Special Issue "Advances in Remote Sensing of Agriculture"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (30 November 2012) | Viewed by 192745
Interests: remote sensing of vegetation with focus on time series analysis and use of physically based radiative transfer models for mapping biochemical and biophysical traits
Special Issues, Collections and Topics in MDPI journals
Special Issue in Remote Sensing: First Experiences with European Sentinel-2 Multi-Spectral Imager (MSI)
Special Issue in Remote Sensing: Monitoring Agricultural Land-Use Change and Land-Use Intensity
Special Issue in Remote Sensing: Estimation of Crop Phenotyping Traits using Unmanned Ground Vehicle and Unmanned Aerial Vehicle Imagery
Topical Collection in Remote Sensing: Sentinel-2: Science and Applications
Special Issue in Remote Sensing: Earth Observation for Index Insurance
Special Issue in Remote Sensing: Remote Sensing for Water Resources Assessment and Monitoring in Agriculture
Special Issue in Remote Sensing: Novel Approaches for Mapping and Monitoring of Vegetation Properties from Earth Observation (EO) Data in an Agricultural Context
Special Issue in Remote Sensing: Mapping Tree Species Diversity
Special Issue in Remote Sensing: Remote Sensing in 2021
Special Issue in Remote Sensing: Cropland Phenology Monitoring Based on Cloud-Computing Platforms
The regular and timely monitoring of agricultural resources at regional to local scale is vital for economic and environmental purposes, as well as for appropriate response to food security issues at global scale. Remote sensing has shown a high potential to provide valuable information regarding the extent, status and management of agricultural land at various spatial and temporal scales.
With this special issue we compile state-of-the-art research that specifically addresses various aspects of the agricultural systems: national to global monitoring activities, crop area estimates and yield predictions, retrieval of crop biophysical characteristics, data assimilation in mechanistic crop growth models, application of remote sensing in precision agriculture (e.g., irrigation water management, fertilization). Review contributions are welcomed as well as papers describing new measurement concepts/sensors.
Prof. Clement Atzberger
- Cropland area & crop identification
- Yield & production forecasts
- Global food security & early warning systems
- Crop functioning & remote sensing data assimilation
- Crop biophysical variables & crop status
- Agricultural water management
- Precision agriculture
- Cropping patterns