Peter J. Olsoy, A. Zaiats, D. Delparte, M. Germino, B. Richardson, Spencer Roop, A. Roser, J. Forbey, M. Cattau, S. Buerki, K. Reinhardt, T. T. Caughlin
{"title":"High‐resolution thermal imagery reveals how interactions between crown structure and genetics shape plant temperature","authors":"Peter J. Olsoy, A. Zaiats, D. Delparte, M. Germino, B. Richardson, Spencer Roop, A. Roser, J. Forbey, M. Cattau, S. Buerki, K. Reinhardt, T. T. Caughlin","doi":"10.1002/rse2.359","DOIUrl":"https://doi.org/10.1002/rse2.359","url":null,"abstract":"","PeriodicalId":21132,"journal":{"name":"Remote Sensing in Ecology and Conservation","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47705544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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 only provide reliable estimates of change over recent decades. Given the slow pace of tree cover expansion, remote sensing techniques that can extend this historical record provide critical insights into the magnitude of environmental change. Here, we estimate conifer expansion in rangelands of the northern Great Plains, United States, North America, using historical aerial imagery from the mid-20th century and modern aerial imagery. We analyzed 19.3 million hectares of rangelands in Montana, USA, using a convolutional neural network (U-Net architecture) and cloud computing to detect tree features and tree cover change. Our bias-corrected results estimate 3.0 ± 0.2 million hectares of conifer tree cover expansion in Montana rangelands, which accounts for 15.4% of the total study area. Overall accuracy was >91%, but the producer's accuracy was lower than the user's accuracy (0.60 vs. 0.88) for areas of tree cover expansion. Nonetheless, the omission errors were not spatially clustered, suggesting that the method is reliable for identifying the regions of Montana where substantial tree expansion has occurred. Using the model results in conjunction with historical and modern imagery allows for effective communication of the scale of tree expansion while overcoming the recency effect caused by shifting environmental baselines.
在世界范围内，树木正在占领具有高保护价值的牧场。在草原和灌丛中引入树木会引起生态系统结构和功能的大规模变化，从而对生态系统服务、生物多样性和农业经济产生级联影响。卫星越来越多地被用于跟踪大陆到全球范围的树木覆盖，但这些方法只能提供近几十年来变化的可靠估计。考虑到树木覆盖扩张的缓慢速度，可以扩展这一历史记录的遥感技术为了解环境变化的程度提供了重要的见解。本文利用20世纪中期的历史航空图像和现代航空图像，估算了美国北美大平原北部放牧区针叶树的扩张。我们分析了美国蒙大拿州1930万公顷的牧场，使用卷积神经网络(U-Net架构)和云计算来检测树木特征和树木覆盖变化。我们的偏差校正结果估计，蒙大拿州牧场的针叶树覆盖面积扩大了300±20万公顷，占研究总面积的15.4%。总体精度为91%，但对于树木覆盖扩展面积，生产者的精度低于用户的精度(0.60 vs 0.88)。尽管如此，遗漏的错误并没有在空间上聚类，这表明该方法对于识别蒙大拿州发生大量树木扩张的地区是可靠的。将模型结果与历史和现代图像结合使用，可以有效地传达树木扩张的规模，同时克服由环境基线变化引起的近期效应。
{"title":"Mapping tree cover expansion in Montana, U.S.A. rangelands using high-resolution historical aerial imagery","authors":"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","doi":"10.1002/rse2.357","DOIUrl":"https://doi.org/10.1002/rse2.357","url":null,"abstract":"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 only provide reliable estimates of change over recent decades. Given the slow pace of tree cover expansion, remote sensing techniques that can extend this historical record provide critical insights into the magnitude of environmental change. Here, we estimate conifer expansion in rangelands of the northern Great Plains, United States, North America, using historical aerial imagery from the mid-20th century and modern aerial imagery. We analyzed 19.3 million hectares of rangelands in Montana, USA, using a convolutional neural network (U-Net architecture) and cloud computing to detect tree features and tree cover change. Our bias-corrected results estimate 3.0 ± 0.2 million hectares of conifer tree cover expansion in Montana rangelands, which accounts for 15.4% of the total study area. Overall accuracy was >91%, but the producer's accuracy was lower than the user's accuracy (0.60 vs. 0.88) for areas of tree cover expansion. Nonetheless, the omission errors were not spatially clustered, suggesting that the method is reliable for identifying the regions of Montana where substantial tree expansion has occurred. Using the model results in conjunction with historical and modern imagery allows for effective communication of the scale of tree expansion while overcoming the recency effect caused by shifting environmental baselines.","PeriodicalId":21132,"journal":{"name":"Remote Sensing in Ecology and Conservation","volume":"157 1","pages":""},"PeriodicalIF":5.5,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138532768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Helen V. Ford, J. Gove, J. Healey, A. Davies, N. A. Graham, Gareth J. Williams
{"title":"Recurring bleaching events disrupt the spatial properties of coral reef benthic communities across scales","authors":"Helen V. Ford, J. Gove, J. Healey, A. Davies, N. A. Graham, Gareth J. Williams","doi":"10.1002/rse2.355","DOIUrl":"https://doi.org/10.1002/rse2.355","url":null,"abstract":"","PeriodicalId":21132,"journal":{"name":"Remote Sensing in Ecology and Conservation","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45181527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sara M. Galbraith, Jonathon J. Valente, Christopher J. C. Dunn, J. Rivers
{"title":"Both Landsat‐ and LiDAR‐derived measures predict forest bee response to large‐scale wildfire","authors":"Sara M. Galbraith, Jonathon J. Valente, Christopher J. C. Dunn, J. Rivers","doi":"10.1002/rse2.354","DOIUrl":"https://doi.org/10.1002/rse2.354","url":null,"abstract":"","PeriodicalId":21132,"journal":{"name":"Remote Sensing in Ecology and Conservation","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44337775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Robert C. Lonsinger, Marlin M. Dart, R. Larsen, Robert N. Knight
{"title":"Efficacy of machine learning image classification for automated occupancy‐based monitoring","authors":"Robert C. Lonsinger, Marlin M. Dart, R. Larsen, Robert N. Knight","doi":"10.1002/rse2.356","DOIUrl":"https://doi.org/10.1002/rse2.356","url":null,"abstract":"","PeriodicalId":21132,"journal":{"name":"Remote Sensing in Ecology and Conservation","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42713556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abigail Barenblitt, L. Fatoyinbo, N. Thomas, A. Stovall, Celio de Sousa, Chukwuebuka Nwobi, L. Duncanson
{"title":"Invasion in the Niger Delta: remote sensing of mangrove conversion to invasive Nypa fruticans from 2015 to 2020","authors":"Abigail Barenblitt, L. Fatoyinbo, N. Thomas, A. Stovall, Celio de Sousa, Chukwuebuka Nwobi, L. Duncanson","doi":"10.1002/rse2.353","DOIUrl":"https://doi.org/10.1002/rse2.353","url":null,"abstract":"","PeriodicalId":21132,"journal":{"name":"Remote Sensing in Ecology and Conservation","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45643769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Katherine M. Green, Mala Virdee, H. Cubaynes, Angelica I. Avilés-Rivero, P. Fretwell, P. Gray, D. Johnston, C. Schönlieb, L. Torres, Jennifer A. Jackson
{"title":"Gray whale detection in satellite imagery using deep learning","authors":"Katherine M. Green, Mala Virdee, H. Cubaynes, Angelica I. Avilés-Rivero, P. Fretwell, P. Gray, D. Johnston, C. Schönlieb, L. Torres, Jennifer A. Jackson","doi":"10.1002/rse2.352","DOIUrl":"https://doi.org/10.1002/rse2.352","url":null,"abstract":"","PeriodicalId":21132,"journal":{"name":"Remote Sensing in Ecology and Conservation","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46628134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Garbarino, D. Morresi, Nicolò Anselmetto, P. Weisberg
{"title":"Treeline remote sensing: from tracking treeline shifts to multi‐dimensional monitoring of ecotonal change","authors":"M. Garbarino, D. Morresi, Nicolò Anselmetto, P. Weisberg","doi":"10.1002/rse2.351","DOIUrl":"https://doi.org/10.1002/rse2.351","url":null,"abstract":"","PeriodicalId":21132,"journal":{"name":"Remote Sensing in Ecology and Conservation","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47608945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparison of bird migration in a radar wind profiler and a dedicated bird radar","authors":"Nadja Weisshaupt, M. Hervo, B. Haest","doi":"10.1002/rse2.350","DOIUrl":"https://doi.org/10.1002/rse2.350","url":null,"abstract":"","PeriodicalId":21132,"journal":{"name":"Remote Sensing in Ecology and Conservation","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44514665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hui Zhang, S. Turvey, Shree P. Pandey, Xiqiang Song, Zhong-yu Sun, Nan Wang
{"title":"Commercial drones can provide accurate and effective monitoring of the world's rarest primate","authors":"Hui Zhang, S. Turvey, Shree P. Pandey, Xiqiang Song, Zhong-yu Sun, Nan Wang","doi":"10.1002/rse2.341","DOIUrl":"https://doi.org/10.1002/rse2.341","url":null,"abstract":"","PeriodicalId":21132,"journal":{"name":"Remote Sensing in Ecology and Conservation","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48749763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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