Advancements in drought using remote sensing: assessing progress, overcoming challenges, and exploring future opportunities
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00704-024-04914-w.pdf
Reference242 articles.
1. Abbaspour KC, Faramarzi M, Ghasemi SS, Yang H (2009) Assessing the impact of climate change on water resources in Iran. Water Resour Res 45. https://doi.org/10.1029/2008WR007615
2. Adab H, Morbidelli R, Saltalippi C et al (2020) Machine Learning to Estimate Surface Soil Moisture from Remote Sensing Data. Water 12:3223. https://doi.org/10.3390/w12113223
3. Adão T, Hruška J, Pádua L et al (2017) Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry. Remote Sens 9:1110. https://doi.org/10.3390/rs9111110
4. Agam N, Kustas WP, Anderson MC et al (2007) A vegetation index based technique for spatial sharpening of thermal imagery. Remote Sens Environ 107:545–558. https://doi.org/10.1016/j.rse.2006.10.006
5. AghaKouchak A, Farahmand A, Melton FS et al (2015) Remote sensing of drought: Progress, challenges and opportunities. Rev Geophys 53:452–480. https://doi.org/10.1002/2014RG000456
Cited by 4 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. Quantification of interactions among agricultural drought indices within Köppen–Geiger climate zones in Bangladesh;Agricultural Water Management;2024-09
2. Examining optimized machine learning models for accurate multi-month drought forecasting: A representative case study in the USA;Environmental Science and Pollution Research;2024-08-13
3. Integration of machine learning and remote sensing for drought index prediction: A framework for water resource crisis management;Earth Science Informatics;2024-08-07
4. Prediction of Canopy Cover for Agricultural Land Classification in Land Parcel Identification System (LPIS) Data Using Planet-Scope Multispectral Images: A Case Study of Gelendost District;Black Sea Journal of Agriculture;2024-07-15
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