Multi-source machine learning and spaceborne remote sensing data accurately predict three-dimensional soil moisture in an in-service uranium disposal cell

Jarchow, Christopher J.; Du, Jinyang; Kimball, John S.; Kuhlman, Alison; Steckley, Deb

doi:10.1016/j.jenvman.2024.122254

Title: Multi-source machine learning and spaceborne remote sensing data accurately predict three-dimensional soil moisture in an in-service uranium disposal cell

Journal Article · 01 October 2024 · Journal of Environmental Management

DOI: https://doi.org/10.1016/j.jenvman.2024.122254 · OSTI ID:2439632

Jarchow, Christopher J.; Du, Jinyang; Kimball, John S.; Kuhlman, Alison; Steckley, Deb

Not Available

View Accepted Manuscript (Publisher)

Cite

Export

Save

Sponsoring Organization:: USDOE

OSTI ID:: 2439632

Journal Information:: Journal of Environmental Management, Journal Name: Journal of Environmental Management Journal Issue: C Vol. 369; ISSN 0301-4797

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (25)

Influences of soil, terrain, and crop growth on soil moisture variation from transect to farm scales Zhu, Qing; Lin, Henry Geoderma, Vol. 163, Issue 1-2 https://doi.org/10.1016/j.geoderma.2011.03.015	journal	June 2011
Different responses of MODIS-derived NDVI to root-zone soil moisture in semi-arid and humid regions Wang, Xianwei; Xie, Hongjie; Guan, Huade Journal of Hydrology, Vol. 340, Issue 1-2 https://doi.org/10.1016/j.jhydrol.2007.03.022	journal	June 2007
GMES Sentinel-1 mission Torres, Ramon; Snoeij, Paul; Geudtner, Dirk Remote Sensing of Environment, Vol. 120 https://doi.org/10.1016/j.rse.2011.05.028	journal	May 2012
Google Earth Engine: Planetary-scale geospatial analysis for everyone Gorelick, Noel; Hancher, Matt; Dixon, Mike Remote Sensing of Environment, Vol. 202 https://doi.org/10.1016/j.rse.2017.06.031	journal	December 2017
Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning Babaeian, Ebrahim; Paheding, Sidike; Siddique, Nahian Remote Sensing of Environment, Vol. 260 https://doi.org/10.1016/j.rse.2021.112434	journal	July 2021
Projections of declining surface-water availability for the southwestern United States Seager, Richard; Ting, Mingfang; Li, Cuihua Nature Climate Change, Vol. 3, Issue 5 https://doi.org/10.1038/nclimate1787	journal	December 2012
Method to Estimate Water Storage Capacity of Capillary Barriers Stormont, John C.; Morris, Carl E. Journal of Geotechnical and Geoenvironmental Engineering, Vol. 124, Issue 4 https://doi.org/10.1061/(ASCE)1090-0241(1998)124:4(297)	journal	April 1998
Field Hydrology of Armored Earthen Final Covers with and without Vegetation Benson, Craig H.; Albright, William H.; Waugh, W. Joseph Journal of Geotechnical and Geoenvironmental Engineering, Vol. 150, Issue 1 https://doi.org/10.1061/JGGEFK.GTENG-11110	journal	January 2024
Random forest classifier for remote sensing classification Pal, M. International Journal of Remote Sensing, Vol. 26, Issue 1 https://doi.org/10.1080/01431160412331269698	journal	January 2005
Assessing potential of MODIS derived temperature/vegetation condition index (TVDI) to infer soil moisture status Patel, N. R.; Anapashsha, R.; Kumar, S. International Journal of Remote Sensing, Vol. 30, Issue 1 https://doi.org/10.1080/01431160802108497	journal	December 2008
The development of HJ SAR soil moisture retrieval algorithm Du, Jinyang; Shi, Jiancheng; Sun, Ruijing International Journal of Remote Sensing, Vol. 31, Issue 14 https://doi.org/10.1080/01431161.2010.483486	journal	August 2010
Electromagnetic wave scattering from some vegetation samples Karam, M. A.; Fung, A. K.; Antar, Y. M. M. IEEE Transactions on Geoscience and Remote Sensing, Vol. 26, Issue 6 https://doi.org/10.1109/36.7711	journal	January 1988
The Soil Moisture Active Passive (SMAP) Mission Entekhabi, Dara; Njoku, Eni G.; O'Neill, Peggy E. Proceedings of the IEEE, Vol. 98, Issue 5 https://doi.org/10.1109/JPROC.2010.2043918	journal	May 2010
Dense Temporal Series of C- and L-band SAR Data for Soil Moisture Retrieval Over Agricultural Crops Balenzano, Anna; Mattia, Francesco; Satalino, Giuseppe IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 4, Issue 2 https://doi.org/10.1109/JSTARS.2010.2052916	journal	June 2011
A Study of an AIEM Model for Bistatic Scattering From Randomly Rough Surfaces IEEE Transactions on Geoscience and Remote Sensing, Vol. 46, Issue 9 https://doi.org/10.1109/TGRS.2008.919822	journal	September 2008
A Time-Series Approach to Estimate Soil Moisture Using Polarimetric Radar Data IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, Issue 8 https://doi.org/10.1109/TGRS.2009.2014944	journal	August 2009
P-Band Radar Retrieval of Subsurface Soil Moisture Profile as a Second-Order Polynomial: First AirMOSS Results Tabatabaeenejad, Alireza; Burgin, Mariko IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, Issue 2 https://doi.org/10.1109/TGRS.2014.2326839	journal	February 2015
Interferometric Processing of Sentinel-1 TOPS Data Yague-Martinez, Nestor; Prats-Iraola, Pau; Rodriguez Gonzalez, Fernando IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, Issue 4 https://doi.org/10.1109/TGRS.2015.2497902	journal	April 2016
Long Short-Term Memory Hochreiter, Sepp; Schmidhuber, Jürgen Neural Computation, Vol. 9, Issue 8 https://doi.org/10.1162/neco.1997.9.8.1735	journal	November 1997
Performance Evaluation of a Field-Scale Surface Barrier Ward, A. L.; Gee, G. W. Journal of Environmental Quality, Vol. 26, Issue 3 https://doi.org/10.2134/jeq1997.00472425002600030015x	journal	May 1997
Field Water Balance of Landfill Final Covers Albright, William H.; Benson, Craig H.; Gee, Glendon W. Journal of Environmental Quality, Vol. 33, Issue 6 https://doi.org/10.2134/jeq2004.2317	journal	November 2004
Remote Sensing of Environmental Changes in Cold Regions: Methods, Achievements and Challenges Du, Jinyang; Watts, Jennifer D.; Jiang, Lingmei Remote Sensing, Vol. 11, Issue 16 https://doi.org/10.3390/rs11161952	journal	August 2019
Theoretical Modeling and Analysis of L- and P-band Radar Backscatter Sensitivity to Soil Active Layer Dielectric Variations Du, Jinyang; Kimball, John; Moghaddam, Mahta Remote Sensing, Vol. 7, Issue 7 https://doi.org/10.3390/rs70709450	journal	July 2015
Estimation of Soil Moisture from Optical and Thermal Remote Sensing: A Review Zhang, Dianjun; Zhou, Guoqing Sensors, Vol. 16, Issue 8 https://doi.org/10.3390/s16081308	journal	August 2016
Machine Learning to Estimate Surface Soil Moisture from Remote Sensing Data Adab, Hamed; Morbidelli, Renato; Saltalippi, Carla Water, Vol. 12, Issue 11 https://doi.org/10.3390/w12113223	journal	November 2020

Similar Records

Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing

Journal Article · 2022 · Remote Sensing of Environment · OSTI ID:1977612

Wang, Sheng; Guan, Kaiyu; Zhang, Chenhui; +7 more

Soil moisture variability within remote sensing pixels

Journal Article · 1992 · Journal of Geophysical Research; (United States) · OSTI ID:6285017

Charpentier, M A; Groffman, P M

Multi-fidelity machine learning models for accurate bandgap predictions of solids

Journal Article · 2016 · Computational Materials Science · OSTI ID:1352377

Pilania, Ghanshyam; Gubernatis, James E.; Lookman, Turab

Title: Multi-source machine learning and spaceborne remote sensing data accurately predict three-dimensional soil moisture in an in-service uranium disposal cell

Citation Formats

References (25)

Similar Records

Related Subjects