Alemu Gonsamo

Orcid: 0000-0002-2461-618X

According to our database1, Alemu Gonsamo authored at least 12 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

Online presence:

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Bibliography

2024
A Deep Learning Approach to Estimate Canopy Height and Uncertainty by Integrating Seasonal Optical, SAR and Limited GEDI LiDAR Data over Northern Forests.
CoRR, 2024

2022
Spatially Continuous Mapping of Forest Canopy Height in Canada by Combining GEDI and ICESat-2 with PALSAR and Sentinel.
Remote. Sens., 2022

2019
Does Earlier and Increased Spring Plant Growth Lead to Reduced Summer Soil Moisture and Plant Growth on Landscapes Typical of Tundra-Taiga Interface?
Remote. Sens., 2019

2018
Comparative Performances of Airborne LiDAR Height and Intensity Data for Leaf Area Index Estimation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

2016
Inter- and intra-annual variations of clumping index derived from the MODIS BRDF product.
Int. J. Appl. Earth Obs. Geoinformation, 2016

2014
Improved LAI Algorithm Implementation to MODIS Data by Incorporating Background, Topography, and Foliage Clumping Information.
IEEE Trans. Geosci. Remote. Sens., 2014

Delineation of Rain Areas with TRMM Microwave Observations Based on PNN.
Remote. Sens., 2014

Validating and Linking the GIMMS Leaf Area Index (LAI3g) with Environmental Controls in Tropical Africa.
Remote. Sens., 2014

2013
Spectral Response Function Comparability Among 21 Satellite Sensors for Vegetation Monitoring.
IEEE Trans. Geosci. Remote. Sens., 2013

Experimental Evaluation of Sentinel-2 Spectral Response Functions for NDVI Time-Series Continuity.
IEEE Trans. Geosci. Remote. Sens., 2013

2010
Leaf area index retrieval using gap fractions obtained from high resolution satellite data: Comparisons of approaches, scales and atmospheric effects.
Int. J. Appl. Earth Obs. Geoinformation, 2010

2009
A Simplified Procedure for a Large Scale LAI Inversion from High Resolution Satellite Data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009


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