Special Issue "Advancing Land Surface Phenological Analysis with High Spatial Resolution Imagery"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: 31 March 2022.
Interests: land surface phenology; time series remote sensing; computational remote sensing; large-scale agricultural and forest dynamic monitoring; invasive species and biodiversity
Interests: biomass burning emissions; burned area; fire seasonality; climate change; real-time monitoring; remote sensing.
Special Issues and Collections in MDPI journals
Special Issue in Atmosphere: Biomass Burning
Special Issue in Remote Sensing: Remote Sensing of Biomass Burning
Special Issue in Remote Sensing: Detecting, Mapping, and Characterizing Wildfires Using Remote Sensing Data
Interests: plant/vegetation phenology; bioclimatology; remote sensing
Interests: multi-sensor data fusion; radiometric harmonization; machine learning; precision agriculture; satellite-based retrieval of vegetation biophysical properties and functional traits; satellite-based water use and productivity estimation
Special Issues and Collections in MDPI journals
Land surface phenology (LSP) plays a crucial role in characterizing ecosystem structures and functions, and is an integrative indicator of terrestrial ecosystems in response to climatic and anthropogenic changes. LSP regulates terrestrial gross primary productivity, water-energy-carbon fluxes, and ecological processes, as well as providing critical information for detecting vegetation types and land cover/land use changes. Time series of earth observation data from coarse resolution sensors (e.g., AVHRR, SPOT VGT, and MODIS) set the stage for LSP operational monitoring at regional to global scales. Recently, a new generation of time series studies using high spatial resolution imagery (sub 100m) has opened up opportunities to advance our scientific understanding of patterns, trends, drivers, and consequences of LSP dynamics across diverse ecosystems in unparalleled detail. In particular, the harmonization of Landsat and Sentinel-2, together with the fusion of coarse resolution satellite imagery (e.g., MODIS and VIIRS), has been increasingly explored to improve LSP monitoring and modeling, especially at heterogeneous landscapes. Besides, the constellation of CubeSats (e.g., PlanetScope) imagery provides enhanced capabilities for land surface characterization. The near-surface remote sensing (e.g., drone, pheno-cam, and smartphone) has gained increasing popularity with its potential to connect satellite- and ground-based phenological measures, as well as to conduct more comprehensive phenological validation. The unprecedented wealth of information provided by higher temporal frequency, improved spatial resolution, and sheer data volume calls for innovative data analysis algorithms and monitoring strategies.
In this Special Issue, we are inviting submissions including, but not limited to, the following
- Novel approaches for high spatial resolution (sub 100m) LSP monitoring
- Characterize spatio-temporal patterns and trends of LSP at high spatial resolutions
- Multi-source data fusion for LSP characterization
- Improved understanding of mechanisms and drivers underlying LSP dynamics
- Multi-scale phenological monitoring from species to landscape levels
- LSP applications across ecosystems (e.g., forest, cropland, and grassland)
Dr. Chunyuan Diao
Dr. Xiaoyang Zhang
Dr. Liang Liang
Dr. Rasmus Houborg
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Land surface phenology
- Data fusion
- Near-surface remote sensing
- Phenology validation
- High spatial resolution
- Time series analysis