Lonesome Malambo

Orcid: 0000-0002-8102-3700

According to our database1, Lonesome Malambo authored at least 14 papers between 2016 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Image to Image Deep Learning for Enhanced Vegetation Height Modeling in Texas.
Remote. Sens., November, 2023

ICESat-2 for Canopy Cover Estimation at Large-Scale on a Cloud-Based Platform.
Sensors, April, 2023

A Methodological Framework for Mapping Canopy Cover Using ICESat-2 in the Southern USA.
Remote. Sens., March, 2023

Landsat-Scale Regional Forest Canopy Height Mapping Using ICESat-2 Along-Track Heights: Case Study of Eastern Texas.
Remote. Sens., January, 2023

2022
Woody Plant Encroachment: Evaluating Methodologies for Semiarid Woody Species Classification from Drone Images.
Remote. Sens., 2022

2020
Using ICESat-2 to Estimate and Map Forest Aboveground Biomass: A First Example.
Remote. Sens., 2020

PhotonLabeler: An Inter-Disciplinary Platform for Visual Interpretation and Labeling of ICESat-2 Geolocated Photon Data.
Remote. Sens., 2020

Feasibility of Burned Area Mapping Based on ICESAT-2 Photon Counting Data.
Remote. Sens., 2020

2019
Synergy of ICESat-2 and Landsat for Mapping Forest Aboveground Biomass with Deep Learning.
Remote. Sens., 2019

A Deep Learning Semantic Segmentation-Based Approach for Field-Level Sorghum Panicle Counting.
Remote. Sens., 2019

2018
Measurement and Calibration of Plant-Height from Fixed-Wing UAV Images.
Sensors, 2018

From LiDAR Waveforms to Hyper Point Clouds: A Novel Data Product to Characterize Vegetation Structure.
Remote. Sens., 2018

Multitemporal field-based plant height estimation using 3D point clouds generated from small unmanned aerial systems high-resolution imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2018

2016
A Multitemporal Profile-Based Interpolation Method for Gap Filling Nonstationary Data.
IEEE Trans. Geosci. Remote. Sens., 2016


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