Hyperspectral remote sensing of foliar nitrogen content.
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Evaluation of hyperspectral LiDAR for monitoring rice leaf nitrogen by comparison with multispectral LiDAR and passive spectrometerSeasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest.Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence.Leaf chlorophyll content as a proxy for leaf photosynthetic capacity.Remotely-sensed indicators of N-related biomass allocation in Schoenoplectus acutusMonitoring plant functional diversity from space.Remote sensing of canopy chemistry.Predicting leaf traits of herbaceous species from their spectral characteristics.Canopy near-infrared reflectance and terrestrial photosynthesis.Plant functional traits and canopy structure control the relationship between photosynthetic CO2 uptake and far-red sun-induced fluorescence in a Mediterranean grassland under different nutrient availability.Imaging spectroscopy algorithms for mapping canopy foliar chemical and morphological traits and their uncertainties.Analyses of Impact of Needle Surface Properties on Estimation of Needle Absorption Spectrum: Case Study with Coniferous Needle and Shoot Samples.Estimation of leaf area index and its sunlit portion from DSCOVR EPIC data: Theoretical basis.The spectral invariant approximation within canopy radiative transfer to support the use of the EPIC/DSCOVR oxygen B-band for monitoring vegetation.Spatial Variation of Leaf Optical Properties in a Boreal Forest Is Influenced by Species and Light EnvironmentQuantitative characterization of clumping in Scots pine crownsReply to Ollinger et al.: Remote sensing of leaf nitrogen and emergent ecosystem properties.Nitrogen cycling, forest canopy reflectance, and emergent properties of ecosystems.Disentangling the contribution of biological and physical properties of leaves and canopies in imaging spectroscopy data.Reply to Townsend et al.: Decoupling contributions from canopy structure and leaf optics is critical for remote sensing leaf biochemistry.A global assessment of forest surface albedo and its relationships with climate and atmospheric nitrogen deposition.A genome-wide identification of chromosomal regions determining nitrogen use efficiency components in wheat (Triticum aestivum L.).Associations of Leaf Spectra with Genetic and Phylogenetic Variation in Oaks: Prospects for Remote Detection of BiodiversityAnalysis of Different Hyperspectral Variables for Diagnosing Leaf Nitrogen Accumulation in Wheat.FluoSpec 2-An Automated Field Spectroscopy System to Monitor Canopy Solar-Induced FluorescenceUnderstanding Forest Health with Remote Sensing -Part I—A Review of Spectral Traits, Processes and Remote-Sensing CharacteristicsTrait Estimation in Herbaceous Plant Assemblages from in situ Canopy SpectraPrototyping of LAI and FPAR Retrievals from MODIS Multi-Angle Implementation of Atmospheric Correction (MAIAC) DataA Hybrid Model for Mapping Relative Differences in Belowground Biomass and Root: Shoot Ratios Using Spectral Reflectance, Foliar N and Plant Biophysical Data within Coastal MarshVegetation Indices for Mapping Canopy Foliar Nitrogen in a Mixed Temperate ForestImaging spectroscopy- and lidar-derived estimates of canopy composition and structure to improve predictions of forest carbon fluxes and ecosystem dynamicsEarth Observations from DSCOVR/EPIC InstrumentEstimation of area- and mass-based leaf nitrogen contents of wheat and rice crops from water-removed spectra using continuous wavelet analysis
P2860
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P2860
Hyperspectral remote sensing of foliar nitrogen content.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Hyperspectral remote sensing of foliar nitrogen content.
@ast
Hyperspectral remote sensing of foliar nitrogen content.
@en
type
label
Hyperspectral remote sensing of foliar nitrogen content.
@ast
Hyperspectral remote sensing of foliar nitrogen content.
@en
prefLabel
Hyperspectral remote sensing of foliar nitrogen content.
@ast
Hyperspectral remote sensing of foliar nitrogen content.
@en
P2093
P2860
P50
P356
P1476
Hyperspectral remote sensing of foliar nitrogen content
@en
P2093
Alexander Marshak
Anthony B Davis
Mathias I Disney
Mitchell A Schull
Pauline Stenberg
Pedro Latorre Carmona
Robert K Kaufmann
Vern Vanderbilt
Yuri Knyazikhin
P2860
P304
P356
10.1073/PNAS.1210196109
P407
P50
P577
2012-12-04T00:00:00Z