Assessing a soil-removed semi-empirical model for estimating leaf chlorophyll content
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Assessing a soil-removed semi-empirical model for estimating leaf chlorophyll content
Authors
Keywords
-
Journal
REMOTE SENSING OF ENVIRONMENT
Volume 282, Issue -, Pages 113284
Publisher
Elsevier BV
Online
2022-09-27
DOI
10.1016/j.rse.2022.113284
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An assessment of background removal approaches for improved estimation of rice leaf nitrogen concentration with unmanned aerial vehicle multispectral imagery at various observation times
- (2022) Wenhui Wang et al. FIELD CROPS RESEARCH
- Exploring the interrelated effects of soil background, canopy structure and sun-observer geometry on canopy photochemical reflectance index
- (2022) Peiqi Yang REMOTE SENSING OF ENVIRONMENT
- Fine-scale leaf chlorophyll distribution across a deciduous forest through two-step model inversion from Sentinel-2 data
- (2021) Yingjie Li et al. REMOTE SENSING OF ENVIRONMENT
- Estimation of rice plant potassium accumulation based on non-negative matrix factorization using hyperspectral reflectance
- (2020) Jingshan Lu et al. PRECISION AGRICULTURE
- Improved estimation of leaf chlorophyll content of row crops from canopy reflectance spectra through minimizing canopy structural effects and optimizing off-noon observation time
- (2020) Dong Li et al. REMOTE SENSING OF ENVIRONMENT
- Soil moisture dominates dryness stress on ecosystem production globally
- (2020) Laibao Liu et al. Nature Communications
- Chlorophyll content estimation in an open-canopy conifer forest with Sentinel-2A and hyperspectral imagery in the context of forest decline
- (2019) P.J. Zarco-Tejada et al. REMOTE SENSING OF ENVIRONMENT
- Improved estimates of global terrestrial photosynthesis using information on leaf chlorophyll content
- (2019) Xiangzhong Luo et al. GLOBAL CHANGE BIOLOGY
- Retrieving leaf chlorophyll content using a matrix-based vegetation index combination approach
- (2019) Mingzhu Xu et al. REMOTE SENSING OF ENVIRONMENT
- Assessment of unified models for estimating leaf chlorophyll content across directional-hemispherical reflectance and bidirectional reflectance spectra
- (2019) Dong Li et al. REMOTE SENSING OF ENVIRONMENT
- The global distribution of leaf chlorophyll content
- (2019) H. Croft et al. REMOTE SENSING OF ENVIRONMENT
- The Advanced Hyperspectral Imager: Aboard China's GaoFen-5 Satellite
- (2019) Yin-Nian Liu et al. IEEE Geoscience and Remote Sensing Magazine
- PROCWT: Coupling PROSPECT with continuous wavelet transform to improve the retrieval of foliar chemistry from leaf bidirectional reflectance spectra
- (2018) Dong Li et al. REMOTE SENSING OF ENVIRONMENT
- Remote Sensing of Leaf and Canopy Nitrogen Status in Winter Wheat (Triticum aestivum L.) Based on N-PROSAIL Model
- (2018) Zhenhai Li et al. Remote Sensing
- Hyper-spectral estimation of wheat biomass after alleviating of soil effects on spectra by non-negative matrix factorization
- (2017) Yanli Li et al. EUROPEAN JOURNAL OF AGRONOMY
- Generic Algorithms for Estimating Foliar Pigment Content
- (2017) Anatoly Gitelson et al. GEOPHYSICAL RESEARCH LETTERS
- Leaf chlorophyll content as a proxy for leaf photosynthetic capacity
- (2017) Holly Croft et al. GLOBAL CHANGE BIOLOGY
- WREP: A wavelet-based technique for extracting the red edge position from reflectance spectra for estimating leaf and canopy chlorophyll contents of cereal crops
- (2017) Dong Li et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Estimating leaf chlorophyll content in sugar beet canopies using millimeter- to centimeter-scale reflectance imagery
- (2017) Sylvain Jay 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
- Near Real-Time Vegetation Monitoring at Global Scale
- (2014) Aleixandre Verger et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Development of a Novel Bidirectional Canopy Reflectance Model for Row-Planted Rice and Wheat
- (2014) Kai Zhou et al. Remote Sensing
- Estimating leaf carotenoid content in vineyards using high resolution hyperspectral imagery acquired from an unmanned aerial vehicle (UAV)
- (2013) P.J. Zarco-Tejada et al. AGRICULTURAL AND FOREST METEOROLOGY
- The applicability of empirical vegetation indices for determining leaf chlorophyll content over different leaf and canopy structures
- (2013) H. Croft et al. Ecological Complexity
- GEOV1: LAI and FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part1: Principles of development and production
- (2013) F. Baret et al. REMOTE SENSING OF ENVIRONMENT
- Retrieval of Leaf Biochemical Parameters Using PROSPECT Inversion: A New Approach for Alleviating Ill-Posed Problems
- (2011) Pingheng Li et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative transfer modeling
- (2011) Jean-Baptiste Féret et al. REMOTE SENSING OF ENVIRONMENT
- NEON: the first continental-scale ecological observatory with airborne remote sensing of vegetation canopy biochemistry and structure
- (2010) Thomas U. Kampe Journal of Applied Remote Sensing
- Inversion of a radiative transfer model for estimating vegetation LAI and chlorophyll in a heterogeneous grassland
- (2008) Roshanak Darvishzadeh et al. REMOTE SENSING OF ENVIRONMENT
- PROSPECT-4 and 5: Advances in the leaf optical properties model separating photosynthetic pigments
- (2008) Jean-Baptiste Feret et al. REMOTE SENSING OF ENVIRONMENT
- The impact of soil reflectance on the quantification of the green vegetation fraction from NDVI
- (2007) L MONTANDON et al. REMOTE SENSING OF ENVIRONMENT
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now