Comparison of high-resolution NAIP and unmanned aerial vehicle (UAV) imagery for natural vegetation communities classification using machine learning approaches
Author:
Affiliation:
1. College of Forest Resources and Environmental Science, Michigan Technological University, Houghton, MI, USA
Funder
Nature Conservancy
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/15481603.2023.2177448
Reference119 articles.
1. Minnesota’s Native Plant Community Classification: A Statewide Classification of Terrestrial and Wetland Vegetation Based on Numerical Analysis of Plot Data;Aaseng N. E.;Biological Report,2011
2. Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review
3. Prediction of Groundwater Quality Index to Assess Suitability for Drinking Purpose Using Averaged Neural Network and Geospatial Analysis;Ahn S. H.;Hydrology and Earth System Sciences Discussions,2022
4. Principal component analysis applied to feature-oriented band ratios of hyperspectral data: A tool for vegetation studies
5. Practical Statistics for Medical Research
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Enhancing individual tree mortality mapping: The impact of models, data modalities, and classification taxonomy;Remote Sensing of Environment;2024-01
2. Detailed wetland-type classification using Landsat-8 time-series images: a pixel- and object-based algorithm with knowledge (POK);GIScience & Remote Sensing;2023-12-15
3. Diurnal urban heat risk assessment using extreme air temperatures and real-time population data in Seoul;iScience;2023-11
4. A New Remote Sensing Service Mode for Agricultural Production and Management Based on Satellite–Air–Ground Spatiotemporal Monitoring;Agriculture;2023-10-27
5. Mapping Vegetation Types by Different Fully Convolutional Neural Network Structures with Inadequate Training Labels in Complex Landscape Urban Areas;Forests;2023-09-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3