Fernando Sedano - Concepedia

Author

Fernando Sedano

University of Maryland, College Park

Also Known As

F. Sedano, Fernando Sedano, Sedano Fernando, Sedano, Fernando

Publications

1.9K

Citations

H-Index

Concepts

All Affiliations

University of Maryland, College Park Joint Research Centre China Agricultural University Beijing Normal University State Key Laboratory of Remote Sensing Science

About

Fernando Sedano is an author at University of Maryland, College Park specializing in engineering, geography, and remote sensing.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	14	16	1.1K
2	Social Sciences	8	8	401
3	Public Health	2	2	115
4	Computer Engineering	1	1	10
5	Computer Science	1	1	10

Fernando Sedano

Publications

1.3K

Citations

H-Index

Page 1

	Year	Citations
Assimilating a synthetic Kalman filter leaf area index series into the WOFOST model to improve regional winter wheat yield estimation Jianxi Huang, Fernando Sedano, Yanbo Huang, Agricultural and Forest Meteorology Precision AgricultureEngineeringDroughtCropping SystemGeography	2015	290
Evaluation of regional estimates of winter wheat yield by assimilating three remotely sensed reflectance datasets into the coupled WOFOST–PROSAIL model Jianxi Huang, Hongyuan Ma, Fernando Sedano, European Journal of Agronomy Precision AgricultureWinter Wheat YieldReflectance DatasetsEngineeringLand Use	2018	242
Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud Álvaro Moreno‐Martínez, Emma Izquierdo‐Verdiguier, Marco Maneta, Remote Sensing of Environment	2020	120
Mapping the daily progression of large wildland fires using MODIS active fire data Sander Veraverbeke, Fernando Sedano, Simon J. Hook, International Journal of Wildland Fire Environmental MonitoringEngineeringFire DynamicFire DetectionKriging Model	2014	99
Comparison of three remotely sensed drought indices for assessing the impact of drought on winter wheat yield Jianxi Huang, Wen Zhuo, Ying Li, International Journal of Digital Earth Environmental MonitoringAgricultural DroughtEngineeringAgricultural EconomicsDrought Indices	2018	80
Quantifying aboveground biomass dynamics from charcoal degradation in Mozambique using GEDI Lidar and Landsat Mengyu Liang, Laura Duncanson, Julie A. Silva, Remote Sensing of Environment Environmental MonitoringEngineeringForest BiometricsForestryLand Degradation	2022	72
A Kalman Filter-Based Method to Generate Continuous Time Series of Medium-Resolution NDVI Images Fernando Sedano, Pieter Kempeneers, G. C. Hurtt Remote Sensing Earth ObservationEngineeringComplete Temporal SequencesKalman Filter-based MethodTerrestrial Sensing	2014	62
A cloud mask methodology for high resolution remote sensing data combining information from high and medium resolution optical sensors Fernando Sedano, Pieter Kempeneers, Peter Strobl, ISPRS Journal of Photogrammetry and Remote Sensing RadarHigh ResolutionEngineeringData ScienceSynthetic Aperture Radar	2011	45
Charcoal-related forest degradation dynamics in dry African woodlands: Evidence from Mozambique Julie A. Silva, Fernando Sedano, S. Flanagan, Applied Geography Forest RestorationForest ConservationForestryAfrican DrylandsForest Resource Management	2019	36
Spatial typology for targeted food and nutrition security interventions Wim Marivoet, John M. Ulimwengu, Fernando Sedano World Development NutritionPublic PolicyFood SecuritySpatial TargetingProposed Typology	2019	35

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