• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

THE GRAPE REMOTE SENSING ATMOSPHERIC PROFILE AND EVAPOTRANSPIRATION EXPERIMENT.

作者信息

Kustas William P, Anderson Martha C, Alfieri Joseph G, Knipper Kyle, Torres-Rua Alfonso, Parry Christopher K, Nieto Hector, Agam Nurit, White William A, Gao Feng, McKee Lynn, Prueger John H, Hipps Lawrence E, Los Sebastian, Alsina Maria Mar, Sanchez Luis, Sams Brent, Dokoozlian Nick, McKee Mac, Jones Scott, Yang Yun, Wilson Tiffany G, Lei Fangni, McElrone Andrew, Heitman Josh L, Howard Adam M, Post Kirk, Melton Forrest, Hain Christopher

机构信息

Kustas, Anderson, Alfieri, Knipper, White, Gao, L. McKee, Yang, Wilson, and Lei-Hydrology and Remote Sensing Laboratory, USDA ARS, Beltsville, Maryland; Torres-Rua and M. McKee-Utah Water Research Laboratory, Utah State University, Logan, Utah; Parry and McElrone-Crops Pathology and Genetics Research, University of California, Davis, and USDA ARS, Davis, California; Nieto-Institute for Food and Agricultural Research and Technology, Lleida, Spain; Agam-Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Beersheba, Israel; Prueger-National Laboratory for Agriculture and the Environment, USDA ARS, Ames, Iowa; Hipps, Los, and Jones-Department of Plants, Soils and Climate, Utah State University, Logan, Utah; Alsina, Sanchez, Sams, and Dokoozlian-Viticulture, Chemistry and Enology, E. & J. Gallo Winery, Modesto, California; Heitman And Howard-Department of Soil Science, North Carolina State University at Raleigh, Raleigh, North Carolina; Post-School of Natural Resources, California State University, Monterey Bay, Marina, California; Melton-School of Natural Resources, California State University, Monterey Bay, Marina, California, and NASA Ames Research Center, Moffett Field, California; Hain-NASA MSFC, Huntsville, Alabama.

出版信息

Bull Am Meteorol Soc. 2018 Sep 1;99(9):1791-1812. doi: 10.1175/bams-d-16-0244.1.

DOI:10.1175/bams-d-16-0244.1
PMID:33828330
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8022860/
Abstract
摘要

相似文献

1
THE GRAPE REMOTE SENSING ATMOSPHERIC PROFILE AND EVAPOTRANSPIRATION EXPERIMENT.葡萄遥感大气剖面与蒸散实验
Bull Am Meteorol Soc. 2018 Sep 1;99(9):1791-1812. doi: 10.1175/bams-d-16-0244.1.
2
Implications of sensor inconsistencies and remote sensing error in the use of small unmanned aerial systems for generation of information products for agricultural management.小型无人航空系统用于生成农业管理信息产品时传感器不一致性和遥感误差的影响。
Proc SPIE Int Soc Opt Eng. 2018 Jul 30;10664. doi: 10.1117/12.2305826. Epub 2018 May 21.
3
Intercomparison of Evapotranspiration Over the Savannah Volta Basin in West Africa Using Remote Sensing Data.利用遥感数据对西非萨凡纳沃尔特河流域蒸散量的相互比较
Sensors (Basel). 2008 Apr 17;8(4):2736-2761. doi: 10.3390/s8042736.
4
Estimation of Actual Evapotranspiration by Remote Sensing: Application in Thessaly Plain, Greece.利用遥感技术估算实际蒸散量:在希腊色萨利平原的应用
Sensors (Basel). 2008 Jun 1;8(6):3586-3600. doi: 10.3390/s8063586.
5
Inter-comparison of thermal measurements using ground-based sensors, UAV thermal cameras, and eddy covariance radiometers.使用地面传感器、无人机热成像相机和涡度相关辐射计进行热测量的相互比较。
Proc SPIE Int Soc Opt Eng. 2018 Jul 30;10664. doi: 10.1117/12.2305832. Epub 2018 Jul 16.
6
Integrating Remote Sensing Information Into A Distributed Hydrological Model for Improving Water Budget Predictions in Large-scale Basins through Data Assimilation.将遥感信息集成到分布式水文模型中,通过数据同化改进大型流域的水量平衡预测。
Sensors (Basel). 2008 Jul 29;8(7):4441-4465. doi: 10.3390/s8074441.
7
[Estimating evapotranspiration of plantation with non-uniform terrain based on two-wavelength method.].基于双波长法估算地形不均匀人工林蒸散量
Ying Yong Sheng Tai Xue Bao. 2019 Jul;30(7):2145-2155. doi: 10.13287/j.1001-9332.201907.018.
8
Estimating evapotranspiration and drought stress with ground-based thermal remote sensing in agriculture: a review.基于地面热遥感估算农业蒸散和干旱胁迫:综述。
J Exp Bot. 2012 Aug;63(13):4671-712. doi: 10.1093/jxb/ers165.
9
Potential use of remote sensing techniques in evapotranspiration estimations at watershed level.遥感技术在流域蒸散估算中的潜在应用。
Environ Monit Assess. 2018 Sep 21;190(10):601. doi: 10.1007/s10661-018-6955-1.
10
[Atmospheric adjacency effect correction of ETM images].[ETM 影像的大气邻接效应校正]
Guang Pu Xue Yu Guang Pu Fen Xi. 2010 Sep;30(9):2529-32.

引用本文的文献

1
Post-processed data and graphical tools for a CONUS-wide eddy flux evapotranspiration dataset.用于美国大陆范围涡流通量蒸发散数据集的后处理数据和图形工具。
Data Brief. 2023 May 30;48:109274. doi: 10.1016/j.dib.2023.109274. eCollection 2023 Jun.
2
Application of a remote-sensing three-source energy balance model to improve evapotranspiration partitioning in vineyards.应用遥感三源能量平衡模型改进葡萄园蒸散量的分配
Irrig Sci. 2022;40(4-5):593-608. doi: 10.1007/s00271-022-00787-x. Epub 2022 Apr 5.
3
Inter-annual variability of land surface fluxes across vineyards: the role of climate, phenology, and irrigation management.葡萄园地表通量的年际变化:气候、物候和灌溉管理的作用。
Irrig Sci. 2022;40(4-5):463-480. doi: 10.1007/s00271-022-00784-0. Epub 2022 Apr 15.
4
Evaluation of satellite Leaf Area Index in California vineyards for improving water use estimation.评估加利福尼亚葡萄园中的卫星叶面积指数以改进用水估算
Irrig Sci. 2022;40(4-5):531-551. doi: 10.1007/s00271-022-00798-8. Epub 2022 Jun 9.
5
Effects of meteorological and land surface modeling uncertainty on errors in winegrape ET calculated with SIMS.气象和陆面建模不确定性对利用SIMS计算的酿酒葡萄蒸散误差的影响。
Irrig Sci. 2022;40(4-5):515-530. doi: 10.1007/s00271-022-00808-9. Epub 2022 Aug 13.
6
Improving the spatiotemporal resolution of remotely sensed ET information for water management through Landsat, Sentinel-2, ECOSTRESS and VIIRS data fusion.通过Landsat、哨兵-2、ECOSTRESS和VIIRS数据融合提高用于水资源管理的遥感蒸散信息的时空分辨率。
Irrig Sci. 2022;40(4-5):609-634. doi: 10.1007/s00271-022-00799-7. Epub 2022 May 21.
7
Assessing Daily Evapotranspiration Methodologies from One-Time-of-Day sUAS and EC Information in the Project.在该项目中,根据单日小型无人机系统(sUAS)和涡度相关法(EC)信息评估日蒸散量方法。
Remote Sens (Basel). 2021 Aug 1;13(15):2887. doi: 10.3390/rs13152887. Epub 2021 Jul 23.
8
Evapotranspiration partitioning assessment using a machine-learning-based leaf area index and the two-source energy balance model with sUAV information.利用基于机器学习的叶面积指数和带有无人机信息的双源能量平衡模型进行蒸散量分配评估。
Proc SPIE Int Soc Opt Eng. 2021;11747. doi: 10.1117/12.2586259. Epub 2021 Apr 12.
9
Detecting Plant Stress Using Thermal and Optical Imagery From an Unoccupied Aerial Vehicle.利用无人机的热成像和光学成像检测植物胁迫
Front Plant Sci. 2021 Oct 27;12:734944. doi: 10.3389/fpls.2021.734944. eCollection 2021.
10
Sharpening ECOSTRESS and VIIRS land surface temperature using harmonized Landsat-Sentinel surface reflectances.利用协调后的陆地卫星-哨兵地表反射率提高ECOSTRESS和VIIRS陆地表面温度。
Remote Sens Environ. 2020 Dec 15;251:112055. doi: 10.1016/j.rse.2020.112055. Epub 2020 Sep 8.

本文引用的文献

1
Surface renewal: an advanced micrometeorological method for measuring and processing field-scale energy flux density data.表面更新:一种用于测量和处理田间尺度能量通量密度数据的先进微气象学方法。
J Vis Exp. 2013 Dec 12(82):e50666. doi: 10.3791/50666.