Height estimation of sugarcane using an unmanned aerial system (UAS) based on structure from motion (SfM) point clouds-Reference-Cited by-同舟云学术

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Height estimation of sugarcane using an unmanned aerial system (UAS) based on structure from motion (SfM) point clouds

Published:2017-01-31 Issue:8-10 Volume:38 Page:2218-2230
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

De Souza Carlos Henrique Wachholz¹^ORCID,Lamparelli Rubens Augusto Camargo²^ORCID,Rocha Jansle Vieira¹,Magalhães Paulo Sergio Graziano¹³^ORCID

Affiliation:

1. School of Agricultural Engineering, University of Campinas, UNICAMP, Campinas, SP, Brazil

2. Interdisciplinary Center for Energy Planning, University of Campinas, UNICAMP, Campinas, SP, Brazil

3. Brazilian Bioethanol Science and Technology Laboratory, CTBE, Brazilian Centre for Research in Energy and Material, CNPEM, Campinas, SP, Brazil

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2017.1285082

Reference35 articles.

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

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

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

4. Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley

5. Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle

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3. Registration of ‘CP 13‐1954’ sugarcane for Florida organic soils;Journal of Plant Registrations;2024-04-04

4. Bridging the gap between crop breeding and GeoAI: Soybean yield prediction from multispectral UAV images with transfer learning;ISPRS Journal of Photogrammetry and Remote Sensing;2024-04

5. Sugarcane yield estimation in Thailand at multiple scales using the integration of UAV and Sentinel-2 imagery;Precision Agriculture;2024-02-22

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