Land Surface Phenology
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Agriculture and Vegetation".
Deadline for manuscript submissions: closed (30 September 2019) | Viewed by 149525
Special Issue Editors
Interests: land surface phenology; earth observation; biophysical variables; agriculture
Special Issues, Collections and Topics in MDPI journals
Interests: satellite imagery; phenology; canopy evaporation; atmospheric carbon dioxide
Special Issue Information
Dear Colleagues,
Land surface phenology refers to the type of products that seek to quantify and summarize the dynamics of the vegetated land surface at temporal scales from annual to seasonal. A common example would be the nominal starting and ending dates for growing seasons, estimated from time series of the normalized difference vegetation index. Over the last decade, there has been significant advances in data availability, image analysis and processing techniques that resulted in accurate characterization of Land Surface Phenology (LSP), from local to global scales. LSP information from satellites is a key variable to demonstrate the response of terrestrial ecosystem to climatic and anthropogenic changes. Moreover, LSP information is increasingly used to distinguish vegetation type and measure crop productivity. The recent launch of new satellite sensors, such as the Sentinel series, can provide the opportunity for improved characterization of LSP and may develop applications that were not possible with available datasets. Despite this, its validation with ground measurements is still challenging due to miss-match in both spatial and temporal scales between the two measurements, distribution of ground measurements and spatial heterogeneity of vegetation types in a satellite sensor pixel.
In this Special Issue, we are inviting submission including, but not limited to,
- Development of new or refined LSP products
- Development and/or production of high resolution (~30 m) LSP products
- Multi-sensor data integration for LSP estimation, particularly integration across optical-IR, microwave, and radar data.
- Characterization of LSP at local to global scales to understand spatial temporal trends and their drivers.
- Validation of LSP using range of in situ data, including observations, citizen science, and phenology cameras.
- Inter comparison of LSP from different sensors and products
- Application of LSP information
- LSP for identification of land use/land cover, changes in land use/land cover, and detection of invasive species.
Prof. Jadu Dash
Dr. Matthew Jones
Dr. Victor Rodriguez-Galiano
Guest Editors
Manuscript Submission Information
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Keywords
- Land Surface Phenology
- Phenometrics
- Optical-infrared, microwave, radar
- Phenology Validation
- Data Integration
- Vegetation Index
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