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From imagery to ecology: leveraging time series of all available Landsat observations to map and monitor ecosystem state and dynamics
- Source :
- Remote Sensing in Ecology and Conservation. 2:152-170
- Publication Year :
- 2016
- Publisher :
- Wiley, 2016.
-
Abstract
- With over 30 years of directly comparable Landsat satellite observations now freely available, and new imagery being added to the Landsat archive every day, Landsat time series analysis affords novel opportunities for ecosystem mapping, environmental monitoring and comparative ecology. This study presents a series of data-driven examples that illustrate the potential of using Landsat time series to further the study of land cover characterization, vegetation phenology and landscape dynamics. Our goal is to showcase how ecosystem properties and dynamics manifest in the Landsat data record, laying the foundation for better integration of remote sensing and ecology using Landsat time series. Our results suggest that time series provide valuable information on ecosystem cover, use and condition that could advance understanding of ecosystem function, resilience and dynamics. We have only just begun to understand how to use the complete record of Landsat observations for the study of ecology, and we hope this work will encourage future studies on quantifying and analyzing relationships between time series data, ecosystems and ecological processes.
- Subjects :
- 010504 meteorology & atmospheric sciences
Ecology
Ecology (disciplines)
0211 other engineering and technologies
02 engineering and technology
Land cover
01 natural sciences
Remote sensing (archaeology)
Environmental monitoring
Environmental science
Satellite
Ecosystem
Computers in Earth Sciences
Time series
Resilience (network)
Ecology, Evolution, Behavior and Systematics
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Nature and Landscape Conservation
Remote sensing
Subjects
Details
- ISSN :
- 20563485
- Volume :
- 2
- Database :
- OpenAIRE
- Journal :
- Remote Sensing in Ecology and Conservation
- Accession number :
- edsair.doi...........138884a28b9808b6f31fa864bb043ae2
- Full Text :
- https://doi.org/10.1002/rse2.24