Estimation of winter-wheat above-ground biomass using the wavelet analysis of unmanned aerial vehicle-based digital images and hyperspectral crop canopy images-Reference-Cited by-同舟云学术

Estimation of winter-wheat above-ground biomass using the wavelet analysis of unmanned aerial vehicle-based digital images and hyperspectral crop canopy images

Published:2020-10-21 Issue:5 Volume:42 Page:1602-1622
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Yue Jibo¹²³^ORCID,Zhou Chengquan³⁴^ORCID,Guo Wei¹,Feng Haikuan³^ORCID,Xu Kaijian⁵^ORCID

Affiliation:

1. College of Information and Management Science, Henan Agricultural University, Zhengzhou, China

2. International Institute for Earth System Science, Nanjing University, Nanjing, China

3. Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture, Beijing Research Center for Information Technology in Agriculture, Beijing, China

4. Institute of Agricultural Equipment, Zhejiang Academy of Agricultural Sciences, Hangzhou, China

5. School of Resources and Environmental Engineering, Hefei University of Technology, Hefei, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

High-resolution Earth Observation Project of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2020.1826057

Reference64 articles.

1. Continuous Wavelet Analysis for Spectroscopic Determination of Subsurface Moisture and Water-Table Height in Northern Peatland Ecosystems

2. Aboveground biomass mapping of African forest mosaics using canopy texture analysis: toward a regional approach

3. Monitoring des Pflanzenwachstums mit Hilfe multitemporaler und hoch auflösender Oberflächenmodelle von Getreidebeständen auf Basis von Bildern aus UAV-Befliegungen

4. Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging

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