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Early Detection of Invasive Exotic Trees Using UAV and Manned Aircraft Multispectral and LiDAR Data
2019
Remote Sensing
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of predictors and found that the most useful models included data from both sensors. ...
However, the combination of ALS and multispectral data did not significantly improve classification accuracy. ...
In contrast to the data from the manned aircraft, classification accuracy for single band models developed from the UAV were, with the exception of the model with the near infra-red band, markedly lower ...
doi:10.3390/rs11151812
fatcat:kaqhl43m65dvxi66vqxiwc3fuu
Land Cover Classification from fused DSM and UAV Images Using Convolutional Neural Networks
2019
Remote Sensing
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In this work, we focus on the fusion of DSM and UAV images for land use/land cover mapping via classification into seven classes: bare land, buildings, dense vegetation/trees, grassland, paved roads, shadows ...
Currently, there are no (or only a few) studies that have been done to increase the land cover classification accuracy via unmanned aerial vehicle (UAV)–digital surface model (DSM) fused datasets. ...
Acknowledgments: The authors would like to thank Faculty of Engineering, the Universiti Putra Malaysia and Faculty of Engineering and Information Technology, the University of Technology Sydney for providing ...
doi:10.3390/rs11121461
fatcat:qzknbuvcuvgm3mgqhy5oiwsjci
Mini-UAV-based Remote Sensing: Techniques, Applications and Prospectives
[article]
2018
arXiv
pre-print
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Considering the popularity and expansion of UAV-based remote sensing in recent years, this paper provides a systematic survey on the recent advances and future prospectives of UAVs in the remote-sensing ...
Then, we provide an overview of the widespread applications of UAVs in remote sensing. Finally, some prospects for future work are discussed. ...
However, the use of high-standard multi-or hyper-spectral sensors, which are beneficial for species classification, remains a challenge due to the high weight. ...
arXiv:1812.07770v2
fatcat:l4tdfpr55jbjvhxzi47lwrs2re
Drones for Biodiversity Conservation and Ecological Monitoring
2019
Figshare
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Drones for Biodiversity Conservation and Ecological Monitoring ...
We also thank the Ebro Delta Natural Park and the Rangers Service of the Catalan Government for the facilities offered during the capture of UAV images. ...
We thank Keeyen Pang from Hornbillsurveys for building the drones and his support. Many thanks to James Waterman for his statistical advice. ...
doi:10.6084/m9.figshare.11322092.v1
fatcat:lzjshsnscnb2pnnn6j4k5vfejy
Geospatial Approaches to Monitoring the Spread of Invasive Species of Solidago spp
2021
Remote Sensing
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We can also say that due to the spectral proximity of the surrounding vegetation, the spectral resolution in four spectral bands is insufficient for the classification of multispectral records in the case ...
of Solidago spp. and cannot replace the advantages of high spectral resolution hyperspectral imaging, which significantly refines the feature space for Solidago spp. and the surrounding vegetation. ...
Subsequently, combining data from different types of sensors, such as optical and synthetic-aperture radar (SAR), improves classification accuracy [50] . ...
doi:10.3390/rs13234787
fatcat:q6npilxgvjetjepu3sj6cm3u3i
Remote Sensing Technologies for the Assessment of Marine and Coastal Ecosystems
[chapter]
2016
Seafloor Mapping along Continental Shelves
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The GeoEye Foundation and Digital Globe for explicitly permitting use free-of-charge the satellite images. The European Space Agency (ESA) for providing the MERIS data and IKONOS-2 images. ...
Acknowledgements The authors wish to thank the General Directorate for the Territory (DGT) for supporting the research under the FIGGIE Program. ...
Figure 3 .2 shows a land cover map of the Site of Community Importance (SCI) of the Sado Estuary derived from a LANDSAT-7 ETM+ image containing 13 vegetation units (two wetland and three water classes) ...
doi:10.1007/978-3-319-25121-9_3
fatcat:lrnqwl573fagxcezvevs2a3p3y
Remote Sensing-Based Dynamic Monitoring of Immovable Cultural Relics, from Environmental Factors to the Protected Cultural Site: A Case Study of the Shunji Bridge
2021
Sustainability
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The Shunji Bridge, a destroyed cultural relic, located in the Jinjiang River Basin, Fujian Province, China, was studied in terms of the environmental factors at the macroscale and the protected cultural ...
The findings of this research can provide suggestions for the protection of immovable cultural relics. ...
Acknowledgments: The authors thank the Key Laboratory of Digital Earth Science for supporting this research with the hardware device, and the three anonymous reviewers and the Academic Editor for providing ...
doi:10.3390/su13116042
fatcat:527ex4sm4bazznqbjjnhnpwmny
Ground, Proximal and Satellite Remote Sensing of Soil Moisture
2019
Reviews of Geophysics
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Soil moisture (SM) is a key hydrologic state variable that is of significant importance for numerous Earth and environmental science applications that directly impact the global environment and human society ...
for novel applications of SM information for water resources management, sustainable environmental development, and food security. ...
Acknowledgments We acknowledge funding from the National Science Foundation (NSF) via grants 1521164 and 1521469 awarded to the University of Arizona and Utah State University. ...
doi:10.1029/2018rg000618
fatcat:hcfa2uqiz5ffnf7o3fijc6rnwu
Unmanned Aerial Vehicles for Vegetation Mapping: Opportunities and Challenges
2019
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Das Ziel dieser Arbeit war die Feststellung von Vorteilen und Limitierungen der Nutzung von UAVs zur Vegetationskartierung. ...
Unbemannte Luftfahrzeuge (UAVs) werden als kostengünstige Plattform zur Gewinnung von Daten mit sehr hoher Auflösung, insbesondere für kleine Gebiete, verwendet. ...
will be challenging to obtain from a single sensor. ...
doi:10.5445/ir/1000097146
fatcat:rw23xw73pvbhxbow4ntlsgywnq
Remote sensing in support of conservation and management of heathland vegetation
2017
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Proxies obtained from UAV and airborne data provide the basis for a continuous representation of varying habitat states. ...
The innovative point was the inclusion of SAR imagery that allows for a better derivation of structural vegetation attributes. ...
From the Helmholtz Centre for Environmental Research (UFZ, Leipzig) we thank Andreas Schmidt, Steffen Lehmann and Gundula Schulz (all Department of Computational Landscape Ecology) as well as Simon Kögler ...
doi:10.5445/ir/1000076143
fatcat:futslcnzdrbxtaribl7nep2sja
Modelling and Mapping Fine-Scale Vegetation Biomass in Banff National Park Using Remotely Sensed Data Collected by Unmanned Aerial Systems
[article]
2020
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For herbaceous vegetation, combining visible-light and multispectral texture information derived from vegetation indices was the best approach to biomass estimation, and I was able to quantify the relative ...
I then modelled the distribution of shrub and herbaceous vegetation biomass across the study site and a workflow for collecting and analyzing UAS imagery for vegetati [...] ...
The other important variables for herbaceous vegetation estimation were derived from the nearinfrared and red edge single wavelengths of the multispectral sensor and require no further spectral processing ...
doi:10.11575/prism/37844
fatcat:xw6vsa6zefdsjoqmy6mcl4tgnq
On the detection and monitoring of invasive exotic conifers in New Zealand using remote sensing
[article]
2020
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Remote sensing surveys potentially offer a useful solution as they can provide valuable information across large areas of challenging terrain and can deliver detailed information about targeted areas. ...
The land area now invaded by exotic conifers is estimated to total around 2,000,000 ha and is increasing even under current management. ...
A study was designed and installed to develop and test methods aimed at very early identification of invasive conifer invasions in a vulnerable ...
doi:10.26021/10392
fatcat:ag6ljmcocfaafpbvwrmp63dofy
Characterizing multi-decadal vegetative greenness and land use dynamics across Canadian urban areas using satellite remote sensing
2020
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Second, using unmixed fractions and land cover information, I derived a dynamic land use classification scheme and applied it across Canadian peri-urban areas to quantify multi-decadal land use transitions ...
Using Landsat imagery, this thesis characterizes multi-decadal trends of vegetative greenness and land use transitions from 1984 to 2016 on the pixel and census dissemination area levels for 18 major Canadian ...
increased mapping accuracy (1.1%). ...
doi:10.14288/1.0394938
fatcat:fg55ogphkzarrhzjsxuwhhbo3q
Finnish Remote Sensing Days 2012: book of abstracts DepaRtMent oF GeoScienceS anD GeoGRaphy c7 Finnish Remote Sensing Days 2012: book of abstracts Matti Mõttus (editor) DEPARTMENT OF GEOSCIENCES AND GEOGRAPHY C7 / HELSINKI 2012
2012
unpublished
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Leave-One-Out classification results for spectral characteristics of HS sensor and the simulate spectral characteristics of UCD, UCX sensors (for the 577 plots extracted from 9 strips) are shown in Table ...
Information of reindeer herding system and its changes in the study region were derived from old maps and interviews with reindeer herders. ...
fatcat:kop7bg7y2zgb5lzfwlqgdikwhe
A tiered framework for mapping and assessing ecosystem services from semi-natural grasslands: expert-based assessments, proxy indicators and uav surveys
2020
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Each method encompasses an increasing degree of complexity and addresses a different geographical scope, from international (Baltic States) to local (coastal meadows in West Estonia). ...
At the local scale, innovative methods combining Unmanned Aerial Vehicles and multispectral sensors were used to map biomass and sward structure in coastal meadows. ...
) and the institutional research funding IUT21-1 at the Estonian Ministry of Education and Research. 212 ...
doi:10.15159/emu.55
fatcat:zsocm6lfjbhbbbowj6hodqsmvy
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