On the public citation graph

Bayesian updating of land-cover estimates in a data-rich environment

https://doi.org/10.1016/j.rse.2016.08.021
0 signed · 69 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1002/2014eo260003openalex-snapshot
Sentinel Satellites Initiate New Era in Earth Observation
inferredcites →https://doi.org/10.1016/0034-4257(80)90011-5openalex-snapshot
The use of prior probabilities in maximum likelihood classification of remotely sensed data
inferredcites →https://doi.org/10.1016/0034-4257(91)90048-bopenalex-snapshot
A review of assessing the accuracy of classifications of remotely sensed data
inferredcites →https://doi.org/10.1016/j.isprsjprs.2014.09.002openalex-snapshot
Global land cover mapping at 30 m resolution: A POK-based operational approach
inferredcites →https://doi.org/10.1016/j.rse.2009.08.011openalex-snapshot
Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States
inferredcites →https://doi.org/10.1016/j.rse.2009.08.016openalex-snapshot
MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets
inferredcites →https://doi.org/10.1016/j.rse.2009.08.017openalex-snapshot
An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks
inferredcites →https://doi.org/10.1016/j.rse.2010.01.018openalex-snapshot
Thematic accuracy of the NLCD 2001 land cover for the conterminous United States
inferredcites →https://doi.org/10.1016/j.rse.2010.07.008openalex-snapshot
Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms
inferredcites →https://doi.org/10.1016/j.rse.2010.07.010openalex-snapshot
Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync — Tools for calibration and validation
inferredcites →https://doi.org/10.1016/j.rse.2011.06.026openalex-snapshot
Forty-year calibrated record of earth-reflected radiance from Landsat: A review
inferredcites →https://doi.org/10.1016/j.rse.2011.08.024openalex-snapshot
A review of large area monitoring of land cover change using Landsat data
inferredcites →https://doi.org/10.1016/j.rse.2012.01.010openalex-snapshot
Opening the archive: How free data has enabled the science and monitoring promise of Landsat
inferredcites →https://doi.org/10.1016/j.rse.2012.12.001openalex-snapshot
Accuracy assessment of NLCD 2006 land cover and impervious surface
inferredcites →https://doi.org/10.1016/j.rse.2013.01.012openalex-snapshot
A comprehensive change detection method for updating the National Land Cover Database to circa 2011
inferredcites →https://doi.org/10.1016/j.rse.2013.10.004openalex-snapshot
Development and assessment of a 250m spatial resolution MODIS annual land cover time series (2000–2011) for the forest region of Canada derived from change-based updating
inferredcites →https://doi.org/10.1016/j.rse.2014.01.011openalex-snapshot
Continuous change detection and classification of land cover using all available Landsat data
inferredcites →https://doi.org/10.1016/j.rse.2014.08.017openalex-snapshot
Global, Landsat-based forest-cover change from 1990 to 2000
inferredcites →https://doi.org/10.1016/s0034-4257(02)00078-0openalex-snapshot
Global land cover mapping from MODIS: algorithms and early results
inferredcites →https://doi.org/10.1109/tgrs.2012.2183137openalex-snapshot
Fitting the Multitemporal Curve: A Fourier Series Approach to the Missing Data Problem in Remote Sensing Analysis
inferredcites →https://doi.org/10.1109/tgrs.2013.2272545openalex-snapshot
On-the-Fly Massively Multitemporal Change Detection Using Statistical Quality Control Charts and Landsat Data
inferredcites →https://doi.org/10.1111/j.1541-0064.2010.00335.xopenalex-snapshot
Fragmentation regimes of Canada's forests
inferredcites →https://doi.org/10.1117/1.3223675openalex-snapshot
Automated mapping of tropical deforestation and forest degradation: CLASlite
inferredcites →https://doi.org/10.1126/science.1244693openalex-snapshot
High-Resolution Global Maps of 21st-Century Forest Cover Change
inferredcites →https://doi.org/10.1201/b11964-14openalex-snapshot
Preprocessing: Need for Sensor Calibration
inferredcites →https://doi.org/10.1201/b19322openalex-snapshot
Land Resources Monitoring, Modeling, and Mapping with Remote Sensing
inferredcites →https://doi.org/10.3133/fs20123020openalex-snapshot
The National Land Cover Database
inferredcites →https://doi.org/10.3133/ofr20081379openalex-snapshot
Completion of the National Land Cover Database (NLCD) 1992–2001 Land Cover Change Retrofit product
inferredcites →https://doi.org/10.5589/m08-066openalex-snapshot
Monitoring Canada’s forests. Part 1: Completion of the EOSD land cover project
inferredcites →https://doi.org/10.5589/m08-081openalex-snapshot
Monitoring Canada’s forests. Part 2: National forest fragmentation and pattern
inferredcites →https://doi.org/10.5589/m13-053openalex-snapshot
The Landsat observation record of Canada: 1972–2012

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4655449openalex-extracted
Land Cover Pixel Class Probabilities Create Customizable Layers for Forested and Urban Landscapes
inferred← citeshttps://doi.org/10.1007/978-3-031-26588-4_20openalex-snapshot
Data Fusion: Merging Classification Streams
inferred← citeshttps://doi.org/10.1007/s40823-020-00054-9openalex-snapshot
Remote Sensing’s Recent and Future Contributions to Landscape Ecology
inferred← citeshttps://doi.org/10.1007/s41651-025-00218-3openalex-snapshot
State-of-the-Art Status of Google Earth Engine (GEE) Application in Land and Water Resource Management: A Scientometric Analysis
inferred← citeshttps://doi.org/10.1016/b978-0-443-13220-9.00066-4openalex-snapshot
Time Series Analysis of Remotely Sensed Data
inferred← citeshttps://doi.org/10.1016/j.agwat.2025.109416openalex-snapshot
Multi-model ensemble mapping of irrigated areas using remote sensing, machine learning, and ground truth data
inferred← citeshttps://doi.org/10.1016/j.foreco.2026.123671openalex-snapshot
Populus tremuloides as a natural fire barrier in Canada’s boreal forest under a changing climate
inferred← citeshttps://doi.org/10.1016/j.jag.2021.102318openalex-snapshot
Tree species classification using Sentinel-2 imagery and Bayesian inference
inferred← citeshttps://doi.org/10.1016/j.jag.2025.104831openalex-snapshot
Early Deforestation Detection in the Tropics using L-band SAR and Optical multi-sensor data and Bayesian Statistics
inferred← citeshttps://doi.org/10.1016/j.jag.2026.105101openalex-snapshot
Recognition of salt-marsh fairy circles in conventional optical satellite imagery: A generalizable framework with multiple machine learning models and imbalanced Bayesian probability updating
inferred← citeshttps://doi.org/10.1016/j.rsase.2024.101167openalex-snapshot
Multi-temporal change detection of asbestos roofing: A hybrid object-based deep learning framework with post-classification structure
inferred← citeshttps://doi.org/10.1016/j.rsase.2026.101910openalex-snapshot
Integrating five decades of Landsat imagery for territory-wide habitat mapping and change detection in a subtropical metropolitan city
inferred← citeshttps://doi.org/10.1016/j.rse.2017.07.009openalex-snapshot
A post-classification change detection method based on iterative slow feature analysis and Bayesian soft fusion
inferred← citeshttps://doi.org/10.1016/j.rse.2019.111266openalex-snapshot
Multi-sensor detection of forest-cover change across 45 years in Mato Grosso, Brazil
inferred← citeshttps://doi.org/10.1016/j.rse.2019.111295openalex-snapshot
Generating intra-year metrics of wildfire progression using multiple open-access satellite data streams
inferred← citeshttps://doi.org/10.1016/j.rse.2019.111400openalex-snapshot
Mapping three decades of annual irrigation across the US High Plains Aquifer using Landsat and Google Earth Engine
inferred← citeshttps://doi.org/10.1016/j.rse.2021.112741openalex-snapshot
Multi-sensor change detection for within-year capture and labelling of forest disturbance
inferred← citeshttps://doi.org/10.1016/j.rse.2023.113821openalex-snapshot
Integration of deep learning algorithms with a Bayesian method for improved characterization of tropical deforestation frontiers using Sentinel-1 SAR imagery
inferred← citeshttps://doi.org/10.1016/j.rse.2023.113931openalex-snapshot
Inter- and intra-year forest change detection and monitoring of aboveground biomass dynamics using Sentinel-2 and Landsat
inferred← citeshttps://doi.org/10.1016/j.rse.2025.115133openalex-snapshot
On the sensitivity of SAR C- and L-band dual-polarized data for detection of early deforestation in the tropics
inferred← citeshttps://doi.org/10.1029/2023wr036945openalex-snapshot
Long‐Term Monitoring of the Annual Irrigated Cropland Extent in Fragmented and Heterogeneous Arid Landscapes Using Machine Learning and Landsat Imagery
inferred← citeshttps://doi.org/10.1038/s41597-023-02439-xopenalex-snapshot
Spatial and Temporal Availability of Cloud-free Optical Observations in the Tropics to Monitor Deforestation
inferred← citeshttps://doi.org/10.1080/01431161.2024.2371082openalex-snapshot
Data homogeneity impact in tree species classification based on Sentinel-2 multitemporal data case study in central Sweden
inferred← citeshttps://doi.org/10.1080/10106049.2025.2451164openalex-snapshot
Advanced characterization of deforestation frontiers in Nigeria utilizing deep learning and Bayesian approaches with sentinel-1 SAR imagery
inferred← citeshttps://doi.org/10.1080/2150704x.2018.1536300openalex-snapshot
Multi-sensor, multi-scale, Bayesian data synthesis for mapping within-year wildfire progression
inferred← citeshttps://doi.org/10.1088/1748-9326/ace2daopenalex-snapshot
A global time series dataset to facilitate forest greenhouse gas reporting
inferred← citeshttps://doi.org/10.1109/jstars.2021.3093625openalex-snapshot
Wildfire Detection From Multisensor Satellite Imagery Using Deep Semantic Segmentation
inferred← citeshttps://doi.org/10.11648/j.ajrs.20261402.13openalex-snapshot
Bayesian-Enhanced Deep Learning and Multi-Sensor Fusion for Spatiotemporal Analysis of Deforestation Frontiers and Landscape Structural Dynamics
inferred← citeshttps://doi.org/10.3389/frsen.2022.894571openalex-snapshot
Medium Spatial Resolution Mapping of Global Land Cover and Land Cover Change Across Multiple Decades From Landsat
inferred← citeshttps://doi.org/10.3390/fire8060230openalex-snapshot
Mapping Delayed Canopy Loss and Durable Fire Refugia for the 2020 Wildfires in Washington State Using Multiple Sensors
inferred← citeshttps://doi.org/10.3390/rs10091455openalex-snapshot
BULC-U: Sharpening Resolution and Improving Accuracy of Land-Use/Land-Cover Classifications in Google Earth Engine
inferred← citeshttps://doi.org/10.3390/rs11161907openalex-snapshot
Integration of Machine Learning and Open Access Geospatial Data for Land Cover Mapping
inferred← citeshttps://doi.org/10.3390/rs11172038openalex-snapshot
Development of an Operational Algorithm for Automated Deforestation Mapping via the Bayesian Integration of Long-Term Optical and Microwave Satellite Data
inferred← citeshttps://doi.org/10.3390/rs12040688openalex-snapshot
Agricultural Expansion in Mato Grosso from 1986–2000: A Bayesian Time Series Approach to Tracking Past Land Cover Change
inferred← citeshttps://doi.org/10.3390/rs14164005openalex-snapshot
Temporally-Consistent Annual Land Cover from Landsat Time Series in the Southern Cone of South America
inferred← citeshttps://doi.org/10.3390/rs14194714openalex-snapshot
Remote Sensing of Forest Burnt Area, Burn Severity, and Post-Fire Recovery: A Review
inferred← citeshttps://doi.org/10.3390/rs14194896openalex-snapshot
Probabilistic Tracking of Annual Cropland Changes over Large, Complex Agricultural Landscapes Using Google Earth Engine
inferred← citeshttps://doi.org/10.3390/rs17152570openalex-snapshot
Increasing the Thematic Resolution for Trees and Built Area in a Global Land Cover Dataset Using Class Probabilities
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.