about
High-resolution forest canopy height estimation in an African blue carbon ecosystem.A Comparison of Mangrove Canopy Height Using Multiple Independent Measurements from Land, Air, and Space.Advanced Land Observing Satellite Phased Array Type L-Band SAR (ALOS PALSAR) to Inform the Conservation of Mangroves: Sundarbans as a Case StudyDigital beamforming synthetic aperture radar developments at NASA/Goddard space flight centerFraming the concept of satellite remote sensing essential biodiversity variables: challenges and future directionsGround-level digital terrain model (DTM) construction from TanDEM-X InSAR data and WorldView stereo-photogrammetric imagesDigital beamforming synthetic aperture radar (DBSAR): Single-pass interferometry for forest structure estimationLarge-scale mangrove canopy height map generation from TanDEM-X data by means of Pol-InSAR techniquesNext generation Digital Beamforming Synthetic Aperture Radar (DBSAR-2)ECOSAR: P-band digital beamforming polarimetric and single pass interferometric SARRadio frequency interference detection and mitigation techniques: EcoSAR 2014 flight campaignForest parameters estimation from SAR and Landsat data using look-up table inversionPolarimetric SAR interferometry evaluation in mangrovesThe ecosystems SAR (EcoSAR) an airborne P-band polarimetric InSAR for the measurement of vegetation structure, biomass and permafrostFlood extent mapping for Namibia using change detection and thresholding with SARRetrieval of forest biophysical parameters using physically-based algorithmsThe 2011 Eco3D flight campaign: Vegetation structure and biomass estimation from simultaneous SAR, lidar and radiometer measurementsDevelopment of the EcoSAR P-band synthetic aperture radarDigital Beamforming Synthetic Aperture Radar (DBSAR) polarimetric operation during the Eco3D flight campaignEcosar: A P- band digital beamforming Polarimetric Interferometric SAR instrument to measure ecosystem structure and biomassThe EcoSAR P-band Synthetic Aperture RadarRemote Sensing in Ecology and Conservation: three years onDevelopment of Next Generation Digital Beamforming Synthetic Aperture Radar architecturesCloud-computing and machine learning in support of country-level land cover and ecosystem extent mapping in Liberia and Gabon
P50
Q53089550-49C0AB52-B87E-4818-B514-C3EE480CCE84Q53278977-4B4C279A-24C3-4A5D-8B06-F1D583E1BAFBQ54272650-8AB8D061-12A3-4A01-B344-3786D1CFF94FQ54988033-275A03DB-212E-4164-B878-076BECEC3D1BQ54988037-883C1F97-5FCE-457A-95D6-9E070E15C632Q54988064-90521927-85BC-44B2-8529-BED0D4E1841EQ54988066-B222C4E9-036A-4981-AB1A-8BBBF0E91664Q54988068-448DF9E3-3F72-46C7-8DF4-B28460A3406FQ54988069-8E7C00C5-9149-4B02-B0B9-E5B086AD4D02Q54988074-268536F6-0424-4C0B-BDBC-0658C60BB493Q54988076-FF470C4E-F1C4-4504-A0B7-F76CA8D0E5E0Q54988078-CF99FE79-CC56-4F5A-989B-21F341A7C0B9Q54988079-97F6ACF6-8A42-440A-971F-535D13BFE630Q54988081-B8A84D09-D4DA-418C-82C6-FAA730654D03Q54988083-DE1AA2C5-3C6F-42C4-96B0-B956EBB1D406Q54988085-22C60D4C-7EBB-41E4-8BA7-D422F13F5096Q54988089-D008D0A7-193A-49BC-BDEA-CCC376A91B4BQ54988092-DDD4F36F-7559-4B5D-A18D-A49C0AC781ACQ54988094-6E778D17-11F2-4F16-9154-DD7B7547F0F8Q54988098-6A0EA9A2-6F9B-4BFB-BCD1-E70DCB4B40E7Q54988099-4D29DA15-74CC-45DE-A152-679E51F13A76Q56443899-656DDA08-FD44-45F3-B00E-FCBB419D751AQ56928501-581437DF-8E6B-4FE4-B62C-0B16D7231E66Q92553793-48B6A06A-308E-4C24-B879-D69B508617C6
P50
description
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Temilola Fatoyinbo
@ast
Temilola Fatoyinbo
@en
Temilola Fatoyinbo
@es
Temilola Fatoyinbo
@nl
Temilola Fatoyinbo
@sl
type
label
Temilola Fatoyinbo
@ast
Temilola Fatoyinbo
@en
Temilola Fatoyinbo
@es
Temilola Fatoyinbo
@nl
Temilola Fatoyinbo
@sl
prefLabel
Temilola Fatoyinbo
@ast
Temilola Fatoyinbo
@en
Temilola Fatoyinbo
@es
Temilola Fatoyinbo
@nl
Temilola Fatoyinbo
@sl
P108
P106
P2456
P31
P496
0000-0002-1130-6748