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Mapping the Leaf Economic Spectrum across West African Tropical Forests Using UAV-Acquired Hyperspectral Imagery
2018
Remote Sensing
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We collected hyperspectral imaging data from 3 of the 7 plots, using an octocopter-based unmanned aerial vehicle (UAV), mounted with a hyperspectral mapping system (450–950 nm, 9 nm FWHM). ...
The leaf economic spectrum (LES) describes a set of universal trade-offs between leaf mass per area (LMA), leaf nitrogen (N), leaf phosphorus (P) and leaf photosynthesis that influence patterns of primary ...
The UAV data was collected by Wageningen UR Unmanned Aerial Remote Sensing Facility (http://www.wageningenur.nl/uarsf). We thank the FORIG and Ankasa National Park for providing logistical support. ...
doi:10.3390/rs10101532
fatcat:5d5ri5dyl5d5dgu2fmdu3g6bhe
Tree Species Classification in a Highly Diverse Subtropical Forest Integrating UAV-Based Photogrammetric Point Cloud and Hyperspectral Data
2019
Remote Sensing
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This study investigated the use of UAV-acquired hyperspectral images and UAV-photogrammetric point cloud (PPC) for classification of 12 major tree species in a subtropical forest fragment in Southern Brazil ...
The use of remote sensing data for tree species classification in tropical forests is still a challenging task, due to their high floristic and spectral diversity. ...
Considerations about the UAV-Camera The use an UAV hyperspectral camera proved to be a cheap and fast way to acquire data for tree species classification in a highly diverse forest. ...
doi:10.3390/rs11111338
fatcat:gbuptijffvfbhlfjxistgjff44
Drones for Biodiversity Conservation and Ecological Monitoring
2019
Figshare
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Acknowledgments: We thank the Parrot Innovation Grant for the provision of the multispectral camera and the use of the Pix4D software. ...
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. ...
Agricultural and Forest Meteorology Estimating leaf carotenoid content in vineyards using high resolution hyperspectral imagery acquired from an unmanned aerial vehicle (UAV). Agric. For. ...
doi:10.6084/m9.figshare.11322092.v1
fatcat:lzjshsnscnb2pnnn6j4k5vfejy
A review of machine learning in processing remote sensing data for mineral exploration
[article]
2021
arXiv
pre-print
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2021 accepted arXiv:2103.07678v2 fatcat:e5rhbnim7rcizgfau5ajgidtvi
the field. ...
As a primary step in mineral exploration, a variety of features are mapped such as lithological units, alteration types, structures, and minerals. ...
tiparameter optimization for mineral mapping using hyperspectral imagery.
Jakob, S., Zimmermann, R., Gloaguen, R., 2017. ...
arXiv:2103.07678v1
fatcat:srlddi22grhofiwxw2qpetee7q
An overview of MATISSE-v2.0
2010
Optics in Atmospheric Propagation and Adaptive Systems XIII
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The symposium, like our other conferences and activities, would not be possible without the dedicated contribution of our participants and members. ...
Co-Sponsoring Organisations Delivered with the support of Scottish Enterprise Cooperating Organisations 3A ...
This gives us a background correlation that we use as reference to subtract from the spatial correlation in both image and far-field measurements. ...
doi:10.1117/12.868183
fatcat:5anlqspzzzcftfufaxvlr45zve
Knowledge Extracted from Copernicus Satellite Data
2019
Zenodo
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They need to be sufficiently diverse to cover the major target areas of satellite images under varying imaging conditions and across all seasons. ...
The proposed methodology uses new paradigms from Recurrent Neural Networks and Generative Adversarial Networks, supported by Bayesian and Information Bottleneck concepts. References 1. ...
The use of multi-or hyperspectral remote sensing data into soil monitoring and digital mapping can provide a large-scale survey, comprehensive and effective sites' monitoring and assess topsoil variables ...
doi:10.5281/zenodo.3941573
fatcat:zzifwgljifck5bpjnboetsftfu
Application of Remote Sensing Data for Locust Research and Management—A Review
2021
Insects
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Despite great advance and usage of available remote sensing resources, we identify several gaps and potential for future research to further improve the understanding and capacities of the use of remote ...
Additionally, unmanned aerial vehicle (UAV) systems bring up new prospects for a more effective and faster locust control. ...
The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. ...
doi:10.3390/insects12030233
pmid:33803360
pmcid:PMC8002081
fatcat:tktyeci7mndybncb6p36magumm
Measurement and Monitoring of the World's Forests: A Review and Summary of Remote Sensing Technical Capability, 2009–2015
[article]
2021
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This limit can seriously compromise efforts to map seasonal forests, especially in tropical areas, because of the difficulty in distinguishing leafless forests during dry seasons when most imagery is acquired ...
Some of the anticipated advances include: • hyperspectral satellites that produce imagery with great sensitivity across the electromagnetic spectrum, • improved revisit times from optical and SAR satellite ...
doi:10.13016/m2v7yd-cm12
fatcat:j4dt5fvs25dojfw7kzrk4bbjnu
GIS Mashups
[chapter]
2017
Encyclopedia of GIS
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Historical Background The underlying ideas behind GPs can be traced back to the geostatistics technique called kriging (Journel and Huijbregts 1992), named after the South African miner Danie Krige. ...
Sacks et al. (1989) described the use of kriging to model (deterministic) computer experiments. ...
emerging of mobile surveying technology such as UAV and mobile mapping system, the data collection for GIS is becoming more affordable. ...
doi:10.1007/978-3-319-17885-1_530
fatcat:rrr5buo3zrevpigdtjwhewipvm
Proceedings of the 10th International Conference on Ecological Informatics: translating ecological data into knowledge and decisions in a rapidly changing world: ICEI 2018
2019
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The Conference Proceedings are an impressive display of the current scope of Ecological Informatics. ...
The here presented ICEI 2018 abstracts captures well current trends and challenges of Ecological Informatics towards: • regional, continental and global sharing of ecological data, • thorough integration ...
Thus, the present study examines how spectrally relevant traits (those implemented in PROSAIL) are related to two established plant functional schemes, i.e. the leaf economic spectrum (LES) and CSR plant ...
doi:10.22032/dbt.38375
fatcat:qwx5h42r4zdibdhwjxtpcia6oe
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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At the local scale, innovative methods combining Unmanned Aerial Vehicles and multispectral sensors were used to map biomass and sward structure in coastal meadows. ...
This thesis explores and compares three different methods for assessing and mapping the supply of ecosystems services by semi-natural grasslands in Estonia: Expert-based assessments, proxy indicators and ...
Acknowledgements This study was financially supported by the European Regional Development Fund within the Estonian National Programme for Addressing Socio-Economic Challenges through R&D (RITA) (Estonia ...
doi:10.15159/emu.55
fatcat:zsocm6lfjbhbbbowj6hodqsmvy
Detection and Mapping of Terrestrial Oil Spill Impact Using Remote Sensing Data in Combination with Machine Learning Methods. A Case Site within the Niger Delta Region of Nigeria
2020
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Optical image spectral bands across the Visible, Near-Infrared and Shortwave-Infrared spectrum, various vegetation health indices (including NDVI, NDWI, LAI and SAVI) and SAR derived variables (including ...
The accuracies recorded were significantly better (P>0.05) than when the spill was classified using optical imagery only and when integrated optical and SAR image variables are classified. ...
In general, there is limited application of contemporary SAR imagery in the detection and mapping of oil-impacted vegetation within the tropical-mangrove ecosystem. ...
doi:10.25392/leicester.data.12640028
fatcat:wphuzsj7jvebxlvfy3lycozdpe
Proceedings of the 10th International Conference on Ecological Informatics: translating ecological data into knowledge and decisions in a rapidly changing world: ICEI 2018
2018
Preserved Fulltext
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The Conference Proceedings are an impressive display of the current scope of Ecological Informatics. ...
The here presented ICEI 2018 abstracts captures well current trends and challenges of Ecological Informatics towards: • regional, continental and global sharing of ecological data, • thorough integration ...
Thus, the present study examines how spectrally relevant traits (those implemented in PROSAIL) are related to two established plant functional schemes, i.e. the leaf economic spectrum (LES) and CSR plant ...
doi:10.22032/dbt.37846
fatcat:abpbnzmatncp7piugi3udxzcxu
Forest characterization by fusion of imaging spectroscopy and airborne laser scanning
2016
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By using a statistical feature selection approach, the most informative spectral bands were found to be in the visible and shortwave infrared region of the spectrum, which strongly enhanced species discriminability ...
Acknowledgements 145 14 Remote sensing based forest mapping Models of ecosystem functioning, which are used to determine inherent forests dynamics, require accurate, reliable and up-to-date information ...
Rudow, ETH Zurich, for his kindly helps during the forest inventory at the Laegeren site. Hossein Torabzadeh holds a fellowship of the Iranian Ministry of Science, Research and Technology. ...
doi:10.5167/uzh-152370
fatcat:bmg3byiha5fxzn27x3lozaphqa
Optimising the Impact of NRENs on Africa's Research
2020
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Optimising the Impact of NRENs on Africa's Research. ...
We are also indebted to the Research and Education Network for Uganda (RENU), the host of UbuntuNet-Connect 2016 and all the staff at the organisation for the effort put towards ensuring that the conference ...
Special mention should go to the CEO, Eng. Isaac Kasana and the technical staff for providing uninterrupted connectivity during the conference. ...
doi:10.20372/nadre/4657
fatcat:ihtmd2xltbhlne4cwkrcrts5pa
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