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The Thexmex-18 Dataset: Understanding the Soil and Vegetation Dynamics of Agricultural Fields in Central Mexico from L-Band SMAP Observations.

A. Monsivais-Huertero, R. Aparicio-García, C. Sánchez-Villanueva, V. Saúce-Rangel, J. Judge, J. Hernández-Sánchez, I. Rosa-Montero, E. Arizmendi-Vasconcelos, J. Jiménez-Escalona, D. Constantino-Recillas, R. Villalobos-Martínez, J. Puebla-Lomas, and E. Zempoaltécatl-Ramirez. IGARSS, page 6190-6193. IEEE, (2019)

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Mark Judge

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Downscaling SMAP Soil Moisture Retrievals Over an Agricultural Region in Central Mexico Using Machine Learning.J. Hernández-Sánchez, A. Monsivais-Huertero, J. Judge, and J. Jiménez-Escalona. IGARSS, page 7049-7052. IEEE, (2019)A growing season land surface process/radiobrightness model for wheat-stubble in the Southern Great Plains.J. Judge, A. England, W. Crosson, C. Laymon, B. Hornbuckle, D. Boprie, E. Kim, and Y. Liou. IEEE Trans. Geosci. Remote. Sens., 37 (5): 2152-2158 (1999)Applications of Remote Sensing for Land Use Planning Scenarios With Suitability Analysis.J. Peeling, C. Chen, J. Judge, A. Singh, S. Achidago, A. Eide, K. Tarrio, and P. Olofsson. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)A Comparison of Passive Microwave Emission Models for Estimating Brightness Temperature at L- and P-Bands Under Bare and Vegetated Soil Conditions.F. Brakhasi, J. Walker, J. Judge, P. Liu, X. Shen, N. Ye, X. Wu, I. Yeo, N. Boopathi, E. Kim and 2 other author(s). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)PyLUSAT: An open-source Python toolkit for GIS-based land use suitability analysis.C. Chen, J. Judge, and D. Hulse. CoRR, (2021)Disaggregation of Remotely Sensed Soil Moisture in Heterogeneous Landscapes using Holistic Structure based Models.S. Chakrabarti, J. Judge, A. Rangarajan, and S. Ranka. CoRR, (2015)PyLUSAT: An open-source Python toolkit for GIS-based land use suitability analysis.C. Chen, J. Judge, and D. Hulse. Environ. Model. Softw., (2022)Understanding root-zone soil moisture in agricultural regions of Central Mexico using the ensemble Kalman filter, satellite-derived information, and the THEXMEX-18 dataset.H. Huerta-Batiz, D. Constantino-Recillas, A. Monsiváis-Huertero, J. Hernández-Sánchez, J. Judge, and R. Aparicio-García. Int. J. Digit. Earth, 15 (1): 52-78 (2022)High-Resolution Inundation Mapping for Heterogeneous Land Covers with Synthetic Aperture Radar and Terrain Data.F. Aristizabal, J. Judge, and A. Monsivais-Huertero. Remote Sensing, 12 (6): 900 (2020)Passive microwave remote sensing of soil moisture, evapotranspiration, and vegetation properties during a growing season of cotton.K. Tien, J. Judge, and J. Jacobs. IGARSS, page 2795-2798. IEEE, (2004)

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The Thexmex-18 Dataset: Understanding the Soil and Vegetation Dynamics of Agricultural Fields in Central Mexico from L-Band SMAP Observations.

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Mark Judge

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Disambiguation of "Judge, Jasmeet"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML The Thexmex-18 Dataset: Understanding the Soil and Vegetation Dynamics of Agricultural Fields in Central Mexico from L-Band SMAP Observations.

Please choose a person to relate this publication to

Mark Judge

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The Thexmex-18 Dataset: Understanding the Soil and Vegetation Dynamics of Agricultural Fields in Central Mexico from L-Band SMAP Observations.