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

[1] Dependence of attenuation in a vegetation canopy on frequency and plant water content
LeVine, DM
Karam, MA
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1996, 34 (05): : 1090 - 1096
[2] Estimating Canopy Water Content in Wheat Based on New Vegetation Water Index
Cheng Xiao-juan
Yang Gui-jun
Xu Xin-gang
Chen Tian-en
Li Zhen-hai
Feng Hai-kuan
Wang Dong
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34 (12) : 3391 - 3396
[3] Comparison of hyperspectral retrievals with vegetation water indices for leaf and canopy water content
Hunt, E. Raymond
Daughtry, Craig S. T.
Qu, John J.
Wang, Lingli
Hao, Xianjun
REMOTE SENSING AND MODELING OF ECOSYSTEMS FOR SUSTAINABILITY VIII, 2011, 8156
[4] An applied vegetation canopy model and its application in inversion of vegetation coverage and water content
Deng, RR
Liu, QH
Tian, GL
Xin, XZ
Liu, Q
Gong, H
IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET, 2002, : 1953 - 1955
[5] Retrieving vegetation canopy water content from hyperspectral thermal measurements
Neinavaz, Elnaz
Skidmore, Andrew K.
Darvishzadeh, Roshanak
Groen, Thomas A.
AGRICULTURAL AND FOREST METEOROLOGY, 2017, 247 : 365 - 375
[6] Estimation models for vegetation water content at both leaf and canopy levels
Shen, Y
Shi, RH
Niu, Z
Yan, CY
IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings, 2005, : 1387 - 1389
[7] Estimation of Vegetation Canopy Water Content Using Hyperion Hyperspectral Data
Song Xiao-ning
Ma Jian-wei
Li Xiao-tao
Leng Pei
Zhou Fang-cheng
Li Shuang
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33 (10) : 2833 - 2837
[8] Retrieval of Vegetation Canopy Water Content Based on Spectral Index Method
Zhang, Linjing
Ma, Hongzhang
Zhu, Xiaobo
Sun, Lin
PROGRESS IN ENVIRONMENTAL PROTECTION AND PROCESSING OF RESOURCE, PTS 1-4, 2013, 295-298 : 2446 - +
[9] Retrieving Leaf and Canopy Water Content of Winter Wheat Using Vegetation Water Indices
Zhang, Chao
Pattey, Elizabeth
Liu, Jiangui
Cai, Huanjie
Shang, Jiali
Dong, Taifeng
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 11 (01) : 112 - 126
[10] Vegetation impacts soil water content patterns by shaping canopy water fluxes and soil properties
Metzger, Johanna Clara
Wutzler, Thomas
Dalla Valle, Nicolas
Filipzik, Janett
Grauer, Christoph
Lehmann, Robert
Roggenbuck, Martin
Schelhorn, Danny
Weckmueller, Josef
Kuesel, Kirsten
Totsche, Kai Uwe
Trumbore, Susan
Hildebrandt, Anke
HYDROLOGICAL PROCESSES, 2017, 31 (22) : 3783 - 3795

← 1 2 3 4 5 →