Interpolation and Gap Filling of Landsat Reflectance Time Series. - Álvaro Moreno-Martínez; Marco P. Maneta; Gustau Camps-Valls; Luca Martino; Nathaniel P. Robinson; Brady W. Allred; Steven W. Running (IGARSS, 2018)

What can we learn from multi-data calibration of a process-based ecohydrological model? - Sylvain Kuppel; Doerthe Tetzlaff; Marco P. Maneta; Chris Soulsby (Environ. Model. Softw., 2018)

Regional Crop Gross Primary Productivity and Yield Estimation Using Fused Landsat-MODIS Data. - Mingzhu He; John S. Kimball; Marco P. Maneta; Bruce D. Maxwell; Álvaro Moreno; Santiago Beguería; Xiaocui Wu (Remote. Sens., 2018)

Smap L4 Assessment of the Us Northern Plains 2017 Flash Drought. - John S. Kimball; Lucas Jones; Kelsey Jensco; Mingzhu He; Marco P. Maneta; Rolf Reichle (IGARSS, 2019)

Down-Scaling Modis Vegetation Products with Landsat GAP Filled Surface Reflectance in Google Earth Engine. - Álvaro Moreno-Martínez; Emma Izquierdo-Verdiguier; Gustau Camps-Valls; Marco P. Maneta; Jordi Muñoz-Marí; Nathaniel P. Robinson; José E. Adsuara; Manuel Campos; F. Javier García-Haro; Adrián Pérez-Suay; Nicholas Clinton; John S. Kimball; et al. (IGARSS, 2020)

A satellite-driven hydro-economic model to support agricultural water resources management. - Marco P. Maneta; Kelly M. Cobourn; John S. Kimball; Mingzhu He; N. L. Silverman; B. C. Chaffin; Stephanie Ewing; X. Ji; Bruce D. Maxwell (Environ. Model. Softw., 2020)

Monitoring Crop Status in the Continental United States Using the SMAP Level-4 Carbon Product. - Patrick M. Wurster; Marco P. Maneta; John S. Kimball; K. Arthur Endsley; Santiago Beguería (Frontiers Big Data, 2020)

IrrMapper: A Machine Learning Approach for High Resolution Mapping of Irrigated Agriculture Across the Western U.S. - David Ketchum; Kelsey Jencso; Marco P. Maneta; Forrest Melton; Matthew O. Jones; Justin L. Huntington (Remote. Sens., 2020)

Global Upscaling of the MODIS Land Cover with Google Earth Engine and Landsat Data. - Emma Izquierdo-Verdiguier; Álvaro Moreno-Martínez; José E. Adsuara; Jordi Muñoz-Marí; Gustau Camps-Valls; Marco P. Maneta; John S. Kimball; Nicholas Clinton; Steven W. Running (IGARSS, 2021)

A Deep Learning Approach to Mapping Irrigation: IrrMapper-U-Net. - Thomas Colligan; David Ketchum; Douglas Brinkerhoff; Marco P. Maneta (CoRR, 2021)

DroughtCast: A Machine Learning Forecast of the United States Drought Monitor. - Colin Brust; John S. Kimball; Marco P. Maneta; Kelsey Jencso; Rolf Reichle (Frontiers Big Data, 2021)

A Deep Learning Approach to Mapping Irrigation Using Landsat: IrrMapper U-Net. - Thomas Colligan; David Ketchum; Douglas Brinkerhoff; Marco P. Maneta (IEEE Trans. Geosci. Remote. Sens., 2022)

Within-season crop monitoring at continental scale utilizing new gap-filled Landsat temporal series. - C. Rajadel-Lambistos; Emma Izquierdo-Verdiguier; Álvaro Moreno-Martínez; Marco P. Maneta; Santiago Beguería; John S. Kimball; Nicholas Clinton; Clement Atzberger; Gustau Camps-Valls; Steven W. Running (Int. J. Digit. Earth, 2024)