Estimate of winter-wheat above-ground biomass based on UAV ultrahigh-ground-resolution image textures and vegetation indices-Reference-Cited by-同舟云学术

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Estimate of winter-wheat above-ground biomass based on UAV ultrahigh-ground-resolution image textures and vegetation indices

Published:2019-04 Issue: Volume:150 Page:226-244
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Yue Jibo^ORCID,Yang Guijun^ORCID,Tian Qingjiu,Feng Haikuan,Xu Kaijian^ORCID,Zhou Chengquan

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Beijing Natural Science Foundation, China

High-resolution Earth Observation Project of China

Beijing Academy of Agriculture and Forestry Sciences, China

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference91 articles.

1. Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: from camera calibration to quality assurance;Aasen;ISPRS J. Photogramm. Remote Sens.,2015

2. Automated hyperspectral vegetation index retrieval from multiple correlation matrices with hypercor;Aasen;Photogramm. Eng. Remote Sens.,2014

3. Quantitative remote sensing at ultra-high resolution with UAV Spectroscopy: a review of sensor technology, measurement procedures, and data correction workflows;Aasen;Remote Sens.,2018

4. Hyperspectral imaging: a review on UAV-based sensors, data processing and applications for agriculture and forestry;Adão;Remote Sens.,2017

5. Field Crops Research Estimating maize and cotton yield in southeastern Turkey with integrated use of satellite images, meteorological data and digital photographs;Alganci;F. Crop. Res.,2014

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