Fusion of different multispectral band combinations of Sentinel-2A with UAV imagery for crop classification
Author:
Affiliation:
1. National Institute of Technology, Warangal, Telangana, India
Publisher
SPIE-Intl Soc Optical Eng
Reference42 articles.
1. The Role of Agriculture in Ensuring Food Security in Developing Countries: Considerations in the Context of the Problem of Sustainable Food Production
2. Crop type mapping using LiDAR, Sentinel-2 and aerial imagery with machine learning algorithms
3. Identification and mapping of soybean and maize crops based on Sentinel-2 data
4. Spectral Index Fusion for Salinized Soil Salinity Inversion Using Sentinel-2A and UAV Images in a Coastal Area
5. Evolution and application of digital technologies to predict crop type and crop phenology in agriculture
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1. Selection of suitable fusional band combination from Sentinel-2A and UAV imagery for agricultural applications;Journal of Spatial Science;2024-05-27
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