Remote Sensing in Agriculture and Vegetation
A section of Remote Sensing (ISSN 2072-4292).
Section Information
For a global to local monitoring of agriculture and/or vegetation conditions, a wide range of passive and active sensors are deployed on many different satellites and other platforms. The delivered data volumes are usually huge and cover various parts of the electromagnetic spectrum. The information contained in those datasets can only be retrieved to its full extent using advanced image and signal processing techniques. In this section we therefore cover all agriculture/vegetation related research such as crop type identification, land cover and land use mapping, change detection, identification of pest and diseases, crop stress and droughts, yield forecasts and phenotyping to name only a few applications. From a methodological point of view, we encourage the publication of both empirical (regression and classification) approaches and physical based methods such as the inversion of radiative transfer models for the retrieval of vegetation bio-physical variables.
We invite authors to submit their articles to Remote Sensing to further improve and consolidate current knowledge in the field of vegetation/agriculture related Earth Observation. Manuscripts addressing theories and applications are equally welcome. We urge authors to take utmost care not only in preparing the manuscript, but equally in providing well designed graphs and maps.
Editorial Board
Topical Advisory Panel
Special Issues
Following special issues within this section are currently open for submissions:
- Remote Sensing Technologies, Crop Yield, Soil and Weather Data Integration in Digital Agriculture (Deadline: 13 October 2023)
- Crop Growth Monitoring Using Remote Sensing: Progress, Challenges and Opportunities II (Deadline: 20 October 2023)
- Spectral Imaging Technology for Crop Disease Detection (Deadline: 31 October 2023)
- Remote Sensing in Viticulture II (Deadline: 31 October 2023)
- Remote Sensing of Primary Production (Deadline: 31 October 2023)
- Crops and Vegetation Monitoring with Remote/Proximal Sensing II (Deadline: 31 October 2023)
- Agricultural Applications Using Hyperspectral Data (Deadline: 31 October 2023)
- Machine Learning in Global Change Ecology: Methods and Applications (Deadline: 31 October 2023)
- Vegetation Dynamics Revealed by Remote Sensing and Its Feedback to Regional and Global Climate Ⅱ (Deadline: 31 October 2023)
- Remote Sensing of Soil Moisture and the Dynamics of Soil–Vegetation Systems (Deadline: 31 October 2023)
- Remote Sensing for Precision Farming and Crop Phenology (Deadline: 15 November 2023)
- High-Throughput Crop Phenotyping Using Unmanned Aerial Vehicle Imagery (Deadline: 30 November 2023)
- Advances in Remote Sensing for Regional Soil Moisture Monitoring (Deadline: 30 November 2023)
- UAS Technology and Applications in Precision Agriculture (Deadline: 30 November 2023)
- Phenotyping Technologies for Resistance Screening, Crop Breeding and Precision Agriculture (Deadline: 1 December 2023)
- Radar Remote Sensing for Monitoring Agricultural Management (Deadline: 15 December 2023)
- Advances in the Applications of Machine Learning and Remote Sensing (Deadline: 20 December 2023)
- Remote Sensing for Soil Moisture and Vegetation Parameters Retrieval (Deadline: 29 December 2023)
- Remote Sensing in Precision Agriculture Production (Deadline: 31 December 2023)
- Satellite-Based Climate Change and Sustainability Studies (Deadline: 31 December 2023)
- Advances in Leaf Area Index Estimation: Methods, Products, and Applications (Deadline: 31 December 2023)
- Remote Sensing and Modelling of Terrestrial Ecosystems Functioning (Deadline: 31 December 2023)
- Exploring Patterns of Evolution from Cropland to Built-Up Land for Sustainable Food Production Using Remote Sensing (Deadline: 31 December 2023)
- Recent Applications of Convolutional Neural Networks (CNNs) in Vegetation Remote Sensing (Deadline: 1 January 2024)
- Application of Satellite and UAV Data in Precision Agriculture (Deadline: 1 January 2024)
- Aerial Remote Sensing System for Agriculture (Deadline: 15 January 2024)
- UAV Agricultural Management: Recent Advances and Future Prospects (Deadline: 19 January 2024)
- New Insights in Crop Monitoring and Management Using Remote Sensing Data (Deadline: 19 January 2024)
- Proximal and Remote Sensing for Precision Crop Management II (Deadline: 20 January 2024)
- Advances in Remote Sensing of Vegetation Traits Retrieval Based on Hyperspectral Data Analysis (Deadline: 20 January 2024)
- Within-Season Agricultural Monitoring from Remotely Sensed Data (Deadline: 31 January 2024)
- Seasonal Vegetation Index Changes: Cases and Solutions (Deadline: 31 January 2024)
- Biomass Remote Sensing in Forest Landscapes II (Deadline: 31 January 2024)
- Crop Quantitative Monitoring with Remote Sensing II (Deadline: 31 January 2024)
- Advances in Remote Sensing and GIS for Agricultural Disaster Monitoring and Management (Deadline: 31 January 2024)
- Remote Sensing of Burnt Area II (Deadline: 31 January 2024)
- Synergy of UAV Imagery and Artificial Intelligence for Agriculture (Deadline: 1 February 2024)
- Remote Sensing in Land Management (Deadline: 15 February 2024)
- Monitoring Vegetation Response Based on Remote Sensing and Climate Data (Deadline: 20 February 2024)
- Remote Sensing Monitoring of Snow and Vegetation in Alpine Regions (Deadline: 20 February 2024)
- Irrigation Mapping Using Satellite Remote Sensing II (Deadline: 20 February 2024)
- Satellite Image Processing and Object Recognition for Agriculture and Food Security Applications (Deadline: 20 February 2024)
- Machine Learning and High-Throughput Phenotyping in Precision Agriculture (Deadline: 20 February 2024)
- Evapotranspiration Model Based on Remote Sensing and Ground Station Observation Data and Its Application in Agriculture (Deadline: 20 February 2024)
- Cropland Phenology Monitoring Based on Cloud-Computing Platforms (Deadline: 29 February 2024)
- Remote and Proximal Sensing for Precision Agriculture and Viticulture II (Deadline: 29 February 2024)
- Crop Disease Detection Using Remote Sensing Image Analysis II (Deadline: 29 February 2024)
- Assessing Primary Ecosystem Productivity Using Satellite and Drone Data (Deadline: 15 March 2024)
- Perspectives of Remote Sensing for Precision Agriculture (Deadline: 31 March 2024)
- Remote Sensing for Monitoring and Assessment of Hydrological and Water Quality Parameters (Deadline: 15 April 2024)
- Novel Interpretations of Solar-Induced Chlorophyll Fluorescence and Photochemical Reflectance Using Remote Sensing (Deadline: 15 May 2024)
Topical Collection
Following topical collection within this section is currently open for submissions:
