On the public citation graph
An Integrated Object-Based Sampling Approach for Validating the Accuracy of Non-Contiguous Tropical Forest Cover Data
0 signed · 50 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known work and none has been retracted — and get a dated CiteStamped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/10.1007/978-3-031-15988-6_26openalex-extracted
Remote Sensing Tools for Monitoring Forests and Tracking Their Dynamics
inferredcites →https://doi.org/10.1016/0034-4257(91)90048-bopenalex-extracted
A review of assessing the accuracy of classifications of remotely sensed data
inferredcites →https://doi.org/10.1016/j.culher.2010.12.007openalex-extracted
Comparative analysis on the archaeological content of imagery from Google Earth
inferredcites →https://doi.org/10.1016/j.envsci.2007.01.010openalex-extracted
Earth observations for estimating greenhouse gas emissions from deforestation in developing countries
inferredcites →https://doi.org/10.1016/j.isprsjprs.2018.04.002openalex-extracted
A review of accuracy assessment for object-based image analysis: From per-pixel to per-polygon approaches
inferredcites →https://doi.org/10.1016/j.jag.2011.06.008openalex-extracted
Comparing object-based and pixel-based classifications for mapping savannas
inferredcites →https://doi.org/10.1016/j.jag.2012.11.002openalex-extracted
Using control data to determine the reliability of volunteered geographic information about land cover
inferredcites →https://doi.org/10.1016/j.jag.2019.102033openalex-extracted
Accuracy assessment of the global forest watch tree cover 2000 in China
inferredcites →https://doi.org/10.1016/j.rse.2005.04.002openalex-extracted
Comparing estimators of gross change derived from complete coverage mapping versus statistical sampling of remotely sensed data
inferredcites →https://doi.org/10.1016/j.rse.2005.08.006openalex-extracted
Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing
inferredcites →https://doi.org/10.1016/j.rse.2006.10.012openalex-extracted
Interpreting the change detection error matrix
inferredcites →https://doi.org/10.1016/j.rse.2010.12.017openalex-extracted
Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery
inferredcites →https://doi.org/10.1016/j.rse.2011.06.007openalex-extracted
Pixels, blocks of pixels, and polygons: Choosing a spatial unit for thematic accuracy assessment
inferredcites →https://doi.org/10.1016/j.rse.2011.11.020openalex-extracted
A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery
inferredcites →https://doi.org/10.1016/j.rse.2012.10.031openalex-extracted
Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation
inferredcites →https://doi.org/10.1016/j.rse.2013.10.030openalex-extracted
Accounting for the area of polygon sampling units for the prediction of primary accuracy assessment indices
inferredcites →https://doi.org/10.1016/j.rse.2014.02.015openalex-extracted
Good practices for estimating area and assessing accuracy of land change
inferredcites →https://doi.org/10.1016/j.rse.2014.04.014openalex-extracted
New global forest/non-forest maps from ALOS PALSAR data (2007–2010)
inferredcites →https://doi.org/10.1016/j.rse.2015.10.032openalex-extracted
Suitability of Global Forest Change data to report forest cover estimates at national level in Gabon
inferredcites →https://doi.org/10.1016/j.rse.2016.03.021openalex-extracted
Mapping tree species in tropical seasonal semi-deciduous forests with hyperspectral and multispectral data
inferredcites →https://doi.org/10.1016/j.rse.2019.05.018openalex-extracted
Key issues in rigorous accuracy assessment of land cover products
inferredcites →https://doi.org/10.1016/s0034-4257(01)00295-4openalex-extracted
Status of land cover classification accuracy assessment
inferredcites →https://doi.org/10.1016/s0034-4257(99)00055-3openalex-extracted
Coordinating Methodologies for Scaling Landcover Classifications from Site-Specific to Global
inferredcites →https://doi.org/10.1038/nclimate2816openalex-extracted
Conservation policy and the measurement of forests
inferredcites →https://doi.org/10.1080/01431160903131000openalex-extracted
Sampling designs for accuracy assessment of land cover
inferredcites →https://doi.org/10.1080/01431161.2012.748992openalex-extracted
Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data
inferredcites →https://doi.org/10.1080/01431161.2018.1433343openalex-extracted
Implementation of machine-learning classification in remote sensing: an applied review
inferredcites →https://doi.org/10.1080/13658816.2010.498378openalex-extracted
Thematic accuracy assessment of geographic object-based image classification
inferredcites →https://doi.org/10.1080/15481603.2015.1130589openalex-extracted
Object-oriented and pixel-based classification approaches to classify tropical successional stages using airborne high–spatial resolution images
inferredcites →https://doi.org/10.1080/23312041.2017.1307566openalex-extracted
Remote sensing of vegetation cover changes in the humid tropical rainforests of Southeastern Nigeria (1984–2014)
inferredcites →https://doi.org/10.1109/tit.1982.1056489openalex-extracted
Least squares quantization in PCM
inferredcites →https://doi.org/10.1111/1365-2745.13261openalex-extracted
Effects of topography on tropical forest structure depend on climate context
inferredcites →https://doi.org/10.1111/gcb.14415openalex-extracted
Canopy structure and topography jointly constrain the microclimate of human‐modified tropical landscapes
inferredcites →https://doi.org/10.1111/j.1365-2699.2004.01073.xopenalex-extracted
A new land‐cover map of Africa for the year 2000
inferredcites →https://doi.org/10.1111/j.1477-9730.2010.00574_2.xopenalex-extracted
Assessing the Accuracy of Remotely Sensed Data: Principles and Practices
inferredcites →https://doi.org/10.1126/science.1248753openalex-extracted
Comment on “High-resolution global maps of 21st-century forest cover change”
inferredcites →https://doi.org/10.1126/science.aau3445openalex-extracted
Classifying drivers of global forest loss
inferredcites →https://doi.org/10.1201/9780429052729openalex-extracted
Assessing the Accuracy of Remotely Sensed Data
inferredcites →https://doi.org/10.1201/9781420055139openalex-extracted
Assessing the Accuracy of Remotely Sensed Data
inferredcites →https://doi.org/10.2118/207725-msopenalex-extracted
Mangrove Restoration and Conservation as a Carbon Offset Option: A Case Study in the Niger Delta Region
inferredcites →https://doi.org/10.3390/rs12010187openalex-extracted
Regional-Scale Forest Mapping over Fragmented Landscapes Using Global Forest Products and Landsat Time Series Classification
inferredcites →https://doi.org/10.3390/rs13010032openalex-extracted
Social-Ecological Archetypes of Land Degradation in the Nigerian Guinea Savannah: Insights for Sustainable Land Management
inferredcites →https://doi.org/10.3390/rs13224594openalex-extracted
Improving the Accuracy of Land Cover Mapping by Distributing Training Samples
inferredcites →https://doi.org/10.3390/rs14122743openalex-extracted
Improved Object-Based Estimation of Forest Aboveground Biomass by Integrating LiDAR Data from GEDI and ICESat-2 with Multi-Sensor Images in a Heterogeneous Mountainous Region
inferredcites →https://doi.org/10.3390/rs14246251openalex-extracted
A Remote Sensing-Based Inventory of West Africa Tropical Forest Patches: A Basis for Enhancing Their Conservation and Sustainable Use
inferredcites →https://doi.org/10.3390/s8127973openalex-extracted
Horizontal Positional Accuracy of Google Earth’s High-Resolution Imagery Archive
inferredcites →https://doi.org/10.3990/2.435openalex-extracted
Application of object-based accuracy assessment for land cover classification using rapideye images in Southeastern Brazil
inferredcites →https://doi.org/10.5194/isprs-archives-xlii-3-61-2018openalex-extracted
ACCURACY DIMENSIONS IN REMOTE SENSING
inferredcites →https://doi.org/10.1016/j.rse.2022.113266openalex-snapshot
Remote sensing of land change: A multifaceted perspective
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.