42 citations as recorded by crossref.

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6. Inversion of Winter Wheat Growth Parameters and Yield Under Different Water Treatments Based on UAV Multispectral Remote Sensing X. Han et al. 10.3389/fpls.2021.609876
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8. Investigating Plant Response to Soil Characteristics and Slope Positions in a Small Catchment T. Zsigmond et al. 10.3390/land11060774
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12. Growing season leaf carbon:nitrogen dynamics in Arctic tundra vegetation from ground and Sentinel-2 observations reveal reallocation timing and upscaling potential A. Westergaard-Nielsen et al. 10.1016/j.rse.2021.112512
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19. Evaluation of nitrogen treatment effects on the reflectance of cotton at different spatial scales F. Muharam et al. 10.1080/01431161.2018.1488286
20. Evaluating sensitivity of hyperspectral indices for estimating mangrove chlorophyll in Middle Andaman Island, India R. George et al. 10.1007/s10661-019-7679-6
21. Vertical distributions of chlorophyll and nitrogen and their associations with photosynthesis under drought and rewatering regimes in a maize field Y. Li et al. 10.1016/j.agrformet.2019.03.026
22. Hyperspectral UAV Images at Different Altitudes for Monitoring the Leaf Nitrogen Content in Cotton Crops C. Yin et al. 10.3390/rs14112576
23. Estimating Leaf Area Index with a New Vegetation Index Considering the Influence of Rice Panicles J. He et al. 10.3390/rs11151809
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25. Monitoring Agronomic Parameters of Winter Wheat Crops with Low-Cost UAV Imagery M. Schirrmann et al. 10.3390/rs8090706
26. Performance assessment of the Sentinel-2 LAI products and data fusion techniques for developing new LAI datasets over the high-altitude Himalayan forests V. Dugesar et al. 10.1080/10106049.2023.2247380
27. Mapping vegetation biophysical and biochemical properties using unmanned aerial vehicles-acquired imagery B. Lu et al. 10.1080/01431161.2017.1363441
28. Vegetation traits of pre-Alpine grasslands in southern Germany A. Schucknecht et al. 10.1038/s41597-020-00651-7
29. Unmanned aerial vehicle-based remote sensing in monitoring smallholder, heterogeneous crop fields in Tanzania I. Yonah et al. 10.1080/01431161.2018.1455241
30. Empirical Prediction of Leaf Area Index (LAI) of Endangered Tree Species in Intact and Fragmented Indigenous Forests Ecosystems Using WorldView-2 Data and Two Robust Machine Learning Algorithms G. Omer et al. 10.3390/rs8040324
31. Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest H. Yang et al. 10.1038/s41598-017-01260-y
32. Machine Learning Using Hyperspectral Data Inaccurately Predicts Plant Traits Under Spatial Dependency A. Rocha et al. 10.3390/rs10081263
33. Effects of Crop Leaf Angle on LAI-Sensitive Narrow-Band Vegetation Indices Derived from Imaging Spectroscopy X. Zou et al. 10.3390/app8091435
34. Indoor Plant Soil-Plant Analysis Development (SPAD) Prediction Based on Multispectral Indices and Soil Electroconductivity: A Deep Learning Approach D. Radočaj et al. 10.3390/horticulturae9121290
35. Comparison of Direct and Indirect Determination of Leaf Area Index in Permanent Grassland A. Klingler et al. 10.1007/s41064-020-00119-8
36. A novel reflectance-based model for evaluating chlorophyll concentrations of fresh and water-stressed leaves C. Lin et al. 10.5194/bg-12-49-2015
37. Estimating canopy LAI and chlorophyll of tropical forest plantation (North India) using Sentinel-2 data H. Padalia et al. 10.1016/j.asr.2019.09.023
38. Spectral indices for remote sensing of phytomass, deciduous shrubs, and productivity in Alaskan Arctic tundra K. Kushida et al. 10.1080/01431161.2015.1080878
39. Maize leaf functional responses to blending urea and slow-release nitrogen fertilizer under various drip irrigation regimes J. Guo et al. 10.1016/j.agwat.2021.107396
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