Retrieval of cotton plant water content by UAV-based vegetation supply water index (VSWI)-Reference-Cited by-同舟云学术

Retrieval of cotton plant water content by UAV-based vegetation supply water index (VSWI)

Published:2020-02-06 Issue:11 Volume:41 Page:4389-4407
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Chen Shuobo¹,Chen Yinwen²,Chen Junying¹,Zhang Zhitao¹,Fu Qiuping³,Bian Jiang¹,Cui Ting¹,Ma Yizhe¹

Affiliation:

1. College of Water Resources and Architectural Engineering, Key Laboratory of Agricultural Soil and Water Engineering in the Ministry of Education, Northwest A＆F University, Yangling, China

2. Department of Foreign Languages, Northwest A＆F University, Yangling, China

3. College of Water Conservancy and Civil Engineering, Xinjiang Agricultural University, Urumqi, China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2020.1718234

Reference57 articles.

1. Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance

2. The effects of mulching on maize growth, yield and water use in a semi-arid region

3. Effects of different irrigation methods on shedding and yield of cotton

4. Pheno-Copter: A Low-Altitude, Autonomous Remote-Sensing Robotic Helicopter for High-Throughput Field-Based Phenotyping

5. Evaluation of Vegetation Indices and a Modified Simple Ratio for Boreal Applications

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