On the public citation graph

The Role of a Novel Normalized Dynamically Adjusted Vegetation Index (Ndavi) Based on Remotely Sensed Absorption Coefficient for Estimating Crop Fapar: A Case Study of Rice (Oryza Sativa L.)

https://doi.org/10.2139/ssrn.4837882
0 signed · 66 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s11119-014-9349-6openalex-extracted
Methodology for measuring fAPAR in crops using a combination of active optical and linear irradiance sensors: a case study in Triticale (X Triticosecale Wittmack)
inferredcites →https://doi.org/10.1007/s11119-023-10068-yopenalex-extracted
Remote sensing of rice phenology and physiology via absorption coefficient derived from unmanned aerial vehicle imaging
inferredcites →https://doi.org/10.1007/s11120-021-00863-xopenalex-extracted
An insight into spectral composition of light available for photosynthesis via remotely assessed absorption coefficient at leaf and canopy levels
inferredcites →https://doi.org/10.1016/0002-1571(83)90030-4openalex-extracted
Assessing the interception of photosynthetically active radiation in winter wheat
inferredcites →https://doi.org/10.1016/0034-4257(85)90096-3openalex-extracted
Spectral estimation of absorbed photosynthetically active radiation in corn canopies
inferredcites →https://doi.org/10.1016/0034-4257(89)90069-2openalex-extracted
Remote sensing of foliar chemistry
inferredcites →https://doi.org/10.1016/0034-4257(92)90132-4openalex-extracted
Spectral estimates of absorbed radiation and phytomass production in corn and soybean canopies
inferredcites →https://doi.org/10.1016/0034-4257(94)90016-7openalex-extracted
On the relationship between FAPAR and NDVI
inferredcites →https://doi.org/10.1016/0034-4257(95)00186-7openalex-extracted
Optimization of soil-adjusted vegetation indices
inferredcites →https://doi.org/10.1016/j.agrformet.2010.07.011openalex-extracted
On the bias of instantaneous FAPAR estimates in open-canopy forests
inferredcites →https://doi.org/10.1016/j.agrformet.2014.08.006openalex-extracted
Estimation of LAI, fAPAR and fCover of Sahel rangelands (Gourma, Mali)
inferredcites →https://doi.org/10.1016/j.agrformet.2020.108273openalex-extracted
Critical analysis of methods to estimate the fraction of absorbed or intercepted photosynthetically active radiation from ground measurements: Application to rice crops
inferredcites →https://doi.org/10.1016/j.biosystemseng.2015.03.004openalex-extracted
Modelling of fraction of absorbed photosynthetically active radiation in vegetation canopy and its validation
inferredcites →https://doi.org/10.1016/j.chnaes.2015.12.003openalex-extracted
Sensitivity analysis of retrieving fraction of absorbed photosynthetically active radiation (FPAR) using remote sensing data
inferredcites →https://doi.org/10.1016/j.ecolind.2014.06.017openalex-extracted
A simple method to simulate diurnal courses of PAR absorbed by grassy canopy
inferredcites →https://doi.org/10.1016/j.eja.2016.10.006openalex-extracted
Differences in the impacts of nighttime warming on crop growth of rice-based cropping systems under field conditions
inferredcites →https://doi.org/10.1016/j.fcr.2017.05.005openalex-extracted
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
inferredcites →https://doi.org/10.1016/j.isprsjprs.2018.09.008openalex-extracted
UAV-based multispectral remote sensing for precision agriculture: A comparison between different cameras
inferredcites →https://doi.org/10.1016/j.jag.2015.02.012openalex-extracted
Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley
inferredcites →https://doi.org/10.1016/j.jag.2021.102407openalex-extracted
Modeling of winter wheat fAPAR by integrating Unmanned Aircraft Vehicle-based optical, structural and thermal measurement
inferredcites →https://doi.org/10.1016/j.jphotobiol.2017.11.023openalex-extracted
Non-invasive quantification of foliar pigments: Possibilities and limitations of reflectance- and absorbance-based approaches
inferredcites →https://doi.org/10.1016/j.jplph.2020.153277openalex-extracted
Foliar absorption coefficient derived from reflectance spectra: A gauge of the efficiency of in situ light-capture by different pigment groups
inferredcites →https://doi.org/10.1016/j.rse.2003.11.008openalex-extracted
Satellite-based modeling of gross primary production in an evergreen needleleaf forest
inferredcites →https://doi.org/10.1016/j.rse.2004.04.009openalex-extracted
Evaluation of MODIS LAI, fAPAR and the relation between fAPAR and NDVI in a semi-arid environment using in situ measurements
inferredcites →https://doi.org/10.1016/j.rse.2008.06.006openalex-extracted
Development of a two-band enhanced vegetation index without a blue band
inferredcites →https://doi.org/10.1016/j.rse.2014.02.014openalex-extracted
Relationship between fraction of radiation absorbed by photosynthesizing maize and soybean canopies and NDVI from remotely sensed data taken at close range and from MODIS 250m resolution data
inferredcites →https://doi.org/10.1016/j.rse.2019.111276openalex-extracted
Derivation of canopy light absorption coefficient from reflectance spectra
inferredcites →https://doi.org/10.1016/j.rse.2019.111310openalex-extracted
Validation of Sentinel-2 fAPAR products using ground observations across three forest ecosystems
inferredcites →https://doi.org/10.1016/j.rse.2021.112453openalex-extracted
Crop specific algorithms trained over ground measurements provide the best performance for GAI and fAPAR estimates from Landsat-8 observations
inferredcites →https://doi.org/10.1016/j.tplants.2018.11.007openalex-extracted
Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture
inferredcites →https://doi.org/10.1016/s0034-4257(02)00018-4openalex-extracted
Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture
inferredcites →https://doi.org/10.1016/s0034-4257(96)00072-7openalex-extracted
Use of a green channel in remote sensing of global vegetation from EOS-MODIS
inferredcites →https://doi.org/10.1016/s0034-4257(99)00056-5openalex-extracted
Direct and Indirect Estimation of Leaf Area Index, fAPAR, and Net Primary Production of Terrestrial Ecosystems
inferredcites →https://doi.org/10.1016/s0167-8809(02)00034-8openalex-extracted
A new crop yield forecasting model based on satellite measurements applied across the Indus Basin, Pakistan
inferredcites →https://doi.org/10.1016/s1360-1385(96)80019-7openalex-extracted
The role of xanthophyll cycle carotenoids in the protection of photosynthesis
inferredcites →https://doi.org/10.1029/2004jc002419openalex-extracted
Natural variability of phytoplanktonic absorption in oceanic waters: Influence of the size structure of algal populations
inferredcites →https://doi.org/10.1029/2005gl023647openalex-extracted
New developments in the remote estimation of the fraction of absorbed photosynthetically active radiation in crops
inferredcites →https://doi.org/10.1029/2009jg001119openalex-extracted
Carbon cycle data assimilation with a generic phenology model
inferredcites →https://doi.org/10.1029/92jd02189openalex-extracted
Satellite remote sensing of surface energy balance: Success, failures, and unresolved issues in FIFE
inferredcites →https://doi.org/10.1078/0176-1617-00887openalex-extracted
Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves
inferredcites →https://doi.org/10.1078/0176-1617-01176openalex-extracted
Wide Dynamic Range Vegetation Index for Remote Quantification of Biophysical Characteristics of Vegetation
inferredcites →https://doi.org/10.1080/00380768.1977.10433026openalex-extracted
Effects of air temperature and light on grain filling of an indica and a japonica rice (Oryza sativaL.) under controlled environmental conditions
inferredcites →https://doi.org/10.1080/0143116042000274015openalex-extracted
The MERIS terrestrial chlorophyll index
inferredcites →https://doi.org/10.1080/15481603.2018.1550873openalex-extracted
Use of principal components of UAV-acquired narrow-band multispectral imagery to map the diverse low stature vegetation fAPAR
inferredcites →https://doi.org/10.1080/2150704x.2018.1547445openalex-extracted
Remote estimation of fraction of radiation absorbed by photosynthetically active vegetation: generic algorithm for maize and soybean
inferredcites →https://doi.org/10.1109/36.544559openalex-extracted
Canopy architecture and remote sensing of the fraction of photosynthetically active radiation absorbed by boreal conifer forests
inferredcites →https://doi.org/10.1109/jstars.2023.3264802openalex-extracted
HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Images
inferredcites →https://doi.org/10.1109/tgrs.2019.2907932openalex-extracted
Deep Learning for Hyperspectral Image Classification: An Overview
inferredcites →https://doi.org/10.1109/tgrs.2020.3044061openalex-extracted
An Optical–Thermal Surface–Atmosphere Radiative Transfer Model Coupling Framework With Topographic Effects
inferredcites →https://doi.org/10.1111/gcb.16511openalex-extracted
Environmental controls on the light use efficiency of terrestrial gross primary production
inferredcites →https://doi.org/10.1111/j.1399-3054.2012.01597.xopenalex-extracted
Rubisco activity is associated with photosynthetic thermotolerance in a wild rice (Oryza meridionalis)
inferredcites →https://doi.org/10.1111/nph.12039openalex-extracted
An algorithm to derive the fraction of photosynthetically active radiation absorbed by photosynthetic elements of the canopy ( FAPAR ps) from eddy covariance flux tower data
inferredcites →https://doi.org/10.1111/ppl.12838openalex-extracted
Photosynthetic characteristics of non‐foliar organs in main C3 cereals
inferredcites →https://doi.org/10.1126/science.1070721openalex-extracted
The Cereal of the World's Poor Takes Center Stage
inferredcites →https://doi.org/10.1186/s13007-019-0507-8openalex-extracted
Remote estimation of rice LAI based on Fourier spectrum texture from UAV image
inferredcites →https://doi.org/10.2135/cropsci1971.0011183x001100040006xopenalex-extracted
Leaf Angles, Leaf Area, and Canopy Photosynthesis1
inferredcites →https://doi.org/10.2307/2401901openalex-extracted
Solar Radiation and Productivity in Tropical Ecosystems
inferredcites →https://doi.org/10.3389/fpls.2018.00776openalex-extracted
Remotely Assessing Fraction of Photosynthetically Active Radiation (FPAR) for Wheat Canopies Based on Hyperspectral Vegetation Indexes
inferredcites →https://doi.org/10.3389/fpls.2021.740414openalex-extracted
Identification of High Nitrogen Use Efficiency Phenotype in Rice (Oryza sativa L.) Through Entire Growth Duration by Unmanned Aerial Vehicle Multispectral Imagery
inferredcites →https://doi.org/10.3390/f13122122openalex-extracted
Rapid Estimation of Decameter FPAR from Sentinel-2 Imagery on the Google Earth Engine
inferredcites →https://doi.org/10.3390/rs11070890openalex-extracted
UAV-Based Biomass Estimation for Rice-Combining Spectral, TIN-Based Structural and Meteorological Features
inferredcites →https://doi.org/10.3390/rs13153001openalex-extracted
Combining Spectral and Texture Features of UAV Images for the Remote Estimation of Rice LAI throughout the Entire Growing Season
inferredcites →https://doi.org/10.3390/rs14041019openalex-extracted
Phenotypic Traits Estimation and Preliminary Yield Assessment in Different Phenophases of Wheat Breeding Experiment Based on UAV Multispectral Images
inferredcites →https://doi.org/10.3390/rs5010274openalex-extracted
A Novel in Situ FPAR Measurement Method for Low Canopy Vegetation Based on a Digital Camera and Reference Panel
inferredcites →https://doi.org/10.34133/plantphenomics.0056openalex-extracted
Estimation of Rice Aboveground Biomass by UAV Imagery with Photosynthetic Accumulation Models
inferredcites →https://doi.org/10.5194/bg-9-3173-2012openalex-extracted
Consistent assimilation of MERIS FAPAR and atmospheric CO 2 into a terrestrial vegetation model and interactive mission benefit analysis
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.