Neural Network Modelling of Crop Phenology in Support of Agricultural Monitoring – A Base Map Approach
André Skupin
San Diego State University, San Diego, USA
Kyle Jones
San Diego State University, San Diego, USA
Trent Biggs
San Diego State University, San Diego, USA
Related authors
André Skupin
Abstr. Int. Cartogr. Assoc., 8, 23, https://doi.org/10.5194/ica-abs-8-23-2024, https://doi.org/10.5194/ica-abs-8-23-2024, 2024
André Skupin and Timothy M. Schempp
Abstr. Int. Cartogr. Assoc., 7, 154, https://doi.org/10.5194/ica-abs-7-154-2024, https://doi.org/10.5194/ica-abs-7-154-2024, 2024
Geoffrey Fouad, André Skupin, and Christina L. Tague
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-639, https://doi.org/10.5194/hess-2016-639, 2016
Revised manuscript not accepted
Short summary
Short summary
Regression models were developed to predict streamflow variables (i.e. flow duration curve percentile flows) for the contiguous US. Over 35 independent variables were evaluated, but only three selected through an expert assessment performed better than most combinations of the other variables. Simple regression models consisting of annual precipitation, potential evapotranspiration, and baseflow were converted into a tool for predicting percentile flows for ungauged basins in the contiguous US.
André Skupin
Abstr. Int. Cartogr. Assoc., 8, 23, https://doi.org/10.5194/ica-abs-8-23-2024, https://doi.org/10.5194/ica-abs-8-23-2024, 2024
André Skupin and Timothy M. Schempp
Abstr. Int. Cartogr. Assoc., 7, 154, https://doi.org/10.5194/ica-abs-7-154-2024, https://doi.org/10.5194/ica-abs-7-154-2024, 2024
Kevin J. Gonzalez Martinez, Donatella Zona, Trent Biggs, Kristine Bernabe, Danielle Sirivat, Francia Tenorio, and Walter Oechel
Biogeosciences Discuss., https://doi.org/10.5194/bg-2023-117, https://doi.org/10.5194/bg-2023-117, 2023
Revised manuscript not accepted
Short summary
Short summary
Permafrost soils contain twice the amount of carbon than the atmosphere, and its release could majorly affect global temperatures. This study found that a thicker moss layer resulted in cooler temperatures deeper in the soil, despite warmer surface temperatures. The top green living moss layer was the most important in regulating the soil temperatures and should be considered when predicting the response of permafrost thaw to climate change.
Napoleon Gudino-Elizondo, Matthew W. Brand, Trent W. Biggs, Alejandro Hinojosa-Corona, Álvaro Gómez-Gutiérrez, Eddy Langendoen, Ronald Bingner, Yongping Yuan, and Brett F. Sanders
Nat. Hazards Earth Syst. Sci., 22, 523–538, https://doi.org/10.5194/nhess-22-523-2022, https://doi.org/10.5194/nhess-22-523-2022, 2022
Short summary
Short summary
Mass movement hazards in the form of gullies and landslides pose significant risks in urbanizing areas yet are poorly documented. This paper presents observations and modeling of mass movement events over a 5-year period in Tijuana, Mexico. Three major events were observed, and all were linked to water resources infrastructure failures (WRIFs), namely leaks and breaks in water supply pipes. Modeling shows that WRIF-based erosion was also a non-negligible contributor to the total sediment budget.
Geoffrey Fouad, André Skupin, and Christina L. Tague
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-639, https://doi.org/10.5194/hess-2016-639, 2016
Revised manuscript not accepted
Short summary
Short summary
Regression models were developed to predict streamflow variables (i.e. flow duration curve percentile flows) for the contiguous US. Over 35 independent variables were evaluated, but only three selected through an expert assessment performed better than most combinations of the other variables. Simple regression models consisting of annual precipitation, potential evapotranspiration, and baseflow were converted into a tool for predicting percentile flows for ungauged basins in the contiguous US.