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 Observation Methods for Leaf Area Index (LAI) in Mountainous Regions (Deadline: 31 July 2025)
- Monitoring, Assessment, and Prediction of Agroecosystem Dynamics for Sustainable Agriculture: Applications of Photogrammetry, Remote Sensing, and Geographic Information Systems (Deadline: 31 July 2025)
- Utilization of Remote Sensing in Evaluating Crop Production Constraints (Deadline: 31 July 2025)
- State-of-the-Art in Land Cover Classification and Mapping (Deadline: 15 August 2025)
- Crop Biophysical Parameters Retrieval Using Remote Sensing Data (Second Edition) (Deadline: 15 August 2025)
- Quantitative Remote Sensing for Vegetation Phenology and Regional Landscape Patterns (Deadline: 15 August 2025)
- Monitoring Vegetation Response Based on Remote Sensing and Climate Data (Second Edition) (Deadline: 15 August 2025)
- Advances in the Application of Spaceborne and UAS-Borne Radar Remote Sensing (Deadline: 15 August 2025)
- Near Real-Time (NRT) Agriculture Monitoring (Deadline: 15 August 2025)
- Advances in Remote Sensing for Regional Soil Moisture Monitoring (Deadline: 15 August 2025)
- Advances in High-Resolution Crop Mapping at Large Spatial Scales (Deadline: 28 August 2025)
- Artificial Intelligence-Based Remote Sensing for Crop Information Extraction and Status Monitoring (Deadline: 29 August 2025)
- Remote Sensing in Soil Organic Carbon Dynamics (Deadline: 29 August 2025)
- Remote Sensing of Mountain and Plateau Vegetation (Second Edition) (Deadline: 30 August 2025)
- Crop Quantitative Monitoring with Remote Sensing II (Deadline: 31 August 2025)
- Vegetation Dynamics Revealed by Remote Sensing and Its Feedback to Regional and Global Climate (3rd Edition) (Deadline: 31 August 2025)
- Biomass Remote Sensing in Forest Landscapes II (Deadline: 15 September 2025)
- Remote and Proximal Sensing for Precision Agriculture and Viticulture(2nd Edition) (Deadline: 15 September 2025)
- Remote Sensing for Monitoring and Assessment of Hydrological and Water Quality Parameters (Deadline: 15 September 2025)
- Machine Learning in Global Change Ecology: Methods and Applications (Deadline: 15 September 2025)
- Quantitative Remote Sensing and Its Applications in Agriculture and Vegetation (Deadline: 15 September 2025)
- Remote Sensing Applications for Enhancing Wildfire Management and Ecosystem Multifunctionality (Deadline: 15 September 2025)
- High-Throughput Phenotyping in Plants Using Remote Sensing (Deadline: 25 September 2025)
- Remote Sensing in Viticulture II (Deadline: 28 September 2025)
- Advances in the Remote Sensing of Crop Phenology and Production Monitoring Under Environmental Constraints (Deadline: 30 September 2025)
- Enhancing Vegetation and Water Use Management Through Earth Observation (Deadline: 30 September 2025)
- Advances in Remote Sensing for Crop Monitoring and Food Security (Deadline: 30 September 2025)
- Remote Sensing Technologies in Precision Agriculture: From Ground Vehicles to Aerial and Handheld Platforms (Deadline: 30 September 2025)
- Advances in the Remote Sensing of Solar-Induced Chlorophyll Fluorescence for Vegetation Stress (Deadline: 28 October 2025)
- Recent Progress in GIS and Remote Sensing for Agriculture-Related Applications (Second Edition) (Deadline: 31 October 2025)
- Advances in UAV-Based Remote Sensing for Climate-Smart Agriculture (Deadline: 31 October 2025)
- Automated Mapping and Monitoring of Soil Key Components and Functions Using Satellite Imagery and Artificial Intelligence Learning (Deadline: 31 October 2025)
- Remote Sensing of Agricultural Water Resources (Deadline: 31 October 2025)
- Applications of Unmanned Aerial Remote Sensing in Precision Agriculture (Deadline: 10 November 2025)
- Precision Agriculture and Crop Monitoring Based on Remote Sensing Methods (Deadline: 14 November 2025)
- Evapotranspiration Model Based on Remote Sensing and Ground Station Observation Data and Its Application in Agriculture (Deadline: 15 November 2025)
- Novel Interpretations of Solar-Induced Chlorophyll Fluorescence and Photochemical Reflectance Using Remote Sensing (Deadline: 15 November 2025)
- Advances in Hyperspectral Data Analysis for Vegetation and Soil Monitoring (Deadline: 25 November 2025)
- Multisource Remote Sensing Data Fusion and Applications in Vegetation Monitoring (Second Edition) (Deadline: 28 November 2025)
- Radiative Transfer Modeling and Vegetation Traits Retrieved by Multispectral Remote Sensing (Deadline: 28 November 2025)
- Remote Sensing in Vegetation Phenology (Deadline: 28 November 2025)
- Investigating State-of-the-Art Machine Learning Approaches in Vegetation Analysis through Earth Observation Data (Deadline: 14 December 2025)
- Mapping and Monitoring of Agricultural Land Subtypes with Remote Sensing Technologies (Deadline: 15 December 2025)
- Remote Sensing of Soil Moisture and the Dynamics of Soil–Vegetation Systems (Deadline: 15 December 2025)
- Cropland and Yield Mapping with Multi-source Remote Sensing (Deadline: 20 December 2025)
- Advances in Multi-Sensor Remote Sensing for Vegetation Monitoring (Deadline: 29 December 2025)
- Remote Sensing and Machine Learning in Vegetation Biophysical Parameters Estimation (Second Edition) (Deadline: 30 December 2025)
- Remote Sensing for Soil Moisture and Vegetation Parameters Retrieval (Second Edition) (Deadline: 30 December 2025)
- New Perspectives in Plant Phenotyping: Satellite-Based Multispectral Remote Sensing (Deadline: 30 December 2025)
- Remote Sensing and Modelling of Terrestrial Ecosystems Functioning (Deadline: 30 December 2025)
- Ground, Proximal and Remote Sensing for Precision Agriculture Applications (Deadline: 31 December 2025)
- Perspectives of Remote Sensing for Precision Agriculture (Deadline: 31 December 2025)
- Advancements in Remote, Areal, and Proximal Soil Sensing: Innovations in Measurement and Spatial Modelling (Deadline: 31 December 2025)
- Remote Sensing for Agricultural Water Management (RSAWM) (Second Edition) (Deadline: 31 December 2025)
- Real-Time Agricultural Monitoring from Remotely Sensed Data (Second Edition) (Deadline: 31 December 2025)
- Vegetation Biophysical Variables and Remote Sensing Applications (Second Edition) (Deadline: 14 January 2026)
- Advanced Remote Sensing for Next-Generation Smart Agriculture: Innovations, Integration, and Applications (Deadline: 23 January 2026)
- Advances in Remote Sensing for Soil Property Mapping (Deadline: 30 January 2026)
- Plant Disease Detection and Recognition Using Remotely Sensed Data (Deadline: 31 January 2026)
- Crop Yield Prediction Using Remote Sensing Techniques (Deadline: 26 February 2026)
- Machine Learning for Applications in Agriculture and Vegetation Using Remote Sensing (Deadline: 28 February 2026)
- Applications of Multi-Scale Remote Sensing and Machine Learning to Study Agriculture and Agriculture Water Management (Deadline: 30 March 2026)
- Mapping Essential Elements of Agricultural Land Using Remote Sensing (2nd Edition) (Deadline: 31 March 2026)
Topical Collection
Following topical collection within this section is currently open for submissions:
