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:
- Smart Farming and Land Management Enabled by Remotely Sensed Big Data (Deadline: 16 July 2022)
- Remote Sensing for Crop Stress Monitoring and Yield Prediction (Deadline: 30 July 2022)
- Remote Sensing Interpretation Systematic Engineering for Natural Resources Monitoring and Management (Deadline: 31 July 2022)
- Vegetation Biophysical Variables and Remote Sensing Applications (Deadline: 31 July 2022)
- 3D Modelling and Mapping for Precision Agriculture (Deadline: 15 August 2022)
- Novel Approaches for Multiscale Observation of Ecological Processes (Deadline: 28 August 2022)
- Correlation between NDVI and Crop Production (Deadline: 31 August 2022)
- Remote Sensing-Based Evapotranspiration Models (Deadline: 31 August 2022)
- Remote Sensing of Vegetation Function and Traits (Deadline: 1 September 2022)
- Remote Sensing Applications in Vegetation Classification (Deadline: 15 September 2022)
- Monitoring Climate Impacts on Agriculture Using Remote Sensing Techniques (Deadline: 15 September 2022)
- Advances in Leaf Area Index Estimation: Methods, Products, and Applications (Deadline: 30 September 2022)
- Impacts of Climate Change and Weather Variability on Agricultural Production Observed by Remote-Sensing Techniques (Deadline: 30 September 2022)
- Progresses in Agro-Geoinformatics (Deadline: 15 October 2022)
- The Novel Methods and Applications for High Throughput Crop Phenotyping (Deadline: 15 October 2022)
- Phenotyping Technologies for Resistance Screening, Crop Breeding and Precision Agriculture (Deadline: 23 October 2022)
- Remote Sensing for Agricultural Water Management (RSAWM) (Deadline: 31 October 2022)
- Spectral Imaging Technology for Crop Disease Detection (Deadline: 31 October 2022)
- Crop Biophysical Parameters Retrieval Using Remote Sensing Data (Deadline: 31 October 2022)
- State-of-the-Art in Vegetation Classification and Mapping (Deadline: 31 October 2022)
- Remote Sensing for Vegetation Mapping and Its Application in Carbon Budget (Deadline: 6 November 2022)
- Impacts of Climate Change on Agriculture (Deadline: 15 November 2022)
- Estimation of Crop Coefficients and Evapotranspiration through Remote Sensing (Deadline: 15 November 2022)
- Remote Sensing for Soil Mapping and Monitoring (Deadline: 15 November 2022)
- Precision Agriculture Using Hyperspectral Images (Deadline: 15 November 2022)
- Remote Sensing Applications in Agricultural Ecosystems (Deadline: 23 November 2022)
- Mathematical Modelling and Simulation Algorithms for Plant Growth (Above and Belowground) from Contactless Images (Deadline: 30 November 2022)
- Advances in the Remote Sensing of Terrestrial Evaporation II (Deadline: 30 November 2022)
- Deep and Machine Learning Applications in Remote Sensing Data to Monitor and Manage Crops Using Precision Agriculture Systems (Deadline: 30 November 2022)
- UAV for High-Resolution Salt Marsh Monitoring (Deadline: 30 November 2022)
- Near Real-Time (NRT) Agriculture Monitoring (Deadline: 30 November 2022)
- Remote Sensing of Photosynthesis with Sun-Induced Chlorophyll Fluorescence and Photochemical Reflectance Index (Deadline: 30 November 2022)
- Remote Sensing of Burnt Area II (Deadline: 30 November 2022)
- Estimating Vegetation Biomass and Carbon Stock Using Remote Sensing (Deadline: 6 December 2022)
- Remote Sensing for Land Use and Vegetation Mapping (Deadline: 10 December 2022)
- Remote Sensing for Mapping Farmland and Agricultural Infrastructure (Deadline: 15 December 2022)
- Proximal and Remote Sensing for Precision Crop Management (Deadline: 15 December 2022)
- Climate Change Impact on Water and Soil Using Remote Sensing (Deadline: 15 December 2022)
- Remote Sensing of Agro-Ecosystems (Deadline: 15 December 2022)
- Application of Hyperspectral Imagery in Precision Agriculture (Deadline: 16 December 2022)
- Crop Parameters Quantitative Retrieval and Monitoring with Remote Sensing (Deadline: 20 December 2022)
- Advancing Drought Monitoring and Forecasting Using Unmanned Aircraft Systems (UAS) in a Changing Climate (Deadline: 23 December 2022)
- Remote Sensing of Tropical Vegetation (Deadline: 28 December 2022)
- Monitoring, Early Warning, and Scientific Management of Vegetation Pests and Diseases (Deadline: 31 December 2022)
- Remote Sensing for Climate-Smart Agriculture (Deadline: 31 December 2022)
- Data-Driven Approaches and State-of-the-Art Machine Learning Techniques in Support of the Remote Sensing and Agriculture (Deadline: 31 December 2022)
- The Use of Proximal and Remote Sensing Techniques for the Detection and Mapping of Contaminants in Soils (Deadline: 31 December 2022)
- Assessing Primary Ecosystem Productivity Using Satellite and Drone Data (Deadline: 15 January 2023)
- Remote Sensing for Future Food Security and Sustainable Agriculture: Part II (Deadline: 31 January 2023)
- Synergy of UAV Imagery and Artificial Intelligence for Agriculture (Deadline: 31 January 2023)
- Seasonal Vegetation Index Changes: Cases and Solutions (Deadline: 28 February 2023)
- Cropland Phenology Monitoring Based on Cloud-Computing Platforms (Deadline: 28 February 2023)
- Remote Sensing for Cropping Systems and Bare Soils Monitoring and Optimization (Deadline: 28 February 2023)
- Monitoring Agricultural Land-Use Change and Land-Use Intensity Ⅱ (Deadline: 28 March 2023)
- Remote Sensing in Viticulture II (Deadline: 30 April 2023)
- Remote Sensing and Machine Learning in Vegetation Biophysical Parameters Estimation (Deadline: 30 June 2023)
Topical Collection
Following topical collection within this section is currently open for submissions:
