Using spectral distance, spectral angle and plant abundance derived from hyperspectral imagery to characterize crop yield variation
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Agricultural and Biological Sciences
Link
http://link.springer.com/content/pdf/10.1007/s11119-011-9248-z.pdf
Reference30 articles.
1. Adams, J. B., Smith, M. O., & Johnson, P. E. (1986). Spectral mixture modeling: A new analysis of rock and soil types at the Viking Lander 1 site. Journal of Geophysical Research, 91, 8098–8112.
2. Baret, F., & Guyot, G. (1991). Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sensing of Environment, 35, 61–173.
3. Bateson, A., & Curtiss, B. (1996). A method for manual endmember and spectral unmixing selection. Remote Sensing of Environment, 55, 229–243.
4. Broge, N. H., & Leblanc, E. (2000). Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density. Remote Sensing of Environment, 76, 156–172.
5. Campbell, J. B. (2002). Introduction to remote sensing (3rd ed.). New York: The Guilford Press.
Cited by 30 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 the Canopy Nitrogen Content in Maize by Using the Transform-Based Dynamic Spectral Indices and Random Forest;Sustainability;2024-09-13
2. Integration of Sentinel-1 and Sentinel-2 Data for Ground Truth Sample Migration for Multi-Temporal Land Cover Mapping;Remote Sensing;2024-04-28
3. Semisupervised hyperspectral image classification based on generative adversarial networks and spectral angle distance;Scientific Reports;2023-12-12
4. Tracer concentration mapping in a stream with hyperspectral images from unoccupied aerial systems;Advances in Water Resources;2023-12
5. Prediction of Oleic Acid Content in Brassica napus L. Seeds Based on Hyperspectral Parameters at Seedling Stage: A New Method for Rapidly Screening Germplasm with Different Oleic Acid Content at Early Growth Stage of Rapeseed;2023-01-16
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