Validation of the global land cover 2000 map

By P. Mayaux, H. Eva, J. Gallego, Alan H. Strahler, Martin Herold, S. Agrawal, Sergey Naumov, E. E. Miranda, C. D. Bella, C. Ordoyne and 2 more. IEEE Transactions on Geoscience and Remote Sensing, 2006

311 citations recorded by the source corpus.

Subfields: Atmospheric Science, Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/4b07e341757dc38215a69f33cf916a837b33f1d8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. M. Wulder
2. G. García-Santos
3. Linda M. See
4. Giles M. Foody
5. Martin Herold
6. Curtis E. Woodcock
7. Prasad S. Thenkabail
8. Stephen V. Stehman

In Ecology

1. Giles M. Foody
2. Stephen V. Stehman
3. M. Wulder
4. Martin Herold
5. Curtis E. Woodcock
6. Pontus Olofsson
7. Mutlu Ozdogan
8. Alessandro Baccini

In Global and Planetary Change

1. Stephen V. Stehman
2. Giles M. Foody
3. M. Wulder
4. Martin Herold
5. Curtis E. Woodcock
6. Z. Malenovsky
7. Pontus Olofsson
8. G. García-Santos

Citations in the corpus

• Some challenges in global land cover mapping : An assessment of agreement and accuracy in existing 1 km datasets (2008, methodology): “To date, only two global land cover products have been validated using design-based sampling: the IGBP DISCover Global 1-km LandCover Data Set (Scepan, 1999) and the Global Land Cover Map 2000 (GLC2000,Mayaux et al., 2006).”
• Highlighting continued uncertainty in global land cover maps for the user community (2011, methodology): “%) for GLC-2000 (Mayaux et al 2006), 74.8% (±1.3”
• Good practices for estimating area and assessing accuracy of land change (2014, background): “Stratified sampling is commonly used in accuracy assessment so it has an advantage of being familiar to the remote sensing community (cf. Cakir, Khorram, & Nelson, 2006; Huang et al., 2010;Mayaux et al., 2006; Olofsson et al., 2011).”
• Global Land Cover Mapping: A Review and Uncertainty Analysis (2014, methodology): “Global Land Cover 2000, GlobCover 2009 and IGBP completed their accuracy assessments using an independent statistical validation [48], but the majority of the reference sites were collected from medium resolution (e.”
• Sampling designs for accuracy assessment of land cover (2009, methodology): “( 2006 ) implemented a stratified one-stage cluster sampling design in which the clusters were Landsat scenes.”
• Review of optical-based remote sensing for plant trait mapping (2013, background): “325 The overall accuracy of the global land cover classifications varies between 68% and 75% 326 (Friedl et al., 2010; Mayaux et al., 2006), whereas the accuracy of local RS studies varies 327 between 65% and 95% and for some cases it drops below 50% (Underwood et al., 2006).”