119 citations as recorded by crossref.

1. VARIABILIDADE ESPACIAL E TEMPORAL DO ÍNDICE VEGETAÇÃO MPRI APLICADO ÀS IMAGENS DE GRAMA SÃO CARLOS OBTIDAS POR AERONAVE REMOTAMENTE PILOTADA L. Gonçalves et al.
2. Replacing Manual Rising Plate Meter Measurements with Low-cost UAV-Derived Sward Height Data in Grasslands for Spatial Monitoring G. Bareth & J. Schellberg
3. Techniques, Answers, and Real-World UAV Implementations for Precision Farming A. Srivastava & J. Prakash
4. Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Production M. Domingues Franceschini et al.
5. UAV-Based Estimation of Carbon Exports from Heterogeneous Soil Landscapes—A Case Study from the CarboZALF Experimental Area M. Wehrhan et al.
6. Optimizing the Timing of Unmanned Aerial Vehicle Image Acquisition for Applied Mapping of Woody Vegetation Species Using Feature Selection G. Weil et al.
7. On the Use of Unmanned Aerial Systems for Environmental Monitoring S. Manfreda et al.
8. SEAIS: Secure and Efficient Agricultural Image Storage Combining Blockchain and Satellite Networks H. Yang et al.
9. A Back Propagation Neural Network-Based Radiometric Correction Method (BPNNRCM) for UAV Multispectral Image Y. Zhang et al.
10. Identifying Urine Patches on Intensively Managed Grassland Using Aerial Imagery Captured From Remotely Piloted Aircraft Systems J. Maire et al.
11. Spectral band selection for vegetation properties retrieval using Gaussian processes regression J. Verrelst et al.
12. Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models J. Yue et al.
13. Soybean crop coverage estimation from NDVI images with different spatial resolution to evaluate yield variability in a plot A. de la Casa et al.
14. Direct Reflectance Measurements from Drones: Sensor Absolute Radiometric Calibration and System Tests for Forest Reflectance Characterization T. Hakala et al.
15. Calibration and Validation from Ground to Airborne and Satellite Level: Joint Application of Time-Synchronous Field Spectroscopy, Drone, Aircraft and Sentinel-2 Imaging P. Naethe et al.
16. Chip-scale short-wavelength infrared InGaAs microspectrometer based on a linear variable optical filter J. Jeon et al.
17. A Systematic Review of the Factors Influencing the Estimation of Vegetation Aboveground Biomass Using Unmanned Aerial Systems L. G. Poley & G. J. McDermid
18. Low-cost unmanned aerial vehicle-based digital hemispherical photography for estimating leaf area index: a feasibility assessment L. Brown et al.
19. Multicolor Fluorescence Imaging as a Candidate for Disease Detection in Plant Phenotyping M. Pérez-Bueno et al.
20. Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows H. Aasen et al.
21. Using Unmanned Aerial Vehicles to assess the rehabilitation performance of open cut coal mines K. Johansen et al.
22. A feature-supervised generative adversarial network for environmental monitoring during hazy days K. Wang et al.
23. Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance H. Aasen et al.
24. Narrow-to-Broadband Conversion for Albedo Estimation on Urban Surfaces by UAV-Based Multispectral Camera X. Xu et al.
25. Comparison of MEMS-Based and FOG-Based IMUs to Determine Sensor Pose on an Unmanned Aircraft System D. Gautam et al.
26. Spatial and Temporal Pasture Biomass Estimation Integrating Electronic Plate Meter, Planet CubeSats and Sentinel-2 Satellite Data J. Gargiulo et al.
27. Measuring fire severity using UAV imagery in semi-arid central Queensland, Australia P. McKenna et al.
28. Small Unmanned Aerial Systems (sUAS) for environmental remote sensing: challenges and opportunities revisited P. Hardin et al.
29. Reflectance calibration of UAV-based visible and near-infrared digital images acquired under variant altitude and illumination conditions L. Teixeira Crusiol et al.
30. A Solar Trajectory Model for Multi-Spectral Image Correction of DOM from Long-Endurance UAV in Clear Sky S. Wu et al.
31. Unmanned Aerial Vehicles in Agriculture: A Review of Perspective of Platform, Control, and Applications J. Kim et al.
32. Advance control strategies using image processing, UAV and AI in agriculture: a review I. Syeda et al.
33. Mini-Unmanned Aerial Vehicle-Based Remote Sensing: Techniques, applications, and prospects T. Xiang et al.
34. An Approach for Route Optimization in Applications of Precision Agriculture Using UAVs K. Srivastava et al.
35. 3D thermal volume mapping to assess the biological and physical characteristics of olive crops using remote sensing and photogrammetric methods N. Genzano & R. Colonna
36. A Review of Applications and Communication Technologies for Internet of Things (IoT) and Unmanned Aerial Vehicle (UAV) Based Sustainable Smart Farming N. Islam et al.
37. Mapping vegetation biophysical and biochemical properties using unmanned aerial vehicles-acquired imagery B. Lu et al.
38. Role of Unmanned Aerial Systems for Natural Resource Management P. Mishra & A. Rai
39. Spatiotemporal variations in alpine grassland quality and its response to climate change and grazing activity on the Qinghai-Tibet plateau T. Zhan et al.
40. Commercial Off-the-Shelf Digital Cameras on Unmanned Aerial Vehicles for Multitemporal Monitoring of Vegetation Reflectance and NDVI E. Berra et al.
41. The potential of UAV-borne spectral and textural information for predicting aboveground biomass and N fixation in legume-grass mixtures E. Grüner et al.
42. The Time of Day Is Key to Discriminate Cultivars of Sugarcane upon Imagery Data from Unmanned Aerial Vehicle M. Barbosa Júnior et al.
43. Using Ordinary Digital Cameras in Place of Near-Infrared Sensors to Derive Vegetation Indices for Phenology Studies of High Arctic Vegetation H. Anderson et al.
44. Estimating seasonal fractional green and dead vegetation cover in rehabilitated ecosystems using drone remote sensing M. Noonan et al.
45. A meta-analysis and review of unmanned aircraft system (UAS) imagery for terrestrial applications K. Singh & A. Frazier
46. Comparison of leaf area index inversion for grassland vegetation through remotely sensed spectra by unmanned aerial vehicle and field-based spectroradiometer Z. Sha et al.
47. Radiometric Correction of Multispectral UAS Images: Evaluating the Accuracy of the Parrot Sequoia Camera and Sunshine Sensor P. Olsson et al.
48. A review on drone-based harmful algae blooms monitoring D. Wu et al.
49. UAV LiDAR-based grassland biomass estimation for precision livestock management C. Hütt et al.
50. High-Resolution Classification of South Patagonian Peat Bog Microforms Reveals Potential Gaps in Up-Scaled CH4 Fluxes by use of Unmanned Aerial System (UAS) and CIR Imagery J. Lehmann et al.
51. Remote sensing of plant trait responses to field-based plant–soil feedback using UAV-based optical sensors B. van der Meij et al.
52. Plasmonic mid-infrared photodetector with narrow trenches for reconstructive spectroscopy S. Yasunaga & T. Kan
53. Classifying Reflectance Targets under Ambient Light Conditions Using Passive Spectral Measurements A. Hamidisepehr et al.
54. Measurement of land surface temperature from oblique angle airborne thermal camera observations R. Byerlay et al.
55. Drones in agriculture: A review and bibliometric analysis A. Rejeb et al.
56. Teaching Remote Sensing Techniques With High-Quality, Low-Cost Sensors [Education] T. Schuettler et al.
57. Spectroradiometric detection of competitor diatoms and the grazer Poteriochromonas in algal cultures T. Reichardt et al.
58. Automatic Identification of Shrub-Encroached Grassland in the Mongolian Plateau Based on UAS Remote Sensing Y. Dong et al.
59. A system of UAV application in indoor environment Y. Khosiawan & I. Nielsen
60. Task scheduling system for UAV operations in indoor environment Y. Khosiawan et al.
61. Detection of crop water status using UAV mounted sensor J. Coulombe et al.
62. A low-cost UAV framework towards ornamental plant detection and counting in the wild E. Bayraktar et al.
63. Variation of nutritive value, measured by proximal hyperspectral sensing, of herbage offered to grazing dairy cows F. Duranovich et al.
64. The q-rung fuzzy LOPCOW-VIKOR model to assess the role of unmanned aerial vehicles for precision agriculture realization in the Agri-Food 4.0 era F. Ecer et al.
65. Spectral Comparison of UAV-Based Hyper and Multispectral Cameras for Precision Viticulture S. Di Gennaro et al.
66. Multi-temporal high-resolution imaging spectroscopy with hyperspectral 2D imagers – From theory to application H. Aasen & A. Bolten
67. Rice Growth-Stage Recognition Based on Improved YOLOv8 with UAV Imagery W. Cai et al.
68. Mapping biological soil crusts in a Hawaiian dryland E. Collier et al.
69. UAV Remote Sensing Technology for Wheat Growth Monitoring in Precision Agriculture: Comparison of Data Quality and Growth Parameter Inversion J. Liu et al.
70. Influence of tillage systems on soil physical properties, spectral response and yield of the bean crop R. Martins et al.
71. Estimating Plant Traits of Grasslands from UAV-Acquired Hyperspectral Images: A Comparison of Statistical Approaches A. Capolupo et al.
72. UAVs technology for the development of GUI based application for precision agriculture and environmental research K. Srivastava et al.
73. Drone-Related Agrotechnologies for Precise Plant Protection in Western Balkans: Applications, Possibilities, and Legal Framework Limitations A. Ivezić et al.
74. Technological opportunities for sensing of the health effects of weather and climate change: a state-of-the-art-review V. Anderson et al.
75. Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements, and Challenges P. Reddy Maddikunta et al.
76. Plant Leaf Disease Detection, Classification, and Diagnosis Using Computer Vision and Artificial Intelligence: A Review A. Bhargava et al.
77. Species classification using Unmanned Aerial Vehicle (UAV)-acquired high spatial resolution imagery in a heterogeneous grassland B. Lu & Y. He
78. Hierarchical land cover and vegetation classification using multispectral data acquired from an unmanned aerial vehicle O. Ahmed et al.
79. Unmanned Aerial System multispectral mapping for low and variable solar irradiance conditions: Potential of tensor decomposition S. Wang et al.
80. Construction of an unmanned aerial vehicle remote sensing system for crop monitoring S. Jeong et al.
81. Mapping field-scale soil organic carbon with unmanned aircraft system-acquired time series multispectral images L. Guo et al.
82. Plasmonic photodetector with submicron grating for reconstructive spectroscopy of low-intensity broadband light Y. Kaneda et al.
83. Radiometric and spectral comparison of inexpensive camera systems used for remote sensing C. Coburn et al.
84. Pixel- and object-based multispectral classification of forest tree species from small unmanned aerial vehicles S. Franklin
85. Bidirectional Reflectance Distribution Function Modeling Considerations in Small Unmanned Multispectral Systems R. Fischer et al.
86. A Systematic Study of Estimating Potato N Concentrations Using UAV-Based Hyper- and Multi-Spectral Imagery J. Zhou et al.
87. Multispectral UAV monitoring of submerged seaweed in shallow water Y. Taddia et al.
88. Experimental Evaluation and Consistency Comparison of UAV Multispectral Minisensors H. Lu et al.
89. Using Proximal Hyperspectral Sensing to Predict Herbage Nutritive Value for Dairy Farming F. Duranovich et al.
90. State of Major Vegetation Indices in Precision Agriculture Studies Indexed in Web of Science: A Review D. Radočaj et al.
91. Phenological analysis of unmanned aerial vehicle based time series of barley imagery with high temporal resolution A. Burkart et al.
92. Predicting pasture biomass using a statistical model and machine learning algorithm implemented with remotely sensed imagery D. De Rosa et al.
93. Emerging Technologies for Automation in Environmental Sensing: Review S. Borah et al.
94. Drone-Based Monitoring and Mapping for LMO Confined Field Management under the Ministry of Environment S. Han et al.
95. Task scheduling system for UAV operations in agricultural plant protection environment F. Sun et al.
96. Airborne Hyperspectral Data Predict Fine-Scale Plant Species Diversity in Grazed Dry Grasslands T. Möckel et al.
97. Drone Laser Scanning for Modeling Riverscape Topography and Vegetation: Comparison with Traditional Aerial Lidar J. Resop et al.
98. A Fog Computing Framework for Intrusion Detection of Energy-Based Attacks on UAV-Assisted Smart Farming J. Sajid et al.
99. Automatic Identification and Monitoring of Plant Diseases Using Unmanned Aerial Vehicles: A Review K. Neupane & F. Baysal-Gurel
100. Estimating reed loss caused by Locusta migratoria manilensis using UAV-based hyperspectral data P. Song et al.
101. Performance modeling and analysis of a UAV path planning and target detection in a UAV-based wireless sensor network P. Sun & A. Boukerche
102. Modeling Mid-Season Rice Nitrogen Uptake Using Multispectral Satellite Data J. Brinkhoff et al.
103. Assessing the accuracy of an infrared-converted drone camera with Orange-Cyan-NIR filter for vegetation and environmental monitoring A. Louw et al.
104. Can nitrogen input mapping from aerial imagery improve nitrous oxide emissions estimates from grazed grassland? J. Maire et al.
105. Optimizing Data Consistency in UAV Multispectral Imaging for Radiometric Correction and Sensor Conversion Models W. Yang et al.
106. Cyberthreats and Security Measures in Drone-Assisted Agriculture K. Tychola & K. Rantos
107. Quantifying Aboveground Biomass of Shrubs Using Spectral and Structural Metrics Derived from UAS Imagery L. Poley et al.
108. Spectral-Based Classification of Plant Species Groups and Functional Plant Parts in Managed Permanent Grassland R. Britz et al.
109. Examining the influence of bare soil UAV imagery combined with auxiliary datasets to estimate and map soil organic carbon distribution in an erosion-prone agricultural field J. Biney et al.
110. Accurate Conversion of Land Surface Reflectance for Drone-Based Multispectral Remote Sensing Images Using a Solar Radiation Component Separation Approach H. Sun et al.
111. Derivation of High Spatial Resolution Albedo from UAV Digital Imagery: Application over the Greenland Ice Sheet J. Ryan et al.
112. Development of a Radiometric Calibration Method for Multispectral Images of Croplands Obtained with a Remote-Controlled Aerial System T. Shin et al.
113. A pilot project combining multispectral proximal sensors and digital cameras for monitoring tropical pastures R. Handcock et al.
114. A non-destructive method for rapid acquisition of grassland aboveground biomass for satellite ground verification using UAV RGB images H. Zhang et al.
115. Error Budget for Geolocation of Spectroradiometer Point Observations from an Unmanned Aircraft System D. Gautam et al.
116. The use of machine learning methods to estimate aboveground biomass of grasslands: A review T. Morais et al.
117. Monitoring drought response and chlorophyll content in Quercus by consumer-grade, near-infrared (NIR) camera: a comparison with reflectance spectroscopy S. Raddi et al.
118. Multispectral UAS Data Accuracy for Different Radiometric Calibration Methods A. Poncet et al.
119. Rice Leaf Chlorophyll Content Estimation Using UAV-Based Spectral Images in Different Regions S. Ban et al.