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Validating land cover maps with Degree Confluence Project information

https://doi.org/10.1029/2006gl027768

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

inferredcites →https://doi.org/10.1016/j.envsci.2004.12.010openalex-snapshot

Synthesis of remote sensing approaches for forest carbon estimation: reporting to the Kyoto Protocol

inferredcites →https://doi.org/10.1016/j.jag.2005.12.002openalex-snapshot

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inferredcites →https://doi.org/10.1016/j.rse.2004.09.005openalex-snapshot

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inferredcites →https://doi.org/10.1016/j.rse.2005.02.016openalex-snapshot

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inferredcites →https://doi.org/10.1016/s0167-8809(01)00186-4openalex-snapshot

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inferredcites →https://doi.org/10.1016/s0303-2434(02)00011-9openalex-snapshot

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inferredcites →https://doi.org/10.1080/014311600210083openalex-snapshot

Global and regional land cover characterization from satellite data: an introduction to the Special Issue

inferredcites →https://doi.org/10.1080/014311600210209openalex-snapshot

Global land cover classification at 1 km spatial resolution using a classification tree approach

inferredcites →https://doi.org/10.1080/01431169408954160openalex-snapshot

Use of groundtruth data to correct land cover area estimates from remotely sensed data

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inferred← citeshttps://doi.org/10.1007/978-3-030-82430-3_14openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-319-23374-1_14openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-4-431-54783-9_10openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s00376-012-2037-4openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10661-020-08522-9openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10980-012-9745-0openalex-snapshot

The representation of landscapes in global scale assessments of environmental change

inferred← citeshttps://doi.org/10.1007/s11284-010-0756-5openalex-snapshot

Building a 2010 biodiversity conservation data baseline: contributions of the Group on Earth Observations

inferred← citeshttps://doi.org/10.1007/s13351-020-9183-xopenalex-snapshot

Identifying and Quantifying Pixel-Level Uncertainty among Major Satellite Derived Global Land Cover Products

inferred← citeshttps://doi.org/10.1016/j.agrformet.2007.12.007openalex-snapshot

The regional carbon budget of East Asia simulated with a terrestrial ecosystem model and validated using AsiaFlux data

inferred← citeshttps://doi.org/10.1016/j.isci.2025.111919openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2012.05.006openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2014.09.002openalex-snapshot

Global land cover mapping at 30 m resolution: A POK-based operational approach

inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2018.04.025openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.jag.2012.11.002openalex-snapshot

Using control data to determine the reliability of volunteered geographic information about land cover

inferred← citeshttps://doi.org/10.1016/j.jag.2013.10.006openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.landurbplan.2018.07.016openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.rse.2010.09.010openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.rse.2014.02.015openalex-snapshot

Good practices for estimating area and assessing accuracy of land change

inferred← citeshttps://doi.org/10.1016/j.rse.2014.04.014openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.rse.2018.04.014openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.rse.2018.10.039openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.rse.2019.05.018openalex-snapshot

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inferred← citeshttps://doi.org/10.1029/2007gb002959openalex-snapshot

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inferred← citeshttps://doi.org/10.1080/10095020.2017.1373955openalex-snapshot

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inferred← citeshttps://doi.org/10.1080/10095020.2022.2100285openalex-snapshot

Assuring the quality of VGI on land use and land cover: experiences and learnings from the LandSense project

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inferred← citeshttps://doi.org/10.1080/16742834.2014.11447225openalex-snapshot

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inferred← citeshttps://doi.org/10.1111/geb.13574openalex-snapshot

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inferred← citeshttps://doi.org/10.1111/j.1365-2486.2010.02307.xopenalex-snapshot

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inferred← citeshttps://doi.org/10.1201/9781351228596-17openalex-snapshot

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inferred← citeshttps://doi.org/10.18174/378336openalex-snapshot

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inferred← citeshttps://doi.org/10.18306/dlkxjz.2020.03.008openalex-snapshot

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inferred← citeshttps://doi.org/10.2322/tastj.14.pn_1openalex-snapshot

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inferred← citeshttps://doi.org/10.2478/remc-2014-0003openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/rs8121036openalex-snapshot

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inferred← citeshttps://doi.org/10.3878/aosl20140059openalex-snapshot

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inferred← citeshttps://doi.org/10.4236/jgis.2011.32013openalex-snapshot

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