Multi-Source Mapping of Forest Susceptibility to Spruce Budworm Defoliation Based on Stand Age and Composition across a Complex Landscape in Maine, USA
Author:
Affiliation:
1. School of Forest Resources, College of Natural Sciences, Forestry, and Agriculture, University of Maine, Orono, ME 04469, USA
Funder
National Aeronautics and Space Administration
USDA National Institute of Food and Agriculture
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/07038992.2022.2145460
Reference86 articles.
1. Comparison of Sentinel-2 and Landsat 8 imagery for forest variable prediction in boreal region
2. Classifying Complex Mountainous Forests with L-Band SAR and Landsat Data Integration: A Comparison among Different Machine Learning Methods in the Hyrcanian Forest
3. Estimating species-specific leaf area index and basal area using optical and SAR remote sensing data in Acadian mixed spruce-fir forests, USA
4. Sentinel-2 based prediction of spruce budworm defoliation using red-edge spectral vegetation indices
5. Spruce budworm tree host species distribution and abundance mapping using multi-temporal Sentinel-1 and Sentinel-2 satellite imagery
Cited by 3 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. Estimating nutritive, non-nutritive and defense foliar traits in spruce-fir stands using remote sensing and site data;Forest Ecology and Management;2023-12
2. Tree-level responses to commercial thinning in spruce-fir forests across northern Maine, USA;Forest Ecology and Management;2023-10
3. Estimating Nutritive, Non-Nutritive and Defense Foliar Traits in Spruce-Fir Stands Using Remote Sensing and Site Data;2023
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