Combining transfer learning and hyperspectral reflectance analysis to assess leaf nitrogen concentration across different plant species datasets
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Title
Combining transfer learning and hyperspectral reflectance analysis to assess leaf nitrogen concentration across different plant species datasets
Authors
Keywords
Hyperspectral reflectance, Leaf nitrogen concentration (%), Spectral diversity, Transfer learning, Model updating, Partial least squares regression
Journal
REMOTE SENSING OF ENVIRONMENT
Volume 269, Issue -, Pages 112826
Publisher
Elsevier BV
Online
2021-12-01
DOI
10.1016/j.rse.2021.112826
References
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Note: Only part of the references are listed.- Hyperspectral imagery to monitor crop nutrient status within and across growing seasons
- (2021) Nanfeng Liu et al. REMOTE SENSING OF ENVIRONMENT
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- A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regression
- (2021) Angela C Burnett et al. JOURNAL OF EXPERIMENTAL BOTANY
- Foliar functional traits from imaging spectroscopy across biomes in eastern North America
- (2020) Zhihui Wang et al. NEW PHYTOLOGIST
- Deep learning in environmental remote sensing: Achievements and challenges
- (2020) Qiangqiang Yuan et al. REMOTE SENSING OF ENVIRONMENT
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- (2020) Katja Berger et al. REMOTE SENSING OF ENVIRONMENT
- Grain yield prediction of rice using multi-temporal UAV-based RGB and multispectral images and model transfer – a case study of small farmlands in the South of China
- (2020) Liang Wan et al. AGRICULTURAL AND FOREST METEOROLOGY
- Retrieval of aboveground crop nitrogen content with a hybrid machine learning method
- (2020) Katja Berger et al. International Journal of Applied Earth Observation and Geoinformation
- Mapping canopy nitrogen in European forests using remote sensing and environmental variables with the random forests method
- (2020) Yasmina Loozen et al. REMOTE SENSING OF ENVIRONMENT
- PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents
- (2020) Jean-Baptiste Féret et al. REMOTE SENSING OF ENVIRONMENT
- Nutrient Status Diagnosis of Infield Oilseed Rape via Deep Learning-Enabled Dynamic Model
- (2020) Alwaseela Abdalla et al. IEEE Transactions on Industrial Informatics
- Earth system models underestimate carbon fixation by plants in the high latitudes
- (2019) Alexander J. Winkler et al. Nature Communications
- Dynamic monitoring of biomass of rice under different nitrogen treatments using a lightweight UAV with dual image-frame snapshot cameras
- (2019) Haiyan Cen et al. Plant Methods
- Spectroscopy can predict key leaf traits associated with source–sink balance and carbon–nitrogen status
- (2019) Kim S Ely et al. JOURNAL OF EXPERIMENTAL BOTANY
- Variability and Uncertainty Challenges in Scaling Imaging Spectroscopy Retrievals and Validations from Leaves Up to Vegetation Canopies
- (2019) Zbyněk Malenovský et al. SURVEYS IN GEOPHYSICS
- Transfer learning for neural network model in chlorophyll-a dynamics prediction
- (2019) Wenchong Tian et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Improving air quality prediction accuracy at larger temporal resolutions using deep learning and transfer learning techniques
- (2019) Jun Ma et al. ATMOSPHERIC ENVIRONMENT
- Monitoring drought using composite drought indices based on remote sensing
- (2019) Qi Liu et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Mapping forest canopy nitrogen content by inversion of coupled leaf-canopy radiative transfer models from airborne hyperspectral imagery
- (2018) Zhihui Wang et al. AGRICULTURAL AND FOREST METEOROLOGY
- Improved nitrogen retrievals with airborne-derived fluorescence and plant traits quantified from VNIR-SWIR hyperspectral imagery in the context of precision agriculture
- (2018) Carlos Camino et al. International Journal of Applied Earth Observation and Geoinformation
- Plant carbon metabolism and climate change: elevated CO2 and temperature impacts on photosynthesis, photorespiration and respiration
- (2018) Mirindi Eric Dusenge et al. NEW PHYTOLOGIST
- Exploiting the centimeter resolution of UAV multispectral imagery to improve remote-sensing estimates of canopy structure and biochemistry in sugar beet crops
- (2018) Sylvain Jay et al. REMOTE SENSING OF ENVIRONMENT
- Estimating leaf mass per area and equivalent water thickness based on leaf optical properties: Potential and limitations of physical modeling and machine learning
- (2018) J.-B. Féret et al. REMOTE SENSING OF ENVIRONMENT
- Retrieving LAI, chlorophyll and nitrogen contents in sugar beet crops from multi-angular optical remote sensing: Comparison of vegetation indices and PROSAIL inversion for field phenotyping
- (2017) Sylvain Jay et al. FIELD CROPS RESEARCH
- Terrestrial biosphere models underestimate photosynthetic capacity and CO2 assimilation in the Arctic
- (2017) Alistair Rogers et al. NEW PHYTOLOGIST
- Estimation of photosynthesis traits from leaf reflectance spectra: Correlation to nitrogen content as the dominant mechanism
- (2017) Benjamin Dechant et al. REMOTE SENSING OF ENVIRONMENT
- PROSPECT-D: Towards modeling leaf optical properties through a complete lifecycle
- (2017) J.-B. Féret et al. REMOTE SENSING OF ENVIRONMENT
- High-Throughput Phenotyping of Maize Leaf Physiological and Biochemical Traits Using Hyperspectral Reflectance
- (2016) Craig R. Yendrek et al. PLANT PHYSIOLOGY
- Improved remote sensing of leaf nitrogen concentration in winter wheat using multi-angular hyperspectral data
- (2016) Li He et al. REMOTE SENSING OF ENVIRONMENT
- Linking seasonal foliar traits to VSWIR-TIR spectroscopy across California ecosystems
- (2016) Susan K. Meerdink et al. REMOTE SENSING OF ENVIRONMENT
- Leaf Nitrogen Content Indirectly Estimated by Leaf Traits Derived From the PROSPECT Model
- (2015) Zhihui Wang et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Leaf nitrogen spectral reflectance model of winter wheat (Triticum aestivum) based on PROSPECT: simulation and inversion
- (2015) Guijun Yang et al. Journal of Applied Remote Sensing
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Multi-method ensemble selection of spectral bands related to leaf biochemistry
- (2015) Hannes Feilhauer et al. REMOTE SENSING OF ENVIRONMENT
- The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation
- (2015) Luis Guanter et al. Remote Sensing
- Discrete Anisotropic Radiative Transfer (DART 5) for Modeling Airborne and Satellite Spectroradiometer and LIDAR Acquisitions of Natural and Urban Landscapes
- (2015) Jean-Philippe Gastellu-Etchegorry et al. Remote Sensing
- Spectroscopic determination of leaf morphological and biochemical traits for northern temperate and boreal tree species
- (2014) Shawn P. Serbin et al. ECOLOGICAL APPLICATIONS
- Field spectroscopy for weed detection in wheat and chickpea fields
- (2013) Uri Shapira et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and -3
- (2012) J.G.P.W. Clevers et al. International Journal of Applied Earth Observation and Geoinformation
- Hyperspectral remote sensing of foliar nitrogen content
- (2012) Y. Knyazikhin et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- LIBSVM
- (2012) Chih-Chung Chang et al. ACM Transactions on Intelligent Systems and Technology
- SWIR-based spectral indices for assessing nitrogen content in potato fields
- (2010) I. Herrmann et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Sources of variability in canopy reflectance and the convergent properties of plants
- (2010) S. V. Ollinger NEW PHYTOLOGIST
- Assessment of nutrient use in annual and perennial crops: A functional concept for analyzing nitrogen use efficiency
- (2010) Martin Weih et al. PLANT AND SOIL
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Retrieval of foliar information about plant pigment systems from high resolution spectroscopy
- (2009) Susan L. Ustin et al. REMOTE SENSING OF ENVIRONMENT
- PROSPECT+SAIL models: A review of use for vegetation characterization
- (2009) Stéphane Jacquemoud et al. REMOTE SENSING OF ENVIRONMENT
- Canopy nitrogen, carbon assimilation, and albedo in temperate and boreal forests: Functional relations and potential climate feedbacks
- (2008) S. V. Ollinger et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- PROSPECT-4 and 5: Advances in the leaf optical properties model separating photosynthetic pigments
- (2008) Jean-Baptiste Feret et al. REMOTE SENSING OF ENVIRONMENT
- Spectral and chemical analysis of tropical forests: Scaling from leaf to canopy levels
- (2008) G ASNER et al. REMOTE SENSING OF ENVIRONMENT
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