Journal of Sensors

Remote Sensing of Sustainable Ecosystems


Status
Published

Lead Editor

1Eastern Michigan University, Ypsilanti, USA

2Wuhan University, Wuhan, China

3Florida State University, Tallahassee, USA


Remote Sensing of Sustainable Ecosystems

Description

Ecosystems are communities of biotic elements that continually interact with each other and with their abiotic environment to create complex systems with various emergent properties. There are various ecosystems that consist of combined forms of complex ecological or coupled human-natural units. Those ecosystems may include agroecosystem, atmosphere ecosystem, forest ecosystem, grassland ecosystem, marine (aquatic) ecosystem, and urban ecosystem.

Though different elements in each ecosystem may be investigated separately; it is now agreed by both researchers and practitioners that only overall sustainable development of an ecosystem can provide satisfactory and multiple ecosystem functions in the long run. One key milestone for attaining sustainable ecosystems is through advanced geospatial data acquisition and processing of all related elements contained in those ecosystems and by applying intelligent computational models that can measure those elements and explain their interactions in efficient ways. The latest advancements in remote sensor systems and computer technology have made it possible to collect ecological and geospatial data quickly and routinely. In particular, the increasing volumes of available multispectral and hyperspectral data from unmanned aerial vehicle (UAV) and airborne and satellite sensors such as Hyperspec-VNIR, AVIRIS, and Hyperion provide rich information for a wide range of ecological applications. These big data sets from RS are essential for understanding the science behind ecosystem function and thus provide critical insight on how ecosystems are sustained. It all leads to a situation where ecosystems can now be investigated in more systematic approaches by using advanced geospatial technologies.

This special issue will bring together research on various methods for spatial observation (using on-site or moving sensors, RS, or/and spatial navigation systems) for acquiring information on key ecosystem elements, and innovative data assimilation strategies to improve our understanding of the interactions of those elements within or between ecosystems. Based on acquired RS dataset, ecological models for simulating or quantitatively analyzing their interactions are encouraged. Potential papers should focus on the design of systematic data acquisition frames, and the approaches for obtaining and processing ecosystem related datasets. Above all, “sustainability” is key for measuring ecosystems, and thus submitted papers are welcome to suggest decision making measures or public policies to counteract ecosystem degradation and promote healthier ecosystems.

Potential topics include but are not limited to the following:

  • Explore the resolutions of sensors, in particular their spectral, spatial, and temporal resolutions that are most appropriate for measuring ecosystem sustainability
  • Data fusion and assimilation models of remotely sensed imagery from various sensors to support ecosystem studies
  • Applications of earth observation sensors designed for sustainable ecosystems
  • Spatial modeling, spatial data mining, and big-data analytics of big imagery data sets from various sensors

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 9683415
  • - Editorial

Remote Sensing of Sustainable Ecosystems

Yichun Xie | Zongyao Sha | Victor Mesev
  • Special Issue
  • - Volume 2018
  • - Article ID 6026259
  • - Research Article

Machine Learning for Estimating Leaf Dust Retention Based on Hyperspectral Measurements

Wenlong Jing | Xia Zhou | ... | Hao Jiang
  • Special Issue
  • - Volume 2018
  • - Article ID 2075057
  • - Research Article

Spark Sensing: A Cloud Computing Framework to Unfold Processing Efficiencies for Large and Multiscale Remotely Sensed Data, with Examples on Landsat 8 and MODIS Data

Hai Lan | Xinshi Zheng | Paul M. Torrens
  • Special Issue
  • - Volume 2018
  • - Article ID 7147524
  • - Research Article

Weighted Voronoi Diagram-Based Simulation and Comparative Analysis of Ecosystem Service Coverage: Case Study of the Zhongyuan Urban Agglomeration

Pengyan Zhang | Wenlong Jing | Yunzeng Chen
  • Special Issue
  • - Volume 2018
  • - Article ID 6869807
  • - Research Article

Detection of Firmiana danxiaensis Canopies by a Customized Imaging System Mounted on an UAV Platform

Chun Liu | Mengchi Ai | ... | Hangbin Wu
  • Special Issue
  • - Volume 2018
  • - Article ID 7341973
  • - Research Article

A Research on the Combination Strategies of Multiple Features for Hyperspectral Remote Sensing Image Classification

Yuntao Ma | Ruren Li | ... | Jingli Wang
  • Special Issue
  • - Volume 2018
  • - Article ID 8642708
  • - Research Article

Error Compensation Technique for a Resistance-Type Differential Pressure Flow Sensor

Guimei Wang | Tao Chu | ... | Fang Sun
Journal of Sensors
 Journal metrics
Acceptance rate30%
Submission to final decision78 days
Acceptance to publication38 days
CiteScore3.900
Impact Factor1.595
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