{"id":1263,"date":"2026-04-21T10:57:37","date_gmt":"2026-04-21T08:57:37","guid":{"rendered":"https:\/\/asterlab.unimi.it\/?page_id=1263"},"modified":"2026-06-15T11:31:12","modified_gmt":"2026-06-15T09:31:12","slug":"pubblicazioni","status":"publish","type":"page","link":"https:\/\/asterlab.unimi.it\/it\/pubblicazioni\/","title":{"rendered":"Pubblicazioni"},"content":{"rendered":"\n<h2 class=\"wp-block-heading has-text-align-center\">Articoli significativi<\/h2>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-1 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full is-resized wp-container-content-1\"><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1569843225002614\" target=\"_blank\" rel=\"noreferrer noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"1005\" height=\"521\" src=\"https:\/\/asterlab.unimi.it\/wp-content\/uploads\/sites\/192\/2026\/05\/heprespectral-1.jpg\" alt=\"Hyperspectral and LiDAR space-borne data for assessing mountain forest volume and biomass: link to the publication\" class=\"wp-image-1017\" style=\"width:331px;height:auto\" srcset=\"https:\/\/asterlab.unimi.it\/wp-content\/uploads\/sites\/192\/2026\/05\/heprespectral-1.jpg 1005w, https:\/\/asterlab.unimi.it\/wp-content\/uploads\/sites\/192\/2026\/05\/heprespectral-1-600x311.jpg 600w, https:\/\/asterlab.unimi.it\/wp-content\/uploads\/sites\/192\/2026\/05\/heprespectral-1-768x398.jpg 768w\" sizes=\"(max-width: 1005px) 100vw, 1005px\" \/><\/a><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/www.pnas.org\/doi\/10.1073\/pnas.2218860120\" target=\"_blank\" rel=\"noreferrer noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"1022\" height=\"540\" src=\"https:\/\/asterlab.unimi.it\/wp-content\/uploads\/sites\/192\/2026\/05\/epidem-1.jpg\" alt=\"Epidemiological connectivity between humans and animals across an urban landscape: link to the publication\" class=\"wp-image-1013\" srcset=\"https:\/\/asterlab.unimi.it\/wp-content\/uploads\/sites\/192\/2026\/05\/epidem-1.jpg 1022w, https:\/\/asterlab.unimi.it\/wp-content\/uploads\/sites\/192\/2026\/05\/epidem-1-600x317.jpg 600w, https:\/\/asterlab.unimi.it\/wp-content\/uploads\/sites\/192\/2026\/05\/epidem-1-768x406.jpg 768w\" sizes=\"(max-width: 1022px) 100vw, 1022px\" \/><\/a><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"595\" src=\"https:\/\/asterlab.unimi.it\/wp-content\/uploads\/sites\/192\/2026\/06\/escaping-1024x595.jpg\" alt=\"\" class=\"wp-image-1182\" style=\"width:296px;height:auto\" srcset=\"https:\/\/asterlab.unimi.it\/wp-content\/uploads\/sites\/192\/2026\/06\/escaping-1024x595.jpg 1024w, https:\/\/asterlab.unimi.it\/wp-content\/uploads\/sites\/192\/2026\/06\/escaping-600x348.jpg 600w, https:\/\/asterlab.unimi.it\/wp-content\/uploads\/sites\/192\/2026\/06\/escaping-768x446.jpg 768w, https:\/\/asterlab.unimi.it\/wp-content\/uploads\/sites\/192\/2026\/06\/escaping.jpg 1157w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n<\/div>\n\n\n\n<div style=\"height:12px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Elenco delle pubblicazioni recenti (2021-2026)<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">2026<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Ceriani R., Fohrafellner J., Maenhout P., Jarosch K.A., Weiss L., Di Bene C., \u2026 Valkama E. <a href=\"https:\/\/doi.org\/10.1016\/j.fcr.2026.110386\" target=\"_blank\" rel=\"noreferrer noopener\">Cereal yield, yield stability, and nitrous oxide release in European conservation agriculture: A meta-analysis<\/a><br><strong><em>Field Crops Research<\/em><\/strong>,&nbsp;341, 110386<\/li>\n\n\n\n<li>Marshall M., Pepe M., Tagliabue G., Odongo V., Timmermans W., Vuolo F., \u2026 Boschetti M. <a href=\"http:\/\/10.1016\/j.rse.2026.115453\" target=\"_blank\" rel=\"noreferrer noopener\">Hyperspectral constraints reduce bias in ECOSTRESS evapotranspiration and drought indicators<\/a><br><strong><em>Remote Sensing of Environment<\/em><\/strong>,&nbsp;341, 115453<\/li>\n\n\n\n<li>Shibia M.G., Schneider M.K., R\u00f6der A., Stellmes M., Fava F., Hill J. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2667010026000569?via%3Dihub\" target=\"_blank\" rel=\"noreferrer noopener\">GPS tracking reveals complex resource acquisition strategies of pastoralists in East Africa<\/a><br><strong><em>Environmental Challenges<\/em><\/strong>,&nbsp;101461<\/li>\n\n\n\n<li>La Porta C.A.M., Marchi E., Chiaffarelli G., Vegge I., Vaglia V., De Marinis P., Zapperi S., Bocchi S.. <a href=\"https:\/\/open-research-europe.ec.europa.eu\/articles\/6-29\/v1\" target=\"_blank\" rel=\"noreferrer noopener\">Soil health and microbial diversity across land-use types: Evidence for agroecological management in peri-urban areas<\/a><br><strong><em>Open Research Europe<\/em><\/strong><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">2025<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Ceriani R., Brocco S., Pepe M., Oggioni S., Vacchiano G., Motta R., Berretti R., Ascoli D., Garbarino M., Morresi D., Bassi F., Fava F. <a href=\"https:\/\/doi.org\/10.1016\/j.jag.2025.104614\" target=\"_blank\" rel=\"noreferrer noopener\">Hyperspectral and LiDAR space-borne data for assessing mountain forest volume and biomass<\/a><br><strong><em>International Journal of Applied Earth Observation and Geoinformation<\/em><\/strong>,&nbsp;141, pp. 1\u201311<\/li>\n\n\n\n<li>Cyran K., Franch B., Amin E., Belda S., Fava F., Wheeler J., Moletto-Lobos I., Baroudy A.E., Becker-Reshef I., Szantoi Z. <a href=\"https:\/\/doi.org\/10.1016\/j.jag.2025.104716\" target=\"_blank\" rel=\"noreferrer noopener\">Retrieving crop phenology at field-scale in the Nile Delta based on Sen2Like and PlanetScope data<\/a><br><strong><em>International Journal of Applied Earth Observation and Geoinformation<\/em><\/strong>,&nbsp;142, pp. 1\u201312<\/li>\n\n\n\n<li>Amadori, M., Greife, A.J., Carrea, L.&nbsp;<em>et al.<\/em><a href=\"https:\/\/doi.org\/10.1038\/s43247-025-02684-5\" target=\"_blank\" rel=\"noreferrer noopener\"> A climatological baseline for understanding patterns of seasonal lake dynamics across sub-Sahelian Africa<\/a><br><strong><em>Communications Earth &amp; Environment<\/em><\/strong>,&nbsp;6, pp. 1\u201316<\/li>\n\n\n\n<li>Liu B., Maples S., Kong J., Fava F., et al. <a href=\"https:\/\/doi.org\/10.1371\/journal.pgph.0004018\" target=\"_blank\" rel=\"noreferrer noopener\">Leveraging deep learning models to increase the representation of nomadic pastoralists in health campaigns and demographic surveillance<\/a><br><strong><em>PLOS Global Public Health<\/em><\/strong>,&nbsp;5, pp. 1\u201318<\/li>\n\n\n\n<li>Van Hove A., Aalstad K., Lind V., Arndt C., Odongo V., Ceriani R., Fava F., et al. <a href=\"https:\/\/doi.org\/10.5194\/bg-22-4163-2025\" target=\"_blank\" rel=\"noreferrer noopener\">Inferring methane emissions from African livestock by fusing drone, tower, and satellite data<\/a><br><strong><em>Biogeosciences<\/em><\/strong>,&nbsp;22, pp. 4163\u20134186<\/li>\n\n\n\n<li>Wen J., Tagliabue G., Rossini M., Fava F.P., Panigada C., Merbold L., Leitner S., Sun Y. <a href=\"https:\/\/doi.org\/10.5194\/bg22-2049-2025\" target=\"_blank\" rel=\"noreferrer noopener\">Detection of fast-changing intra-seasonal vegetation dynamics of drylands using solar-induced chlorophyll fluorescence (SIF)<\/a><br><strong><em>Biogeosciences<\/em><\/strong>,&nbsp;22, pp. 2049\u20132067<\/li>\n\n\n\n<li>Alali S., Vaglia V., Bocchi S., et al. <a href=\"https:\/\/doi.org\/10.1007\/s10457-025-01351-0\" target=\"_blank\" rel=\"noreferrer noopener\">Using ecosystem services estimation to design sustainable agroforestry systems: insights from Northern Italy<\/a><br><strong><em>Agroforestry Systems<\/em><\/strong>,&nbsp;99, 257<\/li>\n\n\n\n<li>Guglielmo S., Pietro D.M., Casson A., Narote A.D., Guidetti R., Bocchi S., Vaglia V. <a href=\"https:\/\/doi.org\/10.3390\/agriculture15171797\" target=\"_blank\" rel=\"noreferrer noopener\">Sustainability assessment of rice farming: Insights from four Italian farms under climate stress<\/a><br><strong><em>Agriculture<\/em><\/strong>,&nbsp;15, 1797<\/li>\n\n\n\n<li>Dal Borgo A.G., Bocchi S., Capocefalo V., et al.<a href=\"https:\/\/doi.org\/10.1007\/s10457-025-01198-5\" target=\"_blank\" rel=\"noreferrer noopener\"> Agroforestry for the city: farmscaping the urban fringe through transformative and participatory action research in Milan<\/a><br><strong><em>Agroforestry Systems<\/em><\/strong>,&nbsp;99, 125<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">2024<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Li T., Singh R.K., Cui L., et al.<a href=\"https:\/\/doi.org\/10.1002\/ldr.4964\" target=\"_blank\" rel=\"noreferrer noopener\"> Managing multiple stressors for sustainable livelihoods in dryland ecosystems: insights and entry points for resource management <\/a><br><strong><em>Land Degradation &amp; Development<\/em><\/strong>,&nbsp;35, pp. 968\u2013984<\/li>\n\n\n\n<li>Naethe P., De Sanctis A., Burkart A., et al. <a href=\"https:\/\/doi.org\/10.1016\/j.rse.2024.114013\" target=\"_blank\" rel=\"noreferrer noopener\">Hyperspectral measurements: combining time series from autonomous field spectrometers with Sentinel-2<\/a><br><strong><em>Remote Sensing of Environment<\/em><\/strong>,&nbsp;303, pp. 1\u201315<\/li>\n\n\n\n<li>Kahiu N., Anchang J., Alulu V., Fava F.P., et al. <a href=\"https:\/\/doi.org\/10.1038\/s41598-024-62893-4\" target=\"_blank\" rel=\"noreferrer noopener\">Leveraging browse and grazing forage estimates to optimize index-based livestock insurance<br><\/a><strong><em>Scientific Reports<\/em><\/strong>,&nbsp;14, pp. 1\u201317<\/li>\n\n\n\n<li>Monteiro A.T., Arenas-Castro S., Punalekar S.M., et al. <a href=\"https:\/\/doi.org\/10.1016\/j.ecolind.2024.112123\" target=\"_blank\" rel=\"noreferrer noopener\">Remote sensing of vegetation and soil moisture content in Atlantic humid mountains with Sentinel-1 and 2 satellite sensor data<\/a><br><strong><em>Ecological Indicators<\/em><\/strong>,&nbsp;163, pp. 1\u201316<\/li>\n\n\n\n<li>Soto G.E., Wilcox S.W., Clark P.E., Fava F.P., et al. <a href=\"https:\/\/doi.org\/10.5194\/essd-16-5375-2024\" target=\"_blank\" rel=\"noreferrer noopener\">Mapping rangeland health indicators in eastern Africa from 2000 to 2022<br><\/a><strong><em>Earth System Science Data<\/em><\/strong>,&nbsp;16, pp. 5375\u20135404<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">2023<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Hassell J.M., Muloi D.M., VanderWaal K.L., Ward M.J., Bettridge J., Gitahi N., Ouko T., Imboma T., Akoko J., Karani M., Muinde P., Nakamura Y., Alumasa L., Furmaga E., Kaitho T., Amanya F., Ogendo A., et al. <a href=\"https:\/\/doi.org\/10.1073\/pnas.2218860120\" target=\"_blank\" rel=\"noreferrer noopener\">Pathogen sharing between humans and animals across an urban landscape<\/a><br><strong><em>Proceedings of the National Academy of Sciences<\/em><\/strong>,&nbsp;120, pp. 1\u201312<\/li>\n\n\n\n<li>Li T., Singh R.K., Cui L., Xu Z., Liu H., Fava F., Kumar S., Song X., Tang L., Wang Y., Hao Y., Cui X. <a href=\"https:\/\/doi.org\/10.1007\/s11356-023-29567-6\" target=\"_blank\" rel=\"noreferrer noopener\">Navigating the landscape of global sustainable livelihood research: past insights and future trajectory<\/a><br><strong><em>Environmental Science and Pollution Research International<\/em><\/strong>,&nbsp;30, pp. 103291\u2013103312<br><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">2022<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Monteiro A.T., Alves P., Carvalho-Santos C., Lucas R., Cunha M., da Costa E.M., Fava F. <a href=\"https:\/\/doi.org\/10.3390\/d14010008\" target=\"_blank\" rel=\"noreferrer noopener\">Monitoring plant diversity to support agri-environmental schemes: Evaluating statistical models informed by satellite and local factors in southern European mountain pastoral systems<\/a><br><strong><em>Diversity<\/em><\/strong>,&nbsp;14, pp. 1\u201316<\/li>\n\n\n\n<li>Shibia M.G., Roder A., Fava F.P., Stellmes M., Hill J. <a href=\"https:\/\/doi.org\/10.1016\/j.jaridenv.2021.104661\" target=\"_blank\" rel=\"noreferrer noopener\">Integrating satellite images and topographic data for mapping seasonal grazing management units in pastoral landscapes of eastern Africa<\/a><br><strong><em>Journal of Arid Environments<\/em><\/strong>,&nbsp;197, pp. 1\u201311<\/li>\n\n\n\n<li>Chelanga P., Fava F., Alulu V., Banerjee R., Naibei O., Taye M., Berg M., Galgallo D., Gobu W., Lepariyo W., Muendo K., Jensen N. <a href=\"https:\/\/doi.org\/10.3389\/fsufs.2022.730836\" target=\"_blank\" rel=\"noreferrer noopener\">KAZNET: An open-source, micro-tasking platform for remote locations<\/a><br><strong><em>Frontiers in Sustainable Food Systems<\/em><\/strong>,&nbsp;6, pp. 1\u201316<\/li>\n\n\n\n<li>Muthoka J.M., Antonarakis A.S., Vrieling A., Fava F., Salakpi E.E., Rowhani P. <a href=\"https:\/\/doi.org\/10.1016\/j.ecolind.2022.109223\" target=\"_blank\" rel=\"noreferrer noopener\">Assessing drivers of intra-seasonal grassland dynamics in a Kenyan savannah using digital repeat photography<\/a><br><strong><em>Ecological Indicators<\/em><\/strong>,&nbsp;142, pp. 1\u201315<\/li>\n\n\n\n<li>Vrieling A., Fava F., Leitner S., Merbold L., Cheng Y., Nakaleza T., Groen T., Butterbach-Bahl K. <a href=\"https:\/\/doi.org\/10.1016\/j.rse.2022.113110\" target=\"_blank\" rel=\"noreferrer noopener\">Identification of temporary livestock enclosures in Kenya from multi-temporal PlanetScope imagery<\/a><br><strong><em>Remote Sensing of Environment<\/em><\/strong>,&nbsp;279, pp. 1\u201315<\/li>\n\n\n\n<li>Li T., Cai S., Singh R.K., Cui L., Fava F., Tang L., Xu Z., Li C., Cui X., Du J., Hao Y., Liu Y., Wang Y. <a href=\"https:\/\/doi.org\/10.1016\/j.scitotenv.2022.155960\" target=\"_blank\" rel=\"noreferrer noopener\">Livelihood resilience in pastoral communities: Methodological and field insights from Qinghai-Tibetan Plateau<\/a><br><strong><em>Science of the Total Environment<\/em><\/strong>,&nbsp;838, pp. 1\u201313<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">2021<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Fava F., Vrieling A. <a href=\"https:\/\/doi.org\/10.1016\/j.cosust.2020.09.006\" target=\"_blank\" rel=\"noreferrer noopener\">Earth observation for drought risk financing in pastoral systems of sub-Saharan Africa<br><\/a><strong><em>Current Opinion in Environmental Sustainability<\/em><\/strong>,&nbsp;48, pp. 44\u201352<\/li>\n\n\n\n<li>Hassell J.M., Bettridge J.M., Ward M.J., Ogendo A., Imboma T., Muloi D., Fava F., Robinson T.P., Begon M., Fevre E.M. <a href=\"https:\/\/doi.org\/10.1111\/gcb.15412\" target=\"_blank\" rel=\"noreferrer noopener\">Socio-ecological drivers of vertebrate biodiversity and human-animal interfaces across an urban landscape<\/a><br><strong><em>Global Change Biology<\/em><\/strong>,&nbsp;27, pp. 781\u2013792<\/li>\n\n\n\n<li>Graham M.W., Chelanga P., Jensen N.D., Leitner S.M., Fava F., Merbold L. <a href=\"https:\/\/doi.org\/10.1016\/j.agsy.2021.103203\" target=\"_blank\" rel=\"noreferrer noopener\">A framework for assessing the effects of shock events on livestock and environment in sub-Saharan Africa: The COVID-19 pandemic in Northern Kenya<\/a><br><strong><em>Agricultural Systems<\/em><\/strong>,&nbsp;192, pp. 1\u201312<br><a href=\"https:\/\/doi.org\/10.1016\/j.agsy.2021.103203\" target=\"_blank\" rel=\"noreferrer noopener\">10.1016\/j.agsy.2021.103203<\/a><\/li>\n\n\n\n<li>Monteiro A.T., Carvalho-Santos C., Lucas R., Rocha J., Costa N., Giamberini M., da Costa E.M., Fava F. <a href=\"https:\/\/doi.org\/10.3390\/rs13153019\" target=\"_blank\" rel=\"noreferrer noopener\">Progress in grassland cover conservation in southern European mountains by 2020: A transboundary assessment in the Iberian Peninsula with satellite observations (2002\u20132019)<\/a><br><em><strong>Remote Sensing<\/strong><\/em>,&nbsp;13, pp. 1\u201321<\/li>\n\n\n\n<li>Li T., Jia Y., Fava F., Xu Z., Zhu J., Yang Y., Tang L., Wang Y., Hao Y., Cui X. <a href=\"https:\/\/doi.org\/10.1016\/j.ecolind.2021.108257\" target=\"_blank\" rel=\"noreferrer noopener\">A geographic identification of sustainable development obstacles and countermeasures in drylands: A case study in Inner Mongolia, China<\/a><br><strong><em>Ecological Indicators<\/em><\/strong>,&nbsp;132, pp. 1\u201313<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Articoli significativi Elenco delle pubblicazioni recenti (2021-2026) 2026 2025 2024 2023 2022 2021<\/p>\n","protected":false},"author":525,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-1263","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/asterlab.unimi.it\/it\/wp-json\/wp\/v2\/pages\/1263"}],"collection":[{"href":"https:\/\/asterlab.unimi.it\/it\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/asterlab.unimi.it\/it\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/asterlab.unimi.it\/it\/wp-json\/wp\/v2\/users\/525"}],"replies":[{"embeddable":true,"href":"https:\/\/asterlab.unimi.it\/it\/wp-json\/wp\/v2\/comments?post=1263"}],"version-history":[{"count":2,"href":"https:\/\/asterlab.unimi.it\/it\/wp-json\/wp\/v2\/pages\/1263\/revisions"}],"predecessor-version":[{"id":1303,"href":"https:\/\/asterlab.unimi.it\/it\/wp-json\/wp\/v2\/pages\/1263\/revisions\/1303"}],"wp:attachment":[{"href":"https:\/\/asterlab.unimi.it\/it\/wp-json\/wp\/v2\/media?parent=1263"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}