样式: 排序: IF: - GO 导出 标记为已读
-
Using spatiotemporal information in weather radar data to detect and track communal roosts Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-04-17 Gustavo Perez, Wenlong Zhao, Zezhou Cheng, Maria Carolina T. D. Belotti, Yuting Deng, Victoria F. Simons, Elske Tielens, Jeffrey F. Kelly, Kyle G. Horton, Subhransu Maji, Daniel Sheldon
The exodus of flying animals from their roosting locations is often visible as expanding ring‐shaped patterns in weather radar data. The NEXRAD network, for example, archives more than 25 years of data across 143 contiguous US radar stations, providing opportunities to study roosting locations and times and the ecosystems of birds and bats. However, access to this information is limited by the cost
-
Deep learning in marine bioacoustics: a benchmark for baleen whale detection Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-04-17 Elena Schall, Idil Ilgaz Kaya, Elisabeth Debusschere, Paul Devos, Clea Parcerisas
Passive acoustic monitoring (PAM) is commonly used to obtain year‐round continuous data on marine soundscapes harboring valuable information on species distributions or ecosystem dynamics. This continuously increasing amount of data requires highly efficient automated analysis techniques in order to exploit the full potential of the available data. Here, we propose a benchmark, which consists of a
-
Coherence of recurring fires and land use change in South America Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-04-11 Shulin Ren, Xiyan Xu, Gensuo Jia, Anqi Huang, Wei Ma
-
Assessing experimental silvicultural treatments enhancing structural complexity in a central European forest – BEAST time-series analysis based on Sentinel-1 and Sentinel-2 Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-04-03 Patrick Kacic, Ursula Gessner, Stefanie Holzwarth, Frank Thonfeld, Claudia Kuenzer
-
-
A hierarchical, multi‐sensor framework for peatland sub‐class and vegetation mapping throughout the Canadian boreal forest Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-02-25 Nicholas Pontone, Koreen Millard, Dan K. Thompson, Luc Guindon, André Beaudoin
-
Aggregated time‐series features boost species‐specific differentiation of true and false positives in passive acoustic monitoring of bird assemblages Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-02-25 David Singer, Jonas Hagge, Johannes Kamp, Hermann Hondong, Andreas Schuldt
-
Tree species diversity mapping from spaceborne optical images: The effects of spectral and spatial resolution Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-02-19 Xiang Liu, Julian Frey, Catalina Munteanu, Martin Denter, Barbara Koch
-
Using photographs and deep neural networks to understand flowering phenology and diversity in mountain meadows Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-02-13 Aji John, Elli J. Theobald, Nicoleta Cristea, Amanda Tan, Janneke Hille Ris Lambers
-
Implications of target signal choice in passive acoustic monitoring: an example of age- and sex-dependent vocal repertoire use in African forest elephants (Loxodonta cyclotis) Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-01-08 Colin R. Swider, Daniela Hedwig, Peter H. Wrege, Susan E. Parks
-
Assessing the accuracy of georeferenced landcover data derived from oblique imagery using machine learning Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-01-04 James Tricker, Claire Wright, Spencer Rose, Jeanine Rhemtulla, Trevor Lantz, Eric Higgs
-
High-intensity bird migration along Alpine valleys calls for protective measures against anthropogenically induced avian mortality Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-01-04 Simon Hirschhofer, Felix Liechti, Peter Ranacher, Robert Weibel, Baptiste Schmid
-
Using multiplatform LiDAR to identify relationships between vegetation structure and the abundance and diversity of woodland reptiles and amphibians Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2024-01-03 Shukhrat Shokirov, Tommaso Jucker, Shaun R. Levick, Adrian D. Manning, Kara N. Youngentob
-
Using water-landing, fixed-wing UAVs and computer vision to assess seabird nutrient subsidy effects on sharks and rays Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-12-28 Melissa Schiele, J. Marcus Rowcliffe, Ben Clark, Paul Lepper, Tom B. Letessier
-
Use of an unmanned aerial-aquatic vehicle for acoustic sensing in freshwater ecosystems Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-12-25 Jenna Lawson, Andre Farinha, Luca Romanello, Oscar Pang, Raphael Zufferey, Mirko Kovac
-
An automated procedure to determine construction year of roads in forested landscapes using a least-cost path and a Before-After Control-Impact approach Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-12-21 Denis Valle, Sami W. Rifai, Gabriel C. Carrero, Ana Y. Y. Meiga
-
Camtrap DP: an open standard for the FAIR exchange and archiving of camera trap data Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-12-09 Jakub W. Bubnicki, Ben Norton, Steven J. Baskauf, Tom Bruce, Francesca Cagnacci, Jim Casaer, Marcin Churski, Joris P. G. M. Cromsigt, Simone Dal Farra, Christian Fiderer, Tavis D. Forrester, Heidi Hendry, Marco Heurich, Tim R. Hofmeester, Patrick A. Jansen, Roland Kays, Dries P. J. Kuijper, Yorick Liefting, John D. C. Linnell, Matthew S. Luskin, Christopher Mann, Tanja Milotic, Peggy Newman, Jürgen
-
Tracking landscape scale vegetation change in the arid zone by integrating ground, drone and satellite data Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-12-07 Roxane J. Francis, Richard T. Kingsford, Katherine Moseby, John Read, Reece Pedler, Adrian Fisher, Justin McCann, Rebecca West
-
Selection in the third dimension: Using LiDAR derived canopy metrics to assess individual and population-level habitat partitioning of ocelots, bobcats, and coyotes Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-11-15 Maksim Sergeyev, Daniel A. Crawford, Joseph D. Holbrook, Jason V. Lombardi, Michael E. Tewes, Tyler A. Campbell
-
Assessing plant trait diversity as an indicators of species α- and β-diversity in a subalpine grassland of the Italian Alps Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-10-30 Hafiz Ali Imran, Karolina Sakowska, Damiano Gianelle, Duccio Rocchini, Michele Dalponte, Michele Scotton, Loris Vescovo
-
Grassland-use intensity maps for Switzerland based on satellite time series: Challenges and opportunities for ecological applications Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-10-27 Dominique Weber, Marcel Schwieder, Lukas Ritter, Tiziana Koch, Achilleas Psomas, Nica Huber, Christian Ginzler, Steffen Boch
-
A new way to understand migration routes of oceanic squid (Ommastrephidae) from satellite data Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-10-19 Fei Ji, Xinyu Guo
-
Mapping water content in drying Antarctic moss communities using UAS-borne SWIR imaging spectroscopy Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-10-13 Darren Turner, Emiliano Cimoli, Arko Lucieer, Ryan S. Haynes, Krystal Randall, Melinda J. Waterman, Vanessa Lucieer, Sharon A. Robinson
-
Automated visitor and wildlife monitoring with camera traps and machine learning Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-08-30 Veronika Mitterwallner, Anne Peters, Hendrik Edelhoff, Gregor Mathes, Hien Nguyen, Wibke Peters, Marco Heurich, Manuel J. Steinbauer
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. In addition, open-source object detection models are rapidly improving and have great potential to enhance the image processing of camera trap data from human and wildlife activities
-
A semi-automated camera trap distance sampling approach for population density estimation Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-08-28 Maik Henrich, Mercedes Burgueño, Jacqueline Hoyer, Timm Haucke, Volker Steinhage, Hjalmar S. Kühl, Marco Heurich
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 be obtained. Since this process can be very time-consuming, we developed the first semi-automated workflow for animals of any size and shape to estimate detection probabilities and
-
Quantifying wetness variability in aapa mires with Sentinel-2: towards improved monitoring of an EU priority habitat Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-08-18 Tytti Jussila, Risto K. Heikkinen, Saku Anttila, Kaisu Aapala, Mikko Kervinen, Juha Aalto, Petteri Vihervaara
Aapa mires are waterlogged northern peatland ecosystems characterized by a patterned surface structure where water-filled depressions (‘flarks’) alternate with drier hummock strings. As one of the EU Habitat Directive priority habitats, aapa mires are important for biodiversity and carbon cycling, harbouring several red-listed species and supporting unique species communities. Due to their sensitivity
-
Combining environmental DNA with remote sensing variables to map fish species distributions along a large river Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-08-17 Shuo Zong, Jeanine Brantschen, Xiaowei Zhang, Camille Albouy, Alice Valentini, Heng Zhang, Florian Altermatt, Loïc Pellissier
Biodiversity loss in river ecosystems is much faster and more severe than in terrestrial systems, and spatial conservation and restoration plans are needed to halt this erosion. Reliable and highly resolved data on the state of and change in biodiversity and species distributions are critical for effective measures. However, high-resolution maps of fish distribution remain limited for large riverine
-
Global disparity of camera trap research allocation and defaunation risk of terrestrial mammals Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-08-17 Badru Mugerwa, Jürgen Niedballa, Aimara Planillo, Douglas Sheil, Stephanie Kramer-Schadt, Andreas Wilting
-
Automatically drawing vegetation classification maps using digital time-lapse cameras in alpine ecosystems Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-08-10 Ryotaro Okamoto, Reiko Ide, Hiroyuki Oguma
Alpine ecosystems are particularly vulnerable to climate change. Monitoring the distribution of alpine vegetation is required to plan practical conservation activities. However, conventional field observations, airborne and satellite remote sensing are difficult in terms of coverage, cost and resolution in alpine areas. Ground-based time-lapse cameras have been used to observe the regions' snowmelt
-
Deep learning-based training data augmentation combined with post-classification improves the classification accuracy for dominant and scattered invasive forest tree species Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-08-09 Szilárd Balázs Likó, Imre J. Holb, Viktor Oláh, Péter Burai, Szilárd Szabó
Species composition of forests is a very important component from the point of view of nature conservation and forestry. We aimed to identify 10 tree species in a hilly forest stand using a hyperspectral aerial image with a particular focus on two invasive species, namely Ailanthus tree and black locust. Deep learning-based training data augmentation (TDA) and post-classification techniques were tested
-
Estimating animal density using the Space-to-Event model and bootstrap resampling with motion-triggered camera-trap data Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-07-24 Arnaud Lyet, Scott Waller, Thierry Chambert, Pelayo Acevedo, Eric Howe, Hjalmar S. Kühl, Robin Naidoo, Timothy O'Brien, Pablo Palencia, Svetlana V. Soutyrina, Joaquin Vicente, Oliver R. Wearn, Thomas N. E. Gray
Over the past few decades, the use of camera-traps has revolutionized our ability to monitor populations of wild terrestrial mammals. While methods to estimate abundance from individually-identifiable animals are well-established, they are mostly restricted to species with clear natural markings or else necessitate invasive and often costly animal tagging campaigns. Estimating abundance or density
-
Remote sensing of Antarctic polychaete reefs (Serpula narconensis): reproducible workflows for quantifying benthic structural complexity with action cameras, remotely operated vehicles and structure-from-motion photogrammetry Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-07-25 Juan C. Montes-Herrera, Nicole Hill, Vonda J. Cummings, Glenn J. Johnstone, Jonathan S. Stark, Vanessa Lucieer
-
High-resolution thermal imagery reveals how interactions between crown structure and genetics shape plant temperature Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-07-21 Peter J. Olsoy, Andrii Zaiats, Donna M. Delparte, Matthew J. Germino, Bryce A. Richardson, Spencer Roop, Anna V. Roser, Jennifer S. Forbey, Megan E. Cattau, Sven Buerki, Keith Reinhardt, T. Trevor Caughlin
-
Mapping tree cover expansion in Montana, U.S.A. rangelands using high-resolution historical aerial imagery Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-07-19 Scott L. Morford, Brady W. Allred, Eric R. Jensen, Jeremy D. Maestas, Kristopher R. Mueller, Catherine L. Pacholski, Joseph T. Smith, Jason D. Tack, Kyle N. Tackett, David E. Naugle
Worldwide, trees are colonizing rangelands with high conservation value. The introduction of trees into grasslands and shrublands causes large-scale changes in ecosystem structure and function, which have cascading impacts on ecosystem services, biodiversity, and agricultural economies. Satellites are increasingly being used to track tree cover at continental to global scales, but these methods can
-
Both Landsat- and LiDAR-derived measures predict forest bee response to large-scale wildfire Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-07-10 Sara M. Galbraith, Jonathon J. Valente, Christopher J. Dunn, James W. Rivers
Large-scale disturbances such as wildfire can have profound impacts on the composition, structure, and functioning of ecosystems. Bees are critical pollinators in natural settings and often respond positively to wildfires, particularly in forests where wildfire leads to more open conditions and increased floral resources. The use of Light Detection and Ranging (LiDAR) provides opportunities for quantifying
-
Efficacy of machine learning image classification for automated occupancy-based monitoring Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-07-10 Robert C. Lonsinger, Marlin M. Dart, Randy T. Larsen, Robert N. Knight
-
Recurring bleaching events disrupt the spatial properties of coral reef benthic communities across scales Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-07-10 Helen V. Ford, Jamison M. Gove, John R. Healey, Andrew J. Davies, Nicholas A. J. Graham, Gareth J. Williams
-
Invasion in the Niger Delta: remote sensing of mangrove conversion to invasive Nypa fruticans from 2015 to 2020 Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-07-03 Abigail Barenblitt, Lola Fatoyinbo, Nathan Thomas, Atticus Stovall, Celio de Sousa, Chukwuebuka Nwobi, Laura Duncanson
-
Gray whale detection in satellite imagery using deep learning Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-06-22 Katherine M. Green, Mala K. Virdee, Hannah C. Cubaynes, Angelica I. Aviles-Rivero, Peter T. Fretwell, Patrick C. Gray, David W. Johnston, Carola-Bibiane Schönlieb, Leigh G. Torres, Jennifer A. Jackson
-
Treeline remote sensing: from tracking treeline shifts to multi-dimensional monitoring of ecotonal change Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-06-19 Matteo Garbarino, Donato Morresi, Nicolò Anselmetto, Peter J. Weisberg
-
Comparison of bird migration in a radar wind profiler and a dedicated bird radar Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-06-13 Nadja Weisshaupt, Maxime Hervo, Birgen Haest
-
Commercial drones can provide accurate and effective monitoring of the world's rarest primate Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-06-07 Hui Zhang, Samuel T. Turvey, Shree P. Pandey, Xiqiang Song, Zhongyu Sun, Nan Wang
-
Use of Airborne Laser Scanning to assess effects of understorey vegetation structure on nest-site selection and breeding performance in an Australian passerine bird Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-05-28 Richard S. Turner, Ophélie J. D. Lasne, Kara N. Youngentob, Shukhrat Shokirov, Helen L. Osmond, Loeske E. B. Kruuk
-
Remote monitoring of short-term body mass variation in savanna ungulates Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-05-25 Nicolás Fuentes-Allende, Philip A. Stephens, Lynne M. MacTavish, Dougal MacTavish, Stephen G. Willis
-
The vulnerability and resilience of seagrass ecosystems to marine heatwaves in New Zealand: a remote sensing analysis of seascape metrics using PlanetScope imagery Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-05-25 Ken Joseph E. Clemente, Mads S. Thomsen, Richard C. Zimmerman
-
Global monitoring of soil multifunctionality in drylands using satellite imagery and field data Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-05-24 R. Hernández-Clemente, A. Hornero, V. Gonzalez-Dugo, M. Berdugo, J. L. Quero, J. C. Jiménez, F. T. Maestre
-
Accurate delineation of individual tree crowns in tropical forests from aerial RGB imagery using Mask R-CNN Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-05-13 James G. C. Ball, Sebastian H. M. Hickman, Tobias D. Jackson, Xian Jing Koay, James Hirst, William Jay, Matthew Archer, Mélaine Aubry-Kientz, Grégoire Vincent, David A. Coomes
-
Capturing long-tailed individual tree diversity using an airborne imaging and a multi-temporal hierarchical model Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-05-10 Ben G. Weinstein, Sergio Marconi, Sarah J. Graves, Alina Zare, Aditya Singh, Stephanie A. Bohlman, Lukas Magee, Daniel J. Johnson, Phillip A. Townsend, Ethan P. White
-
Reindeer control over shrubification in subarctic wetlands: spatial analysis based on unoccupied aerial vehicle imagery Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-05-09 Miguel Villoslada, Henni Ylänne, Sari Juutinen, Tiina H. M. Kolari, Pasi Korpelainen, Teemu Tahvanainen, Franziska Wolff, Timo Kumpula
-
BatNet: a deep learning-based tool for automated bat species identification from camera trap images Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-05-09 Gabriella Krivek, Alexander Gillert, Martin Harder, Marcus Fritze, Karina Frankowski, Luisa Timm, Liska Meyer-Olbersleben, Uwe Freiherr von Lukas, Gerald Kerth, Jaap van Schaik
-
Forest edge structure from terrestrial laser scanning to explain bird biophony characteristics from acoustic indices Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-05-07 Tom E. Verhelst, Pieter Vangansbeke, Pieter De Frenne, Barbara D'hont, Quentin Ponette, Luc Willems, Hans Verbeeck, Kim Calders
-
Detecting forest canopy gaps using unoccupied aerial vehicle RGB imagery in a species-rich subtropical forest Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-05-01 Jiale Chen, Li Wang, Tommaso Jucker, Hongzhi Da, Zhaochen Zhang, Jianbo Hu, Qingsong Yang, Xihua Wang, Yuchu Qin, Guochun Shen, Li Shu, Jian Zhang
-
Characterizing aboveground biomass and tree cover of regrowing forests in Brazil using multi-source remote sensing data Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-04-27 Na Chen, Nandin-Erdene Tsendbazar, Daniela Requena Suarez, Jan Verbesselt, Martin Herold
-
Challenges and solutions for automated avian recognition in aerial imagery Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-04-26 Zhongqi Miao, Stella X. Yu, Kyle L. Landolt, Mark D. Koneff, Timothy P. White, Luke J. Fara, Enrika J. Hlavacek, Bradley A. Pickens, Travis J. Harrison, Wayne M. Getz
-
StrucNet: a global network for automated vegetation structure monitoring Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-04-14 Kim Calders, Benjamin Brede, Glenn Newnham, Darius Culvenor, John Armston, Harm Bartholomeus, Anne Griebel, Jodie Hayward, Samuli Junttila, Alvaro Lau, Shaun Levick, Rosalinda Morrone, Niall Origo, Marion Pfeifer, Jan Verbesselt, Martin Herold
-
Fine-scale landscape phenology revealed through time-lapse imagery: implications for conservation and management of an endangered migratory herbivore Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-04-08 Christian John, Jeffrey T. Kerby, Thomas R. Stephenson, Eric Post
-
Spaceborne LiDAR for characterizing forest structure across scales in the European Alps Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-03-26 Lisa Mandl, Ana Stritih, Rupert Seidl, Christian Ginzler, Cornelius Senf
-
Combining unmanned aerial vehicles and satellite imagery to quantify areal extent of intertidal brown canopy-forming macroalgae Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-03-10 Pippa H. Lewis, Benjamin P. Roberts, Pippa J. Moore, Samuel Pike, Anthony Scarth, Katie Medcalf, Iain Cameron
-
Seabird surveillance: combining CCTV and artificial intelligence for monitoring and research Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-03-07 Jonas Hentati-Sundberg, Agnes B. Olin, Sheetal Reddy, Per-Arvid Berglund, Erik Svensson, Mareddy Reddy, Siddharta Kasarareni, Astrid A. Carlsen, Matilda Hanes, Shreyash Kad, Olof Olsson
-
Modeling approach for coastal dune habitat detection on coastal ecosystems combining very high-resolution UAV imagery and field survey Remote Sens. Ecol. Conserv. (IF 5.5) Pub Date : 2023-02-09 Emiliano Agrillo, Federico Filipponi, Riccardo Salvati, Alice Pezzarossa, Laura Casella
Earth observation (EO) data, derived from remote sensing and unmanned aerial vehicle (UAV), have been recently demonstrated to be essential tools for the ecosystem monitoring and habitat mapping, combining high technological and methodological procedures for applied ecology. However, research based on EO data analyses often tend to focus on image processing techniques, neglecting the development of