Remotely Piloted Aircraft Systems (RPAS) and machine learning: A review in the context of forest science-Reference-Cited by-同舟云学术

Remotely Piloted Aircraft Systems (RPAS) and machine learning: A review in the context of forest science

Published:2021-10-02 Issue:21 Volume:42 Page:8207-8235
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Coelho Eugenio Fernando¹,Badin Tiago Luis²,Fernandes Pablo²,Mallmann Caroline Lorenci³,Schons Cristine²,Schuh Mateus Sabadi²,Soares Pereira Rudiney²,Fantinel Roberta Aparecida²,Pereira da Silva Sally Deborah²

Affiliation:

1. Postgraduate Program in Forestry Engineering – Department of Forestry Engineering, Federal University of Santa Maria/UFSM – Ernesto Barros, Cachoeira Do Sul - RS, Brazil

2. Postgraduate Program in Forestry Engineering, Department of Forestry Engineering, Federal University of Santa Maria/UFSM - University City, Camobi, Santa Maria, RS, Brazil

3. Graduate Program in Geograph– Department of Geosciences, Federal University of Santa Maria/UFSM – University City, Camobi, Santa Maria, RS, Brazil

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2021.1975845

Reference115 articles.

1. Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry

2. Neural Networks and Deep Learning

3. Mapping land use with using Rotation Forest algorithm from UAV images

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