On the public citation graph

Forest Fire Scar Mapping Based on Modified Image Super-Resolution Reconstruction Via Sparse Representation

https://doi.org/10.2139/ssrn.4800295
0 signed · 44 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1016/j.isprsjprs.2009.12.004openalex-extracted
Bias-corrected rational polynomial coefficients for high accuracy geo-positioning of QuickBird stereo imagery
inferredcites →https://doi.org/10.1016/j.isprsjprs.2015.05.009openalex-extracted
Improved capabilities of the Chinese high-resolution remote sensing satellite GF-1 for monitoring suspended particulate matter (SPM) in inland waters: Radiometric and spatial considerations
inferredcites →https://doi.org/10.1016/j.isprsjprs.2020.11.023openalex-extracted
Spruce budworm tree host species distribution and abundance mapping using multi-temporal Sentinel-1 and Sentinel-2 satellite imagery
inferredcites →https://doi.org/10.1016/j.isprsjprs.2021.01.023openalex-extracted
A geographic information-driven method and a new large scale dataset for remote sensing cloud/snow detection
inferredcites →https://doi.org/10.1016/j.jag.2013.05.014openalex-extracted
Ten years of global burned area products from spaceborne remote sensing—A review: Analysis of user needs and recommendations for future developments
inferredcites →https://doi.org/10.1016/j.jag.2018.05.027openalex-extracted
A data mining approach for global burned area mapping
inferredcites →https://doi.org/10.1016/j.jag.2018.10.016openalex-extracted
Assessing the performance of a large-scale irrigation system by estimations of actual evapotranspiration obtained by Landsat satellite images resampled with cubic convolution
inferredcites →https://doi.org/10.1016/j.rse.2008.09.003openalex-extracted
Noise reduction of NDVI time series: An empirical comparison of selected techniques
inferredcites →https://doi.org/10.1016/j.rse.2015.09.014openalex-extracted
Estimation and evaluation of multi-decadal fire severity patterns using Landsat sensors
inferredcites →https://doi.org/10.1016/j.rse.2018.04.021openalex-extracted
Sentinel-2A multi-temporal misregistration characterization and an orbit-based sub-pixel registration methodology
inferredcites →https://doi.org/10.1016/j.rse.2018.12.011openalex-extracted
Development of a Sentinel-2 burned area algorithm: Generation of a small fire database for sub-Saharan Africa
inferredcites →https://doi.org/10.1016/j.rse.2019.02.013openalex-extracted
Historical background and current developments for mapping burned area from satellite Earth observation
inferredcites →https://doi.org/10.1016/j.rse.2019.111471openalex-extracted
Assessing the impact of endmember variability on linear Spectral Mixture Analysis (LSMA): A theoretical and simulation analysis
inferredcites →https://doi.org/10.1016/j.rse.2020.112112openalex-extracted
An automated rice mapping method based on flooding signals in synthetic aperture radar time series
inferredcites →https://doi.org/10.1016/j.rse.2021.112367openalex-extracted
Impacts of ignorance on the accuracy of image classification and thematic mapping
inferredcites →https://doi.org/10.1016/j.rse.2021.112442openalex-extracted
Assessing map accuracy from a suite of site-specific, non-site specific, and spatial distribution approaches.
inferredcites →https://doi.org/10.1016/j.rse.2021.112502openalex-extracted
Human or natural? Landscape context improves the attribution of forest disturbances mapped from Landsat in Central Europe
inferredcites →https://doi.org/10.1016/j.rse.2021.112575openalex-extracted
Deep-learning-based burned area mapping using the synergy of Sentinel-1&2 data
inferredcites →https://doi.org/10.1016/j.rse.2021.112692openalex-extracted
Solar photovoltaic module detection using laboratory and airborne imaging spectroscopy data
inferredcites →https://doi.org/10.1071/wf08013openalex-extracted
Remote sensing of burn severity: experience from western Canada boreal fires*
inferredcites →https://doi.org/10.1071/wf16056openalex-extracted
Understanding forest fire patterns and risk in Nepal using remote sensing, geographic information system and historical fire data
inferredcites →https://doi.org/10.1073/pnas.2011160118openalex-extracted
African burned area and fire carbon emissions are strongly impacted by small fires undetected by coarse resolution satellite data
inferredcites →https://doi.org/10.1080/01431161.2013.879350openalex-extracted
Improving detailed rule-based feature extraction of urban areas from WorldView-2 image and lidar data
inferredcites →https://doi.org/10.1080/01431161.2020.1771791openalex-extracted
Assessing VIIRS capabilities to improve burned area mapping over the Brazilian Cerrado
inferredcites →https://doi.org/10.1080/014311697218836openalex-extracted
Mapping sub-pixel proportional land cover with AVHRR imagery
inferredcites →https://doi.org/10.1080/15481603.2019.1646978openalex-extracted
Optimising rice mapping in cloud-prone environments by combining quad-source optical with Sentinel-1A microwave satellite imagery
inferredcites →https://doi.org/10.1109/36.911111openalex-extracted
Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery
inferredcites →https://doi.org/10.1109/iccv.1999.790414openalex-extracted
Learning low-level vision
inferredcites →https://doi.org/10.1109/jstars.2023.3316303openalex-extracted
Object-Based Validation of a Sentinel-2 Burned Area Product Using Ground-Based Burn Polygons
inferredcites →https://doi.org/10.1109/tgrs.2003.820314openalex-extracted
A Quantitative and Comparative Analysis of Endmember Extraction Algorithms From Hyperspectral Data
inferredcites →https://doi.org/10.1109/tgrs.2005.844293openalex-extracted
Vertex component analysis: a fast algorithm to unmix hyperspectral data
inferredcites →https://doi.org/10.1109/tgrs.2006.881803openalex-extracted
A New Growing Method for Simplex-Based Endmember Extraction Algorithm
inferredcites →https://doi.org/10.1109/tgrs.2006.888466openalex-extracted
Endmember Extraction From Highly Mixed Data Using Minimum Volume Constrained Nonnegative Matrix Factorization
inferredcites →https://doi.org/10.1109/tgrs.2007.912448openalex-extracted
Synthesis of Multispectral Images to High Spatial Resolution: A Critical Review of Fusion Methods Based on Remote Sensing Physics
inferredcites →https://doi.org/10.1109/tgrs.2011.2155070openalex-extracted
Fully Constrained Least Squares Spectral Unmixing by Simplex Projection
inferredcites →https://doi.org/10.1109/tgrs.2014.2361734openalex-extracted
A Critical Comparison Among Pansharpening Algorithms
inferredcites →https://doi.org/10.1109/tip.2010.2050625openalex-extracted
Image Super-Resolution Via Sparse Representation
inferredcites →https://doi.org/10.1109/tpwrd.2021.3053341openalex-extracted
Surrogate Model for Torsional Behavior of Bundle Conductors and its Application
inferredcites →https://doi.org/10.1201/9781482272956-25openalex-extracted
Mapping sub-pixel boundaries from remotely sensed images
inferredcites →https://doi.org/10.1364/josa.54.000931openalex-extracted
Diffraction and Resolving Power*
inferredcites →https://doi.org/10.3390/rs13193843openalex-extracted
Mapping Forest Burn Extent from Hyperspatial Imagery Using Machine Learning
inferredcites →https://doi.org/10.3390/rs14102460openalex-extracted
Forest Fire Monitoring and Positioning Improvement at Subpixel Level: Application to Himawari-8 Fire Products
inferredcites →https://doi.org/10.3390/rs14153546openalex-extracted
Development of a Novel Burned-Area Subpixel Mapping (BASM) Workflow for Fire Scar Detection at Subpixel Level
inferredcites →https://doi.org/10.59978/ar01020008openalex-extracted
Research on Progress of Forest Fire Monitoring With Satellite Remote Sensing
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.