Marco P. Maneta

According to our database, Marco P. Maneta authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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, December, 2024

2022

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

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: IrrMapper-U-Net.

Thomas Colligan, David Ketchum, Douglas Brinkerhoff, Marco P. Maneta

CoRR, 2021

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

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

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

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

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, Steven W. Running

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

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

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

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

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

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

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018