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Mark A Friedl
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MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets
MA Friedl, D Sulla-Menashe, B Tan, A Schneider, N Ramankutty, A Sibley, ...
Remote sensing of Environment 114 (1), 168-182, 2010
36142010
Global land cover mapping from MODIS: algorithms and early results
MA Friedl, DK McIver, JCF Hodges, XY Zhang, D Muchoney, AH Strahler, ...
Remote sensing of Environment 83 (1-2), 287-302, 2002
32292002
Monitoring vegetation phenology using MODIS
X Zhang, MA Friedl, CB Schaaf, AH Strahler, JCF Hodges, F Gao, ...
Remote sensing of environment 84 (3), 471-475, 2003
30002003
Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data
RB Myneni, S Hoffman, Y Knyazikhin, JL Privette, J Glassy, Y Tian, ...
Remote sensing of environment 83 (1-2), 214-231, 2002
22882002
Decision tree classification of land cover from remotely sensed data
MA Friedl, CE Brodley
Remote sensing of environment 61 (3), 399-409, 1997
22251997
Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps
A Baccini, SJ Goetz, WS Walker, NT Laporte, M Sun, D Sulla-Menashe, ...
Nature climate change 2 (3), 182-185, 2012
20772012
Identifying mislabeled training data
CE Brodley, MA Friedl
Journal of artificial intelligence research 11, 131-167, 1999
14291999
A new map of global urban extent from MODIS satellite data
A Schneider, MA Friedl, D Potere
Environmental research letters 4 (4), 044003, 2009
10372009
Influence of spring and autumn phenological transitions on forest ecosystem productivity
AD Richardson, T Andy Black, P Ciais, N Delbart, MA Friedl, N Gobron, ...
Philosophical Transactions of the Royal Society B: Biological Sciences 365 …, 2010
9732010
Net carbon uptake has increased through warming-induced changes in temperate forest phenology
TF Keenan, J Gray, MA Friedl, M Toomey, G Bohrer, DY Hollinger, ...
Nature Climate Change 4 (7), 598-604, 2014
9092014
MCD12Q1 MODIS/Terra+ aqua land cover type yearly L3 global 500m SIN grid V006
M Friedl, D Sulla-Menashe
(No Title), 2019
900*2019
Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics
DK Bolton, MA Friedl
Agricultural and forest meteorology 173, 74-84, 2013
8602013
Mapping global urban areas using MODIS 500-m data: New methods and datasets based on ‘urban ecoregions’
A Schneider, MA Friedl, D Potere
Remote sensing of environment 114 (8), 1733-1746, 2010
8082010
Digital repeat photography for phenological research in forest ecosystems
O Sonnentag, K Hufkens, C Teshera-Sterne, AM Young, M Friedl, ...
Agricultural and Forest Meteorology 152, 159-177, 2012
6802012
Climate controls on vegetation phenological patterns in northern mid‐and high latitudes inferred from MODIS data
X Zhang, MA Friedl, CB Schaaf, AH Strahler
Global change biology 10 (7), 1133-1145, 2004
6572004
Global vegetation phenology from Moderate Resolution Imaging Spectroradiometer (MODIS): Evaluation of global patterns and comparison with in situ measurements
X Zhang, MA Friedl, CB Schaaf
Journal of Geophysical Research: Biogeosciences 111 (G4), 2006
6152006
Drought and ecosystem carbon cycling
MK Van der Molen, AJ Dolman, P Ciais, T Eglin, N Gobron, BE Law, ...
Agricultural and Forest Meteorology 151 (7), 765-773, 2011
6142011
Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 Land Cover product
D Sulla-Menashe, JM Gray, SP Abercrombie, MA Friedl
Remote sensing of environment 222, 183-194, 2019
5762019
Land surface phenology from MODIS: Characterization of the Collection 5 global land cover dynamics product
S Ganguly, MA Friedl, B Tan, X Zhang, M Verma
Remote sensing of environment 114 (8), 1805-1816, 2010
5592010
User guide to collection 6 MODIS land cover (MCD12Q1 and MCD12C1) product
D Sulla-Menashe, MA Friedl
Usgs: Reston, Va, Usa 1, 18, 2018
5082018
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Artikler 1–20