This special issue aims to cover topics of interest including time series analysis algorithms, fusion of multisource time series data, time series applications, preprocessing and calibration of time series data, and also validation for time series products.
Submission deadline: June 30, 2023
There is a growing need for useful, unique, and complete open data to support economic, environmental, and societal advancements. This special issue invites manuscripts demonstrating state-of-the-art data products relevant to large-scale studies with the use of Earth Observations, particularly at global and regional scales.
Submission deadline: September 15, 2023
This special issue aims to compile the latest developments in research on the fusion of multi-source remote sensing data. We welcome contributions from academic papers developing spatiotemporal fusion algorithms and their use in ecology, agriculture, and other domains.
Submission deadline: December 31, 2023
This special issue aims to exchange the latest research results of wetland remote sensing theory, wetland classification, wetland conservation, and wetland management in the contexts of social and economic development and global change.
Submission deadline: March 1, 2024
This special issue aims to synthesize state-of-the-art developments of new remote sensing instruments and retrieval algorithms for aerosols, clouds, and trace gases. It also welcomes research on data fusion and synergistic application of atmospheric composition observations. Review articles on instrumentation, algorithm development and multi-sensor data synergy are also encouraged.
Submission deadline: April 1, 2024
This special issue aims to provide an outlet for studies that, in any way, advance disaster monitoring and mitigation through the leverage of Big Earth Data. Review articles on disaster-related usage of Big Earth Data are especially encouraged.
Submission deadline: April 30, 2024
This special issue is devoted to the publication of survey articles and research papers on new data-driven methods, algorithms, and architectures of deep learning for remote sensing, especially the work that addresses the field's challenges.
This special issue aims to publish results related to the RAMI-V phase. It is open to scientists who directly participate in RAMI-V, but also to those who use RAMI-I to RAMI-V vegetation canopies to model various RS data in other spectral and research domains, including (but not limited to) thermal infrared RS, terrestrial and airborne LiDAR or solar-induced chlorophyll fluorescence observations.
This special issue will provide an outlet for state-of-the-art GEE applications for benefit of the environment and human society at various spatial and temporal scales, as well as prospects for future development.
This special issue solicits manuscripts describing current progress related to China's advanced satellite remote sensing payloads for earth and planetary observations and applications in space science, such as environment, meteorology, ocean, resources, surveying, and mapping.
Please see the journal's peer review process page for more information on how special issue submissions are handled.