MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets

By Mark A. Friedl, D. Sulla‐Menashe, Bin Tan, Annemarie Schneider, Navin Ramankutty, A. Sibley, Xiaoman Huang. 2010

3,290 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Media Technology

View Paper: https://www.semanticscholar.org/paper/d72a53e1350c78dc6950e3fa50c5ced281a976a1

How researchers see this paper

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

In Ecology

1. Zhe Zhu
2. David P. Roy
3. Michael Alonzo
4. Dar A. Roberts
5. Curtis E. Woodcock
6. Keely L. Roth
7. Joanne C. White
8. M. Wulder

In Global and Planetary Change

1. Zhe Zhu
2. Dar A. Roberts
3. Michael Alonzo
4. Keely L. Roth
5. David P. Roy
6. Curtis E. Woodcock
7. Joanne C. White
8. Philip E. Dennison

In Media Technology

1. Dar A. Roberts
2. Zhe Zhu
3. Michael Alonzo
4. Keely L. Roth
5. David P. Roy
6. Philip E. Dennison
7. Annemarie Schneider
8. Curtis E. Woodcock

Citations in the corpus

• The Global Distribution of Biological Nitrogen Fixation in Terrestrial Natural Ecosystems (2020, methodology): “From the stated vegetation type we matched to the most appropriate IGBP (International Geosphere‐ Biosphere Programme) Land Cover Type Classification, as used in the Moderate Resolution Imaging Spectroradiometer (MODIS) land cover product from Friedl et al. (2010), shown in Table 1.”
• Big data for forecasting the impacts of global change on plant communities (2017, methodology): “Global products from the National Aeronautics and Space Administration’s (NASA) Moderate Resolution (250 m or coarser) Imaging Spectrometer (MODIS) data (Justice et al. , 1998), available beginning in 1999, include maps of land cover (Friedl et al. , 2010), leaf area index, and vegetation indices.”
• Global Cost of Land Degradation (2016, background): “The overall accuracy of land use classification is about 75 % (Friedl et al. 2010).”
• Global wetland contribution to 2000–2012 atmospheric methane growth rate dynamics (2017, methodology): “Land-cover data from MOD12Q1 V004 (Friedl et al 2010) was used to exclude permanent open water (water bodies, rivers, snow/ice) and thus avoid double counting of wetlands, with an additional global FAO land mask (Zobler 1986) applied to remove coastal grid cells where brackish and salt-water wetland”
• Examination of Sentinel-2A Multi-spectral Instrument (MSI) Reflectance Anisotropy and the Suitability of a General Method to Normalize MSI Reflectance to Nadir BRDF Adjusted Reflectance (2017, background): “Analysis of the Collection 5 MODIS land cover product, which classifies each 500 m pixel into one of 17 International Geosphere-Biosphere Program (IGBP) classes (Friedl et al., 2010) indicates that the study area is predominantly composed of open shrublands (44.”
• Assessment of an Operational System for Crop Type Map Production Using High Temporal and Spatial Resolution Satellite Optical Imagery (2015, background): “5 [18]), regional land cover maps (AFRICOVER) and national maps from mapping agencies and other organizations.”
• The dominant role of semi-arid ecosystems in the trend and variability of the land CO2 sink (2015, methodology): “We divide the global land area into six land cover classes following the MODIS MCD12C1 94 land cover classification (12, 16): tropical forests (Fig 1B), extra-tropical forest, grasslands 95 and croplands (here combined), semi-arid ecosystems (Fig 1C), tundra and arctic shrub lands, 96 and sparsely v”
• Geo-Wiki: An online platform for improving global land cover (2012, methodology): “The MODIS land cover product (MOD12Q1 V005) was created by Boston University using the Moderate Resolution Imaging Spectoradiometer instrument on the NASA Terra Platform using data from the year 2005 at a resolution of 500 m (Friedl et al., 2010).”