Assessment of karst rocky desertification from the local to regional scale based on unmanned aerial vehicle images: a case study of Shilin County, Yunnan Province, China

2021 ◽  
Author(s):  
Guanghui Dai ◽  
Hu Sun ◽  
Bin Wang ◽  
Conghong Huang ◽  
Wenli Wang ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Yunnan Province ◽  
Regional Scale ◽  
Karst Rocky Desertification ◽  
Rocky Desertification ◽  
Aerial Vehicle

Karst Rocky Desertification Remote Sensing Monitoring by Integrating Land Use Diagnoses in Southeast of Yunnan Province

2013 ◽  
Vol 444-445 ◽  
pp. 869-873
Author(s):  
Shu Gan ◽  
Xi Ping Yuan ◽  
Gang Sun ◽  
Xiao Lun Zhang ◽  
Ying Li
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Yunnan Province ◽  
Actual Condition ◽  
Karst Rocky Desertification ◽  
Rocky Desertification ◽  
Remote Sensing Monitoring ◽  
Case Study Area ◽  
Remote Sensing Image Processing

Karst rocky desertification is one of the serious environment problems in southwest of China. In this study, a typical county with karst rocky desertification which located in Southeast of Yunnan province is selected as a work area at first. Based on the datum collection about land use status and field verification surveying in study area, the technique of remote sensing image processing and GIS spatial analysis was integrated used to monitor the karst rocky desertification status and got its information in different degree. Analysis for karst rocky desertification spatial distributing, the main result is that there is more amount proportion of karst rocky desertification land cover in case study area and these large numbers patches of karst rocky desertification mosaic beset in the different land use types, such as forest, plantation and artificial town or other infrastructure building. So it is stringent need to deepen research the karst rocky desertification development and its spatial expand. Another result include that remote sensing monitoring for the karst rocky desertification is one of the important advance technique method, but it also need to fuse more another assistant information according to the actual condition in case study area, for example, the land use status in quo is a good means to assistant remote sensing monitoring karst rocky desertification by spatial restrict effect.

scholarly journals How Accurate Is an Unmanned Aerial Vehicle Data-Based Model Applied on Satellite Imagery for Chlorophyll-a Estimation in Freshwater Bodies?

2021 ◽  
Vol 13 (6) ◽  
pp. 1134
Author(s):  
Anas El-Alem ◽  
Karem Chokmani ◽  
Aarthi Venkatesan ◽  
Lhissou Rachid ◽  
Hachem Agili ◽  
...  
Keyword(s):  
Chlorophyll A ◽  
Unmanned Aerial Vehicle ◽  
Optical Sensors ◽  
Regional Scale ◽  
Turbid Waters ◽  
Vehicle Data ◽  
Freshwater Bodies ◽  
Aerial Vehicle ◽  
Leave One Out ◽  
Semi Empirical

Optical sensors are increasingly sought to estimate the amount of chlorophyll a (chl_a) in freshwater bodies. Most, whether empirical or semi-empirical, are data-oriented. Two main limitations are often encountered in the development of such models. The availability of data needed for model calibration, validation, and testing and the locality of the model developed—the majority need a re-parameterization from lake to lake. An Unmanned aerial vehicle (UAV) data-based model for chl_a estimation is developed in this work and tested on Sentinel-2 imagery without any re-parametrization. The Ensemble-based system (EBS) algorithm was used to train the model. The leave-one-out cross validation technique was applied to evaluate the EBS, at a local scale, where results were satisfactory (R2 = Nash = 0.94 and RMSE = 5.6 µg chl_a L−1). A blind database (collected over 89 lakes) was used to challenge the EBS’ Sentine-2-derived chl_a estimates at a regional scale. Results were relatively less good, yet satisfactory (R2 = 0.85, RMSE= 2.4 µg chl_a L−1, and Nash = 0.79). However, the EBS has shown some failure to correctly retrieve chl_a concentration in highly turbid waterbodies. This particularity nonetheless does not affect EBS performance, since turbid waters can easily be pre-recognized and masked before the chl_a modeling.

scholarly journals Unmanned Aerial Vehicle-based Traffic Analysis: A Case Study to Analyze Traffic Streams at Urban Roundabouts

2018 ◽  
Vol 130 ◽  
pp. 636-643 ◽  
Author(s):  
Muhammad Arsalan Khan ◽  
Wim Ectors ◽  
Tom Bellemans ◽  
Yassine Ruichek ◽  
Ansar-ul-Haque Yasar ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Traffic Analysis ◽  
Aerial Vehicle

scholarly journals Design and Validation of a New Morphing Camber System by Testing in the Price—Païdoussis Subsonic Wind Tunnel

Aerospace ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. 23 ◽  
Author(s):  
David Communier ◽  
Ruxandra Mihaela Botez ◽  
Tony Wong
Keyword(s):  
Wind Tunnel ◽  
Unmanned Aerial Vehicle ◽  
Lift Coefficient ◽  
Angle Of Attack ◽  
Leading Edge ◽  
Trailing Edge ◽  
Subsonic Wind Tunnel ◽  
Aerial Vehicle ◽  
Stall Angle

This paper presents the design and wind tunnel testing of a morphing camber system and an estimation of performances on an unmanned aerial vehicle. The morphing camber system is a combination of two subsystems: the morphing trailing edge and the morphing leading edge. Results of the present study show that the aerodynamics effects of the two subsystems are combined, without interfering with each other on the wing. The morphing camber system acts only on the lift coefficient at a 0° angle of attack when morphing the trailing edge, and only on the stall angle when morphing the leading edge. The behavior of the aerodynamics performances from the MTE and the MLE should allow individual control of the morphing camber trailing and leading edges. The estimation of the performances of the morphing camber on an unmanned aerial vehicle indicates that the morphing of the camber allows a drag reduction. This result is due to the smaller angle of attack needed for an unmanned aerial vehicle equipped with the morphing camber system than an unmanned aerial vehicle equipped with classical aileron. In the case study, the morphing camber system was found to allow a reduction of the drag when the lift coefficient was higher than 0.48.

Application of Unmanned Aerial Vehicle Remote Sensing for Geological Disaster Reconnaissance along Transportation Lines: A Case Study

2012 ◽  
Vol 226-228 ◽  
pp. 2376-2379 ◽  
Author(s):  
Ji Ping Hu ◽  
Wen Bin Wu ◽  
Qu Lin Tan
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicle ◽  
High Efficiency ◽  
Scientific Data ◽  
Geological Investigation ◽  
Geological Disaster ◽  
Transportation Line ◽  
Aerial Vehicle ◽  
Engineering Geological Investigation

Compared with conventional airborne remote sensing application to engineering geological investigation, High precision Unmanned Aerial Vehicle Remote Sensing (UAV-RS) technology can improve work condition with advantages of high flexibility, low cost, high efficiency and up-to-date situation acquisition. Especially, it has very important engineering significance for quick and urgent geological disaster reconnaissance along transportation lines. In the paper, some aspects of application to transportation-line (pipeline, highway and railway) engineering geological investigation were discussed. The concerned key points, including components of UAV-RS system, data processing workflow and image interpretation were analyzed. As a case study, a UAV-RS application project for transportation-line geological disaster investigation was given. The utilization of this new remote sensing technology successfully collected and discovered potential geological disasters and provided scientific data for timely decision-making.

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