Filter Set

    Using ISMN data:

  1. A. Gruber and G. De Lannoy and C. Albergel and A. Al-Yaari and L. Brocca and J.-C. Calvet and A. Colliander and M. Cosh and W. Crow and W. Dorigo and C. Draper and M. Hirschi and Y. Kerr and A. Konings and W. Lahoz and K. McColl and C. Montzka and J. Muñoz-Sabater and J. Peng and R. Reichle and P. Richaume and C. Rüdiger and T. Scanlon and R. {van der Schalie} and J.-P. Wigneron and W. Wagner (2020). Validation practices for satellite soil moisture retrievals: What are (the) errors?. Remote Sensing of Environment, 244, 111806. https://doi.org/10.1016/j.rse.2020.111806
  2. Akhilesh S. Nair and Rohit Mangla and Thiruvengadam P and J. Indu (2020). Remote sensing data assimilation. Hydrological Sciences Journal, 1--33. 10.1080/02626667.2020.1761021
  3. Albergel, C. and Zheng, Y. and Bonan, B. and Dutra, E. and Rodriguez-Fernandez, N. and Munier, S. and Draper, C. and de Rosnay, P. and Munoz-Sabater, J. and Balsamo, G. and Fairbairn, D. and Meurey, C. and Calvet, J.-C. (2020). Data assimilation for continuous global assessment of severe conditions over terrestrial surfaces. Hydrology and Earth System Sciences, 24, 9, 4291--4316. 10.5194/hess-24-4291-2020
  4. Beck, H. E. and Pan, M. and Miralles, D. G. and Reichle, R. H. and Dorigo, W. A. and Hahn, S. and Sheffield, J. and Karthikeyan, L. and Balsamo, G. and Parinussa, R. M. and van Dijk, A. I. J. M. and Du, J. and Kimball, J. S. and Vergopolan, N. and Wood, E. F. (2020). Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors. Hydrology and Earth System Sciences Discussions, 2020, 1--35. 10.5194/hess-2020-184
  5. Bin Fang and Venkataraman Lakshmi and Rajat Bindlish and Thomas J. Jackson and Pang-Wei Liu (2020). Evaluation and validation of a high spatial resolution satellite soil moisture product over the Continental United States. Journal of Hydrology, 588, 125043. https://doi.org/10.1016/j.jhydrol.2020.125043
  6. Chen, Y. and Feng, X. and Fu, B. (2020). A new dataset of satellite observation-based global surface soil moisture covering 2003--2018. Earth System Science Data Discussions, 2020, 1--46. 10.5194/essd-2020-59
  7. Clara Chew and Eric Small (2020). Estimating inundation extent using CYGNSS data: A conceptual modeling study. Remote Sensing of Environment, 246, 111869. https://doi.org/10.1016/j.rse.2020.111869
  8. Deng, Yuanhong and Wang, Shijie and Bai, Xiaoyong and Luo, Guangjie and Wu, Luhua and Chen, Fei and Wang, Jinfeng and Li, Chaojun and Yang, Yujie and Hu, Zeyin and others (2020). Vegetation greening intensified soil drying in some semi-arid and arid areas of the world. Agricultural and Forest Meteorology, 292, 108103. https://doi.org/10.1016/j.agrformet.2020.108103
  9. Foucras, Myriam and Zribi, Mehrez and Albergel, Clement and Baghdadi, Nicolas and Calvet, Jean-Christophe and Pellarin, Thierry (2020). Estimating 500-m Resolution Soil Moisture Using Sentinel-1 and Optical Data Synergy. Water, 12, 3, 866. 10.3390/w12030866
  10. Hagan, Daniel Fiifi Tawia and Wang, Guojie and Kim, Seokhyeon and Parinussa, Robert M. and Liu, Yi and Ullah, Waheed and Bhatti, Asher Samuel and Ma, Xiaowen and Jiang, Tong and Su, Buda (2020). Maximizing Temporal Correlations in Long-Term Global Satellite Soil Moisture Data-Merging. Remote Sensing, 12, 13, 2164. 10.3390/rs12132164
  11. Han, Yizhi and Bai, Xiaojing and Shao, Wei and Wang, Jie (2020). Retrieval of Soil Moisture by Integrating Sentinel-1A and MODIS Data over Agricultural Fields. Water, 12, 6. 10.3390/w12061726
  12. Herbert, Christoph and Pablos, Miriam and Vall-llossera, Merce and Camps, Adriano and Martinez-Fernandez, Jose (2020). Analyzing Spatio-Temporal Factors to Estimate the Response Time between SMOS and In-Situ Soil Moisture at Different Depths. Remote Sensing, 12, 16, 2614. 10.3390/rs12162614
  13. Jianzhi Dong and Wade T. Crow and Kenneth J. Tobin and Michael H. Cosh and David D. Bosch and Patrick J. Starks and Mark Seyfried and Chandra Holifield Collins (2020). Comparison of microwave remote sensing and land surface modeling for surface soil moisture climatology estimation. Remote Sensing of Environment, 242, 111756. https://doi.org/10.1016/j.rse.2020.111756
  14. Kovacevic, Jovan and Cvijetinovic, Zeljko and Stancic, Nikola and Brodic, Nenad and Mihajlovic, Dragan (2020). New Downscaling Approach Using ESA CCI SM Products for Obtaining High Resolution Surface Soil Moisture. Remote Sensing, 12, 7, 1119. 10.3390/rs12071119
  15. Lei Xu and Nengcheng Chen and Xiang Zhang and Hamid Moradkhani and Chong Zhang and Chuli Hu (2020). In-situ and triple-collocation based evaluations of eight global root zone soil moisture products. Remote Sensing of Environment, 254, 112248. https://doi.org/10.1016/j.rse.2020.112248
  16. L. Gao and M. Sadeghi and A. F. Feldman and A. Ebtehaj (2020). A Spatially Constrained Multichannel Algorithm for Inversion of a First-Order Microwave Emission Model at L-Band. IEEE Transactions on Geoscience and Remote Sensing, 1--13. 10.1109/TGRS.2020.2987490
  17. Li, Mingxing and Wu, Peili and Ma, Zhuguo (2020). A comprehensive evaluation of soil moisture and soil temperature from third-generation atmospheric and land reanalysis data sets. International Journal of Climatology. 10.1002/joc.6549
  18. Lin, Liao-Fan and Pu, Zhaoxia (2020). Improving Near-Surface Short-Range Weather Forecasts Using Strongly Coupled Land--Atmosphere Data Assimilation with GSI-EnKF. Monthly Weather Review, 148, 7, 2863--2888. 10.1175/MWR-D-19-0370.1
  19. Lun Gao and Morteza Sadeghi and Ardeshir Ebtehaj (2020). Microwave retrievals of soil moisture and vegetation optical depth with improved resolution using a combined constrained inversion algorithm: Application for SMAP satellite. Remote Sensing of Environment, 239, 111662. https://doi.org/10.1016/j.rse.2020.111662
  20. Ma, Chunfeng and Li, Xin and McCabe, Matthew F. (2020). Retrieval of High-Resolution Soil Moisture through Combination of Sentinel-1 and Sentinel-2 Data. Remote Sensing, 12, 14, 2303. 10.3390/rs12142303
  21. Mimeau, L. and Tramblay, Y. and Brocca, L. and Massari, C. and Camici, S. and Finaud-Guyot, P. (2020). Modeling the response of soil moisture to climate variability in the Mediterranean region. Hydrology and Earth System Sciences Discussions, 2020, 1--29. 10.5194/hess-2020-302
  22. M. Link and M. Drusch and K. Scipal (2020). Soil Moisture Information Content in SMOS, SMAP, AMSR2, and ASCAT Level-1 Data Over Selected In Situ Sites. IEEE Geoscience and Remote Sensing Letters, 17, 7, 1213--1217. 10.1109/LGRS.2019.2940633
  23. Moreno-Martinez, Alvaro and Piles, Maria and Munoz-Mari, Jordi and Campos-Taberner, Manuel and Adsuara, Jose E. and Mateo, Anna and Perez-Suay, Adrian and Javier Garcia-Haro, Francisco and Camps-Valls, Gustau (2020). Machine Learning Methods for Spatial and Temporal Parameter Estimation. Hyperspectral Image Analysis: Advances in Machine Learning and Signal Processing, 5--35, Cham.. 10.1007/978-3-030-38617-7_2
  24. Morteza Sadeghi and Lun Gao and Ardeshir Ebtehaj and Jean-Pierre Wigneron and Wade T. Crow and John T. Reager and Arthur W. Warrick (2020). Retrieving global surface soil moisture from GRACE satellite gravity data. Journal of Hydrology, 584, 124717. https://doi.org/10.1016/j.jhydrol.2020.124717
  25. Naz, Bibi S. and Kollet, Stefan and Franssen, Harrie-Jan Hendricks and Montzka, Carsten and Kurtz, Wolfgang (2020). A 3km spatially and temporally consistent European daily soil moisture reanalysis from 2000 to 2015. Scientific Data, 7, 1, 111. 10.1038/s41597-020-0450-6
  26. Peijun Li and Yuanyuan Zha and Chak-Hau Michael Tso and Liangsheng Shi and Danyang Yu and Yonggen Zhang and Wenzhi Zeng (2020). Data assimilation of uncalibrated soil moisture measurements from frequency-domain reflectometry. Geoderma, 374, 114432. https://doi.org/10.1016/j.geoderma.2020.114432
  27. Portal, Gerard and Jagdhuber, Thomas and Vall-llossera, Merce and Camps, Adriano and Pablos, Miriam and Entekhabi, Dara and Piles, Maria (2020). Assessment of Multi-Scale SMOS and SMAP Soil Moisture Products across the Iberian Peninsula. Remote Sensing, 12, 3, 570. 10.3390/rs12030570
  28. Sara Sadri and Ming Pan and Yoshihide Wada and Noemi Vergopolan and Justin Sheffield and James S. Famiglietti and Yann Kerr and Eric Wood (2020). A global near-real-time soil moisture index monitor for food security using integrated SMOS and SMAP. Remote Sensing of Environment, 246, 111864. https://doi.org/10.1016/j.rse.2020.111864
  29. Sebastian Helgert and Samiro Khodayar (2020). Improvement of the soil-atmosphere interactions and subsequent heavy precipitation modelling by enhanced initialization using remotely sensed 1 km soil moisture information. Remote Sensing of Environment, 246, 111812. https://doi.org/10.1016/j.rse.2020.111812
  30. Sebastien Verrier (2020). Multifractal and multiscale entropy scaling of in-situ soil moisture time series: Study of SMOSMANIA network data, southwestern France. Journal of Hydrology, 585, 124821. https://doi.org/10.1016/j.jhydrol.2020.124821
  31. Senyurek, Volkan and Lei, Fangni and Boyd, Dylan and Kurum, Mehmet and Gurbuz, Ali Cafer and Moorhead, Robert (2020). Machine Learning-Based CYGNSS Soil Moisture Estimates over ISMN sites in CONUS. Remote Sensing, 12, 7, 1168. 10.3390/rs12071168
  32. Solander, K. C. and Newman, B. D. and Carioca de Araujo, A. and Barnard, H. R. and Berry, Z. C. and Bonal, D. and Bretfeld, M. and Burban, B. and Antonio Candido, L. and Celleri, R. and Chambers, J. Q. and Christoffersen, B. O. and Detto, M. and Dorigo, W. A. and Ewers, B. E. and Jose Filgueiras Ferreira, S. and Knohl, A. and Leung, L. R. and McDowell, N. G. and Miller, G. R. and Terezinha Ferreira Monteiro, M. and Moore, G. W. and Negron-Juarez, R. and Saleska, S. R. and Stiegler, C. and Tomasella, J. and Xu, C. (2020). The pantropical response of soil moisture to El Nino. Hydrology and Earth System Sciences, 24, 5, 2303--2322. 10.5194/hess-24-2303-2020
  33. Souissi, Roïya and Al Bitar, Ahmad and Zribi, Mehrez (2020). Accuracy and Transferability of Artificial Neural Networks in Predicting in Situ Root-Zone Soil Moisture for Various Regions across the Globe. Water, 12, 11. 10.3390/w12113109
  34. Suman, Swati and Srivastava, Prashant K. and Petropoulos, George P. and Pandey, Dharmendra K. and O{\textquoteright}Neill, Peggy E. (2020). Appraisal of SMAP Operational Soil Moisture Product from a Global Perspective. Remote Sensing, 12, 12, 1977. 10.3390/rs12121977
  35. Sun, Hao and Zhou, Baichi and Zhang, Chuanjun and Liu, Hongxing and Yang, Bo (2020). DSCALE\_mod16: A Model for Disaggregating Microwave Satellite Soil Moisture with Land Surface Evapotranspiration Products and Gridded Meteorological Data. Remote Sensing, 12, 6, 980. 10.3390/rs12060980
  36. Wang, Lei and Fang, Shibo and Pei, Zhifang and Zhu, Yongchao and Khoi, Dao Nguyen and Han, Wei (2020). Using FengYun-3C VSM Data and Multivariate Models to Estimate Land Surface Soil Moisture. Remote Sensing, 12, 6, 1038. 10.3390/rs12061038
  37. Wang, Yakun and Shi, Liangsheng and Lin, Lin and Holzman, Mauro and Carmona, Facundo and Zhang, Qiuru (2020). A robust data-worth analysis framework for soil moisture flow by hybridizing sequential data assimilation and machine learning. Vadose Zone Journal, 19, 1, e20026. 10.1002/vzj2.20026
  38. Xaver, Angelika and Zappa, Luca and Rab, Gerhard and Pfeil, Isabella and Vreugdenhil, Mariette and Hemment, Drew and Dorigo, Wouter Arnoud (2020). Evaluating the suitability of the consumer low-cost Parrot Flower Power soil moisture sensor for scientific environmental applications. Geoscientific Instrumentation, Methods and Data Systems, 9, 1, 117--139. 10.5194/gi-9-117-2020
  39. Yangxiaoyue Liu and Wenlong Jing and Qi Wang and Xiaolin Xia (2020). Generating high-resolution daily soil moisture by using spatial downscaling techniques: a comparison of six machine learning algorithms. Advances in Water Resources, 141, 103601. https://doi.org/10.1016/j.advwatres.2020.103601
  40. Yuanhong Deng and Shijie Wang and Xiaoyong Bai and Guangjie Luo and Luhua Wu and Fei Chen and Jinfeng Wang and Qin Li and Chaojun Li and Yujie Yang and Zeyin Hu and Shiqi Tian (2020). Spatiotemporal dynamics of soil moisture in the karst areas of China based on reanalysis and observations data. Journal of Hydrology, 585, 124744. https://doi.org/10.1016/j.jhydrol.2020.124744
  41. Zappa, Luca and Woods, Mel and Hemment, Drew and Xaver, Angelika and Dorigo, Wouter (2020). Evaluation of Remotely Sensed Soil Moisture Products using Crowdsourced Measurements. SPIE, 660 -- 672. 10.1117/12.2571913