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  1. Atar, Mojtaba and Shah-Hosseini, Reza and Ghaffari, Omid (2024). Retrieval of Soil Moisture Using Time Series of Radar and Optical Remote Sensing Data at 10 m Resolution. Environmental Sciences Proceedings, 29, 1, 75. 10.3390/ECRS2023-16861
  2. Bao, Xin and Zhang, Rui and He, Xu and Shama, Age and Yin, Gaofei and Chen, Jie and Zhang, Hongsheng and Liu, Guoxiang (2024). An Integrated Time-Series Relative Soil Moisture Monitoring Method Based on a SAR Backscattering Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1-22. 10.1109/jstars.2024.3413673
  3. Besnier, Jessica and Getirana, Augusto and Beaudoing, Hiroko and Lakshmi, Venkataraman (2024). Characterizing the 2019-2021 drought in La Plata River Basin with GLDAS and SMAP. Journal of Hydrology: Regional Studies, 52, 101679. 10.1016/j.ejrh.2024.101679
  4. Brunelli, Benedetta and Mancini, Francesco (2024). Comparative analysis of SAOCOM and Sentinel-1 data for surface soil moisture retrieval using a change detection method in a semiarid region (Douro River’s basin, Spain). International Journal of Applied Earth Observation and Geoinformation, 129, 103874. 10.1016/j.jag.2024.103874
  5. Chai, Linna and Zhu, Zhongli and Liu, Shaomin and Xu, Ziwei and Jin, Rui and Li, Xin and Kang, Jian and Che, Tao and Zhang, Yang and Zhang, Jinsong and Cui, Hongjing and Gao, Tiansheng and Xu, Tongren and Zhao, Shaojie and Pan, Xiaoduo and Guo, Ge (2024). QLB-NET: A Dense Soil Moisture and Freeze–Thaw Monitoring Network in the Qinghai Lake Basin on the Qinghai–Tibetan Plateau. Bulletin of the American Meteorological Society, 105, 3, E584-E604. 10.1175/bams-d-23-0186.1
  6. Custódio, Gilliard and Prati, Ronaldo Cristiano (2024). Comparing modern and traditional modeling methods for predicting soil moisture in IoT-based irrigation systems. Smart Agricultural Technology, 7, 100397. 10.1016/j.atech.2024.100397
  7. Del-Coco, Marco and Leo, Marco and Carcagnì, Pierluigi (2024). Machine Learning for Smart Irrigation in Agriculture: How Far along Are We?. Information, 15, 6, 306. 10.3390/info15060306
  8. Ding, Tao and Zhao, Wei and Yang, Yanqing (2024). Addressing spatial gaps in ESA CCI soil moisture product: A hierarchical reconstruction approach using deep learning model. International Journal of Applied Earth Observation and Geoinformation, 132, 104003. 10.1016/j.jag.2024.104003
  9. Fang, Bin and Lakshmi, Venkataraman and Zhang, Runze (2024). Validation of downscaled 1‐km SMOS and SMAP soil moisture data in 2010–2021. Vadose Zone Journal, 23, 2, e20305. 10.1002/vzj2.20305
  10. Fu, Z. and Ciais, P. and Wigneron, J. P. and Gentine, P. and Feldman, A. F. and Makowski, D. and Viovy, N. and Kemanian, A. R. and Goll, D. S. and Stoy, P. C. and Prentice, I. C. and Yakir, D. and Liu, L. and Ma, H. and Li, X. and Huang, Y. and Yu, K. and Zhu, P. and Li, X. and Zhu, Z. and Lian, J. and Smith, W. K. (2024). Global critical soil moisture thresholds of plant water stress. Nat Commun, 15, 1, 4826. 10.1038/s41467-024-49244-7
  11. Gibon, François and Mialon, Arnaud and Richaume, Philippe and Rodríguez-Fernández, Nemesio and Aberer, Daniel and Boresch, Alexander and Crapolicchio, Raffaele and Dorigo, Wouter and Gruber, Alexander and Himmelbauer, Irene and Preimesberger, Wolfgang and Sabia, Roberto and Stradiotti, Pietro and Tercjak, Monika and Kerr, Yann H. (2024). Estimating the uncertainties of satellite derived soil moisture at global scale. Science of Remote Sensing, 10, 100147. 10.1016/j.srs.2024.100147
  12. González-Zamora, Ángel and Benito-Verdugo, Pilar and Martínez-Fernández, José (2024). On the Variability in the Temporal Stability Pattern of Soil Moisture Under Mediterranean Conditions. Spanish Journal of Soil Science, 14, 12839. 10.3389/sjss.2024.12839
  13. Hao, Longfei and Chen, Jingjing and Wei, Zushuai and Miao, Linguang and Zhao, Tianjie and Peng, Jian (2024). Validation of Satellite Soil Moisture Products by Sparsification of Ground Observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 5970-5985. 10.1109/jstars.2024.3362833
  14. Hemmati, Emadoddin and Sahebi, Mahmod Reza (2024). Surface soil moisture retrieval based on transfer learning using SAR data on a local scale. International Journal of Remote Sensing, 45, 7, 2374-2406. 10.1080/01431161.2024.2329529
  15. Heyvaert, Zdenko and Scherrer, Samuel and Dorigo, Wouter and Bechtold, Michel and De Lannoy, Gabriëlle (2024). Joint assimilation of satellite-based surface soil moisture and vegetation conditions into the Noah-MP land surface model. Science of Remote Sensing, 9, 100129. 10.1016/j.srs.2024.100129
  16. Hua, Langqin and Zhang, Fangmin and Sun, Rui and Yu, Xiaolan and Ma, He (2024). Synergy of carbon and water use efficiencies in the Huai River Basin. Ecological Indicators, 160, 111874. 10.1016/j.ecolind.2024.111874
  17. Jing, Cheng and Li, Weiqiang and Wan, Wei and Lu, Feng and Niu, Xinliang and Chen, Xiuwan and Rius, Antonio and Cardellach, Estel and Ribó, Serni and Liu, Baojian and Guo, Zhizhou and Nan, Yang (2024). A review of the BuFeng-1 GNSS-R mission: calibration and validation results of sea surface and land surface. Geo-spatial Information Science, 27, 3, 638-652. 10.1080/10095020.2024.2330547
  18. Kim, Kyung Y. and Haagenson, Ryan and Kansara, Prakrut and Rajaram, Harihar and Lakshmi, Venkataraman (2024). Augmenting daily MODIS LST with AIRS surface temperature retrievals to estimate ground temperature and permafrost extent in High Mountain Asia. Remote Sensing of Environment, 305, 114075. 10.1016/j.rse.2024.114075
  19. Liu, Yangxiaoyue and Chen, Xiaona and Bai, Yongqing and Zeng, Jiangyuan (2024). Evaluation of 22 CMIP6 model-derived global soil moisture products of different shared socioeconomic pathways. Journal of Hydrology, 636, 131241. 10.1016/j.jhydrol.2024.131241
  20. Li, Yijie and Zhu, Muyuan and Luo, Linyu and Wang, Shuang and Chen, Ce and Zhang, Zhitao and Yao, Yifei and Hu, Xiaotao (2024). GNSS-IR dual-frequency data fusion for soil moisture inversion based on Helmert variance component estimation. Journal of Hydrology, 631, 130752. 10.1016/j.jhydrol.2024.130752
  21. Luo, Xiaotian and Yin, Cong and Sun, Yueqiang and Bai, Weihua and Li, Wei and Song, Hongqing (2024). A Real-Time Prediction Approach to Deep Soil Moisture Combining GNSS-R Data and a Water Movement Model in Unsaturated Soil. Water, 16, 7, 979. 10.3390/w16070979
  22. Mai, Ruiwen and Xin, Qinchuan and Qiu, Jianxiu and Wang, Qianfeng and Zhu, Peng (2024). High spatial resolution soil moisture improves crop yield estimation in the midwestern United States. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1-12. 10.1109/jstars.2024.3417424
  23. Meng, Xiangjin and Peng, Jian and Hu, Jia and Li, Ji and Leng, Guoyong and Ferhatoglu, Caner and Li, Xueying and García-García, Almudena and Yang, Yingbao (2024). Validation and expansion of the soil moisture index for assessing soil moisture dynamics from AMSR2 brightness temperature. Remote Sensing of Environment, 303, 114018. 10.1016/j.rse.2024.114018
  24. Munoz-Martin, Joan Francesc and Rodriguez-Alvarez, Nereida and Bosch-Lluis, Xavier and Oudrhiri, Kamal (2024). Scattering Matrix Retrieval Using Full-Polarimetric GNSS-R. IEEE Transactions on Geoscience and Remote Sensing, 62, 1-15. 10.1109/tgrs.2024.3414261
  25. Nandintsetseg, Banzragch and Chang, Jinfeng and Sen, Omer L. and Reyer, Christopher P. O. and Kong, Kaman and Yetemen, Omer and Ciais, Philippe and Davaadalai, Jamts (2024). Future drought risk and adaptation of pastoralism in Eurasian rangelands. npj Climate and Atmospheric Science, 7, 1, 82. 10.1038/s41612-024-00624-2
  26. Navari, Mahdi and Kumar, Sujay and Wang, Shugong and Geiger, James and Mocko, David M. and Arsenault, Kristi R. and Kemp, Eric M. (2024). Enabling Advanced Snow Physics Within Land Surface Models Through an Interoperable Model‐Physics Coupling Framework. Journal of Advances in Modeling Earth Systems, 16, 4, e2022MS003236. 10.1029/2022ms003236
  27. Shan, Xu and Steele-Dunne, Susan and Hahn, Sebastian and Wagner, Wolfgang and Bonan, Bertrand and Albergel, Clement and Calvet, Jean-Christophe and Ku, Ou (2024). Assimilating ASCAT normalized backscatter and slope into the land surface model ISBA-A-gs using a Deep Neural Network as the observation operator: Case studies at ISMN stations in western Europe. Remote Sensing of Environment, 308, 114167. 10.1016/j.rse.2024.114167
  28. Shi, Changjiang and Zhang, Zhijie and Xiong, Shengqing and Zhang, Wanchang (2024). Enhancing Global Surface Soil Moisture Estimation From ESA CCI and SMAP Product With a Conditional Variational Autoencoder. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 9337-9359. 10.1109/jstars.2024.3393828
  29. Sinha, Jhilam and Sharma, Ashish and Marshall, Lucy and Kim, Seokhyeon (2024). Characterizing Satellite Soil Moisture Drydown: A Bivariate Filtering Approach. Water Resources Research, 60, 7, e2022WR034019. 10.1029/2022wr034019
  30. Song, Jiaxi and Zhou, Sha and Yu, Bofu and Li, Yan and Liu, Yanxu and Yao, Ying and Wang, Shuai and Fu, Bojie (2024). Serious underestimation of reduced carbon uptake due to vegetation compound droughts. npj Climate and Atmospheric Science, 7, 1, 23. 10.1038/s41612-024-00571-y
  31. Wang, Chi and Yang, Na and Zhao, Tianjie and Xue, Huazhu and Peng, Zhiqing and Zheng, Jingyao and Pan, Jinmei and Yao, Panpan and Gao, Xiaowen and Yan, Hongbo and Song, Peilin and Liou, Yuei-An and Shi, Jiancheng (2024). All-Season Liquid Soil Moisture Retrieval From SMAP. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 8258-8270. 10.1109/jstars.2024.3382315
  32. Yang, Haoxuan and Wang, Qunming and Liu, Wenqi (2024). A stepwise method for downscaling SMAP soil moisture dataset in the CONUS during 2015–2019. International Journal of Applied Earth Observation and Geoinformation, 130, 103912. 10.1016/j.jag.2024.103912
  33. Yang, Junran and Yang, Qinli and Hu, Feichi and Shao, Junming and Wang, Guoqing (2024). A climate-adaptive transfer learning framework for improving soil moisture estimation in the Qinghai-Tibet Plateau. Journal of Hydrology, 630, 130717. 10.1016/j.jhydrol.2024.130717
  34. Yang, Wentao and Guo, Fei and Zhang, Xiaohong and Zhang, Zhiyu and Zhu, Yifan (2024). High temporal resolution quasi-global landscape soil freeze–thaw map from spaceborne GNSS-R technology and SMAP radiometer measurements. International Journal of Applied Earth Observation and Geoinformation, 128, 103777. 10.1016/j.jag.2024.103777
  35. Zacharias, Steffen and Loescher, Henry W. and Bogena, Heye and Kiese, Ralf and Schrön, Martin and Attinger, Sabine and Blume, Theresa and Borchardt, Dietrich and Borg, Erik and Bumberger, Jan and Chwala, Christian and Dietrich, Peter and Fersch, Benjamin and Frenzel, Mark and Gaillardet, Jérôme and Groh, Jannis and Hajnsek, Irena and Itzerott, Sibylle and Kunkel, Ralf and Kunstmann, Harald and Kunz, Matthias and Liebner, Susanne and Mirtl, Michael and Montzka, Carsten and Musolff, Andreas and Pütz, Thomas and Rebmann, Corinna and Rinke, Karsten and Rode, Michael and Sachs, Torsten and Samaniego, Luis and Schmid, Hans Peter and Vogel, Hans‐Jörg and Weber, Ute and Wollschläger, Ute and Vereecken, Harry (2024). Fifteen Years of Integrated Terrestrial Environmental Observatories (TERENO) in Germany: Functions, Services, and Lessons Learned. Earth's Future, 12, 6, e2024EF004510. 10.1029/2024ef004510
  36. Zhang, Danwen and Lu, Linjun and Li, Xuan and Zhang, Jiahua and Zhang, Sha and Yang, Shanshan (2024). Spatial Downscaling of ESA CCI Soil Moisture Data Based on Deep Learning with an Attention Mechanism. Remote Sensing, 16, 8, 1394. 10.3390/rs16081394
  37. Zhu, Liujun and Dai, Junjie and Liu, Yi and Yuan, Shanshui and Qin, Tianling and Walker, Jeffrey P. (2024). A cross-resolution transfer learning approach for soil moisture retrieval from Sentinel-1 using limited training samples. Remote Sensing of Environment, 301, 113944. 10.1016/j.rse.2023.113944
  38. Zhu, Yanchao and Yang, Peng and Huang, Heqing and Xia, Jun and Chen, Yaning and Li, Zhi and Shi, Xiaorui (2024). How is about the flash drought events and their impacts on vegetation in Central Asia. Climate Dynamics, 1-21. 10.1007/s00382-024-07266-3
  39. Zhu, Yifan and Guo, Fei and Zhang, Xiaohong and Yang, Wentao (2024). Pan-tropical daily L-band microwave land surface emissivity retrieval from GNSS-R observations. Geo-spatial Information Science, 1-15. 10.1080/10095020.2024.2374368
  40. Abebrese, David Kwesi and Biney, James Kobina Mensah and Kara, Recep Serdar and Báťková, Kamila and Houška, Jakub and Matula, Svatopluk and Badreldin, Nasem and Truneh, Lemma Adane and Shawula, Tewodros Assefa (2023). Estimating the spatial distribution of soil volumetric water content in an agricultural field employing remote sensing and other auxiliary data under different tillage management practices. Soil Use and Management, 40, 1. 10.1111/sum.12981
  41. Amantai, Nigenare and Meng, Yuanyuan and Wang, Jingzhe and Ge, Xiangyu and Tang, Zhiyao (2023). Climate overtakes vegetation greening in regulating spatiotemporal patterns of soil moisture in arid Central Asia in recent 35 years. GIScience & Remote Sensing, 61, 1, 2286744. 10.1080/15481603.2023.2286744
  42. Araki, Ryoko, Mu, Ye, McMillan, Hilary (2023). Evaluation of GLDAS soil moisture seasonality in arid climates. Hydrological Sciences Journal, 1-18. 10.1080/02626667.2023.2206032
  43. A, Y. and Jiang, X. and Wang, Y. and Wang, L. and Zhang, Z. and Duan, L. and Fang, Q. (2023). Study on spatio-temporal simulation and prediction of regional deep soil moisture using machine learning. J Contam Hydrol, 258, 104235. 10.1016/j.jconhyd.2023.104235
  44. Batchu, Vishal, Nearing, Grey, Gulshan, Varun (2023). A Deep Learning Data Fusion Model using Sentinel-1/2, SoilGrids, SMAP-USDA, and GLDAS for Soil Moisture Retrieval. Journal of Hydrometeorology. 10.1175/jhm-d-22-0118.1
  45. Berthelin, Romane, Olarinoye, Tunde, Rinderer, Michael, Mudarra, Matías, Demand, Dominic, Scheller, Mirjam, Hartmann, Andreas (2023). Estimating karst groundwater recharge from soil moisture observations – a new method tested at the Swabian Alb, southwest Germany. Hydrology and Earth System Sciences, 27, 385-400. 10.5194/hess-27-385-2023
  46. Bessenbacher, V., Gudmundsson, L., Seneviratne, S. I. (2023). Optimizing Soil Moisture Station Networks for Future Climates. Geophysical Research Letters, 50, e2022GL101667. 10.1029/2022gl101667
  47. Brunelli, Benedetta and De Giglio, Michaela and Magnani, Elisa and Dubbini, Marco (2023). Surface soil moisture estimate from Sentinel-1 and Sentinel-2 data in agricultural fields in areas of high vulnerability to climate variations: the Marche region (Italy) case study. Environment, Development and Sustainability, 1-23. 10.1007/s10668-023-03635-w
  48. Burnol, André, Armandine Les Landes, Antoine, Raucoules, Daniel, Foumelis, Michael, Allanic, Cécile, Paquet, Fabien, Maury, Julie, Aochi, Hideo, Guillon, Théophile, Delatre, Mickael, Dominique, Pascal, Bitri, Adnand, Lopez, Simon, Pébaÿ, Philippe P., Bazargan-Sabet, Behrooz (2023). Impacts of Water and Stress Transfers from Ground Surface on the Shallow Earthquake of 11 November 2019 at Le Teil (France). Remote Sensing, 15, 2270. 10.3390/rs15092270
  49. Chen, H. and Chen, P. and Wang, R. and Qiu, L. and Tang, F. and Xiong, M. (2023). Multi-Source Soil Moisture Data Fusion Based on Spherical Cap Harmonic Analysis and Helmert Variance Component Estimation in the Western U.S. Sensors (Basel), 23, 19, 8019. 10.3390/s23198019
  50. Corchia, Timothée and Bonan, Bertrand and Rodríguez-Fernández, Nemesio and Colas, Gabriel and Calvet, Jean-Christophe (2023). Assimilation of ASCAT Radar Backscatter Coefficients over Southwestern France. Remote Sensing, 15, 17, 4258. 10.3390/rs15174258
  51. Dai, Junjie and Zhu, Liujun and Walker, Jeffrey (2023). Machine Learning Methods for 1 km Soil Moisture Retrieval from Sentinel-1: An Evaluation with Limited Training Samples. 2023 IEEE International Radar Conference (RADAR), 1-5. 10.1109/RADAR54928.2023.10371043
  52. Deng, Xiaodong and Zhu, Luyao and Wang, Hongquan and Zhang, XianYun and Tong, Cheng and Li, Sinan and Wang, Ke (2023). Triple Collocation Analysis and In Situ Validation of the CYGNSS Soil Moisture Product. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 1883-1899. 10.1109/jstars.2023.3235111
  53. Ding, Qin and Liang, Yueji and Liang, Xingyong and Ren, Chao and Yan, Hongbo and Liu, Yintao and Zhang, Yan and Lu, Xianjian and Lai, Jianmin and Hu, Xinmiao (2023). Soil Moisture Retrieval Using GNSS-IR Based on Empirical Modal Decomposition and Cross-Correlation Satellite Selection. Remote Sensing, 15, 13, 3218. 10.3390/rs15133218
  54. Donahue, K. and Kimball, J. S. and Du, J. and Bunt, F. and Colliander, A. and Moghaddam, M. and Johnson, J. and Kim, Y. and Rawlins, M. A. (2023). Deep learning estimation of northern hemisphere soil freeze-thaw dynamics using satellite multi-frequency microwave brightness temperature observations. Front Big Data, 6, 1243559. 10.3389/fdata.2023.1243559
  55. Dong, Zhounan, Jin, Shuanggen, Chen, Guodong, Wang, Peng (2023). Enhancing GNSS-R Soil Moisture Accuracy with Vegetation and Roughness Correction. Atmosphere, 14, 509. 10.3390/atmos14030509
  56. Du, Jinyang, Kimball, John S., Chan, Steven K., Chaubell, Mario Julian, Bindlish, Rajat, Dunbar, R. Scott, Colliander, Andreas (2023). Assessment of Surface Fractional Water Impacts on SMAP Soil Moisture Retrieval. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 4871-4881. 10.1109/jstars.2023.3278686
  57. Eylander, John, Bieszczad, Jerry, Ueckermann, Mattheus, Peters, Joffrey, Brooks, Chris, Audette, William, Ekegren, Michael (2023). Geospatial Weather Affected Terrain Conditions and Hazards (GeoWATCH) description and evaluation. Environmental Modelling & Software, 160, 105606. 10.1016/j.envsoft.2022.105606
  58. Graldi, Giulia and Zardi, Dino and Vitti, Alfonso (2023). Retrieving Soil Moisture at the Field Scale from Sentinel-1 Data over a Semi-Arid Mediterranean Agricultural Area. Remote Sensing, 15, 12, 2997. 10.3390/rs15122997
  59. Han, Qianqian and Zeng, Yijian and Zhang, Lijie and Cira, Calimanut-Ionut and Prikaziuk, Egor and Duan, Ting and Wang, Chao and Szabó, Brigitta and Manfreda, Salvatore and Zhuang, Ruodan and Su, Bob (2023). Ensemble of optimised machine learning algorithms for predicting surface soil moisture content at a global scale. Geoscientific Model Development, 16, 20, 5825-5845. 10.5194/gmd-16-5825-2023
  60. Han, Q., Zeng, Y., Zhang, L., Wang, C., Prikaziuk, E., Niu, Z., Su, B. (2023). Global long term daily 1 km surface soil moisture dataset with physics informed machine learning. Sci Data, 10, 101. 10.1038/s41597-023-02011-7
  61. Hegazi, Ehab H., Samak, Abdellateif A., Yang, Lingbo, Huang, Ran, Huang, Jingfeng (2023). Prediction of Soil Moisture Content from Sentinel-2 Images Using Convolutional Neural Network (CNN). Agronomy, 13, 656. 10.3390/agronomy13030656
  62. Heyvaert, Zdenko, Scherrer, Samuel, Bechtold, Michel, Gruber, Alexander, Dorigo, Wouter, Kumar, Sujay, De Lannoy, Gabriëlle (2023). Impact of design factors for ESA CCI satellite soil moisture data assimilation over Europe. Journal of Hydrometeorology. 10.1175/jhm-d-22-0141.1
  63. Huang, Shuzhe, Zhang, Xiang, Wang, Chao, Chen, Nengcheng (2023). Two-step fusion method for generating 1 km seamless multi-layer soil moisture with high accuracy in the Qinghai-Tibet plateau. ISPRS Journal of Photogrammetry and Remote Sensing, 197, 346-363. 10.1016/j.isprsjprs.2023.02.009
  64. Huang, Xinyi and Feng, Shouming and Zhao, Shuaishuai and Fan, Jinlong and Qin, Zhihao and Zhao, Shuhe (2023). Assessment of Different Satellite Image-Derived Drought Indices over the Contiguous United States: A Comparison in Different Climates, Vegetation Cover Types, and Soil Layers. Water, 15, 20, 3634. 10.3390/w15203634
  65. Hulsman, P. and Keune, J. and Koppa, A. and Schellekens, J. and Miralles, D. G. (2023). Incorporating Plant Access to Groundwater in Existing Global, Satellite‐Based Evaporation Estimates. Water Resources Research, 59, 8, e2022WR033731. 10.1029/2022wr033731
  66. Hu, Lu, Zhao, Tianjie, Ju, Weimin, Peng, Zhiqing, Shi, Jiancheng, Rodríguez-Fernández, Nemesio J., Wigneron, Jean-Pierre, Cosh, Michael H., Yang, Kun, Lu, Hui, Yao, Panpan (2023). A twenty-year dataset of soil moisture and vegetation optical depth from AMSR-E/2 measurements using the multi-channel collaborative algorithm. Remote Sensing of Environment, 292, 113595. 10.1016/j.rse.2023.113595
  67. Hu, Yifan and Wang, Guojie and Wei, Xikun and Zhou, Feihong and Kattel, Giri and Amankwah, Solomon Obiri Yeboah and Hagan, Daniel Fiifi Tawia and Duan, Zheng (2023). Reconstructing long-term global satellite-based soil moisture data using deep learning method. Frontiers in Earth Science, 11, 1130853. 10.3389/feart.2023.1130853
  68. Jiang, K. and Pan, Z. and Pan, F. and Teuling, A. J. and Han, G. and An, P. and Chen, X. and Wang, J. and Song, Y. and Cheng, L. and Zhang, Z. and Huang, N. and Ma, S. and Gao, R. and Zhang, Z. and Men, J. and Lv, X. and Dong, Z. (2023). Combined influence of soil moisture and atmospheric humidity on land surface temperature under different climatic background. iScience, 26, 6, 106837. 10.1016/j.isci.2023.106837
  69. Karamvasis, Kleanthis and Karathanassi, Vassilia (2023). Soil moisture estimation from Sentinel-1 interferometric observations over arid regions. Computers & Geosciences, 178, 105410. 10.1016/j.cageo.2023.105410
  70. Lakshmi, Venkataraman, Le, Manh-Hung, Goffin, Benjamin D., Besnier, Jessica, Pham, Hung T., Do, Hong-Xuan, Fang, Bin, Mohammed, Ibrahim, Bolten, John D. (2023). Regional analysis of the 2015–16 Lower Mekong River basin drought using NASA satellite observations. Journal of Hydrology: Regional Studies, 46, 101362. 10.1016/j.ejrh.2023.101362
  71. Li, Ji and Leng, Guoyong and Peng, Jian (2023). The Merit of Estimating High-Resolution Soil Moisture Using Combined Optical, Thermal, and Microwave Data. IEEE Geoscience and Remote Sensing Letters, 20, 1-5. 10.1109/lgrs.2023.3291761
  72. Liu, Jiangtao, Hughes, David, Rahmani, Farshid, Lawson, Kathryn, Shen, Chaopeng (2023). Evaluating a global soil moisture dataset from a multitask model (GSM3 v1.0) with potential applications for crop threats. Geoscientific Model Development, 16, 1553-1567. 10.5194/gmd-16-1553-2023
  73. Liu, Yi and Zhu, Ye and Ren, Liliang and Singh, Vijay P. and Yuan, Shanshui (2023). Flash drought fades away under the effect of accumulated water deficits: the persistence and transition to conventional drought. Environmental Research Letters, 18, 11, 114035. 10.1088/1748-9326/acfccb
  74. Liu, Yonghao and Li, Taohui and Zhang, Wenxiang and Lv, Aifeng (2023). Regionalization of Root Zone Moisture Estimations from Downscaled Surface Moisture and Environmental Data with the Soil Moisture Analytical Relationship Model. Water, 15, 23, 4133. 10.3390/w15234133
  75. Li, Zhenghao and Yuan, Qiangqiang and Zhang, Liangpei (2023). Geo-Intelligent Retrieval Framework Based on Machine Learning in the Cloud Environment: A Case Study of Soil Moisture Retrieval. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-15. 10.1109/tgrs.2023.3280591
  76. Luo, Qidi and Liang, Yueji and Guo, Yue and Liang, Xingyong and Ren, Chao and Yue, Weiting and Zhu, Binglin and Jiang, Xueyu (2023). Enhancing Spatial Resolution of GNSS-R Soil Moisture Retrieval through XGBoost Algorithm-Based Downscaling Approach: A Case Study in the Southern United States. Remote Sensing, 15, 18, 4576. 10.3390/rs15184576
  77. Madelon, Remi, Rodríguez-Fernández, Nemesio J., Bazzi, Hassan, Baghdadi, Nicolas, Albergel, Clement, Dorigo, Wouter, Zribi, Mehrez (2023). Soil moisture estimates at 1 km resolution making a synergistic use of Sentinel data. Hydrology and Earth System Sciences, 27, 1221-1242. 10.5194/hess-27-1221-2023
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