Blar i Publikasjoner fra Cristin - INN på tidsskrift "Remote Sensing in Ecology and Conservation"

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    • Automated visitor and wildlife monitoring with camera traps and machine learning 

      Mitterwallner, Veronika; Peters, Anne; Edelhoff, Hendrik; Mathes, Gregor; Nguyen, Hien; Peters, Wibke Erika Brigitta; Heurich, Marco Dietmar; Steinbauer, Manuel (Peer reviewed; Journal article, 2023)
      As human activities in natural areas increase, understanding human–wildlife interactions is crucial. Big data approaches, like large-scale camera trap studies, are becoming more relevant for studying these interactions. ...

    • Camtrap DP: an open standard for the FAIR exchange and archiving of camera trap data 

      Bubnicki, Jakub W.; Norton, Ben; Baskauf, Steven J.; Bruce, Tom; Cagnacci, Francesca; Casaer, Jim; Churski, Marcin; Cromsigt, Joris P. G. M.; Farra, Simone Dal; Fiderer, Christian; Forrester, Tavis D.; Hendry, Heidi; Heurich, Marco Dietmar; Hofmeester, Tim R.; Jansen, Patrick A.; Kays, Roland; Kuijper, Dries P. J.; Liefting, Yorick; Linnell, John Durrus; Luskin, Matthew S.; Mann, Christopher; Milotic, Tanja; Newman, Peggy; Niedballa, Jürgen; Oldoni, Damiano; Ossi, Federico; Robertson, Tim; Rovero, Francesco; Rowcliffe, Marcus; Seidenari, Lorenzo; Stachowicz, Izabela; Stowell, Dan; Tobler, Mathias W.; Wieczorek, John; Zimmermann, Fridolin; Desmet, Peter (Peer reviewed; Journal article, 2023)
      Camera trapping has revolutionized wildlife ecology and conservation by providing automated data acquisition, leading to the accumulation of massive amounts of camera trap data worldwide. Although management and processing ...

    • A semi-automated camera trap distance sampling approach for population density estimation 

      Henrich, Maik; Burgueño, Mercedes; Hoyer, Jacqueline; Haucke, Timm; Steinhage, Volker; Kühl, Hjalmar S.; Heurich, Marco Dietmar (Peer reviewed; Journal article, 2023)
      Camera traps have become important tools for the monitoring of animal populations. However, the study-specific estimation of animal detection probabilities is key if unbiased abundance estimates of unmarked species are to ...