79 citations as recorded by crossref.

1. Replacing Manual Rising Plate Meter Measurements with Low-cost UAV-Derived Sward Height Data in Grasslands for Spatial Monitoring G. Bareth & J. Schellberg 10.1007/s41064-018-0055-2
2. 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. 10.3390/s17061428
3. UAV-Based Estimation of Carbon Exports from Heterogeneous Soil Landscapes—A Case Study from the CarboZALF Experimental Area M. Wehrhan et al. 10.3390/s16020255
4. Optimizing the Timing of Unmanned Aerial Vehicle Image Acquisition for Applied Mapping of Woody Vegetation Species Using Feature Selection G. Weil et al. 10.3390/rs9111130
5. On the Use of Unmanned Aerial Systems for Environmental Monitoring S. Manfreda et al. 10.3390/rs10040641
6. Multi-temporal high-resolution imaging spectroscopy with hyperspectral 2D imagers – From theory to application H. Aasen & A. Bolten 10.1016/j.rse.2017.10.043
7. Identifying Urine Patches on Intensively Managed Grassland Using Aerial Imagery Captured From Remotely Piloted Aircraft Systems J. Maire et al. 10.3389/fsufs.2018.00010
8. Spectral band selection for vegetation properties retrieval using Gaussian processes regression J. Verrelst et al. 10.1016/j.jag.2016.07.016
9. Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models J. Yue et al. 10.3390/rs9070708
10. Estimating Plant Traits of Grasslands from UAV-Acquired Hyperspectral Images: A Comparison of Statistical Approaches A. Capolupo et al. 10.3390/ijgi4042792
11. UAVs technology for the development of GUI based application for precision agriculture and environmental research K. Srivastava et al. 10.1016/j.rsase.2019.100258
12. Visible to long-wave infrared chip-scale spectrometers based on photodetectors with tailored responsivities and multispectral filters J. Cadusch et al. 10.1515/nanoph-2020-0114
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. 10.1016/j.isprsjprs.2018.10.018
14. Direct Reflectance Measurements from Drones: Sensor Absolute Radiometric Calibration and System Tests for Forest Reflectance Characterization T. Hakala et al. 10.3390/s18051417
15. Technological opportunities for sensing of the health effects of weather and climate change: a state-of-the-art-review V. Anderson et al. 10.1007/s00484-020-02063-z
16. A Systematic Review of the Factors Influencing the Estimation of Vegetation Aboveground Biomass Using Unmanned Aerial Systems L. G. Poley & G. J. McDermid 10.3390/rs12071052
17. Low-cost unmanned aerial vehicle-based digital hemispherical photography for estimating leaf area index: a feasibility assessment L. Brown et al. 10.1080/2150704X.2020.1802527
18. Multicolor Fluorescence Imaging as a Candidate for Disease Detection in Plant Phenotyping M. Pérez-Bueno et al. 10.3389/fpls.2016.01790
19. Species classification using Unmanned Aerial Vehicle (UAV)-acquired high spatial resolution imagery in a heterogeneous grassland B. Lu & Y. He 10.1016/j.isprsjprs.2017.03.011
20. Hierarchical land cover and vegetation classification using multispectral data acquired from an unmanned aerial vehicle O. Ahmed et al. 10.1080/01431161.2017.1294781
21. 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. 10.3390/rs10071091
22. Using Unmanned Aerial Vehicles to assess the rehabilitation performance of open cut coal mines K. Johansen et al. 10.1016/j.jclepro.2018.10.287
23. Unmanned Aerial System multispectral mapping for low and variable solar irradiance conditions: Potential of tensor decomposition S. Wang et al. 10.1016/j.isprsjprs.2019.06.017
24. A feature-supervised generative adversarial network for environmental monitoring during hazy days K. Wang et al. 10.1016/j.scitotenv.2020.141445
25. Construction of an unmanned aerial vehicle remote sensing system for crop monitoring S. Jeong et al. 10.1117/1.JRS.10.026027
26. Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance H. Aasen et al. 10.1016/j.isprsjprs.2015.08.002
27. Mapping field-scale soil organic carbon with unmanned aircraft system-acquired time series multispectral images L. Guo et al. 10.1016/j.still.2019.104477
28. Narrow-to-Broadband Conversion for Albedo Estimation on Urban Surfaces by UAV-Based Multispectral Camera X. Xu et al. 10.3390/rs12142214
29. Radiometric and spectral comparison of inexpensive camera systems used for remote sensing C. Coburn et al. 10.1080/01431161.2018.1466085
30. Pixel- and object-based multispectral classification of forest tree species from small unmanned aerial vehicles S. Franklin 10.1139/juvs-2017-0022
31. Comparison of MEMS-Based and FOG-Based IMUs to Determine Sensor Pose on an Unmanned Aircraft System D. Gautam et al. 10.1061/(ASCE)SU.1943-5428.0000225
32. Multispectral UAV monitoring of submerged seaweed in shallow water Y. Taddia et al. 10.1007/s12518-019-00270-x
33. Experimental Evaluation and Consistency Comparison of UAV Multispectral Minisensors H. Lu et al. 10.3390/rs12162542
34. Using Proximal Hyperspectral Sensing to Predict Herbage Nutritive Value for Dairy Farming F. Duranovich et al. 10.3390/agronomy10111826
35. Spatial and Temporal Pasture Biomass Estimation Integrating Electronic Plate Meter, Planet CubeSats and Sentinel-2 Satellite Data J. Gargiulo et al. 10.3390/rs12193222
36. Measuring fire severity using UAV imagery in semi-arid central Queensland, Australia P. McKenna et al. 10.1080/01431161.2017.1317942
37. Phenological analysis of unmanned aerial vehicle based time series of barley imagery with high temporal resolution A. Burkart et al. 10.1007/s11119-017-9504-y
38. Predicting pasture biomass using a statistical model and machine learning algorithm implemented with remotely sensed imagery D. De Rosa et al. 10.1016/j.compag.2020.105880
39. Small Unmanned Aerial Systems (sUAS) for environmental remote sensing: challenges and opportunities revisited P. Hardin et al. 10.1080/15481603.2018.1510088
40. Reflectance calibration of UAV-based visible and near-infrared digital images acquired under variant altitude and illumination conditions L. Teixeira Crusiol et al. 10.1016/j.rsase.2020.100312
41. Unmanned Aerial Vehicles in Agriculture: A Review of Perspective of Platform, Control, and Applications J. Kim et al. 10.1109/ACCESS.2019.2932119
42. Task scheduling system for UAV operations in agricultural plant protection environment F. Sun et al. 10.1007/s12652-020-01969-1
43. Airborne Hyperspectral Data Predict Fine-Scale Plant Species Diversity in Grazed Dry Grasslands T. Möckel et al. 10.3390/rs8020133
44. Combining multi-spectral proximal sensors and digital cameras for monitoring grazed tropical pastures R. Handcock et al. 10.5194/bgd-12-18007-2015
45. Drone Laser Scanning for Modeling Riverscape Topography and Vegetation: Comparison with Traditional Aerial Lidar J. Resop et al. 10.3390/drones3020035
46. Mini-Unmanned Aerial Vehicle-Based Remote Sensing: Techniques, applications, and prospects T. Xiang et al. 10.1109/MGRS.2019.2918840
47. An Approach for Route Optimization in Applications of Precision Agriculture Using UAVs K. Srivastava et al. 10.3390/drones4030058
48. Mapping vegetation biophysical and biochemical properties using unmanned aerial vehicles-acquired imagery B. Lu et al. 10.1080/01431161.2017.1363441
49. Estimating reed loss caused by Locusta migratoria manilensis using UAV-based hyperspectral data P. Song et al. 10.1016/j.scitotenv.2020.137519
50. Performance modeling and analysis of a UAV path planning and target detection in a UAV-based wireless sensor network P. Sun & A. Boukerche 10.1016/j.comnet.2018.09.022
51. Role of Unmanned Aerial Systems for Natural Resource Management P. Mishra & A. Rai 10.1007/s12524-020-01230-4
52. Commercial Off-the-Shelf Digital Cameras on Unmanned Aerial Vehicles for Multitemporal Monitoring of Vegetation Reflectance and NDVI E. Berra et al. 10.1109/TGRS.2017.2655365
53. The potential of UAV-borne spectral and textural information for predicting aboveground biomass and N fixation in legume-grass mixtures E. Grüner et al. 10.1371/journal.pone.0234703
54. Modeling Mid-Season Rice Nitrogen Uptake Using Multispectral Satellite Data J. Brinkhoff et al. 10.3390/rs11151837
55. Review: Cost-Effective Unmanned Aerial Vehicle (UAV) Platform for Field Plant Breeding Application G. Jang et al. 10.3390/rs12060998
56. 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. 10.3390/rs8100847
57. A meta-analysis and review of unmanned aircraft system (UAS) imagery for terrestrial applications K. Singh & A. Frazier 10.1080/01431161.2017.1420941
58. 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. 10.1093/jpe/rty036
59. A review on drone-based harmful algae blooms monitoring D. Wu et al. 10.1007/s10661-019-7365-8
60. Quantifying Aboveground Biomass of Shrubs Using Spectral and Structural Metrics Derived from UAS Imagery L. Poley et al. 10.3390/rs12142199
61. 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. 10.3390/rs8030173
62. Remote sensing of plant trait responses to field-based plant–soil feedback using UAV-based optical sensors B. van der Meij et al. 10.5194/bg-14-733-2017
63. Classifying Reflectance Targets under Ambient Light Conditions Using Passive Spectral Measurements A. Hamidisepehr et al. 10.3390/s20185375
64. Measurement of land surface temperature from oblique angle airborne thermal camera observations R. Byerlay et al. 10.1080/01431161.2019.1699672
65. Derivation of High Spatial Resolution Albedo from UAV Digital Imagery: Application over the Greenland Ice Sheet J. Ryan et al. 10.3389/feart.2017.00040
66. A pilot project combining multispectral proximal sensors and digital cameras for monitoring tropical pastures R. Handcock et al. 10.5194/bg-13-4673-2016
67. Teaching Remote Sensing Techniques With High-Quality, Low-Cost Sensors [Education] T. Schuettler et al. 10.1109/MGRS.2018.2878596
68. Automatic Identification of Shrub-Encroached Grassland in the Mongolian Plateau Based on UAS Remote Sensing Y. Dong et al. 10.3390/rs11131623
69. Error Budget for Geolocation of Spectroradiometer Point Observations from an Unmanned Aircraft System D. Gautam et al. 10.3390/s18103465
70. A system of UAV application in indoor environment Y. Khosiawan & I. Nielsen 10.1080/21693277.2016.1195304
71. Task scheduling system for UAV operations in indoor environment Y. Khosiawan et al. 10.1007/s00521-018-3373-9
72. Detection of crop water status using UAV mounted sensor J. Coulombe et al. 10.17660/ActaHortic.2020.1279.39
73. Multispectral UAS Data Accuracy for Different Radiometric Calibration Methods A. Poncet et al. 10.3390/rs11161917
74. A low-cost UAV framework towards ornamental plant detection and counting in the wild E. Bayraktar et al. 10.1016/j.isprsjprs.2020.06.012
75. Estimation of Wheat LAI at Middle to High Levels Using Unmanned Aerial Vehicle Narrowband Multispectral Imagery X. Yao et al. 10.3390/rs9121304
76. Analysis and Evaluation of the Image Preprocessing Process of a Six-Band Multispectral Camera Mounted on an Unmanned Aerial Vehicle for Winter Wheat Monitoring J. Jiang et al. 10.3390/s19030747
77. Evaluation of RGB, Color-Infrared and Multispectral Images Acquired from Unmanned Aerial Systems for the Estimation of Nitrogen Accumulation in Rice H. Zheng et al. 10.3390/rs10060824
78. The role of forage management in addressing challenges facing Australasian dairy farming L. Cranston et al. 10.1071/AN18570
79. Predicting Biomass and Yield in a Tomato Phenotyping Experiment Using UAV Imagery and Random Forest K. Johansen et al. 10.3389/frai.2020.00028