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 for Soil Moisture and Vegetation Parameters Retrieval (Deadline: 30 June 2023)
- Mathematical Modelling and Simulation Algorithms for Plant Growth (Above and Belowground) from Contactless Images (Deadline: 30 June 2023)
- Advances in the Remote Sensing of Terrestrial Evaporation II (Deadline: 30 June 2023)
- Remote Sensing in Precision Agriculture Production (Deadline: 30 June 2023)
- Remote Sensing and Machine Learning in Vegetation Biophysical Parameters Estimation (Deadline: 30 June 2023)
- Crop Quantitative Monitoring with Remote Sensing (Deadline: 30 June 2023)
- Aerial Remote Sensing System for Agriculture (Deadline: 30 June 2023)
- Climate Change Impact on Water and Soil Using Remote Sensing (Deadline: 30 June 2023)
- Remote Sensing of Burnt Area II (Deadline: 30 June 2023)
- The Novel Methods and Applications for High Throughput Crop Phenotyping (Deadline: 30 June 2023)
- Remote Sensing of Photosynthesis with Sun-Induced Chlorophyll Fluorescence and Photochemical Reflectance Index (Deadline: 1 July 2023)
- Monitoring, Early Warning, and Scientific Management of Vegetation Pests and Diseases (Deadline: 15 July 2023)
- Vegetation Biophysical Variables and Remote Sensing Applications (Deadline: 21 July 2023)
- Remote Sensing for Land Use and Vegetation Mapping (Deadline: 23 July 2023)
- Within-Season Agricultural Monitoring from Remotely Sensed Data (Deadline: 30 July 2023)
- Remote Sensing for Mapping Farmland and Agricultural Infrastructure (Deadline: 31 July 2023)
- Application of Hyperspectral Imagery in Precision Agriculture (Deadline: 31 July 2023)
- UAV for High-Resolution Salt Marsh Monitoring (Deadline: 31 July 2023)
- Proximal and Remote Sensing for Precision Crop Management II (Deadline: 31 July 2023)
- Crop Disease Detection Using Remote Sensing Image Analysis II (Deadline: 31 July 2023)
- Advances in Remote Sensing of Vegetation Traits Retrieval Based on Hyperspectral Data Analysis (Deadline: 31 July 2023)
- Remote Sensing for Irrigation and Water Management in Agriculture (Deadline: 31 July 2023)
- Seasonal Vegetation Index Changes: Cases and Solutions (Deadline: 15 August 2023)
- Deep and Machine Learning Applications in Remote Sensing Data to Monitor and Manage Crops Using Precision Agriculture Systems II (Deadline: 31 August 2023)
- State-of-the-Art in Land Cover Classification and Mapping (Deadline: 31 August 2023)
- Advancing Watershed Studies Using Unmanned Aircraft Systems (UAS) in a Changing Climate (Deadline: 31 August 2023)
- Synergy of UAV Imagery and Artificial Intelligence for Agriculture (Deadline: 31 August 2023)
- Satellite Image Processing and Object Recognition for Agriculture and Food Security Applications (Deadline: 31 August 2023)
- Assessing Primary Ecosystem Productivity Using Satellite and Drone Data (Deadline: 31 August 2023)
- Remote Sensing in Mountainous Vegetation (Deadline: 31 August 2023)
- Cropland Phenology Monitoring Based on Cloud-Computing Platforms (Deadline: 15 September 2023)
- Evapotranspiration Model Based on Remote Sensing and Ground Station Observation Data and Its Application in Agriculture (Deadline: 15 September 2023)
- Monitoring Vegetation Response Based on Remote Sensing and Climate Data (Deadline: 21 September 2023)
- Remote Sensing of Mountain and Plateau Vegetation (Deadline: 30 September 2023)
- Recent Advances of Remote Sensing in Monitoring Agro-Meteorological Disasters (Deadline: 30 September 2023)
- Remote Sensing for Crop Nutrients and Related Traits (Deadline: 30 September 2023)
- Remote Sensing for Climate-Smart Agriculture (Deadline: 30 September 2023)
- High-Throughput Phenotyping in Plants Using Remote Sensing (Deadline: 30 September 2023)
- Remote Sensing Monitoring of Snow and Vegetation in Alpine Regions (Deadline: 30 September 2023)
- Remote Sensing of Vegetation Function and Traits (Deadline: 30 September 2023)
- Near Real-Time (NRT) Agriculture Monitoring (Deadline: 30 September 2023)
- 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)
- Irrigation Mapping Using Satellite Remote Sensing II (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)
- Radar Remote Sensing for Monitoring Agricultural Management (Deadline: 15 December 2023)
- Exploring Patterns of Evolution from Cropland to Built-Up Land for Sustainable Food Production Using Remote Sensing (Deadline: 31 December 2023)
- Remote Sensing in Land Management (Deadline: 15 February 2024)
Topical Collection
Following topical collection within this section is currently open for submissions:
