On the public citation graph
The Effect of Band Spectral Representativity on Crop Classification Based on Sentinel-2
0 signed · 25 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s11356-019-07216-1openalex-snapshot
Monitoring land cover change detection with NOAA-AVHRR and MODIS remotely sensed data in the North and West of Africa from 1982 to 2015
inferredcites →https://doi.org/10.1007/s12517-019-4354-8openalex-snapshot
Use of Landsat-8 OLI data for delineating fracture systems in subsoil regions: implications for groundwater prospection in the Waddai area, eastern Chad
inferredcites →https://doi.org/10.1007/s12524-020-01152-1openalex-snapshot
Application of Landsat 8 OLI for Mapping the Deccan Traps of Kachchh, Gujarat
inferredcites →https://doi.org/10.1007/s12524-020-01262-wopenalex-snapshot
Two-Level Band Selection Framework for Hyperspectral Image Classification
inferredcites →https://doi.org/10.1080/01431161.2021.1881184openalex-snapshot
Onsite age discrimination of an endangered medicinal and aromatic plant species Valeriana jatamansi using field hyperspectral remote sensing and machine learning techniques
inferredcites →https://doi.org/10.1080/10106049.2019.1704070openalex-snapshot
Application of deep learning with stratified K-fold for vegetation species discrimation in a protected mountainous region using Sentinel-2 image
inferredcites →https://doi.org/10.1080/15481603.2018.1550873openalex-snapshot
Use of principal components of UAV-acquired narrow-band multispectral imagery to map the diverse low stature vegetation fAPAR
inferredcites →https://doi.org/10.1080/17445647.2020.1780168openalex-snapshot
Geomorphology of the northeastern extreme of Isla Grande de Tierra del Fuego, Argentina
inferredcites →https://doi.org/10.1080/22797254.2020.1839359openalex-snapshot
Evaluation of Sentinel-2 vegetation indices for prediction of LAI, fAPAR and fCover of winter wheat in Bulgaria
inferredcites →https://doi.org/10.1109/lgrs.2005.848511openalex-snapshot
A Band Selection Technique for Spectral Classification
inferredcites →https://doi.org/10.1109/lgrs.2006.886429openalex-snapshot
Feature Extraction in Remote Sensing High-Dimensional Image Data
inferredcites →https://doi.org/10.19026/rjees.5.5687openalex-snapshot
Evaluation of Development and Changes in Land Use using Different Satellite Image Processing and Remote Sensing Techniques (Case Study: Kermanshah, Iran)
inferredcites →https://doi.org/10.22034/gjesm.2020.01.08openalex-snapshot
Narrow band based and broadband derived vegetation indices using Sentinel-2 Imagery to estimate vegetation biomass
inferredcites →https://doi.org/10.25165/j.ijabe.20191203.4325openalex-snapshot
Spectral difference analysis and identification of different maturity blueberry fruit based on hyperspectral imaging using spectral index
inferredcites →https://doi.org/10.3390/f11111234openalex-snapshot
Mapping Tree Species Deciduousness of Tropical Dry Forests Combining Reflectance, Spectral Unmixing, and Texture Data from High-Resolution Imagery
inferredcites →https://doi.org/10.3390/ijgi9110648openalex-snapshot
An Unsupervised Crop Classification Method Based on Principal Components Isometric Binning
inferredcites →https://doi.org/10.3390/rs10101642openalex-snapshot
Synergistic Use of Radar Sentinel-1 and Optical Sentinel-2 Imagery for Crop Mapping: A Case Study for Belgium
inferredcites →https://doi.org/10.3390/rs11222599openalex-snapshot
Optimal Input Features for Tree Species Classification in Central Europe Based on Multi-Temporal Sentinel-2 Data
inferredcites →https://doi.org/10.3390/rs11232807openalex-snapshot
Improved Mapping of Mountain Shrublands Using the Sentinel-2 Red-Edge Band
inferredcites →https://doi.org/10.3390/rs12233878openalex-snapshot
Evaluating the Impact of the 2020 Iowa Derecho on Corn and Soybean Fields Using Synthetic Aperture Radar
inferredcites →https://doi.org/10.3390/rs13040586openalex-snapshot
Machine Learning Classification of Mediterranean Forest Habitats in Google Earth Engine Based on Seasonal Sentinel-2 Time-Series and Input Image Composition Optimisation
inferredcites →https://doi.org/10.3390/rs13071349openalex-snapshot
Performance Evaluation of Sentinel-2 and Landsat 8 OLI Data for Land Cover/Use Classification Using a Comparison between Machine Learning Algorithms
inferredcites →https://doi.org/10.3390/rs13081481openalex-snapshot
National Mapping of New Zealand Pasture Productivity Using Temporal Sentinel-2 Data
inferredcites →https://doi.org/10.54386/jam.v21i4.284openalex-snapshot
Damage assessment of chilli thrips using high resolution multispectral satellite data
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.