Filter Set

    Using ISMN data:

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. Ma, Hongliang, Li, Xiaojun, Zeng, Jiangyuan, Zhang, Xiang, Dong, Jianzhi, Chen, Nengcheng, Fan, Lei, Sadeghi, Morteza, Frappart, Frédéric, Liu, Xiangzhuo, Wang, Mengjia, Wang, Huan, Fu, Zheng, Xing, Zanpin, Ciais, Philippe, Wigneron, Jean-Pierre (2023). An assessment of L-band surface soil moisture products from SMOS and SMAP in the tropical areas. Remote Sensing of Environment, 284, 113344. 10.1016/j.rse.2022.113344
  17. Min, Xiaoxiao, Li, Danlu, Shangguan, YuLin, Tian, Shuo, Shi, Zhou (2023). Characterizing the accuracy of satellite-based products to detect soil moisture at the global scale. Geoderma, 432, 116388. 10.1016/j.geoderma.2023.116388
  18. Mi, Pei, Zheng, Chaolei, Jia, Li, Bai, Yu (2023). Reconstruction of Global Long-Term Gap-Free Daily Surface Soil Moisture from 2002 to 2020 Based on a Pixel-Wise Machine Learning Method. Remote Sensing, 15, 2116. 10.3390/rs15082116
  19. Mohammed, Khaled, Leconte, Robert, Trudel, Mélanie (2023). Impacts of Spatiotemporal Gaps in Satellite Soil Moisture Data on Hydrological Data Assimilation. Water, 15, 321. 10.3390/w15020321
  20. Nadeem, Adeel Ahmad, Zha, Yuanyuan, Shi, Liangsheng, Ali, Shoaib, Wang, Xi, Zafar, Zeeshan, Afzal, Zeeshan, Tariq, Muhammad Atiq Ur Rehman (2023). Spatial Downscaling and Gap-Filling of SMAP Soil Moisture to High Resolution Using MODIS Surface Variables and Machine Learning Approaches over ShanDian River Basin, China. Remote Sensing, 15, 812. 10.3390/rs15030812
  21. Naz, Bibi S., Sharples, Wendy, Ma, Yueling, Goergen, Klaus, Kollet, Stefan (2023). Continental-scale evaluation of a fully distributed coupled land surface and groundwater model, ParFlow-CLM (v3.6.0), over Europe. Geoscientific Model Development, 16, 1617-1639. 10.5194/gmd-16-1617-2023
  22. Pavur, Gigi, Lakshmi, Venkataraman (2023). Observing the recent floods and drought in the Lake Victoria Basin using Earth observations and hydrological anomalies. Journal of Hydrology: Regional Studies, 46, 101347. 10.1016/j.ejrh.2023.101347
  23. Ramsauer, Thomas, Marzahn, Philip (2023). Global Soil Moisture Estimation based on GPM IMERG Data using a Site Specific Adjusted Antecedent Precipitation Index. International Journal of Remote Sensing, 44, 542-566. 10.1080/01431161.2022.2162351
  24. Shana, S. S., Sreenath, K. R., Sumithra, T. G., Krishnaveny, S. M. S., Joshi, K. K., Nameer, P. O., Gopalakrishnan, A. (2023). A Global-Scale Ecological Niche Modeling of the Emerging Pathogen Serratia marcescens to Aid in its Spatial Ecology. Curr Microbiol, 80, 59. 10.1007/s00284-022-03159-y
  25. Shangguan, Yulin, Min, Xiaoxiao, Shi, Zhou (2023). Inter-comparison and integration of different soil moisture downscaling methods over the Qinghai-Tibet Plateau. Journal of Hydrology, 617, 129014. 10.1016/j.jhydrol.2022.129014
  26. Shin, Yongchul, Mohanty, Binayak P., Kim, Jonggun, Lee, Taehwa (2023). Multi-model based soil moisture simulation approach under contrasting weather conditions. Journal of Hydrology, 617, 129112. 10.1016/j.jhydrol.2023.129112
  27. Singh, Abhilash, Gaurav, Kumar, Sonkar, Gaurav Kailash, Lee, Cheng-Chi (2023). Strategies to Measure Soil Moisture Using Traditional Methods, Automated Sensors, Remote Sensing, and Machine Learning Techniques: Review, Bibliometric Analysis, Applications, Research Findings, and Future Directions. IEEE Access, 11, 13605-13635. 10.1109/access.2023.3243635
  28. Skulovich, O., Gentine, P. (2023). A Long-term Consistent Artificial Intelligence and Remote Sensing-based Soil Moisture Dataset. Sci Data, 10, 154. 10.1038/s41597-023-02053-x
  29. Stephens, Graeme, Polcher, Jan, Zeng, Xubin, van Oevelen, Peter, Poveda, Germán, Bosilovich, Michael, Ahn, Myoung-Hwan, Balsamo, Gianpaolo, Duan, Qingyun, Hegerl, Gabriele, Jakob, Christian, Lamptey, Benjamin, Leung, Ruby, Piles, Maria, Su, Zhongbo, Dirmeyer, Paul, Findell, Kirsten L., Verhoef, Anne, Ek, Michael, L’Ecuyer, Tristan, Roca, Rémy, Nazemi, Ali, Dominguez, Francina, Klocke, Daniel, Bony, Sandrine (2023). The First 30 Years of GEWEX. Bulletin of the American Meteorological Society, 104, E126-E157. 10.1175/bams-d-22-0061.1
  30. Wu, Kai, Ryu, Dongryeol, Wagner, Wolfgang, Hu, Zhongmin (2023). A global-scale intercomparison of Triple Collocation Analysis- and ground-based soil moisture time-variant errors derived from different rescaling techniques. Remote Sensing of Environment, 285, 113387. 10.1016/j.rse.2022.113387
  31. Xi, Xuan, Zhuang, Qianlai, Kim, Seungbum, Gentine, Pierre (2023). Evaluating the Effects of Precipitation and Evapotranspiration on Soil Moisture Variability Within CMIP5 Using SMAP and ERA5 Data. Water Resources Research, 59, e2022WR034225. 10.1029/2022wr034225
  32. Yang, Haoxuan, Wang, Qunming (2023). Reconstruction of a spatially seamless, daily SMAP (SSD_SMAP) surface soil moisture dataset from 2015 to 2021. Journal of Hydrology, 621, 129579. 10.1016/j.jhydrol.2023.129579
  33. Yang, Wentao, Guo, Fei, Zhang, Xiaohong, Zhu, Yifan (2023). An Improved Method for Water Body Removal in Spaceborne GNSS-R Soil Moisture Retrieval. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-8. 10.1109/tgrs.2023.3264629
  34. Yao, P., Lu, H., Zhao, T., Wu, S., Peng, Z., Cosh, M. H., Jia, L., Yang, K., Zhang, P., Shi, J. (2023). A global daily soil moisture dataset derived from Chinese FengYun Microwave Radiation Imager (MWRI) (2010-2019). Sci Data, 10, 133. 10.1038/s41597-023-02007-3
  35. Yi, Chuanxiang, Li, Xiaojun, Zeng, Jiangyuan, Fan, Lei, Xie, Zhiqing, Gao, Lun, Xing, Zanpin, Ma, Hongliang, Boudah, Antoine, Zhou, Hongwei, Zhou, Wenjun, Sheng, Ye, Dong, Tianxiang, Wigneron, Jean-Pierre (2023). Assessment of five SMAP soil moisture products using ISMN ground-based measurements over varied environmental conditions. Journal of Hydrology, 619, 129325. 10.1016/j.jhydrol.2023.129325
  36. Yin, Cong, Huang, Feixiong, Xia, Junming, Bai, Weihua, Sun, Yueqiang, Yang, Guanglin, Zhai, Xiaochun, Xu, Na, Hu, Xiuqing, Zhang, Peng, Wang, Jinsong, Du, Qifei, Wang, Xianyi, Cai, Yuerong (2023). Soil Moisture Retrieval from Multi-GNSS Reflectometry on FY-3E GNOS-II by Land Cover Classification. Remote Sensing, 15, 1097. 10.3390/rs15041097
  37. Yu, Tao, Guli·Jiapaer, Bao, Anming, Zhang, Junfeng, Tu, Haiyang, Chen, Bojian, De Maeyer, Philippe, Van de Voorde, Tim (2023). Evaluating surface soil moisture characteristics and the performance of remote sensing and analytical products in Central Asia. Journal of Hydrology, 617, 128921. 10.1016/j.jhydrol.2022.128921
  38. Zhang, Runze, Chan, Steven, Bindlish, Rajat, Lakshmi, Venkataraman (2023). A Performance Analysis of Soil Dielectric Models over Organic Soils in Alaska for Passive Microwave Remote Sensing of Soil Moisture. Remote Sensing, 15, 1658. 10.3390/rs15061658
  39. Zhang, Yufang, Liang, Shunlin, Ma, Han, He, Tao, Wang, Qian, Li, Bing, Xu, Jianglei, Zhang, Guodong, Liu, Xiaobang, Xiong, Changhao (2023). Generation of global 1 km daily soil moisture product from 2000 to 2020 using ensemble learning. Earth System Science Data, 15, 2055-2079. 10.5194/essd-15-2055-2023
  40. Zheng, C., Jia, L., Zhao, T. (2023). A 21-year dataset (2000-2020) of gap-free global daily surface soil moisture at 1-km grid resolution. Sci Data, 10, 139. 10.1038/s41597-023-01991-w
  41. Zhou, Yang, Zhang, Yan, Wang, Ruliang, Chen, Haishan, Zhao, Qifan, Liu, Binshuo, Shao, Qing, Cao, Lu, Sun, Shanlei (2023). Deep learning for daily spatiotemporally continuity of satellite surface soil Moisture over eastern China in summer. Journal of Hydrology, 619, 129308. 10.1016/j.jhydrol.2023.129308
  42. Zhu, Liujun, Yuan, Shanshui, Liu, Yi, Chen, Cheng, Walker, Jeffrey P. (2023). Time series soil moisture retrieval from SAR data: Multi-temporal constraints and a global validation. Remote Sensing of Environment, 287, 113466. 10.1016/j.rse.2023.113466
  43. Zohaib, Muhammad, Kim, Hyunglok, Lakshmi, Venkataraman (2023). Impact of Vegetation Gradient and Land Cover Conditions on Soil Moisture Retrievals From Different Frequencies and Acquisition Times of AMSR2. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-14. 10.1109/tgrs.2023.3264505
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