Related references
Note: Only part of the references are listed.Breaking the Habit(at)
Nicholas C. Coops et al.
TRENDS IN ECOLOGY & EVOLUTION (2019)
Key issues in rigorous accuracy assessment of land cover products
Stephen V. Stehman et al.
REMOTE SENSING OF ENVIRONMENT (2019)
A unified framework for land cover monitoring based on a discrete global sampling grid (GSG)
Lutz Fehrmann et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2019)
A review of accuracy assessment for object-based image analysis: From per-pixel to per-polygon approaches
Su Ye et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2018)
A comparison of resampling methods for remote sensing classification and accuracy assessment
Mitchell B. Lyons et al.
REMOTE SENSING OF ENVIRONMENT (2018)
Effect of classifier selection, reference sample size, reference class distribution and scene heterogeneity in per-pixel classification accuracy using 26 Landsat sites
Shahriar S. Heydari et al.
REMOTE SENSING OF ENVIRONMENT (2018)
How good is my map? A tool for semi-automated thematic mapping and spatially explicit confidence assessment
Peter J. Mitchell et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2018)
Characterizing the Spatial and Temporal Availability of Very High Resolution Satellite Imagery in Google Earth and Microsoft Bing Maps as a Source of Reference Data
Myroslava Lesiv et al.
LAND (2018)
A review of supervised object-based land-cover image classification
Lei Ma et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2017)
Mapping per-pixel predicted accuracy of classified remote sensing images
Reza Khatami et al.
REMOTE SENSING OF ENVIRONMENT (2017)
Impacts of Sample Design for Validation Data on the Accuracy of Feedforward Neural Network Classification
Giles M. Foody
APPLIED SCIENCES-BASEL (2017)
Optical remotely sensed time series data for land cover classification: A review
Cristina Gomez et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2016)
A meta-analysis of remote sensing research on supervised pixel-based land-cover image classification processes: General guidelines for practitioners and future research
Reza Khatami et al.
REMOTE SENSING OF ENVIRONMENT (2016)
We Must All Pay More Attention to Rigor in Accuracy Assessment: Additional Comment to The Improvement of Land Cover Classification by Thermal Remote Sensing. Remote Sens. 2015, 7, 8368-8390
Guillermo Castilla
REMOTE SENSING (2016)
Assessing Uncertainty in LULC Classification Accuracy by Using Bootstrap Resampling
Lin-Hsuan Hsiao et al.
REMOTE SENSING (2016)
The Sensitivity of Mapping Methods to Reference Data Quality: Training Supervised Image Classifications with Imperfect Reference Data
Giles M. Foody et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2016)
Framing the concept of satellite remote sensing essential biodiversity variables: challenges and future directions
Nathalie Pettorelli et al.
REMOTE SENSING IN ECOLOGY AND CONSERVATION (2016)
Valuing map validation: The need for rigorous land cover map accuracy assessment in economic valuations of ecosystem services
G. M. Foody
ECOLOGICAL ECONOMICS (2015)
How sampling and scale limit accuracy assessment of vegetation maps: A comment on Loehle et al. (2015)
David M. Bell et al.
FOREST ECOLOGY AND MANAGEMENT (2015)
On the Importance of Training Data Sample Selection in Random Forest Image Classification: A Case Study in Peatland Ecosystem Mapping
Koreen Millard et al.
REMOTE SENSING (2015)
Ten ways remote sensing can contribute to conservation
Robert A. Rose et al.
CONSERVATION BIOLOGY (2015)
Meta-discoveries from a synthesis of satellite-based land-cover mapping research
Le Yu et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2014)
Good practices for estimating area and assessing accuracy of land change
Pontus Olofsson et al.
REMOTE SENSING OF ENVIRONMENT (2014)
Impact of training and validation sample selection on classification accuracy and accuracy assessment when using reference polygons in object-based classification
Zhen Zhen et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2013)
An accuracy assessment of forest disturbance mapping in the western Great Lakes
P. L. Zimmerman et al.
REMOTE SENSING OF ENVIRONMENT (2013)
Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation
Pontus Olofsson et al.
REMOTE SENSING OF ENVIRONMENT (2013)
Quantifying uncertainty in remotely sensed land cover maps
Edward Cripps et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2013)
Latent Class Modeling for Site- and Non-Site-Specific Classification Accuracy Assessment Without Ground Data
Giles M. Foody
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2012)
Google Earth as a virtual globe tool for Earth science applications at the global scale: progress and perspectives
Le Yu et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2012)
Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited training data points
Yang Shao et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2012)
Are landscape ecologists addressing uncertainty in their remote sensing data?
Alex M. Lechner et al.
LANDSCAPE ECOLOGY (2012)
Thematic accuracy assessment of geographic object-based image classification
J. Radoux et al.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2011)
Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment
Robert Gilmore Pontius et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2011)
Pixels, blocks of pixels, and polygons: Choosing a spatial unit for thematic accuracy assessment
Stephen V. Stehman et al.
REMOTE SENSING OF ENVIRONMENT (2011)
The impact of imperfect ground reference data on the accuracy of land cover change estimation
Giles M. Foody
INTERNATIONAL JOURNAL OF REMOTE SENSING (2009)
Sampling designs for accuracy assessment of land cover
Stephen V. Stehman
INTERNATIONAL JOURNAL OF REMOTE SENSING (2009)
Harshness in image classification accuracy assessment
Giles M. Foody
INTERNATIONAL JOURNAL OF REMOTE SENSING (2008)
Improving classification accuracy assessments with statistical bootstrap resampling techniques
Keith T. Weber et al.
GISCIENCE & REMOTE SENSING (2007)
Comparative assessment of the measures of thematic classification accuracy
Canran Liu et al.
REMOTE SENSING OF ENVIRONMENT (2007)
A survey of image classification methods and techniques for improving classification performance
D. Lu et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2007)
An accuracy assessment framework for large-area land cover classification products derived from medium-resolution satellite data
MA Wulder et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2006)
On possible measures for evaluating the degree of uncertainty of fuzzy thematic maps
C Ricotta
INTERNATIONAL JOURNAL OF REMOTE SENSING (2005)
Comparing the consistency of expert land cover knowledge
A Comber et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2005)
Results and implications of a study of fifteen years of satellite image classification experiments
GG Wilkinson
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2005)
Multi-site evaluation of IKONOS data for classification of tropical coral reef environments
S Andréfouët et al.
REMOTE SENSING OF ENVIRONMENT (2003)
Toward estimation of map accuracy without a probability test sample
BM Steele et al.
ENVIRONMENTAL AND ECOLOGICAL STATISTICS (2003)
Effects of landscape characteristics on land-cover class accuracy
JH Smith et al.
REMOTE SENSING OF ENVIRONMENT (2003)
Status of land cover classification accuracy assessment
GM Foody
REMOTE SENSING OF ENVIRONMENT (2002)
Practical implications of design-based sampling inference for thematic map accuracy assessment
SV Stehman
REMOTE SENSING OF ENVIRONMENT (2000)
A note on procedures used for accuracy assessment in land cover maps derived from AVHRR data
MA Friedl et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2000)