All Issue

2026 Vol.59, Issue 1

Review

31 January 2026. pp. 1-15
Abstract
References
1

Amitrano, D., Di Martino, G., Di Simone, A., and Imperatore, P. (2024). “Flood detection with SAR: A review of techniques and datasets.” Remote Sensing, MDPI, Vol. 16, No. 4, 656.

10.3390/rs16040656
2

Anconitano, G., Lavalle, M., Acuña, M. A., and Pierdicca, N. (2023). “Sensitivity of polarimetric SAR decompositions to soil moisture and vegetation over three agricultural sites across a latitudinal gradient.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, Vol. 17, pp. 3615-3634.

10.1109/JSTARS.2023.3332423
3

Antropova, Y.K., Komarov, A.S., Richardson, M., Millard, K., and Smith, K. (2022). “Detection of wet snow in the Arctic tundra from time-series fully-polarimetric RADARSAT-2 images.” Remote Sensing of Environment, Elsevier, Vol. 283, 113305.

10.1016/j.rse.2022.113305
4

Ashwin, P.V., Ansal, K.A., and Nishanth, P.R. (2025). “Pol-SAR image classification using edge semantic information in machine learning.” Procedia Computer Science, Elsevier, Vol. 258, pp. 4202-4215.

10.1016/j.procs.2025.04.670
5

Basargin, N., Alonso‐González, A., and Hajnsek, I. (2025). “Explainable physical PolSAR autoencoders for soil moisture estimation.” Proceedings of the Computer Vision and Pattern Recognition Conference, IEEE, Nashville, TN, USA, pp. 2286-2295.

10.1109/CVPRW67362.2025.00215
6

Berezowski, T., Gierszewska, M., and Bieliński, T. (2021). “Flood classification in a natural wetland for early spring conditions using various polarimetric SAR methods.” Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2021), IEEE, Brussels, Belgium, pp. 6853-6856.

10.1109/IGARSS47720.2021.9554713
7

Bordbari, R., and Hooper, A.J. (2025). “Improved deorientation processing for polarimetric SAR data using a phenomenological approach.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, Vol. 18, pp. 8685-8695.

10.1109/JSTARS.2025.3551246
8

Bouchat, J., Tronquo, E., Orban, A., de Macedo, K.A., Davidson, M., Verhoest, N.E., and Defourny, P. (2024). “The BELSAR dataset: Mono- and bistatic full-pol L-band SAR for agriculture and hydrology.” Scientific Data, Vol. 11, No. 1, 513.

10.1038/s41597-024-03320-138769397PMC11106341
9

Chung, J., Lee, Y., Kim, J., Jang, W., and Kim, S. (2023). “A study on C-band synthetic aperture radar soil moisture estimation based on machine learning using soil physics, topography, and hydrological information.” Geo Data, GAIDAS, Vol. 5, No. 3, pp. 137-146.

10.22761/GD.2023.0026
10

Cloude, S. (2010). Polarisation: Applications in remote sensing. Oxford University Press, Oxford, U.K.

10.1093/acprof:oso/9780199569731.001.0001
11

Cloude, S.R., and Pottier, E. (1996). “A review of target decomposition theorems in radar polarimetry.” IEEE Transactions on Geoscience and Remote Sensing, IEEE, Vol. 34, No. 2, pp. 498-518.

10.1109/36.485127
12

Cloude, S.R., and Pottier, E. (1997). “An entropy based classification scheme for land applications of polarimetric SAR.” IEEE Transactions on Geoscience and Remote Sensing, IEEE, Vol. 35, No. 1, pp. 68-78.

10.1109/36.551935
13

European Space Agency (ESA) (2023). PolINSAR-BIOMASS 2023 Workshop summaries and recommendations, accessed 3 November 2025, <https://polinsar-biomass2023.esa.int/iframe-agenda/files/175-PolINSAR2023_summaries-and-recommendation_final.pdf>.

14

Fersch, B., Jagdhuber, T., Schrön, M., Völksch, I., and Jäger, M. (2018). “Synergies for soil moisture retrieval across scales from airborne polarimetric SAR, cosmic ray neutron roving, and an in situ sensor network.” Water Resources Research, AGU, Vol. 54, No. 11, pp. 9364-9383.

10.1029/2018WR023337
15

Freeman, A., and Durden, S.L. (1998). “A three-component scattering model for polarimetric SAR data.” IEEE Transactions on Geoscience and Remote Sensing, IEEE, Vol. 36, No. 3, pp. 963-973.

10.1109/36.673687
16

German Aerospace Center (DLR) and European Space Agency (ESA) (2025). Raise the curtain as BIOMASS takes centre stage - Earth’s ‘lung volume detector’, accessed 3 November 2025, <https://www.dlr.de/en/latest/news/2025/raise-the-curtain-as-biomass-takes-centre-stage-earth-s-lung-volume-detector>.

17

Gharechelou, S., Tateishi, R., Sri Sumantyo, J.T., and Johnson, B.A. (2021). “Soil moisture retrieval using polarimetric SAR data and experimental observations in an arid environment.” ISPRS International Journal of Geo-Information, MDPI, Vol. 10, No. 10, 711.

10.3390/ijgi10100711
18

Goïta, K., Magagi, R., Beauregard, V., and Wang, H. (2023). “Retrieval of surface soil moisture over wheat fields during growing season using C-band polarimetric SAR data.” Remote Sensing, MDPI, Vol. 15, No. 20, 4925.

10.3390/rs15204925
19

Hajnsek, I., Pottier, E., and Cloude, S.R. (2003). “Inversion of surface parameters from polarimetric SAR.” IEEE Transactions on Geoscience and Remote Sensing, IEEE, Vol. 41, No. 4, pp. 727-744.

10.1109/TGRS.2003.810702
20

Hemati, M., Mahdianpari, M., Shiri, H., and Mohammadimanesh, F. (2025). “Comparative analysis of UAVSAR polarimetric decompositions for wetland aboveground biomass mapping using machine learning models.” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Copernicus Publications, Dresden, Germany, Vol. 48, pp. 19-25.

10.5194/isprs-archives-XLVIII-M-8-2025-19-2025
21

Henderson, F.M., and Lewis, A.J. (1998). Principles and applications of imaging radar: Manual of remote sensing, Third edition, Volume 2. American Society for Photogrammetry and Remote Sensing, Bethesda, MD, U.S.

22

Hess, L.L., Melack, J.M., and Simonett, D.S. (1990). “Radar detection of flooding beneath the forest canopy: A review.” International Journal of Remote Sensing, Taylor & Francis, Vol. 11, No. 7, pp. 1313-1325.

10.1080/01431169008955095
23

Hong, S.H., Kim, H.O., Wdowinski, S., and Feliciano, E. (2015). “Evaluation of polarimetric SAR decomposition for classifying wetland vegetation types.” Remote Sensing, MDPI, Vol. 7, No. 7, pp. 8563-8585.

10.3390/rs70708563
24

Huang, X., Runkle, B.R., Isbell, M., Moreno-García, B., McNairn, H., Reba, M.L., and Torbick, N. (2021). “Rice inundation assessment using polarimetric UAVSAR data.” Earth and Space Science, AGU, Vol. 8, No. 3, e2020EA001554.

10.1029/2020EA00155433791393PMC7988656
25

Jia, J., Sun, H., Jiang, C., Karila, K., Karjalainen, M., Ahokas, E., Khoramshahi, E., Hu, P., Chen, C., Xue, T., Wang, T., Chen, Y., and Hyyppä, J. (2021). “Review on active and passive remote sensing techniques for road extraction.” Remote Sensing, MDPI, Vol. 13, No. 21, 4235.

10.3390/rs13214235
26

Jung, Y.T., Park, S.E., Baek, C.S., and Kim, D.H. (2018). “Evaluation of polarimetric parameters for flood detection using PALSAR-2 quad-pol data.” Korean Journal of Remote Sensing, KSRS, Vol. 34, No. 1, pp. 117-126.

27

Karachristos, K., Koukiou, G., and Anastassopoulos, V. (2024). “A review on PolSAR decompositions for feature extraction.” Journal of Imaging, MDPI, Vol. 10, No. 4, 75.

10.3390/jimaging1004007538667973PMC11051452
28

Lee, J., Janizadeh, S., Melancon, A., Bateni, S.M., Kim, D., Molthan, A., Jun, C., Farhadiani, R., Homayouni, S., and Dinka, M. (2025). “Flood detection using PolSAR decomposition, feature selection, and deep learning.” Gondwana Research (In Press). doi: 10.1016/j.gr.2025.06.022.

10.1016/j.gr.2025.06.022
29

Lee, J.-S., and Pottier, E. (2017). Polarimetric radar imaging: From basics to applications. CRC Press, Boca Raton, FL, U.S.

10.1201/9781420054989
30

Magagi, R., Jammali, S., Goïta, K., Wang, H., and Colliander, A. (2022). “Potential of L- and C-bands polarimetric SAR data for monitoring soil moisture over forested sites.” Remote Sensing, MDPI, Vol. 14, No. 21, 5317.

10.3390/rs14215317
31

Marechal, C., Pottier, E., Allain-Bailhache, S., Meric, S., Hubert-Moy, L., and Corgne, S. (2011). “Mapping dynamic wetland processes with a one year RADARSAT-2 quad pol time-series.” Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), IEEE, Vancouver, BC, Canada, pp. 126-129.

10.1109/IGARSS.2011.6048914
32

Marechal, C., Pottier, E., Hubert-Moy, L., Corgne, S., Allain-Bailhache, S., and Méric, S. (2010). “Spaceborne fully polarimetric time-series datasets for land cover analysis.” Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), IEEE, Honolulu, HI, U.S., pp. 859-862.

10.1109/IGARSS.2010.5654458
33

Merzouki, A., McNairn, H., Powers, J., and Friesen, M. (2019). “Synthetic aperture radar (SAR) compact polarimetry for soil moisture retrieval.” Remote Sensing, MDPI, Vol. 11, No. 19, 2227.

10.3390/rs11192227
34

Millard, K., and Richardson, M. (2018). “Quantifying the relative contributions of vegetation and soil moisture conditions to polarimetric C-band SAR response in a temperate peatland.” Remote Sensing of Environment, Elsevier, Vol. 206, pp. 123-138.

10.1016/j.rse.2017.12.011
35

Mleczko, M., Mroz, M., and Fitrzyk, M. (2016). “Wetland mapping with SAR quad-pol data acquired during TanDEM-X Science Phase.” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS, Vol. 41, pp. 809-813.

10.5194/isprsarchives-XLI-B7-809-2016
36

Najem, S., Baghdadi, N., Bazzi, H., Zribi, M., Pandey, D.K., and Sekhar, M. (2025). “Bare surface soil moisture and surface roughness estimation using multi-band multi-polarization NISAR-like SAR data.” Frontiers in Remote Sensing, Frontiers Media S.A., Vol. 6, 1613748.

10.3389/frsen.2025.1613748
37

National Aeronautics and Space Administration (NASA) and Indian Space Research Organisation (ISRO) (2025). NISAR (NASA-ISRO Synthetic Aperture Radar) mission overview, accessed 3 November 2025, <https://www.eoportal.org/satellite-missions/nisar>.

38

Park, S.E., Jung, Y.T., and Kim, H.C. (2022). “Monitoring permafrost changes in central Yakutia using optical and polarimetric SAR data.” Remote Sensing of Environment, Elsevier, Vol. 274, 112989.

10.1016/j.rse.2022.112989
39

Plank, S., Jüssi, M., Martinis, S., and Twele, A. (2017). “Mapping of flooded vegetation by means of polarimetric Sentinel-1 and ALOS-2/PALSAR-2 imagery.” International Journal of Remote Sensing, Taylor & Francis, Vol. 38, No. 13, pp. 3831-3850.

10.1080/01431161.2017.1306143
40

Qian, J., Yang, J., Sun, W., Zhao, L., Shi, L., Shi, H., Dang, C., and Dou, Q. (2024). “Application potential and spatiotemporal uncertainty assessment of multi-layer soil moisture estimation in different climate zones using multi-source data.” Journal of Hydrology, Elsevier, Vol. 645, 132229.

10.1016/j.jhydrol.2024.132229
41

Rao, Y.S., and Venkataraman, G. (2011). Soil moisture mapping using ALOS PALSAR polarimetric data. Technical Report, PI381-1, JAXA, Tsukuba, Japan.

42

Salem, A., and Hashemi-Beni, L. (2022). “Inundated vegetation mapping using SAR data: A comparison of polarization configurations of UAVSAR L-band and Sentinel C-band.” Remote Sensing, MDPI, Vol. 14, No. 24, 6374.

10.3390/rs14246374
43

Shan, Z., Zhang, H., Wang, C., Wu, F., Zhang, B., and Tang, Y. (2012). “A modified model-based SAR target decomposition method for polarimetric data.” Proceedings of Fringe 2011, ESA, Frascati, Italy, Vol. 697, p. 46.

44

Sharma, A.K., Hubert-Moy, L., Sriramulu, B., Sekhar, M., Ruiz, L., Bandyopadhyay, S., and Corgne, S. (2019). “Evaluation of Radarsat-2 quad-pol SAR time-series images for monitoring groundwater irrigation.” International Journal of Digital Earth, Taylor & Francis, Vol. 12, No. 10, pp. 1177-1197.

10.1080/17538947.2019.1604834
45

Shokr, M., and Dabboor, M. (2024). “Angular variation of SAR polarimetric parameters over multiyear ice.” International Journal of Remote Sensing, Taylor & Francis, Vol. 45, No. 22, pp. 7996-8014.

10.1080/01431161.2024.2394237
46

Singh, S., Durand, M., Kim, E., and Barros, A.P. (2024). “Bayesian physical-statistical retrieval of snow water equivalent and snow depth from X- and Ku-band synthetic aperture radar - demonstration using airborne SnowSAR in SnowEx’17.” The Cryosphere, EGU, Vol. 18, No. 2, pp. 747-773.

10.5194/tc-18-747-2024
47

Sterratt, B., Marino, A., Silva-Perez, C., Page, G., Hunter, P., and Subke, J.A. (2024). “Peatland water table depth monitoring using quad-polarimetric L-band SAR.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, Vol. 18, pp. 5824-5837.

10.1109/JSTARS.2024.3523997
48

Thulasiraman, D., Haldar, D., Kumar, S., Ramathilagam, A.B., and Patel, N.R. (2024). “Pearl millet crop biophysical parameter retrieval from space borne polarimetric SAR data using machine learning.” Earth and Space Science, AGU, Vol. 11, No. 1, e2022EA002799.

10.1029/2022EA002799
49

Touzi, R., Pawley, S.M., Wilson, P., Jiao, X., Hosseini, M., and Shimada, M. (2023). “Polarimetric L-band ALOS2-PALSAR2 for discontinuous permafrost mapping in peatland regions.” Remote Sensing, MDPI, Vol. 15, No. 9, 2312.

10.3390/rs15092312
50

Verma, S., Kumar, S., and Dsouza, H. (2023). “Polarimetric decomposition and machine learning-based classification of L- and S-band airborne SAR (LS-ASAR) data.” Earth and Space Science, AGU, Vol. 10, No. 6, e2022EA002796.

10.1029/2022EA002796
51

White, L., Brisco, B., Dabboor, M., Schmitt, A., and Pratt, A. (2015). “A collection of SAR methodologies for monitoring wetlands.” Remote Sensing, MDPI, Vol. 7, No. 6, pp. 7615-7645.

10.3390/rs70607615
52

Yamaguchi, Y., Moriyama, T., Ishido, M., and Yamada, H. (2005). “Four-component scattering model for polarimetric SAR image decomposition.” IEEE Transactions on Geoscience and Remote Sensing, IEEE, Vol. 43, No. 8, pp. 1699-1706.

10.1109/TGRS.2005.852084
53

Yoon, S.S., and Lim, S.H. (2021). “Analyzing the application of X-band radar for improving rainfall observation and flood forecasting in Yeongdong, South Korea.” Remote Sensing, MDPI, Vol. 14, No. 1, 43.

10.3390/rs14010043
54

Zhao, L., Xie, T., Perrie, W., and Yang, J. (2024). “Sea ice detection from RADARSAT-2 quad-polarization SAR imagery based on co- and cross-polarization ratio.” Remote Sensing, MDPI, Vol. 16, No. 3, 515.

10.3390/rs16030515
Information
  • Publisher :KOREA WATER RESOURECES ASSOCIATION
  • Publisher(Ko) :한국수자원학회
  • Journal Title :Journal of Korea Water Resources Association
  • Journal Title(Ko) :한국수자원학회 논문집
  • Volume : 59
  • No :1
  • Pages :1-15
  • Received Date : 2025-11-14
  • Accepted Date : 2025-12-04