|
| 1 | +<?xml version="1.0" encoding="UTF-8"?> |
| 2 | +<doi_batch xmlns="http://www.crossref.org/schema/5.3.1" |
| 3 | + xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" |
| 4 | + xmlns:rel="http://www.crossref.org/relations.xsd" |
| 5 | + xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" |
| 6 | + version="5.3.1" |
| 7 | + xsi:schemaLocation="http://www.crossref.org/schema/5.3.1 http://www.crossref.org/schemas/crossref5.3.1.xsd"> |
| 8 | + <head> |
| 9 | + <doi_batch_id>20260423212736-904149950385a383ef1d866a3041c09adc089f12</doi_batch_id> |
| 10 | + <timestamp>20260423212736</timestamp> |
| 11 | + <depositor> |
| 12 | + <depositor_name>JOSS Admin</depositor_name> |
| 13 | + <email_address>admin@theoj.org</email_address> |
| 14 | + </depositor> |
| 15 | + <registrant>The Open Journal</registrant> |
| 16 | + </head> |
| 17 | + <body> |
| 18 | + <journal> |
| 19 | + <journal_metadata> |
| 20 | + <full_title>Journal of Open Source Software</full_title> |
| 21 | + <abbrev_title>JOSS</abbrev_title> |
| 22 | + <issn media_type="electronic">2475-9066</issn> |
| 23 | + <doi_data> |
| 24 | + <doi>10.21105/joss</doi> |
| 25 | + <resource>https://joss.theoj.org</resource> |
| 26 | + </doi_data> |
| 27 | + </journal_metadata> |
| 28 | + <journal_issue> |
| 29 | + <publication_date media_type="online"> |
| 30 | + <month>04</month> |
| 31 | + <year>2026</year> |
| 32 | + </publication_date> |
| 33 | + <journal_volume> |
| 34 | + <volume>11</volume> |
| 35 | + </journal_volume> |
| 36 | + <issue>120</issue> |
| 37 | + </journal_issue> |
| 38 | + <journal_article publication_type="full_text"> |
| 39 | + <titles> |
| 40 | + <title>SenSE: Community SAR ScattEring model</title> |
| 41 | + </titles> |
| 42 | + <contributors> |
| 43 | + <person_name sequence="first" contributor_role="author"> |
| 44 | + <given_name>Thomas</given_name> |
| 45 | + <surname>Weiß</surname> |
| 46 | + <affiliations> |
| 47 | + <institution><institution_name>Department of Geography, Ludwig-Maximilians-Universität München, 80333 Munich, Germany</institution_name></institution> |
| 48 | + <institution><institution_name>Geodesy and Geoinformatics, University of Rostock, Justus-von-Liebig-Weg 6, 18059 Rostock, Germany</institution_name></institution> |
| 49 | + <institution><institution_name>Fraunhofer Institute for Computer Graphics Research IGD, Joachim-Junigus-Straße 11, 18059 Rostock, Germany</institution_name></institution> |
| 50 | + </affiliations> |
| 51 | + <ORCID>https://orcid.org/0000-0001-5278-8379</ORCID> |
| 52 | + </person_name> |
| 53 | + <person_name sequence="additional" |
| 54 | + contributor_role="author"> |
| 55 | + <given_name>Alexander</given_name> |
| 56 | + <surname>Löw</surname> |
| 57 | + <affiliations> |
| 58 | + <institution><institution_name>Department of Geography, Ludwig-Maximilians-Universität München, 80333 Munich, Germany</institution_name></institution> |
| 59 | + </affiliations> |
| 60 | + </person_name> |
| 61 | + </contributors> |
| 62 | + <publication_date> |
| 63 | + <month>04</month> |
| 64 | + <day>23</day> |
| 65 | + <year>2026</year> |
| 66 | + </publication_date> |
| 67 | + <pages> |
| 68 | + <first_page>7612</first_page> |
| 69 | + </pages> |
| 70 | + <publisher_item> |
| 71 | + <identifier id_type="doi">10.21105/joss.07612</identifier> |
| 72 | + </publisher_item> |
| 73 | + <ai:program name="AccessIndicators"> |
| 74 | + <ai:license_ref applies_to="vor">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> |
| 75 | + <ai:license_ref applies_to="am">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> |
| 76 | + <ai:license_ref applies_to="tdm">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> |
| 77 | + </ai:program> |
| 78 | + <rel:program> |
| 79 | + <rel:related_item> |
| 80 | + <rel:description>Software archive</rel:description> |
| 81 | + <rel:inter_work_relation relationship-type="references" identifier-type="doi">10.5281/zenodo.19376069</rel:inter_work_relation> |
| 82 | + </rel:related_item> |
| 83 | + <rel:related_item> |
| 84 | + <rel:description>GitHub review issue</rel:description> |
| 85 | + <rel:inter_work_relation relationship-type="hasReview" identifier-type="uri">https://github.com/openjournals/joss-reviews/issues/7612</rel:inter_work_relation> |
| 86 | + </rel:related_item> |
| 87 | + </rel:program> |
| 88 | + <doi_data> |
| 89 | + <doi>10.21105/joss.07612</doi> |
| 90 | + <resource>https://joss.theoj.org/papers/10.21105/joss.07612</resource> |
| 91 | + <collection property="text-mining"> |
| 92 | + <item> |
| 93 | + <resource mime_type="application/pdf">https://joss.theoj.org/papers/10.21105/joss.07612.pdf</resource> |
| 94 | + </item> |
| 95 | + </collection> |
| 96 | + </doi_data> |
| 97 | + <citation_list> |
| 98 | + <citation key="de_roo_semi-empirical_2001"> |
| 99 | + <article_title>A semi-empirical backscattering model at L-band and C-band for a soybean canopy with soil moisture inversion</article_title> |
| 100 | + <author>Roo</author> |
| 101 | + <journal_title>IEEE Transactions on Geoscience and Remote Sensing</journal_title> |
| 102 | + <issue>4</issue> |
| 103 | + <volume>39</volume> |
| 104 | + <doi>10.1109/36.917912</doi> |
| 105 | + <issn>1558-0644</issn> |
| 106 | + <cYear>2001</cYear> |
| 107 | + <unstructured_citation>Roo, R. D. de, Du, Y., Ulaby, F. T., & Dobson, M. C. (2001). A semi-empirical backscattering model at L-band and C-band for a soybean canopy with soil moisture inversion. IEEE Transactions on Geoscience and Remote Sensing, 39(4), 864–872. https://doi.org/10.1109/36.917912</unstructured_citation> |
| 108 | + </citation> |
| 109 | + <citation key="dubois_measuring_1995"> |
| 110 | + <article_title>Measuring soil moisture with imaging radars</article_title> |
| 111 | + <author>Dubois</author> |
| 112 | + <journal_title>IEEE Transactions on Geoscience and Remote Sensing</journal_title> |
| 113 | + <issue>4</issue> |
| 114 | + <volume>33</volume> |
| 115 | + <doi>10.1109/36.406677</doi> |
| 116 | + <issn>1558-0644</issn> |
| 117 | + <cYear>1995</cYear> |
| 118 | + <unstructured_citation>Dubois, P. C., Zyl, J. van, & Engman, T. (1995). Measuring soil moisture with imaging radars. IEEE Transactions on Geoscience and Remote Sensing, 33(4), 915–926. https://doi.org/10.1109/36.406677</unstructured_citation> |
| 119 | + </citation> |
| 120 | + <citation key="dobson_microwave_1985"> |
| 121 | + <article_title>Microwave Dielectric Behavior of Wet Soil-Part II: Dielectric Mixing Models</article_title> |
| 122 | + <author>Dobson</author> |
| 123 | + <journal_title>IEEE Transactions on Geoscience and Remote Sensing</journal_title> |
| 124 | + <issue>1</issue> |
| 125 | + <volume>GE-23</volume> |
| 126 | + <doi>10.1109/TGRS.1985.289498</doi> |
| 127 | + <issn>1558-0644</issn> |
| 128 | + <cYear>1985</cYear> |
| 129 | + <unstructured_citation>Dobson, M. C., Ulaby, F. T., Hallikainen, M. T., & El-rayes, M. A. (1985). Microwave Dielectric Behavior of Wet Soil-Part II: Dielectric Mixing Models. IEEE Transactions on Geoscience and Remote Sensing, GE-23(1), 35–46. https://doi.org/10.1109/TGRS.1985.289498</unstructured_citation> |
| 130 | + </citation> |
| 131 | + <citation key="fung_backscattering_1992"> |
| 132 | + <article_title>Backscattering from a randomly rough dielectric surface</article_title> |
| 133 | + <author>Fung</author> |
| 134 | + <journal_title>IEEE Transactions on Geoscience and Remote Sensing</journal_title> |
| 135 | + <issue>2</issue> |
| 136 | + <volume>30</volume> |
| 137 | + <doi>10.1109/36.134085</doi> |
| 138 | + <cYear>1992</cYear> |
| 139 | + <unstructured_citation>Fung, A. K., Li, Z., & Chen, K. S. (1992). Backscattering from a randomly rough dielectric surface. IEEE Transactions on Geoscience and Remote Sensing, 30(2), 356–369. https://doi.org/10.1109/36.134085</unstructured_citation> |
| 140 | + </citation> |
| 141 | + <citation key="oh_empirical_1992"> |
| 142 | + <article_title>An empirical model and an inversion technique for radar scattering from bare soil surfaces</article_title> |
| 143 | + <author>Oh</author> |
| 144 | + <journal_title>IEEE Transactions on Geoscience and Remote Sensing</journal_title> |
| 145 | + <issue>2</issue> |
| 146 | + <volume>30</volume> |
| 147 | + <doi>10.1109/36.134086</doi> |
| 148 | + <issn>0196-2892</issn> |
| 149 | + <cYear>1992</cYear> |
| 150 | + <unstructured_citation>Oh, Y., Sarabandi, K., & Ulaby, F. T. (1992). An empirical model and an inversion technique for radar scattering from bare soil surfaces. IEEE Transactions on Geoscience and Remote Sensing, 30(2), 370–381. https://doi.org/10.1109/36.134086</unstructured_citation> |
| 151 | + </citation> |
| 152 | + <citation key="yisok_oh_quantitative_2004"> |
| 153 | + <article_title>Quantitative retrieval of soil moisture content and surface roughness from multipolarized radar observations of bare soil surfaces</article_title> |
| 154 | + <author>Oh</author> |
| 155 | + <journal_title>IEEE Transactions on Geoscience and Remote Sensing</journal_title> |
| 156 | + <issue>3</issue> |
| 157 | + <volume>42</volume> |
| 158 | + <doi>10.1109/TGRS.2003.821065</doi> |
| 159 | + <issn>1558-0644</issn> |
| 160 | + <cYear>2004</cYear> |
| 161 | + <unstructured_citation>Oh, Y. (2004). Quantitative retrieval of soil moisture content and surface roughness from multipolarized radar observations of bare soil surfaces. IEEE Transactions on Geoscience and Remote Sensing, 42(3), 596–601. https://doi.org/10.1109/TGRS.2003.821065</unstructured_citation> |
| 162 | + </citation> |
| 163 | + <citation key="weis_evaluation_2020"> |
| 164 | + <article_title>Evaluation of Different Radiative Transfer Models for Microwave Backscatter Estimation of Wheat Fields</article_title> |
| 165 | + <author>Weiß</author> |
| 166 | + <journal_title>Remote Sensing</journal_title> |
| 167 | + <issue>18</issue> |
| 168 | + <volume>12</volume> |
| 169 | + <doi>10.3390/rs12183037</doi> |
| 170 | + <cYear>2020</cYear> |
| 171 | + <unstructured_citation>Weiß, T., Ramsauer, T., Löw, A., & Marzahn, P. (2020). Evaluation of Different Radiative Transfer Models for Microwave Backscatter Estimation of Wheat Fields. Remote Sensing, 12(18). https://doi.org/10.3390/rs12183037</unstructured_citation> |
| 172 | + </citation> |
| 173 | + <citation key="weis_sentinel-1_2021"> |
| 174 | + <article_title>Sentinel-1 Backscatter Analysis and Radiative Transfer Modeling of Dense Winter Wheat Time Series</article_title> |
| 175 | + <author>Weiß</author> |
| 176 | + <journal_title>Remote Sensing</journal_title> |
| 177 | + <issue>12</issue> |
| 178 | + <volume>13</volume> |
| 179 | + <doi>10.3390/rs13122320</doi> |
| 180 | + <issn>2072-4292</issn> |
| 181 | + <cYear>2021</cYear> |
| 182 | + <unstructured_citation>Weiß, T., Ramsauer, T., Jagdhuber, T., Löw, A., & Marzahn, P. (2021). Sentinel-1 Backscatter Analysis and Radiative Transfer Modeling of Dense Winter Wheat Time Series. Remote Sensing, 13(12). https://doi.org/10.3390/rs13122320</unstructured_citation> |
| 183 | + </citation> |
| 184 | + <citation key="attema_vegetation_1978"> |
| 185 | + <article_title>Vegetation modeled as a water cloud</article_title> |
| 186 | + <author>Attema</author> |
| 187 | + <journal_title>Radio Science</journal_title> |
| 188 | + <issue>2</issue> |
| 189 | + <volume>13</volume> |
| 190 | + <doi>10.1029/RS013i002p00357</doi> |
| 191 | + <issn>1944-799X</issn> |
| 192 | + <cYear>1978</cYear> |
| 193 | + <unstructured_citation>Attema, E. P. W., & Ulaby, F. T. (1978). Vegetation modeled as a water cloud. Radio Science, 13(2), 357–364. https://doi.org/10.1029/RS013i002p00357</unstructured_citation> |
| 194 | + </citation> |
| 195 | + <citation key="ulaby_microwave_2014"> |
| 196 | + <volume_title>Microwave radar and radiometric remote sensing</volume_title> |
| 197 | + <author>Ulaby</author> |
| 198 | + <doi>10.3998/0472119356</doi> |
| 199 | + <isbn>978-0-472-11935-6</isbn> |
| 200 | + <cYear>2014</cYear> |
| 201 | + <unstructured_citation>Ulaby, F. T., & Long, D. G. (2014). Microwave radar and radiometric remote sensing. University of Michigan press. https://doi.org/10.3998/0472119356</unstructured_citation> |
| 202 | + </citation> |
| 203 | + <citation key="weis_rtm-based_2024"> |
| 204 | + <article_title>RTM-Based Downscaling of Medium Resolution Soil Moisture Using Sentinel-1 Data Over Agricultural Fields</article_title> |
| 205 | + <author>Weiß</author> |
| 206 | + <journal_title>IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing</journal_title> |
| 207 | + <volume>17</volume> |
| 208 | + <doi>10.1109/JSTARS.2024.3448625</doi> |
| 209 | + <issn>2151-1535</issn> |
| 210 | + <cYear>2024</cYear> |
| 211 | + <unstructured_citation>Weiß, T., Jagdhuber, T., Ramsauer, T., Löw, A., & Marzahn, P. (2024). RTM-Based Downscaling of Medium Resolution Soil Moisture Using Sentinel-1 Data Over Agricultural Fields. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 15463–15479. https://doi.org/10.1109/JSTARS.2024.3448625</unstructured_citation> |
| 212 | + </citation> |
| 213 | + </citation_list> |
| 214 | + </journal_article> |
| 215 | + </journal> |
| 216 | + </body> |
| 217 | +</doi_batch> |
0 commit comments