{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T18:09:12Z","timestamp":1789754952270,"version":"4.0.1"},"reference-count":72,"publisher":"Public Library of Science (PLoS)","issue":"9","license":[{"start":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T00:00:00Z","timestamp":1789689600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001665","name":"Agence Nationale de la Recherche","doi-asserted-by":"publisher","award":["PEPR SOLU-BIOD - Living Lab Ponant"],"award-info":[{"award-number":["PEPR SOLU-BIOD - Living Lab Ponant"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001665","name":"Agence Nationale de la Recherche","doi-asserted-by":"publisher","award":["PEPR SOLU-BIOD - Living Lab Ponant"],"award-info":[{"award-number":["PEPR SOLU-BIOD - Living Lab Ponant"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:p>\n                    In operational coastal monitoring of spatially fragmented intertidal habitats, labelled datasets are structurally constrained by the limited spatial extent of target species, yet the relative influence of training strategy versus architecture on segmentation performance remains poorly characterised. We present a systematic ablation study disentangling these contributions for automated detection of the invasive cordgrass\n                    <jats:italic>Spartina<\/jats:italic>\n                    from very high resolution aerial imagery. Three segmentation architectures, U-Net, DeepLabV3\u2009+\u2009, and SegFormer-B2, were trained under twelve configurations spanning four training-strategy axes, each evaluated by five-fold cross-validation on 810 patches derived from aerial colour-infrared imagery and elevation data, yielding 180 training runs. Training strategy dominates architectural design: the gap between the best and worst strategy (\n                    <jats:inline-formula id=\"pone.0358464.e001\">\n                      <jats:alternatives>\n                        <jats:graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" id=\"pone.0358464.e001g\" mimetype=\"image\" position=\"anchor\" xlink:href=\"info:doi\/10.1371\/journal.pone.0358464.e001\" xlink:type=\"simple\"\/>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\" id=\"equation1\">\n                          <mml:mrow>\n                            <mml:mi>~<\/mml:mi>\n                          <\/mml:mrow>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    10\u2009pts of overlap accuracy) exceeds the inter-architecture spread (&lt;1\u2009pt) by an order of magnitude, and encoder freezing and the Tversky loss were systematically detrimental across all three architectures. The selected operational configuration achieves an F1-score of\n                    <jats:inline-formula id=\"pone.0358464.e002\">\n                      <jats:alternatives>\n                        <jats:graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" id=\"pone.0358464.e002g\" mimetype=\"image\" position=\"anchor\" xlink:href=\"info:doi\/10.1371\/journal.pone.0358464.e002\" xlink:type=\"simple\"\/>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\" id=\"equation2\">\n                          <mml:mrow>\n                            <mml:mn>86.8<\/mml:mn>\n                            <mml:mo>\u00b1<\/mml:mo>\n                            <mml:mn>1.3<\/mml:mn>\n                          <\/mml:mrow>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    %, enabling wall-to-wall surface estimation across the Bay of Brest (44.3\u2009ha; uncertainty\n                    <jats:inline-formula id=\"pone.0358464.e003\">\n                      <jats:alternatives>\n                        <jats:graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" id=\"pone.0358464.e003g\" mimetype=\"image\" position=\"anchor\" xlink:href=\"info:doi\/10.1371\/journal.pone.0358464.e003\" xlink:type=\"simple\"\/>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\" id=\"equation3\">\n                          <mml:mrow>\n                            <mml:mo>\u00b1<\/mml:mo>\n                          <\/mml:mrow>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    10\u201315%). A channel ablation shows spectral information dominates: removing elevation costs only 1.7\u2009pts, whereas elevation alone still reaches\n                    <jats:inline-formula id=\"pone.0358464.e004\">\n                      <jats:alternatives>\n                        <jats:graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" id=\"pone.0358464.e004g\" mimetype=\"image\" position=\"anchor\" xlink:href=\"info:doi\/10.1371\/journal.pone.0358464.e004\" xlink:type=\"simple\"\/>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\" id=\"equation4\">\n                          <mml:mrow>\n                            <mml:mn>54.2<\/mml:mn>\n                            <mml:mo>\u00b1<\/mml:mo>\n                            <mml:mn>3.1<\/mml:mn>\n                          <\/mml:mrow>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    %; this likely reflects limitations of fusing a heterogeneous modality into a photographically pre-trained encoder rather than the ecological irrelevance of elevation. A leave-one-site-out validation, withholding each labelled site in turn, yields a lower and more variable estimate (F1\n                    <jats:inline-formula id=\"pone.0358464.e005\">\n                      <jats:alternatives>\n                        <jats:graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" id=\"pone.0358464.e005g\" mimetype=\"image\" position=\"anchor\" xlink:href=\"info:doi\/10.1371\/journal.pone.0358464.e005\" xlink:type=\"simple\"\/>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\" id=\"equation5\">\n                          <mml:mrow>\n                            <mml:mn>77.8<\/mml:mn>\n                            <mml:mo>\u00b1<\/mml:mo>\n                            <mml:mn>6.9<\/mml:mn>\n                          <\/mml:mrow>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    %, ranging 50.5\u201379.5% across sites), indicating the five-fold estimate is optimistic for genuinely new sites. On an independent site never used in training, predictions agree with manual photo-interpretation of the same imagery to within 2.4%, though independent field validation is still needed. Derived from routinely updated national imagery, this pipeline offers coastal managers a reproducible, annually updatable monitoring tool, best suited to sites resembling those already mapped.\n                  <\/jats:p>","DOI":"10.1371\/journal.pone.0358464","type":"journal-article","created":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T17:31:06Z","timestamp":1789752666000},"page":"e0358464","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Training strategy over architecture: A systematic ablation study for Spartina detection from aerial imagery with small geospatial datasets"],"prefix":"10.1371","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-2554-6494","authenticated-orcid":true,"given":"Adrien","family":"Le Guillou","sequence":"first","affiliation":[{"name":"Univ Brest, Univ Nantes, Univ Rennes, CNRS, LETG UMR, IUEM","place":["Plouzan\u00e9, France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manon","family":"Brehier","sequence":"additional","affiliation":[{"name":"Univ Brest, Univ Nantes, Univ Rennes, CNRS, LETG UMR, IUEM","place":["Plouzan\u00e9, France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J\u00e9r\u00f4me","family":"Ammann","sequence":"additional","affiliation":[{"name":"Geo-Ocean, UMR CNRS-IFREMER-UBO-UBS, IUEM, University of Brest","place":["Plouzan\u00e9, France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xavier","family":"Dauvergne","sequence":"additional","affiliation":[{"name":"Laboratoire G\u00e9oarchitecture: Territoires, Urbanisation, Biodiversit\u00e9, Environnement, Universit\u00e9 de Brest","place":["Brest, France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7975-2149","authenticated-orcid":true,"given":"Pierre","family":"St\u00e9phan","sequence":"additional","affiliation":[{"name":"Univ Brest, Univ Nantes, Univ Rennes, CNRS, LETG UMR, IUEM","place":["Plouzan\u00e9, France"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2026,9,18]]},"reference":[{"key":"pone.0358464.ref001","first-page":"331","article-title":"The geomorphological and botanical changes in Kernic Bay (Brittany, France): influence on coastal management","author":"MC Guenegou","year":"1991","journal-title":"Journal of Coastal Research"},{"key":"pone.0358464.ref002","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1007\/s00606-002-0251-8","article-title":"Genetic evidence for hybridization between the native Spartina maritima and the introduced Spartina alterniflora (Poaceae) in South-West France: Spartina 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