Special Issue "Monitoring of Land Changes"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (31 May 2016)
Prof. Dr. Petri Pellikka
Prof. Lars Eklundh
Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, 223 62 Lund, Sweden
Website | E-Mail
Interests: remote sensing methodology for carbon balance estimation; monitoring of African drylands; spectral measurements for calibration/validation; satellite time series analysis for seasonality information and smoothing of remotely sensed data; forest disturbances research using remotely sensed data
Humankind has changed the land cover throughout its existence by different land uses, but also by contributing to climate variations around the world. Remote sensing is the most cost-efficient method to monitor land cover and land uses changes, as well as impacts of climate change, which may be identified as glacier changes, changes in vegetation phenology or advance of new plant species to higher latitudes or elevations, for example. In addition to “traditional” satellite imagery to cover large areas we can also use advanced hyperspectral remote sensing data or laser scanning data for land change studies.
Fairly long time-series of Earth Observation data already exist for the whole area of the Earth. These time-series data make up an invaluable source of information for better understanding and management of our environment. It is a challenge and a critical need to understand the methods for extracting useful information from the data, as well as to interpret the time-series signals correctly. We need to be able to interpret both slow variations due to gradual ecosystem transformations, and faster variations due to disturbances or other rapid events. Methods based on remote sensing theory, process modelling, and statistical data analysis will help developing this understanding.
This Special Issue aims to review and synthesize the latest progress in land change monitoring using various remote sensing data types for various purposes. Prospective authors are invited to contribute to this Special Issue of Remote Sensing by submitting an original manuscript. Contributions may focus on, but are not limited to:
- Theoretical aspects of remote sensing of land change (land use/land cover)
- Methodological aspects in data processing
- Phenological studies of vegetation and agricultural areas
- Use of satellite imagery time series
- Long-term and short-term variations
- Land change monitoring in agriculture, forestry, grassland management
- Linking land change to climate change
- Urban studies
- Cryospheric land cover monitoring (water, snow, sea ice, glaciers)
Prof. Petri Pellikka
Prof. Lars Eklundh
Manuscript Submission Information
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