VEGETATIONWATER CONTENT... OR VEGETATION CANOPY WATER?

被引：0

作者：

Hornbuckle, Brian ^{[1
]}

机构：

[1] Iowa State Univ Sci & Technol, Ames, IA 50011 USA

来源：

IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2023年

关键词：

Microwave remote sensing; vegetation water content; soil moisture; OPTICAL DEPTH; MOISTURE;

D O I：

10.1109/IGARSS52108.2023.10283364

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Attenuation of microwave radiation by a vegetation canopy can be quantified by the vegetation optical depth (VOD). VOD is directly proportional to the total mass of liquid water contained within vegetation tissue per ground area. Traditionally this quantity has been called the vegetation water content (VWC). However, it is an extensive property and other terms characterizing the liquid water in both soil and vegetation that use the word "content" are all intensive properties. I propose that the microwave remote sensing community instead use the term vegetation canopy water or VCW because the same three letters in the acronym are retained.

引用

页码：3163 / 3166

页数：4

共 50 条

[21] Multi-temporal vegetation canopy water content retrieval and interpretation using artificial neural networks for the continental USA
Trombetti, M.
Riano, D.
Rubio, M. A.
Cheng, Y. B.
Ustin, S. L.
REMOTE SENSING OF ENVIRONMENT, 2008, 112 (01) : 203 - 215
[22] Estimation of vegetation water content at leaf and canopy level using dual-wavelength commercial terrestrial laser scanners
Elsherif, Ahmed
Gaulton, Rachel
Mills, Jon
INTERFACE FOCUS, 2018, 8 (02)
[23] Estimation of water content in vegetation from hyperspectral vegetation indices
Sagalovich, V.N.
Falkov, E.Ya.
Tzareva, T.I.
Issledovanie Zemli iz Kosmosa, 2004, (01): : 63 - 67
[24] Estimating Grassland Chlorophyll Content at Canopy Scales Using Hyperspectral Vegetation Indices
Karakoc, Ahmet
Karabulut, Murat
JOURNAL OF GEOGRAPHY-COGRAFYA DERGISI, 2021, (43): : 77 - 91
[25] Improving the Retrieval of Crop Canopy Chlorophyll Content Using Vegetation Index Combinations
Sun, Qi
Jiao, Quanjun
Qian, Xiaojin
Liu, Liangyun
Liu, Xinjie
Dai, Huayang
REMOTE SENSING, 2021, 13 (03) : 1 - 20
[26] Estimation of chlorophyll content in plant leaves and canopy from hyperspectral vegetation indexes
Sagalovich, V.N.
Falkov, E.Ya.
Tsareva, T.I.
Issledovanie Zemli iz Kosmosa, 2002, (06): : 81 - 85
[27] USE SPECTRAL DERIVATIVES FOR ESTIMATING CANOPY WATER CONTENT
Clevers, J. G. P. W.
100 YEARS ISPRS ADVANCING REMOTE SENSING SCIENCE, PT 2, 2010, 38 : 143 - 147
[28] Estimation of water content for short vegetation based on PROSAIL model and vegetation water indices
Jiang H.
Chai L.
Jia K.
Liu J.
Yang S.
Zheng J.
National Remote Sensing Bulletin, 2021, 25 (04) : 1025 - 1036
[29] Estimating the relative water content of leaves in a cotton canopy
Vanderbilt, Vern
Daughtry, Craig
Kupinski, Meridith
Bradley, Christine
French, Andrew
Bronson, Kevin
Chipman, Russell
Dahlgren, Robert
POLARIZATION SCIENCE AND REMOTE SENSING VIII, 2017, 10407
[30] Dynamic Characteristics of Canopy and Vegetation Water Content during an Entire Maize Growing Season in Relation to Spectral-Based Indices
Zhou, Huailin
Zhou, Guangsheng
Song, Xingyang
He, Qijin
REMOTE SENSING, 2022, 14 (03)

← 1 2 3 4 5 →