Cargando…

Best hyperspectral indices for assessing leaf chlorophyll content in a degraded temperate vegetation

Extensive studies have focused on assessing leaf chlorophyll content through spectral indices; however, the accuracy is weakened by limited wavebands and coarse resolution. With hundreds of wavebands, hyperspectral data can substantially capture the essential absorption features of leaf chlorophyll;...

Descripción completa

Detalles Bibliográficos
Autores principales:	Peng, Yu, Fan, Min, Wang, Qinghui, Lan, Wenjuan, Long, Yating
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2018
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6065332/ https://www.ncbi.nlm.nih.gov/pubmed/30073068 http://dx.doi.org/10.1002/ece3.4229

Ejemplares similares

Off-Nadir Hyperspectral Sensing for Estimation of Vertical Profile of Leaf Chlorophyll Content within Wheat Canopies
por: Kong, Weiping, et al.
Publicado: (2017)

Non-Destructive Detection of Tea Leaf Chlorophyll Content Using Hyperspectral Reflectance and Machine Learning Algorithms
por: Sonobe, Rei, et al.
Publicado: (2020)

Mapping leaf metal content over industrial brownfields using airborne hyperspectral imaging and optimized vegetation indices
por: Lassalle, Guillaume, et al.
Publicado: (2021)

Estimation of leaf nutrition status in degraded vegetation based on field survey and hyperspectral data
por: Peng, Yu, et al.
Publicado: (2020)

High throughput analysis of leaf chlorophyll content in sorghum using RGB, hyperspectral, and fluorescence imaging and sensor fusion
por: Zhang, Huichun, et al.
Publicado: (2022)

A Photosynthetic Light Acclimation Model Accounting for the Effects of Leaf Age, Chlorophyll Content, and Intra-Leaf Radiation Transfer
por: Graefe, Jan, et al.
Publicado: (2022)

Reflectance Variation within the In-Chlorophyll Centre Waveband for Robust Retrieval of Leaf Chlorophyll Content
por: Zhang, Jing, et al.
Publicado: (2014)

Inversion modeling of japonica rice canopy chlorophyll content with UAV hyperspectral remote sensing
por: Cao, Yingli, et al.
Publicado: (2020)

Hyperspectral Estimation Models of Winter Wheat Chlorophyll Content Under Elevated CO(2)
por: Cai, Yao, et al.
Publicado: (2021)

Combining Hyperspectral Reflectance Indices and Multivariate Analysis to Estimate Different Units of Chlorophyll Content of Spring Wheat under Salinity Conditions
por: El-Hendawy, Salah, et al.
Publicado: (2022)

Estimating Chlorophyll Content of Leafy Green Vegetables from Adaxial and Abaxial Reflectance
por: Lu, Fan, et al.
Publicado: (2019)

Evaluation of Hyperspectral Indices for Chlorophyll-a Concentration Estimation in Tangxun Lake (Wuhan, China)
por: Huang, Yaohuan, et al.
Publicado: (2010)

Effects of Ground Subsidence on Vegetation Chlorophyll Content in Semi-Arid Mining Area: From Leaf Scale to Canopy Scale
por: Yang, Xingchen, et al.
Publicado: (2022)

Evaluating Hyperspectral Vegetation Indices for Leaf Area Index Estimation of Oryza sativa L. at Diverse Phenological Stages
por: Din, Mairaj, et al.
Publicado: (2017)

Hyperspectral Analysis of Leaf Pigments and Nutritional Elements in Tallgrass Prairie Vegetation
por: Ling, Bohua, et al.
Publicado: (2019)

Estimation of vegetation water content using hyperspectral vegetation indices: a comparison of crop water indicators in response to water stress treatments for summer maize
por: Zhang, F., et al.
Publicado: (2019)

Rapid Quantification of Microalgae Growth with Hyperspectral Camera and Vegetation Indices
por: Salmi, Pauliina, et al.
Publicado: (2021)

Dissection of hyperspectral reflectance to estimate nitrogen and chlorophyll contents in tea leaves based on machine learning algorithms
por: Yamashita, Hiroto, et al.
Publicado: (2020)

Hyperspectral estimation of chlorophyll content in jujube leaves: integration of derivative processing techniques and dimensionality reduction algorithms
por: Tuerxun, Nigela, et al.
Publicado: (2023)

The impact of variable illumination on vegetation indices and evaluation of illumination correction methods on chlorophyll content estimation using UAV imagery
por: Wang, Yuxiang, et al.
Publicado: (2023)

The Use of Chlorophyl in Vegetable Growth
Publicado: (1881)

Functional Hyperspectral Imaging by High-Related Vegetation Indices to Track the Wide-Spectrum Trichoderma Biocontrol Activity Against Soil-Borne Diseases of Baby-Leaf Vegetables
por: Manganiello, Gelsomina, et al.
Publicado: (2021)

Machine Learning Strategies for the Retrieval of Leaf-Chlorophyll Dynamics: Model Choice, Sequential Versus Retraining Learning, and Hyperspectral Predictors
por: Angel, Yoseline, et al.
Publicado: (2022)

Correction: The impact of variable illumination on vegetation indices and evaluation of illumination correction methods on chlorophyll content estimation using UAV imagery
por: Wang, Yuxiang, et al.
Publicado: (2023)

Anthocyanin Degrading and Chlorophyll Accumulation Lead to the Formation of Bicolor Leaf in Ornamental Kale
por: Ren, Jie, et al.
Publicado: (2019)

Spectroscopic determination of leaf chlorophyll content and color for genetic selection on Sassafras tzumu
por: Li, Yanjie, et al.
Publicado: (2019)

The Purple Leaf (pl6) Mutation Regulates Leaf Color by Altering the Anthocyanin and Chlorophyll Contents in Rice
por: Khan, Asadullah, et al.
Publicado: (2020)

Chlorophyll content estimation in an open-canopy conifer forest with Sentinel-2A and hyperspectral imagery in the context of forest decline
por: Zarco-Tejada, P.J., et al.
Publicado: (2019)

Biangular-Combined Vegetation Indices to Improve the Estimation of Canopy Chlorophyll Content in Wheat Using Multi-Angle Experimental and Simulated Spectral Data
por: Kong, Weiping, et al.
Publicado: (2022)

Inversion of chlorophyll content under the stress of leaf mite for jujube based on model PSO-ELM method
por: Lu, Jianqiang, et al.
Publicado: (2022)

Hyperspectral Imaging for Determining Pigment Contents in Cucumber Leaves in Response to Angular Leaf Spot Disease
por: Zhao, Yan-Ru, et al.
Publicado: (2016)

Identification of Early Heat and Water Stress in Strawberry Plants Using Chlorophyll-Fluorescence Indices Extracted via Hyperspectral Images
por: Poobalasubramanian, Mangalraj, et al.
Publicado: (2022)

Estimation of leaf water content from hyperspectral data of different plant species by using three new spectral absorption indices
por: Li, Hong, et al.
Publicado: (2021)

Leaf Chlorophyll Content Estimation of Winter Wheat Based on Visible and Near-Infrared Sensors
por: Zhang, Jianfeng, et al.
Publicado: (2016)

Plant Leaf Chlorophyll Content Retrieval Based on a Field Imaging Spectroscopy System
por: Liu, Bo, et al.
Publicado: (2014)

Use of Hyperspectral Reflectance Sensing for Assessing Growth and Chlorophyll Content of Spring Wheat Grown under Simulated Saline Field Conditions
por: El-Hendawy, Salah, et al.
Publicado: (2021)

Combining novel feature selection strategy and hyperspectral vegetation indices to predict crop yield
por: Fei, Shuaipeng, et al.
Publicado: (2022)

THE CHLOROPHYLL-PROTEIN COMPOUND OF THE GREEN LEAF
por: Smith, Emil L.
Publicado: (1941)

A robust vegetation index for remotely assessing chlorophyll content of dorsiventral leaves across several species in different seasons
por: Lu, Shan, et al.
Publicado: (2018)

Identification of plant leaf phosphorus content at different growth stages based on hyperspectral reflectance
por: Siedliska, Anna, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_0mv6rshqe6sc0cseup648e8ua8