UAV/SATELLITE MULTISCALE DATA FUSION FOR CROP MONITORING AND EARLY STRESS DETECTION

32 citations as recorded by crossref.

1. Past and Future of Plant Stress Detection: An Overview From Remote Sensing to Positron Emission Tomography A. Galieni et al. 10.3389/fpls.2020.609155
2. Effect of Image Fusion on Vegetation Index Quality—A Comparative Study from Gaofen-1, Gaofen-2, Gaofen-4, Landsat-8 OLI and MODIS Imagery P. Ghimire et al. 10.3390/rs12101550
3. High spatio-temporal monitoring of century-old biochar effects on evapotranspiration through the ETLook model: a case study with UAV and satellite image fusion based on additive wavelet transform (AWT) R. Heidarian Dehkordi et al. 10.1080/15481603.2021.2016262
4. Urban tree species classification using UAV-based multi-sensor data fusion and machine learning S. Hartling et al. 10.1080/15481603.2021.1974275
5. Applications of UAV Thermal Imagery in Precision Agriculture: State of the Art and Future Research Outlook G. Messina & G. Modica 10.3390/rs12091491
6. Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity L. Kooistra et al. 10.5194/bg-21-473-2024
7. Building a UAV Based System to Acquire High Spatial Resolution Thermal Imagery for Energy Balance Modelling K. Pintér & Z. Nagy 10.3390/s22093251
8. GIS approaches to creating maps based on vegetation indices for forest management Y. Savchenko et al. 10.1088/1757-899X/828/1/012021
9. Modeling of Diurnal Changing Patterns in Airborne Crop Remote Sensing Images D. Ma et al. 10.3390/rs13091719
10. High-resolution satellite imagery applications in crop phenotyping: An overview C. Zhang et al. 10.1016/j.compag.2020.105584
11. The Role of Remote Sensing in Olive Growing Farm Management: A Research Outlook from 2000 to the Present in the Framework of Precision Agriculture Applications G. Messina & G. Modica 10.3390/rs14235951
12. Evapotranspiration measurements in pasture, crops, and native Brazilian Cerrado based on UAV-borne multispectral sensor G. de Lima et al. 10.1007/s10661-024-13224-7
13. Faba bean above-ground biomass and bean yield estimation based on consumer-grade unmanned aerial vehicle RGB images and ensemble learning Y. Ji et al. 10.1007/s11119-023-09997-5
14. A grid-level segmentation model based on encoder-decoder structure with multi-source features for crop lodging detection L. Wang & H. Xiao 10.1016/j.asoc.2023.111113
15. Impact of remote sensing data fusion on agriculture applications: A review A. Allu & S. Mesapam 10.1016/j.eja.2024.127478
16. A comprehensive review of recent approaches and Hardware-Software technologies for digitalisation and intellectualisation of Open-Field crop Production: Ukrainian case study in the global context I. Laktionov et al. 10.1016/j.compag.2024.109326
17. Assessing the Potential of 10-m Resolution TVDI Based on Downscaled LST to Monitor Soil Moisture in Tang River Basin, China L. Cheng et al. 10.3390/rs15030744
18. Cross-scale observation of riparian vegetation: Testing the potential of satellite-UAV-Field integrated observations for large-scale herbaceous species W. Jiang et al. 10.1016/j.ecoinf.2025.103016
19. Estimation of Agronomic Characters of Wheat Based on Variable Selection and  Machine Learning Algorithms D. Wang et al. 10.3390/agronomy13112808
20. Comparison of UAV and SAR performance for Crop type classification using machine learning algorithms: a case study of humid forest ecology experimental research site of West Africa O. Duke et al. 10.1080/01431161.2022.2109444
21. A Comprehensive Review of High Throughput Phenotyping and Machine Learning for Plant Stress Phenotyping T. Gill et al. 10.1007/s43657-022-00048-z
22. Estimating Crop Seed Composition Using Machine Learning from Multisensory UAV Data K. Dilmurat et al. 10.3390/rs14194786
23. Technology and Data Fusion Methods to Enhance Site-Specific Crop Monitoring U. Ahmad et al. 10.3390/agronomy12030555
24. Selection of suitable fusional band combination from Sentinel-2A and UAV imagery for agricultural applications A. Allu & S. Mesapam 10.1080/14498596.2024.2353158
25. High-Throughput Plant Phenotyping Platform (HT3P) as a Novel Tool for Estimating Agronomic Traits From the Lab to the Field D. Li et al. 10.3389/fbioe.2020.623705
26. Diurnal and Seasonal Mapping of Water Deficit Index and Evapotranspiration by an Unmanned Aerial System: A Case Study for Winter Wheat in Denmark V. Antoniuk et al. 10.3390/rs13152998
27. Evaluation of a Baseline Controller for Autonomous “Figure-8” Flights of a Morphing Geometry Quadcopter: Flight Performance Y. Bai & S. Gururajan 10.3390/drones3030070
28. Soybean yield prediction from UAV using multimodal data fusion and deep learning M. Maimaitijiang et al. 10.1016/j.rse.2019.111599
29. Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning M. Maimaitijiang et al. 10.3390/rs12091357
30. A Comprehensive Survey of the Recent Studies with UAV for Precision Agriculture in Open Fields and Greenhouses M. Aslan et al. 10.3390/app12031047
31. Assessing field scale spatiotemporal heterogeneity in salinity dynamics using aerial data assimilation S. Ebrahimi et al. 10.1016/j.agwat.2024.109114
32. A critical review on multi-sensor and multi-platform remote sensing data fusion approaches: current status and prospects F. Samadzadegan et al. 10.1080/01431161.2024.2429784