Within-Season Agricultural Monitoring from Remotely Sensed Data

Dear Colleagues,

Remote sensing data have been successfully used to investigate various agricultural activities, such as crop type mapping, crop phenology detection, soil moisture assessment, and crop growth monitoring. From a practical point of view, agricultural management requires timely and accurate crop and soil information provided by remote sensing data within the crop-growing season (within-season). For example, it is preferable to acquire the spatial distribution of crop types in an earlier manner, which benefits timely crop management, protection, and yield forecast. However, current agricultural monitoring from remotely sensed data is often conducted after the crop-growing season. Within-season agricultural monitoring is still impeded by limitations in remote sensing data quality, monitoring algorithms, and computing platforms.

In this context, a Special Issue entitled “Within-Season Agricultural Monitoring from Remotely Sensed Data” is being planned in Remote Sensing journal. We welcome all research or review articles on agricultural monitoring as long as they focus on work carried out during the crop-growing season. In addition, methodology papers on processing within-season remote sensing data (e.g., time-series data) are also welcome. This issue has a broad range of topics, including crop monitoring (e.g., crop type classification, crop phenology detection, crop phenotyping, crop yield prediction) and agricultural condition investigations (e.g., agricultural drought, biotic/abiotic stresses). It should be noted that remotely sensed data from satellites, drones, or field instruments should be among the main data sources.

We look forward to receiving your contributions.

Dr. Ruyin Cao
Prof. Dr. Tao Cheng
Prof. Dr. Ran Meng
Dr. Andrej Halabuk
Dr. Clement E. Akumu
Guest Editors

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