editorial remote sensing of sustainable ecosystems
TRANSCRIPT
EditorialRemote Sensing of Sustainable Ecosystems
Yichun Xie ,1 Zongyao Sha ,2 and Victor Mesev 3
1Institute for Geospatial Research & Education, Eastern Michigan University, Ypsilanti, USA2School of Remote Sensing & Information Engineering, Wuhan University, Wuhan, China3Department of Geography, Florida State University, Tallahassee, USA
Correspondence should be addressed to Yichun Xie; [email protected]
Received 21 October 2018; Accepted 22 October 2018; Published 13 November 2018
Copyright © 2018 Yichun Xie et al. This is an open access article distributed under the Creative Commons Attribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
1. Introduction
Ecosystems, containing biotic and abiotic elements, arecomplex communities that impact all aspects of the envi-ronment. Their equilibrium and sustainability are para-mount to their functionality, health, and survival. Remotesensing and other advanced geospatial data acquisitionand processing techniques are critical for the measurementof sustainable ecosystems. This special issue includes thelatest advancements in remote sensor systems and com-puting platforms that have made it possible to collect dataon ecosystems quickly and routinely. In particular, there isan increasing volume of multispectral and hyperspectral datafrom unmanned aerial vehicles (UAV), airborne and satellitesensors. They provide rich information for mapping, moni-toring, and analyzing a wide range of ecological applications.Big datasets from various remotely sensed platforms areessential for understanding the science behind ecosystemfunctions and thus provide critical insights on how ecosys-tems are sustainable.
2. Remote Sensing of Sustainable Ecosystems
This special issue was proposed as a follow-up to GSES(Geoinformatics in Sustainable Ecosystem and Society) con-ference at Wuhan University, China, in September 2017. Theforum covered diverse topics centering on advances in earthobservation, geospatial analysis, and technologies and theirapplications in natural resource management and sustainablesociety. We received 18 papers submitted to this special issue,6 of which were accepted and published after peer review
(one-third acceptance rate). What binds the papers arethemes for spatial observation (using ground-based in-situsensors or moving sensors) for acquiring information onkey ecosystem elements and innovative data assimilationstrategies to improve our understanding of the interactionsof those elements within or between ecosystems. The 6accepted papers focus on the design of systematic dataacquisition frames, the approaches for processing andextracting ecosystem-related datasets, and the models forunderstanding the science behind some ecosystems. Insummary, the topics illustrated by the published papersinclude the following:
(i) Advanced image processing and geostatistical tech-niques for analyzing and classifying hyperspectraldata
(ii) Calibrating unmanned aerial vehicles using hyper-spectral and digital surface models
(iii) Accessing unlimited cloud computing resources forstoring and transforming multisource data
(iv) Big data analytics based on spatial modeling andmachine learning to understand the science for pro-moting sustainable ecosystem services
(v) Measuring leaf dust retention across visible andinfrared wavelengths
(vi) Application of Voronoi diagrams for simulation
(vii) Mapping rare and protected ecosystem servicecapacities more accurately
HindawiJournal of SensorsVolume 2018, Article ID 9683415, 2 pageshttps://doi.org/10.1155/2018/9683415
Conflicts of Interest
Based on my best knowledge, I and my co-guest editors ofthis special issue have no conflict of interest.
Acknowledgments
We would like to thank all the authors for their valuable con-tributions in this special issue as well as all the reviewerswhose constructive suggestions helped to improve the qualityof the papers and the publication of this special issue. We alsothank Wuhan University, China, and Eastern MichiganUniversity, USA, for co-organizing the International Con-ference on Geoinformatics in Sustainable Ecosystem andSociety (GSES-2017) which provided the source for mostof the submitted papers to this special issue.
Yichun XieZongyao ShaVictor Mesev
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