Lyndon D. Estes

Orcid: 0000-0002-9358-816X

According to our database1, Lyndon D. Estes authored at least 17 papers between 2015 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
The first global agricultural field boundary map at 10m resolution.
CoRR, May, 2026

PRUE: A Practical Recipe for Field Boundary Segmentation at Scale.
CoRR, March, 2026

2024
A region-wide, multi-year set of crop field boundary labels for Africa.
CoRR, 2024

Generalization Enhancement Strategies to Enable Cross-year Cropland Mapping with Convolutional Neural Networks Trained Using Historical Samples.
CoRR, 2024

2023
Correction: Xiong et al. Probabilistic Tracking of Annual Cropland Changes over Large, Complex Agricultural Landscapes Using Google Earth Engine. Remote Sens. 2022, 14, 4896.
Remote. Sens., October, 2023

Cropland Mapping in Tropical Smallholder Systems with Seasonally Stratified Sentinel-1 and Sentinel-2 Spectral and Textural Features.
Remote. Sens., June, 2023

A super-ensemble approach to map land cover types with high resolution over data-sparse African savanna landscapes.
Int. J. Appl. Earth Obs. Geoinformation, February, 2023

Dataset, January, 2023

A review of technical factors to consider when designing neural networks for semantic segmentation of Earth Observation imagery.
CoRR, 2023

2022
Probabilistic Tracking of Annual Cropland Changes over Large, Complex Agricultural Landscapes Using Google Earth Engine.
Remote. Sens., 2022

2021
High Resolution, Annual Maps of Field Boundaries for Smallholder-Dominated Croplands at National Scales.
Frontiers Artif. Intell., 2021

2020
Accounting for Training Data Error in Machine Learning Applied to Earth Observations.
Remote. Sens., 2020

2019
A high-frequency mobile phone data collection approach for research in social-environmental systems: Applications in climate variability and food security in sub-Saharan Africa.
Environ. Model. Softw., 2019

2018
On the Use of Unmanned Aerial Systems for Environmental Monitoring.
Remote. Sens., 2018

2017
Integrating active learning and crowdsourcing into large-scale supervised landcover mapping algorithms.
PeerJ Prepr., 2017

2016
A platform for crowdsourcing the creation of representative, accurate landcover maps.
Environ. Model. Softw., 2016

2015
Mapping Cropland in Smallholder-Dominated Savannas: Integrating Remote Sensing Techniques and Probabilistic Modeling.
Remote. Sens., 2015


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