{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T14:29:36Z","timestamp":1775226576252,"version":"3.50.1"},"reference-count":51,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T00:00:00Z","timestamp":1710288000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Joint Funds of the National Natural Science Foundation of China","award":["U22A2010"],"award-info":[{"award-number":["U22A2010"]}]},{"name":"Joint Funds of the National Natural Science Foundation of China","award":["ZZYJZD2022001"],"award-info":[{"award-number":["ZZYJZD2022001"]}]},{"name":"Joint Funds of the National Natural Science Foundation of China","award":["62071258"],"award-info":[{"award-number":["62071258"]}]},{"name":"Joint Funds of the National Natural Science Foundation of China","award":["52064039"],"award-info":[{"award-number":["52064039"]}]},{"name":"Joint Funds of the National Natural Science Foundation of China","award":["52304173"],"award-info":[{"award-number":["52304173"]}]},{"name":"Center for Applied Mathematics of Inner Mongolia","award":["U22A2010"],"award-info":[{"award-number":["U22A2010"]}]},{"name":"Center for Applied Mathematics of Inner Mongolia","award":["ZZYJZD2022001"],"award-info":[{"award-number":["ZZYJZD2022001"]}]},{"name":"Center for Applied Mathematics of Inner Mongolia","award":["62071258"],"award-info":[{"award-number":["62071258"]}]},{"name":"Center for Applied Mathematics of Inner Mongolia","award":["52064039"],"award-info":[{"award-number":["52064039"]}]},{"name":"Center for Applied Mathematics of Inner Mongolia","award":["52304173"],"award-info":[{"award-number":["52304173"]}]},{"name":"National Natural Science Foundation of China","award":["U22A2010"],"award-info":[{"award-number":["U22A2010"]}]},{"name":"National Natural Science Foundation of China","award":["ZZYJZD2022001"],"award-info":[{"award-number":["ZZYJZD2022001"]}]},{"name":"National Natural Science Foundation of China","award":["62071258"],"award-info":[{"award-number":["62071258"]}]},{"name":"National Natural Science Foundation of China","award":["52064039"],"award-info":[{"award-number":["52064039"]}]},{"name":"National Natural Science Foundation of China","award":["52304173"],"award-info":[{"award-number":["52304173"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Polarimetric target decomposition algorithms have played an important role in extracting the scattering characteristics of buildings, crops, and other fields. However, there is limited research on the scattering characteristics of grasslands and a lack of volume scattering models established for grasslands. To improve the accuracy of the polarimetric target decomposition algorithm applicable to grassland environments, this paper proposes an adaptive polarimetric target decomposition algorithm (APD) based on the anisotropy degree (A). The adaptive volume scattering model is used in APD to model volume scattering in forest and grassland regions separately by adjusting the value of A. When A &gt; 1, the particle shape becomes a disk, and the grassland canopy is approximated as a cloud layer composed of randomly oriented disk particles; when A &lt; 1, the particle shape is a needle, simulating the scattering mechanism of forests. APD is applied to an L-band AirSAR dataset from San Francisco, a C-band AirSAR dataset from Hunshandak grassland in Inner Mongolia Autonomous Region, and an X-band COSMO-SkyMed dataset from Xiwuqi grassland in Inner Mongolia Autonomous Region to verify the effectiveness of this method. Comparison studies are carried out to test the performance of APD over several target decomposition algorithms. The experimental results show that APD outperforms the algorithms tested in terms of this study in decomposition accuracy for grasslands and forests on different bands of data.<\/jats:p>","DOI":"10.3390\/rs16061015","type":"journal-article","created":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T13:08:43Z","timestamp":1710335323000},"page":"1015","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["An Adaptive Polarimetric Target Decomposition Algorithm Based on the Anisotropic Degree"],"prefix":"10.3390","volume":"16","author":[{"given":"Pingping","family":"Huang","sequence":"first","affiliation":[{"name":"College of Information Engineering, Inner Mongolia University of Technology, Hohhot 010051, China"},{"name":"Inner Mongolia Key Laboratory of Radar Technology and Application, Hohhot 010051, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Baoyu","family":"Li","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Inner Mongolia University of Technology, Hohhot 010051, China"},{"name":"Inner Mongolia Key Laboratory of Radar Technology and Application, Hohhot 010051, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiujuan","family":"Li","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Inner Mongolia University of Technology, Hohhot 010051, China"},{"name":"Inner Mongolia Key Laboratory of Radar Technology and Application, Hohhot 010051, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9071-9470","authenticated-orcid":false,"given":"Weixian","family":"Tan","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Inner Mongolia University of Technology, Hohhot 010051, China"},{"name":"Inner Mongolia Key Laboratory of Radar Technology and Application, Hohhot 010051, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8045-8817","authenticated-orcid":false,"given":"Wei","family":"Xu","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Inner Mongolia University of Technology, Hohhot 010051, China"},{"name":"Inner Mongolia Key Laboratory of Radar Technology and Application, Hohhot 010051, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuejuan","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Inner Mongolia University of Technology, Hohhot 010051, China"},{"name":"Inner Mongolia Key Laboratory of Radar Technology and Application, Hohhot 010051, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"649","DOI":"10.1093\/jpe\/rtw005","article-title":"Satellite remote sensing of grasslands: From observation to management","volume":"9","author":"Ali","year":"2016","journal-title":"J. Plant Ecol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"442","DOI":"10.1109\/TGRS.2008.2009642","article-title":"Potential of Estimating Soil Moisture Under Vegetation Cover by Means of PolSAR","volume":"47","author":"Hajnsek","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.isprsjprs.2020.09.016","article-title":"Automatic registration of a single SAR image and GIS building footprints in a large-scale urban area","volume":"170","author":"Sun","year":"2020","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"5449","DOI":"10.1007\/s00521-019-04624-9","article-title":"Spectral Classification of Ecological Spatial Polarization SAR Image Based on Target Decomposition Algorithm and Machine Learning","volume":"32","author":"Chen","year":"2020","journal-title":"Neural. Comput. Appl."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1109\/TGRS.2010.2056375","article-title":"Coherence, Polarization, and Statistical Independence in Cloude\u2013Pottier\u2019s Radar Polarimetry","volume":"49","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_6","unstructured":"Song, Q., and Xu, F. (2016, January 8\u201311). Polarimetric SAR Target Decomposition based on sparse NMF. Proceedings of the 2016 Progress in Electromagnetic Research Symposium (PIERS), Shanghai, China."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2657","DOI":"10.1109\/JSTARS.2018.2818939","article-title":"Urban Damage Level Mapping Based on Co-Polarization Coherence Pattern Using Multitemporal Polarimetric SAR Data","volume":"11","author":"Chen","year":"2018","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"6919","DOI":"10.1109\/TGRS.2016.2588325","article-title":"Urban Damage Level Mapping Based on Scattering Mechanism Investigation Using Fully Polarimetric SAR Data for the 3.11 East Japan Earthquake","volume":"54","author":"Chen","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1863","DOI":"10.1016\/j.asr.2020.07.007","article-title":"Sensitivity of PolSAR decomposition to forest disturbance and regrowth dynamics in a managed forest","volume":"66","author":"Musthafa","year":"2020","journal-title":"Adv. Space Res."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"694","DOI":"10.1080\/01431161.2015.1136448","article-title":"Analysis of different polarimetric target decomposition methods in forest density classification using C band SAR data","volume":"37","author":"Varghese","year":"2016","journal-title":"Int. J. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"197896","DOI":"10.1109\/ACCESS.2020.3035235","article-title":"Soil Moisture Inversion Via Semiempirical and Machine Learning Methods with Full-Polarization Radarsat-2 and Polarimetric Target Decomposition Data: A Comparative Study","volume":"8","author":"Acar","year":"2020","journal-title":"IEEE Access"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"5707","DOI":"10.1109\/JSTARS.2021.3083287","article-title":"Evaluation of Gaofen-3 C-Band SAR for Soil Moisture Retrieval Using Different Polarimetric Decomposition Models","volume":"14","author":"Zhang","year":"2021","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Zhang, X., Xu, J., Chen, Y., Xu, K., and Wang, D. (2021). Coastal Wetland Classification with GF-3 Polarimetric SAR Imagery by Using Object-Oriented Random Forest Algorithm. Sensors, 21.","DOI":"10.3390\/s21103395"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"498","DOI":"10.1109\/36.485127","article-title":"A Review of Target Decomposition Theorems in Radar Polarimetry","volume":"34","author":"Cloude","year":"1996","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1946","DOI":"10.1109\/JSTARS.2020.2990691","article-title":"A Modified Four-Component Decomposition Method With Refined Volume Scattering Models","volume":"13","author":"Wang","year":"2020","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1109\/LGRS.2006.869986","article-title":"A Four-Component Decomposition of POLSAR Images Based on the Coherency Matrix","volume":"3","author":"Yamaguchi","year":"2006","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1109\/LGRS.2011.2162935","article-title":"Four-Component Scattering Power Decomposition with Extended Volume Scattering Model","volume":"9","author":"Sato","year":"2012","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"77482","DOI":"10.1109\/ACCESS.2021.3082846","article-title":"An Improved Decomposition as a Trade-Off Between Utilizing Unitary Matrix Rotations and New Scattering Models","volume":"9","author":"Kumar","year":"2021","journal-title":"IEEE Access"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Freeman, A., and Durden, S.L. (1993, January 12). Three-component scattering model to describe polarimetric SAR data. Proceedings of the International Society for Optics and Photonics, San Diego, CA, USA.","DOI":"10.1117\/12.140618"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"3911","DOI":"10.1109\/JSTARS.2014.2371468","article-title":"An Iterative Generalized Hybrid Decomposition for Soil Moisture Retrieval Under Vegetation Cover Using Fully Polarimetric SAR","volume":"8","author":"Jagdhuber","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_21","first-page":"417","article-title":"Requirements for Model-Based Polarimetric Decompositions","volume":"Volume 5","author":"Arii","year":"2008","journal-title":"Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS)"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"3452","DOI":"10.1109\/TGRS.2010.2076285","article-title":"Model-based Decomposition of Polarimetric SAR Covariance Matrices Constrained for Nonnegative Eigenvalues","volume":"49","author":"Arii","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1109\/TGRS.2010.2048333","article-title":"The Effect of Orientation Angle Compensation on Coherency Matrix and Polarimetric Target Decompositions","volume":"49","author":"Lee","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"494","DOI":"10.1109\/LGRS.2020.2994540","article-title":"Target Decomposition Based on Symmetric Scattering Model for Hybrid Polarization SAR Imagery","volume":"18","author":"Yin","year":"2021","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1109\/MSP.2014.2312099","article-title":"Modeling and Interpretation of Scattering Mechanisms in Polarimetric Synthetic Aperture Radar: Advances and perspectives","volume":"31","author":"Chen","year":"2014","journal-title":"IEEE Signal Process. Mag."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Cloude, S.R. (2010). Polarisation: Applications in Remote Sensing, Oxford University Press.","DOI":"10.1093\/acprof:oso\/9780199569731.001.0001"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1109\/LGRS.2012.2193373","article-title":"Hybrid Freeman\/Eigenvalue Decomposition Method with Extended Volume Scattering Model","volume":"10","author":"Singh","year":"2013","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TGRS.2022.3215704","article-title":"Hybrid Three-Component Scattering Power Characterization From Polarimetric SAR Data Isolating Dominant Scattering Mechanisms","volume":"60","author":"Maurya","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1985","DOI":"10.1109\/TGRS.2012.2210050","article-title":"Tsunami Damage Investigation of Built-Up Areas Using Multitemporal Spaceborne Full Polarimetric SAR Images","volume":"51","author":"Chen","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"2251","DOI":"10.1109\/TGRS.2010.2099124","article-title":"Four-component scattering power decomposition with rotation of coherency matrix","volume":"49","author":"Yamaguchi","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2496","DOI":"10.1109\/LGRS.2015.2487450","article-title":"Model-Based Decomposition with Cross Scattering for Polarimetric SAR Urban Areas","volume":"12","author":"Xiang","year":"2015","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"8795","DOI":"10.1109\/JSTARS.2023.3314129","article-title":"Model-Based Polarimetric Target Decomposition with Power Redistribution for Urban Areas","volume":"16","author":"Hu","year":"2023","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"4339","DOI":"10.1109\/JSTARS.2020.3011735","article-title":"Seven-Component Decomposition Using Refined Volume Scattering Models and New Configurations of Mixed Dipoles","volume":"13","author":"Wang","year":"2020","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"270","DOI":"10.21629\/JSEE.2019.02.06","article-title":"Modified version of three-component model-based decomposition for polarimetric SAR data","volume":"30","author":"Zhang","year":"2019","journal-title":"J. Syst. Eng. Electron."},{"key":"ref_35","first-page":"1","article-title":"Polarimetric SAR Decomposition by Incorporating a Rotated Dihedral Scattering Model","volume":"19","author":"Han","year":"2022","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Yue, X., Teng, F., Lin, Y., and Hong, W. (2023). Target Scattering Feature Extraction Based on Parametric Model Using Multi-Aspect SAR Data. Remote Sens., 15.","DOI":"10.3390\/rs15071883"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1104","DOI":"10.1109\/TGRS.2010.2076285","article-title":"Adaptive Model-Based Decomposition of Polarimetric SAR Covariance Matrices","volume":"49","author":"Arii","year":"2010","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1843","DOI":"10.1109\/TGRS.2013.2255615","article-title":"General Polarimetric Model-Based Decomposition for Coherency Matrix","volume":"52","author":"Chen","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"2110","DOI":"10.1109\/LGRS.2015.2451369","article-title":"An adaptive general four-component scattering power decomposition with unitary transformation of coherency matrix (AG4U)","volume":"12","author":"Bhattacharya","year":"2015","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1559","DOI":"10.3390\/rs4061559","article-title":"Three-Component Power Decomposition for Polarimetric SAR Data Based on Adaptive Volume Scatter Modeling","volume":"4","author":"Cui","year":"2012","journal-title":"Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1705","DOI":"10.1109\/TGRS.2013.2253780","article-title":"Adaptive Model-Based Polarimetric Decomposition Using PolInSAR Coherence","volume":"52","author":"Chen","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"2573","DOI":"10.1109\/JSTARS.2020.2996801","article-title":"Demonstration and Analysis of an Extended Adaptive General Four-Component Decomposition","volume":"13","author":"Wang","year":"2020","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Wang, T., Suo, Z., Jiang, P., Ti, J., Ding, Z., and Qin, T. (2023). An Optimal Polarization SAR Three-Component Target Decomposition Based on Semi-Definite Programming. Remote Sens., 15.","DOI":"10.3390\/rs15225292"},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Wang, Z., Zeng, Q., and Jiao, J. (2021). An Adaptive Decomposition Approach with Dipole Aggregation Model for Polarimetric SAR Data. Remote Sens., 13.","DOI":"10.3390\/rs13132583"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"2583","DOI":"10.1109\/TGRS.2007.897929","article-title":"Fitting a Two-Component Scattering Model to Polarimetric SAR Data from Forests","volume":"45","author":"Freeman","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"3887","DOI":"10.1109\/JSTARS.2021.3069299","article-title":"A Model-Free Four Component Scattering Power Decomposition for Polarimetric SAR Data","volume":"14","author":"Dey","year":"2021","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"593","DOI":"10.1049\/iet-rsn.2017.0581","article-title":"Non-negative scattering power decomposition for PolSAR data interpretation","volume":"12","author":"Maurya","year":"2018","journal-title":"IET Radar Sonar Navig."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Li, X., Liu, Y., Huang, P., Liu, X., Tan, W., Fu, W., and Li, C. (2022). A Hybrid Polarimetric Target Decomposition Algorithm with Adaptive Volume Scattering Model. Remote Sens., 14.","DOI":"10.3390\/rs14102441"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"658","DOI":"10.1109\/LGRS.2018.2878654","article-title":"PolSAR Coherency Matrix Optimization Through Selective Unitary Rotations for Model-Based Decomposition Scheme","volume":"16","author":"Maurya","year":"2018","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_50","unstructured":"Manuel, L. (2000). Analysis and Estimation of Biophysical Parameters of Vegetation by Radar Polarimetry. [Ph.D. Thesis, Universidad Politecnica de Valencia]."},{"key":"ref_51","unstructured":"Liu, L. (2020). Research on Composite Electromagnetic Scattering from Grass-Containing Rough Surfaces and Targets, Xidian University."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/6\/1015\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T14:13:04Z","timestamp":1760105584000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/6\/1015"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,13]]},"references-count":51,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2024,3]]}},"alternative-id":["rs16061015"],"URL":"https:\/\/doi.org\/10.3390\/rs16061015","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,3,13]]}}}