Special Issue "Remote Sensing and its Application in Ecosystems"
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".
Deadline for manuscript submissions: closed (31 December 2019) | Viewed by 8955
Special Issue Editors

Interests: remote sensing; plant phenotyping; agricultural informatics; environmental plant science; global environmental science
Special Issues, Collections and Topics in MDPI journals

Interests: remote sending of forest health and productivity; forest disturbance; landscape dynamics; drought and evapotranspiration; optical-thermal remote sensing
Special Issues, Collections and Topics in MDPI journals

Interests: vegetation remote sensing; biophysical parameter retrieval; multi-angle reflectance; polarized remote sensing; hyperspectral remote sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear colleagues,
Nowadays, a variety of remote sensors have been launched to study ecosystems from space. Thanks to their broad spatial extent and high temporal resolution, remote sensing can facilitate research related to identifying the biophysical characteristics of habitats, predicting the species distribution and spatial variability in species richness, and detecting natural and human-caused change at scales ranging from individual landscapes to regions or the entire world, and over time. Consequently, remote sensing and its applications are important for ecosystem monitoring, service and management.
The Special Issue “Remote sensing and its application in ecosystems” encourages discussion concerning innovative techniques/approaches that are based on remote sensing data, which are used for applications in ecosystems at different spatial and temporal scales.
Prof. Dr. Kenji Omasa
Dr. Parinaz Rahimzadeh
Prof. Dr. Shan Lu
Guest Editors
Manuscript Submission Information
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Keywords
- biodiversity monitoring by remote sensing
- ecological processes
- ecological function
- environmental change
- GIS
- remote sensing
- satellite imagery time series
- species distribution and diversity modelling
- disturbance
- vegetation health