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DOI10.1016/j.rse.2020.111737
Corrigendum to “Using Landsat observations (1988–2017) and Google Earth Engine to detect vegetation cover changes in rangelands - A first step towards identifying degraded lands for conservation” [Remote Sens. Environ. 232 (2019), 111317] (Remote Sensing of Environment (2019) 232, (S0034425719303360), (10.1016/j.rse.2019.111317))
Xie Z.; Phinn S.R.; Game E.T.; Pannell D.J.; Hobbs R.J.; Briggs P.R.; Beutel T.S.; Holloway C.; McDonald-Madden E.
发表日期2020
ISSN00344257
卷号241
英文摘要The authors regret that two co-authors were unintentionally missed in the previous paper. We have added the two co-authors to recognize their contribution to the validation data - the biophysical field observations of land conditions. The error does not change the science of this study. Zunyi Xiea,b,c,⁎, Stuart R. Phinnc, Edward T. Gamed, David J. Pannelle, Richard J. Hobbsf, Peter R. Briggsg, Terrence S. Beutelh, Christopher Hollowayi, Eve McDonald-MaddenbaKey Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng 475004, China bCentre for Biodiversity and Conservation Science, School of Earth and Environmental Sciences, The University of Queensland, Brisbane, QLD 4072, Australia cRemote Sensing Research Centre, School of Earth and Environmental Sciences, The University of Queensland, Brisbane, QLD 4072, Australia dThe Nature Conservancy, Brisbane, QLD 4101, Australia eSchool of Agriculture and Environment, The University of Western Australia, Perth, WA 6009, Australia fSchool of Biological Science, The University of Western Australia, Perth, WA 6009, Australia gCSIRO Oceans and Atmosphere, Canberra, ACT 2601, Australia hDepartment of Agriculture and Fisheries, Parkhurst, Brisbane, QLD 4701, Australia iDepartment of Agriculture and Fisheries, Dutton Park, Brisbane, QLD 4102, Australia The authors would like to apologise for any inconvenience caused. © 2020 Elsevier Inc.
语种英语
来源期刊Remote Sensing of Environment
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/179379
作者单位Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng, 475004, China; Centre for Biodiversity and Conservation Science, School of Earth and Environmental Sciences, The University of Queensland, Brisbane, Queensland 4072, Australia; Remote Sensing Research Centre, School of Earth and Environmental Sciences, The University of Queensland, Brisbane, Queensland 4072, Australia; The Nature Conservancy, South Brisbane, QLD 4101, Australia; School of Agriculture and Environment, The University of Western Australia, Crawley, WA 6009, Australia; School of Biological Science, The University of Western Australia, Crawley, WA 6009, Australia; CSIRO Oceans and Atmosphere, Canberra, ACT 2601, Australia; Department of Agriculture and Fisheries, Parkhurst, Brisbane, QLD 4701, Australia; Department of Agriculture and Fisheries, Dutton Park, Brisbane, QLD 4102, Australia
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Xie Z.,Phinn S.R.,Game E.T.,等. Corrigendum to “Using Landsat observations (1988–2017) and Google Earth Engine to detect vegetation cover changes in rangelands - A first step towards identifying degraded lands for conservation” [Remote Sens. Environ. 232 (2019), 111317] (Remote Sensing of Environment (2019) 232, (S0034425719303360), (10.1016/j.rse.2019.111317))[J],2020,241.
APA Xie Z..,Phinn S.R..,Game E.T..,Pannell D.J..,Hobbs R.J..,...&McDonald-Madden E..(2020).Corrigendum to “Using Landsat observations (1988–2017) and Google Earth Engine to detect vegetation cover changes in rangelands - A first step towards identifying degraded lands for conservation” [Remote Sens. Environ. 232 (2019), 111317] (Remote Sensing of Environment (2019) 232, (S0034425719303360), (10.1016/j.rse.2019.111317)).Remote Sensing of Environment,241.
MLA Xie Z.,et al."Corrigendum to “Using Landsat observations (1988–2017) and Google Earth Engine to detect vegetation cover changes in rangelands - A first step towards identifying degraded lands for conservation” [Remote Sens. Environ. 232 (2019), 111317] (Remote Sensing of Environment (2019) 232, (S0034425719303360), (10.1016/j.rse.2019.111317))".Remote Sensing of Environment 241(2020).
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