A reporting framework for Sustainable Development Goal 15: Multi-scale monitoring of forest degradation using MODIS, Landsat and Sentinel data

References

Page 1

	Year	Citations
Random Forests Leo Breiman Machine Learning	2001	119.3K
A Coefficient of Agreement for Nominal Scales Jacob Cohen Educational and Psychological Measurement Natural Language ProcessingEngineeringLanguage CorpusInterobserver AgreementDistributional Semantics	1960	40.1K
Bagging Predictors Leo Breiman Machine Learning	1996	16.6K
Bagging predictors Leo Breiman Machine Learning	1996	16.2K
High-Resolution Global Maps of 21st-Century Forest Cover Change Matthew C. Hansen, Peter Potapov, Rebecca Moore, Science EngineeringLand UseGlobal Forest ChangeForestryHigh-resolution Global Maps	2013	11.2K
The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales George J. Huffman, David T. Bolvin, Eric Nelkin, Journal of Hydrometeorology Flood EventEngineeringWeather ForecastingClimate ModelingFine Scales	2007	6.9K
The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes Chris Funk, Pete Peterson, M. F. Landsfeld, Scientific Data	2015	5.6K
Europe-wide reduction in primary productivity caused by the heat and drought in 2003 P. Ciais, Markus Reichstein, Nicolas Viovy, Nature ProductivityResource ProductivityClimate ImpactEngineeringDrought	2005	4.1K
Increased plant growth in the northern high latitudes from 1981 to 1991 Ranga B. Myneni, Charles D. Keeling, Compton J. Tucker, Nature ClimatologyEngineeringBotanyNorthern High LatitudesGeography	1997	3.5K
Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors Gyanesh Chander, Brian L. Markham, Dennis Helder Remote Sensing of Environment Sensor CalibrationEnvironmental MonitoringEngineeringMeasurementCalibration	2009	3K

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