96 citations as recorded by crossref.

1. Hyperspectral Imagery Detects Water Deficit and Salinity Effects on Photosynthesis and Antioxidant Enzyme Activity of Three Greek Olive Varieties B. Boshkovski et al. 10.3390/su14031432
2. Functional thresholds alter the relationship of plant resistance and recovery to drought J. Ingrisch et al. 10.1002/ecy.3907
3. Modeling of Environmental Impacts on Aerial Hyperspectral Images for Corn Plant Phenotyping D. Ma et al. 10.3390/rs13132520
4. Plant drought impact detection using ultra-high spatial resolution hyperspectral images and machine learning P. Dao et al. 10.1016/j.jag.2021.102364
5. Picea schrenkiana tree-ring chronologies development and vegetation index reconstruction for the Alatau Mountains, Central Asia T. Zhang et al. 10.1515/geochr-2015-0091
6. First Investigation of the Relationship Between Solar-Induced Chlorophyll Fluorescence Observed by TanSat and Gross Primary Productivity S. Du et al. 10.1109/JSTARS.2021.3128355
7. The biological basis for using optical signals to track evergreen needleleaf photosynthesis Z. Pierrat et al. 10.1093/biosci/biad116
8. Satellite chlorophyll fluorescence measurements reveal large‐scale decoupling of photosynthesis and greenness dynamics in boreal evergreen forests S. Walther et al. 10.1111/gcb.13200
9. Aspects of Invasiveness of Ludwigia and Nelumbo in Shallow Temperate Fluvial Lakes V. Tóth et al. 10.3389/fpls.2019.00647
10. Evaluating the Effect of Vegetation Index Based on Multiple Tree-Ring Parameters in the Central Tianshan Mountains J. Song et al. 10.3390/f14122362
11. Corrected photochemical reflectance index (PRI) is an effective tool for detecting environmental stresses in agricultural crops under light conditions K. Kohzuma et al. 10.1007/s10265-021-01316-1
12. Proximal remote sensing and gross primary productivity in a temperate salt marsh A. Vázquez-Lule & R. Vargas 10.1016/j.agrformet.2023.109639
13. The Photochemical Reflectance Index (PRI) Captures the Ecohydrologic Sensitivity of a Semiarid Mixed Conifer Forest J. Yang et al. 10.1029/2019JG005624
14. Research progress of crop diseases monitoring based on reflectance and chlorophyll fluorescence data X. JING et al. 10.3724/SP.J.1006.2021.03057
15. A ground based platform for high throughput phenotyping J. Enciso et al. 10.1016/j.compag.2017.08.006
16. Genetic Dissection of Seasonal Changes in a Greening Plant Based on Time-Series Multispectral Imaging T. Koji et al. 10.3390/plants12203597
17. High-throughput phenotyping of a large tomato collection under water deficit: Combining UAVs’ remote sensing with conventional leaf-level physiologic and agronomic measurements M. Fullana-Pericàs et al. 10.1016/j.agwat.2021.107283
18. Growth and Photosynthetic Response of Capsicum annuum L. in Biochar Amended Soil K. Pokovai et al. 10.3390/app10124111
19. Spatio-temporal linkage variations between NDVI and tree rings on the leeward side of the northern Patagonian Andes V. Gallardo et al. 10.1016/j.foreco.2023.121593
20. Novel technique for non-destructive LAI estimation by continuous measurement of NIR and PAR in rice canopy S. Fukuda et al. 10.1016/j.fcr.2021.108070
21. An Improved Approach to Monitoring Wheat Stripe Rust with Sun-Induced Chlorophyll Fluorescence K. Du et al. 10.3390/rs15030693
22. EUROSPEC: at the interface between remote-sensing and ecosystem CO<sub>2</sub> flux measurements in Europe A. Porcar-Castell et al. 10.5194/bg-12-6103-2015
23. It's only natural: Plant respiration in unmanaged systems S. Schmiege et al. 10.1093/plphys/kiad167
24. A Comparison of the Signal from Diverse Optical Sensors for Monitoring Alpine Grassland Dynamics M. Rossi et al. 10.3390/rs11030296
25. Unveiling spatial and temporal heterogeneity of a tropical forest canopy using high-resolution NIRv, FCVI, and NIRvrad from UAS observations T. Merrick et al. 10.5194/bg-18-6077-2021
26. Assessing Tree Water Balance after Forest Thinning Treatments Using Thermal and Multispectral Imaging C. Schrader-Patton et al. 10.3390/rs16061005
27. Ag-IoT for crop and environment monitoring: Past, present, and future N. Chamara et al. 10.1016/j.agsy.2022.103497
28. Performances of Vegetation Indices on Paddy Rice at Elevated Air Temperature, Heat Stress, and Herbicide Damage J. Ryu et al. 10.3390/rs12162654
29. Detecting short-term stress and recovery events in a vineyard using tower-based remote sensing of photochemical reflectance index (PRI) C. Wong et al. 10.1007/s00271-022-00777-z
30. Development and evaluation of a self-propelled electric platform for high-throughput field phenotyping in wheat breeding trials M. Pérez-Ruiz et al. 10.1016/j.compag.2020.105237
31. Estimation of tomato water status with photochemical reflectance index and machine learning: Assessment from proximal sensors and UAV imagery Z. Tang et al. 10.3389/fpls.2023.1057733
32. Winter grazing does not affect soybean yield despite lower soil water content in a subtropical crop-livestock system C. Peterson et al. 10.1007/s13593-019-0573-3
33. Comparing Machine Learning Methods for Classifying Plant Drought Stress from Leaf Reflectance Spectra in Arabidopsis thaliana A. Barradas et al. 10.3390/app11146392
34. Contrasting photoprotective responses of forest trees revealed using PRI light responses sampled with airborne imaging spectrometry J. Gamon et al. 10.1111/nph.18754
35. Coupling spectral and resource-use complementarity in experimental grassland and forest communities A. Schweiger et al. 10.1098/rspb.2021.1290
36. Simple method for extracting the seasonal signals of photochemical reflectance index and normalized difference vegetation index measured using a spectral reflectance sensor J. RYU et al. 10.1016/S2095-3119(20)63410-4
37. Tracking the phenology of photosynthesis using carotenoid‐sensitive and near‐infrared reflectance vegetation indices in a temperate evergreen and mixed deciduous forest C. Wong et al. 10.1111/nph.16479
38. Linking vegetation spectral reflectance with ecosystem carbon phenology in a temperate salt marsh A. Hill et al. 10.1016/j.agrformet.2021.108481
39. Quantifying the effects of stripe rust disease on wheat canopy spectrum based on eliminating non-physiological stresses X. Jing et al. 10.1016/j.cj.2022.07.009
40. The response of boreal peatland community composition and NDVI to hydrologic change, warming, and elevated carbon dioxide M. McPartland et al. 10.1111/gcb.14465
41. Forest dynamics in relation to meteorology and soil in the Gulf Coast of Mexico T. Li & Q. Meng 10.1016/j.scitotenv.2019.134913
42. Robotics-based vineyard water potential monitoring at high resolution V. Saiz-Rubio et al. 10.1016/j.compag.2021.106311
43. Correction of PRI for carotenoid pigment pools improves photosynthesis estimation across different irradiance and temperature conditions D. Kováč et al. 10.1016/j.rse.2020.111834
44. Mapping the Irradiance Field of a Single Tree: Quantifying Vegetation-Induced Adjacency Effects D. Kukenbrink et al. 10.1109/TGRS.2019.2895211
45. Soil water depletion induces discrepancies between in situ measured vegetation indices and photosynthesis in a temperate heathland M. Maleki et al. 10.1016/j.agrformet.2022.109110
46. Anthocyanins act as a sugar-buffer and an alternative electron sink in response to starch depletion during leaf senescence: a case study on a typical anthocyanic tree species, Acer japonicum M. Kitao et al. 10.1093/jxb/erae109
47. A new multispectral index for canopy nitrogen concentration applicable across growth stages in ryegrass and barley M. Patel et al. 10.1007/s11119-023-10081-1
48. Integrating chlorophyll fAPAR and nadir photochemical reflectance index from EO-1/Hyperion to predict cornfield daily gross primary production Q. Zhang et al. 10.1016/j.rse.2016.08.026
49. Detecting Inter-Annual Variations in the Phenology of Evergreen Conifers Using Long-Term MODIS Vegetation Index Time Series L. Ulsig et al. 10.3390/rs9010049
50. Vineyard water status estimation using multispectral imagery from an UAV platform and machine learning algorithms for irrigation scheduling management M. Romero et al. 10.1016/j.compag.2018.02.013
51. Plant Growth and Soil Water Content Changes under Different Inter-Row Soil Management Methods in a Sloping Vineyard Á. Horel & T. Zsigmond 10.3390/plants12071549
52. Snow-corrected vegetation indices for improved gross primary productivity assessment in North American evergreen forests R. Wang et al. 10.1016/j.agrformet.2023.109600
53. Use of Non-Destructive Measurements to Identify Cucurbit Species (Cucurbita maxima and Cucurbita moschata) Tolerant to Waterlogged Conditions H. Lin et al. 10.3390/plants9091226
54. Testing of Automated Photochemical Reflectance Index Sensors as Proxy Measurements of Light Use Efficiency in an Aspen Forest S. Castro & A. Sanchez-Azofeifa 10.3390/s18103302
55. Assessing canopy structure effect on the estimation of light-use efficiency in a subtropical evergreen forest Z. QIAN et al. 10.31497/zrzyxb.20190314
56. Proximal remote sensing of tree physiology at northern treeline: Do late-season changes in the photochemical reflectance index (PRI) respond to climate or photoperiod? J. Eitel et al. 10.1016/j.rse.2018.11.022
57. Reviews and Syntheses: optical sampling of the flux tower footprint J. Gamon 10.5194/bg-12-4509-2015
58. In situ measurement of Scots pine needle PRI M. Mõttus et al. 10.1186/s13007-017-0184-4
59. Remote sensing of assimilating branch light use efficiency using the photochemical reflectance index inHaloxylon ammodendronforest M. Nyongesah et al. 10.1117/1.JRS.10.026017
60. Affecting Factors and Recent Improvements of the Photochemical Reflectance Index (PRI) for Remotely Sensing Foliar, Canopy and Ecosystemic Radiation-Use Efficiencies C. Zhang et al. 10.3390/rs8090677
61. Investigating Plant Response to Soil Characteristics and Slope Positions in a Small Catchment T. Zsigmond et al. 10.3390/land11060774
62. Changes in the Soil–Plant–Water System Due to Biochar Amendment Á. Horel & E. Tóth 10.3390/w13091216
63. Satellite sun‐induced chlorophyll fluorescence detects early response of winter wheat to heat stress in the Indian Indo‐Gangetic Plains L. Song et al. 10.1111/gcb.14302
64. Novel Remote Sensing Index of Electron Transport Rate Predicts Primary Production and Crop Health in L. sativa and Z. mays O. Liran et al. 10.3390/rs12111718
65. Accuracy Assessment of Photochemical Reflectance Index (PRI) and Chlorophyll Carotenoid Index (CCI) Derived from GCOM-C/SGLI with In Situ Data T. Sasagawa et al. 10.3390/rs14215352
66. Measurement of Diurnal Variation in Needle PRI and Shoot Photosynthesis in a Boreal Forest M. Mõttus et al. 10.3390/rs10071019
67. Comparing Phenology of a Temperate Deciduous Forest Captured by Solar-Induced Fluorescence and Vegetation Indices T. Merrick et al. 10.3390/rs15215101
68. Remotely sensed carotenoid dynamics improve modelling photosynthetic phenology in conifer and deciduous forests C. Wong et al. 10.1016/j.agrformet.2022.108977
69. Synthetic RapidEye data used for the detection of area-based spruce tree mortality induced by bark beetles H. Latifi et al. 10.1080/15481603.2018.1458463
70. Effects of drought on plant parameters of different rangeland types in Khansar region, Iran F. Hadian et al. 10.1007/s12517-019-4275-6
71. 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
72. Development of a filter-based near-surface remote sensing system to retrieve far-red sun-induced chlorophyll fluorescence J. Kim et al. 10.1016/j.rse.2022.113311
73. The Response of Spectral Vegetation Indices and Solar‐Induced Fluorescence to Changes in Illumination Intensity and Geometry in the Days Surrounding the 2017 North American Solar Eclipse C. Rogers et al. 10.1029/2020JG005774
74. Exploring plant responses to abiotic stress by contrasting spectral signature changes F. Estrada et al. 10.3389/fpls.2022.1026323
75. Remotely Sensed Water Limitation in Vegetation: Insights from an Experiment with Unmanned Aerial Vehicles (UAVs) K. Easterday et al. 10.3390/rs11161853
76. Canopy active fluorescence spectrum tracks ANPP changes upon irrigation treatments in soybean crop J. Romero et al. 10.1016/j.rse.2021.112525
77. Species and stand-age driven differences in photochemical reflectance index and light use efficiency across four temperate forests S. Lin et al. 10.1016/j.jag.2021.102308
78. Using the NDVI to analyze trends and stability of grassland vegetation cover in Inner Mongolia Q. Lu et al. 10.1007/s00704-018-2614-2
79. Remote sensing of terrestrial plant biodiversity R. Wang & J. Gamon 10.1016/j.rse.2019.111218
80. Parallel Seasonal Patterns of Photosynthesis, Fluorescence, and Reflectance Indices in Boreal Trees K. Springer et al. 10.3390/rs9070691
81. Goniometer in the air: Enabling BRDF measurement of crop canopies using a cable-suspended plant phenotyping platform G. Bai et al. 10.1016/j.biosystemseng.2023.04.017
82. Towards a standardized, ground-based network of hyperspectral measurements: Combining time series from autonomous field spectrometers with Sentinel-2 P. Naethe et al. 10.1016/j.rse.2024.114013
83. Analysis of the Vigor of Pinus hartwegii Lindl. along an Altitudinal Gradient Using UAV Multispectral Images: Evidence of Forest Decline Possibly Associated with Climatic Change J. Gallardo-Salazar et al. 10.3390/f14061176
84. Heat wave hinders green wave: The impact of climate extreme on the phenology of a mountain grassland E. Cremonese et al. 10.1016/j.agrformet.2017.08.016
85. Inverting the maximum carboxylation rate ( V cmax ) from the sunlit leaf photosynthesis rate derived from measured light response curves at tower flux sites T. Zheng et al. 10.1016/j.agrformet.2017.01.008
86. Modeling of Diurnal Changing Patterns in Airborne Crop Remote Sensing Images D. Ma et al. 10.3390/rs13091719
87. Detecting intra- and inter-annual variability in gross primary productivity of a North American grassland using MODIS MAIAC data R. Wang et al. 10.1016/j.agrformet.2019.107859
88. Does rice breeding affect the ability of plants to interact with earthworms in nutrient-depleted Ferralsols? O. Ratsiatosika et al. 10.1016/j.apsoil.2021.103958
89. Wavelength selection of the multispectral lidar system for estimating leaf chlorophyll and water contents through the PROSPECT model J. Sun et al. 10.1016/j.agrformet.2018.11.035
90. Which multispectral indices robustly measure canopy nitrogen across seasons: Lessons from an irrigated pasture crop M. Patel et al. 10.1016/j.compag.2021.106000
91. Relationship between physiological and biochemical measurements with spectral reflectance for two Phaseolus vulgaris L. genotypes under multiple stress B. Boshkovski et al. 10.1080/01431161.2020.1826061
92. Response of high frequency Photochemical Reflectance Index (PRI) measurements to environmental conditions in wheat T. Magney et al. 10.1016/j.rse.2015.11.013
93. Spectral determination of concentrations of functionally diverse pigments in increasingly complex arctic tundra canopies N. Boelman et al. 10.1007/s00442-016-3646-x
94. Explaining the variability of the photochemical reflectance index (PRI) at the canopy-scale: Disentangling the effects of phenological and physiological changes E. Merlier et al. 10.1016/j.jphotobiol.2015.08.006
95. The Study of Applicability to Fixed-field Sensor for Normalized Difference Vegetation Index (NDVI) Monitoring in Cultivation Area K. Lee et al. 10.7745/KJSSF.2015.48.6.593
96. Fractional Cover Mapping of Invasive Plant Species by Combining Very High-Resolution Stereo and Multi-Sensor Multispectral Imageries S. Khare et al. 10.3390/f10070540