Ecological Remote Sensing
A section of Remote Sensing (ISSN 2072-4292).
Background and Aim
Remote sensing or Earth observation offers a unique set of measurement, mapping, monitoring, and modeling tools for use in:
(1) Fundamental ecological studies, examining structures, processes and relationships between living organisms and their physical environment and (2) their application in a wide range of government, community. and industry contexts, including, but not limited to conservation biology, resource management, agriculture/grazing/horticulture/aquaculture, and forestry, in terrestrial–aquatic–atmospheric and marine ecosystems.
Remote sensing data sets and analysis techniques provide scale-specific approaches, in spatial and temporal contexts, for measurement and monitoring ecosystems at the individual, population, community, ecosystems, and biosphere levels.
Ecological remote sensing needs to be supported by robust works that link field and process-based measurements and understanding to satellite, airborne, and drone image data sets, to develop and validate algorithms and applications for use across academic, government, community, and industry sectors. These applications are inherently multidisciplinary and require effective collaborations.
The aim of the Section Ecological Remote Sensing of Remote Sensing is to provide a fast and robust reviewing process on new ideas involving the use of remote sensing for ecological studies. This Section of the Remote Sensing journal will build the knowledge, applications, and capacity base for advancing our global ecological remote sensing capabilities in a robust, diverse, and equitable manner by encouraging and supporting works that explicitly link field and remote sensing data sets and expertise across the range of disciplines that contribute to ecology.
Examples of the primary ecological remote sensing challenges this section will address include (i) measuring and monitoring ecological structures and processes from plant to global scales, (ii) monitoring the impacts of environmental management practices on ecological structures and processes, (iii) separating anthropogenic impacts from natural environment variability, (iv) assessing error and communication effectively for ecological remote sensing application, and (v) linking indigenous ecological understanding with Earth observations.
Following special issues within this section are currently open for submissions:
- Remote Sensing for Coastal and Aquatic Ecosystems’ Monitoring and Biodiversity Management (Deadline: 1 November 2021)
- Geostatistics and Spatial Data Mining for Ecological Climatology (Deadline: 15 November 2021)
- Remote Sensing of Riparian Ecosystems (Deadline: 26 November 2021)
- Feature Paper Special Issue on Ecological Remote Sensing (Deadline: 31 December 2021)
- New Trends and Remote Sensing Perspectives in Land Use, Land-Use Change and Forestry (LULUCF) (Deadline: 31 December 2021)
- Remote Sensing of Ecosystem Diversity (Deadline: 31 December 2021)
- Remote Sensing Applied to Marine Species Distribution (Deadline: 15 January 2022)
- Landscape Ecology in Remote Sensing (Deadline: 31 January 2022)
- Remote Sensing of Ecosystems in Cold Regions (Deadline: 31 January 2022)
- Remote Sensing of Lake Ecology (Deadline: 2 February 2022)
- Remote Sensing of Eco-Hydrology Processes Under Ongoing Climate Change (Deadline: 15 February 2022)
- Remote Sensing of Ecosystems (Deadline: 28 February 2022)
- Tracking Biological Invasions in Rapidly Changing Environments (Deadline: 28 February 2022)
- Application of Machine Learning in Marine Ecology (Deadline: 31 March 2022)
- Land Degradation Assessment with Earth Observation II (Deadline: 20 April 2022)
- Monitoring Bird Movements by Remote Sensing (Deadline: 30 April 2022)
- Adding the Third Dimension to Biodiversity Mapping (Deadline: 31 May 2022)