification techniques for assessment of crop residue cover using four years of Landsat imagery Reprint Icon - (Peer Reviewed Journal)
Stern, A.J., Daughtry, C.S., Hunt Jr, E.R., Gao, F.N., Hively, W.D. 2023. Comparison of five spectral indices and six imagery classification techniques for assessment of crop residue cover using four years of Landsat imagery. Remote Sensing. Remote Sens. 2023, 15(18), 4596. https://doi.org/10.3390/rs15184596.

Ensuring the continued success of a mulch biowall at a TCE-contaminated superfund site: lessons learned - (Peer Reviewed Journal)

Effectiveness and diurnal variations of vegetative environmental buffers (VEBs) for mitigating NH3 and PM emissions from poultry houses - (Peer Reviewed Journal)

Integration of remote sensing and field observations in evaluating DSSAT model for estimating maize and soybean growth and yield in Maryland, USA Reprint Icon - (Peer Reviewed Journal)
Akumaga, U., Gao, F.N., Anderson, M.C., Dulaney, W.P., Houborg, R., Russ, A.L., Hively, W. 2023. Integration of remote sensing and field observations in evaluating DSSAT model for estimating maize and soybean growth and yield in Maryland, USA. Agronomy. 13:1540. https://doi.org/10.3390/agronomy13061540.

Crop yield prediction via explainable AI and interpretable machine learning: Dangers of black box models for evaluating climate change impacts on crop yield Reprint Icon - (Peer Reviewed Journal)
Hu, T., Zhao, K., Zhou, Y., Liu, Y., Bohrer, G., Martin, J., Li, Y., Zhang, X. 2023. Crop yield prediction via explainable AI and interpretable machine learning: Dangers of black box models for evaluating climate change impacts on crop yield. Agricultural and Forest Meteorology. 336:109458. https://doi.org/10.1016/j.agrformet.2023.109458.

Simulating agroecosystem soil inorganic nitrogen dynamics under long-term management with an improved SWAT-C model Reprint Icon - (Peer Reviewed Journal)
Liang, K., Zhang, X., Liang, X., Jin, V.L., Birru, G.A., Schmer, M.R., Robertson, P.G., McCarty, G.W., Moglen, G.E. 2023. Simulating agroecosystem soil inorganic nitrogen dynamics under long-term management with an improved SWAT-C model. Science of the Total Environment. 879. Article 162906. https://doi.org/10.1016/j.scitotenv.2023.162906.

Use of organic amendments derived from biosolids for groundwater remediation of TCE Reprint Icon - (Peer Reviewed Journal)
Saffari Ghandehari, S., Boyer, J., Ronin, D., White, J., Hapeman, C.J., Jackson, D., Kaya, D., Torrents, A., Kjellerup, B.V. 2023. Use of organic amendments derived from biosolids for groundwater remediation of TCE. Chemosphere. 323. Article 138059. https://doi.org/10.1016/j.chemosphere.2023.138059.

Towards scalable within-season crop mapping with phenology normalization and deep learning Reprint Icon - (Peer Reviewed Journal)
Yang, Z., Diao, C., Gao, F.N. 2023. Towards scalable within-season crop mapping with phenology normalization and deep learning. Geoscience and Remote Sensing Letters. 16:1390-1402. https://doi.org/10.1109/JSTARS.2023.3237500.

Mapping and scaling of in situ above ground biomass to regional extent with SAR in the Great Slave region Reprint Icon - (Peer Reviewed Journal)
Kraatz, S.G., Bourgeau-Chavez, L., Battaglia, M., Pooley, A., Siqueira, P. 2022. Mapping and scaling of in situ above ground biomass to regional extent with SAR in the Great Slave region. Earth and Space Science. 9:Article e2022EA002431. https://doi.org/10.1029/2022EA002431.

Replicating measured site-scale soil organic carbon dynamics in the U.S. corn belt using the SWAT-C model Reprint Icon - (Peer Reviewed Journal)
Liang, K., Qi, J., Zhang, X. 2022. Replicating measured site-scale soil organic carbon dynamics in the U.S. corn belt using the SWAT-C model. Environmental Modelling & Software. 158. Article 105553. https://doi.org/10.1016/j.envsoft.2022.105553.

Dataset combining diurnal and seasonal measurements of vegetation fluorescence, reflectance and vegetation indices with photosynthetic function and CO2 dynamics for maize Reprint Icon - (Peer Reviewed Journal)
Campbell, P., Middleton, E., Hummerich, K., Ward, L., Julitta, T., Yang, P., Van Der Tol, C., Daughtry, C.S., Russ, A.L., Alfieri, J.G., Kustas, W.P. 2021. Dataset combining diurnal and seasonal measurements of vegetation fluorescence, reflectance and vegetation indices with photosynthetic function and CO2 dynamics for maize. Data in Brief. 39:107600. https://doi.org/10.17632/b84jk376c3.1.

Conversations about the future of dicamba: the science behind off target movement Reprint Icon - (Peer Reviewed Journal)
Riter, L., Pai, N., Vieria, B., Macinnes, A., Reiss, R., Hapeman, C.J., Kruger, G. 2021. Conversations about the future of dicamba: the science behind off target movement. Journal of Agricultural and Food Chemistry. 69:14435-14444. https://doi.org/10.1021/acs.jafc.1c05589.

On-site evaluation of the effects of carbonaceous amendments on the bioavailability of aged organochlorine pesticide residues in soil Reprint Icon - (Peer Reviewed Journal)
Anderson, M., Yang, Z., Hapeman, C.J., Mcconnell, L., Green, C.E., Jackson, D., Evans, M., Torrents, A. 2021. On-site evaluation of the effects of carbonaceous amendments on the bioavailability of aged organochlorine pesticide residues in soil. Environmental Pollution. 6:100126. https://doi.org/10.1016/j.envadv.2021.100126.