Satellite and UAV Platforms, Remote Sensing for Geographic Information Systems-Reference-Cited by-同舟云学术

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Satellite and UAV Platforms, Remote Sensing for Geographic Information Systems

Published:2022-06-17 Issue:12 Volume:22 Page:4564
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Colpaert Alfred^ORCID

Abstract

Satellite and UAV (unmanned aerial vehicle) imagery has become an important source of data for Geographic Information Systems (GISs) [...]

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

https://www.mdpi.com/1424-8220/22/12/4564/pdf

Reference10 articles.

1. Generating Time-Series LAI Estimates of Maize Using Combined Methods Based on Multispectral UAV Observations and WOFOST Model

2. Soil Salinity Inversion of Winter Wheat Areas Based on Satellite-Unmanned Aerial Vehicle-Ground Collaborative System in Coastal of the Yellow River Delta

3. Analysis of UAV-Acquired Wetland Orthomosaics Using GIS, Computer Vision, Computational Topology and Deep Learning

4. Hierarchical Mission Planning with a GA-Optimizer for Unmanned High Altitude Pseudo-Satellites

5. Monitoring Winter Stress Vulnerability of High-Latitude Understory Vegetation Using Intraspecific Trait Variability and Remote Sensing Approaches

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluation of the Effect of Sentinel-1 SAR and Environmental Factors in Alfalfa Yield and Quality Estimation;Agronomy;2024-04-19

2. Unmanned Aerial Vehicle for District Surveillance with Computer Vision and Machine Learning;2023 7th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech);2023-12-18

3. METHODOLOGY TO IMPROVE THE ACCURACY OF DETERMINING THE POSITION OF UAVS EQUIPPED WITH SINGLE-FREQUENCY RECEIVERS FOR THE PURPOSES OF GATHERING DATA ON AVIATION OBSTACLES;Scientific Journal of Silesian University of Technology. Series Transport;2023-06-01

4. A comparison between Pixel-based deep learning and Object-based image analysis (OBIA) for individual detection of cabbage plants based on UAV Visible-light images;Computers and Electronics in Agriculture;2023-06

5. Multivariable numerical optimisation and parametric study for a new kick-stage space vehicle for LEO applications;Aerospace Science and Technology;2023-04

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