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:
- Quantitative Remote Sensing and Its Applications in Agriculture and Vegetation (Deadline: 15 September 2026)
- Deep Learning in Remote Sensing: Integrating Multi-Source Data for Precision Agriculture and Environmental Management (Deadline: 15 September 2026)
- Advanced AI and Machine Learning for Monitoring Vegetation Dynamics (Deadline: 30 September 2026)
- Proximal and Remote Sensing for Precision Crop Management (Third Edition) (Deadline: 30 September 2026)
- Microwave Remote Sensing for Soil Moisture and Vegetation Optical Depth Retrievals (Deadline: 30 September 2026)
- Advances in the Remote Sensing of Crop Phenology and Production Monitoring Under Environmental Constraints (Deadline: 30 September 2026)
- Remote Sensing Technologies in Precision Agriculture: From Ground Vehicles to Aerial and Handheld Platforms (Deadline: 30 September 2026)
- Mapping Essential Elements of Agricultural Land Using Remote Sensing (2nd Edition) (Deadline: 30 October 2026)
- Advances in UAV Remote Sensing for Crop Monitoring and Yield Prediction (Deadline: 31 October 2026)
- Advances in Hyperspectral Data Analysis for Vegetation and Soil Monitoring (Deadline: 31 October 2026)
- Remote Sensing and Geospatial Technologies for Sustainable Farming Practices (Deadline: 31 October 2026)
- Machine Learning for Applications in Agriculture and Vegetation Using Remote Sensing (Second Edition) (Deadline: 31 October 2026)
- Precision Agriculture and Crop Monitoring Based on Remote Sensing Methods (Second Edition) (Deadline: 31 October 2026)
- Remote Sensing for Precision Farming and Crop Phenology (Second Edition) (Deadline: 31 October 2026)
- Satellite-Based Remote Sensing for Land Cover and Land Use Mapping in Agriculture (Deadline: 30 November 2026)
- Advanced Remote Sensing Image Processing Techniques for Plant Disease Detection (Deadline: 30 November 2026)
- Crop Yield Estimation Based on Remote Sensing and Artificial Intelligence (Second Edition) (Deadline: 30 November 2026)
- Remote Sensing of Vegetation Structural and Biochemical Parameters: Retrieval, Measurement, Validation, and Application (Deadline: 30 November 2026)
- Vegetation Dynamics Monitoring Using Satellite Remote Sensing (Deadline: 30 November 2026)
- Land Cover Change Detection: Emerging Algorithms and Applications in Remote Sensing (Deadline: 30 November 2026)
- Remote Sensing in Soil Organic Carbon Dynamics (Deadline: 30 November 2026)
- Multisource Remote Sensing Data Fusion and Applications in Vegetation Monitoring (Second Edition) (Deadline: 30 November 2026)
- Crop Yield Prediction Using Remote Sensing Techniques (Deadline: 30 November 2026)
- Advances in Multi-Sensor Remote Sensing for Vegetation Monitoring (Deadline: 29 December 2026)
- Remote Sensing Observation Methods for Leaf Area Index (LAI) (Deadline: 30 December 2026)
- Automated Mapping and Monitoring of Soil Key Components and Functions Using Satellite Imagery and Artificial Intelligence Learning (Deadline: 31 December 2026)
- Multispectral Remote Sensing for Monitoring Agricultural Dynamics (Deadline: 31 December 2026)
- Multi-Source Remote Sensing and Foundation Models for Advanced Vegetation Mapping and Ecosystem Service Assessment (Deadline: 31 December 2026)
- Multi-Source Remote Sensing for Agricultural Water and Soil Management (Deadline: 31 December 2026)
- Advanced Remote Sensing Techniques in Agriculture and Artificial Intelligence (Deadline: 31 December 2026)
- Advanced Quantitative Remote Sensing for Sustainable Agriculture and Vegetation: From Multi-Sensor Fusion to AI-Driven Global Food Security (Deadline: 31 December 2026)
- Remote Sensing and AI for Agricultural Land Mapping, Monitoring, and Management (Deadline: 31 December 2026)
- Advances in Remote Sensing for Crop Monitoring and Food Security (Second Edition) (Deadline: 31 December 2026)
- Hydro-Geoinformatics and Advanced Remote Sensing Technologies for Sustainable Agriculture (Deadline: 31 December 2026)
- Remote Sensing for Vegetation Dynamic Monitoring, Carbon and Ecological Assessment (Deadline: 31 December 2026)
- Multi-Source Remote Sensing Data Fusion for Crop Yield Prediction Through AI and Agro-Hydrological Advances (Deadline: 31 December 2026)
- Advanced Remote Sensing for Next-Generation Smart Agriculture: Innovations, Integration, and Applications (Deadline: 14 January 2027)
- Advances in High-Resolution Crop Mapping at Large Spatial Scales (Deadline: 31 January 2027)
- Agrometeorology Remote Sensing: Monitoring, Forecasting and Assessment (Deadline: 31 January 2027)
- AI-Driven Remote Sensing Technologies for Precision Agriculture (Deadline: 31 January 2027)
- Remote Sensing Monitoring of Urban Vegetation (Deadline: 31 January 2027)
- Remote Sensing for Irrigation Monitoring and Agricultural Water Management (Deadline: 31 January 2027)
- AI-Enabled Precision Agriculture for Crop Monitoring and Yield Prediction Using Remote Sensing Technologies (Deadline: 10 February 2027)
- Hyperspectral Data Analysis of Vegetation and Soil Monitoring (Deadline: 15 February 2027)
- New Trends in Remote Sensing Multispectral Monitoring of Plant Phenotypic Characteristics (Deadline: 15 February 2027)
- Integrating UAV-Based and Multi-Source Remote Sensing with Artificial Intelligence for Better Crop Management (Deadline: 15 February 2027)
- Multi-Modal Remote Sensing and Data Assimilation for Crop Type Mapping, Growth, Phenology and Yield Estimation (Deadline: 15 February 2027)
- Advances in Remote Sensing for Smart Agriculture and Digital Twins (Deadline: 15 February 2027)
- Uncertainty Quantification and Propagation in Vegetation Earth Observation (Deadline: 28 February 2027)
- Remote Sensing and AI for Crop Monitoring, Yield Prediction and Food Security Assessment (Deadline: 28 February 2027)
- Integrating Remote Sensing and Machine Learning for Intelligent Crop Monitoring and Yield Mapping (Deadline: 28 February 2027)
- Remote Sensing of Leaf Trait, Canopy Structure, Ecosystem Function and Services (Deadline: 28 February 2027)
- Soil Moisture Retrieval and Drought Monitoring Based on Remote Sensing (Deadline: 31 March 2027)
- Next-Generation Agricultural Remote Sensing: Fusing Earth Observation, AI and Edge Systems Across Open and Greenhouse Environments (Deadline: 31 March 2027)
- Satellite-Based Radiative Transfer Modeling for Vegetation (Deadline: 31 March 2027)
- Fine-Scale Satellite Mapping of Smallholder and Fragmented Agricultural Landscapes (Deadline: 31 March 2027)
- Remote Sensing for Agricultural Water Management (RSAWM) (Third Edition) (Deadline: 31 March 2027)
- Advances in Remote Sensing for Plant Diseases and Pests Monitoring and Early Warning (Deadline: 15 April 2027)
- Remote Sensing for Plant Phenotyping and Precision Agriculture (Deadline: 20 April 2027)
- Intelligent Extraction of Phenotypic Traits in Agroforestry (2nd Edition) (Deadline: 30 April 2027)
Topical Collection
Following topical collection within this section is currently open for submissions:
