Roger A. Lawes

According to our database, Roger A. Lawes authored at least 7 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Tackling fluffy clouds: field boundaries detection using time series of S2 and/or S1 imagery.

Foivos I. Diakogiannis, Zheng-Shu Zhou, Jeff Wang, Gonzalo Mata, Dave Henry, Roger A. Lawes, Amy Parker, Peter Caccetta, Rodrigo Ibata, Ondrej Hlinka, Jonathan Richetti, Kathryn Batchelor, Chris Herrmann, Andrew Toovey, John Taylor

CoRR, 2024

2023

Estimating Crop Sowing and Harvesting Dates Using Satellite Vegetation Index: A Comparative Analysis.

Grazieli Rodigheri, Ieda Del'Arco Sanches, Jonathan Richetti, Rodrigo Yoiti Tsukahara, Roger A. Lawes, Hugo do Nascimento Bendini, Marcos Adami

Remote. Sens., November, 2023

A framework for modelling spatio-temporal trends in crop production using generalised additive models.

Michael J. Wellington, Roger A. Lawes, Petra M. Kuhnert

Comput. Electron. Agric., September, 2023

A methods guideline for deep learning for tabular data in agriculture with a case study to forecast cereal yield.

Jonathan Richetti, Foivos I. Diakogiannis, Asher Bender, André F. Colaço, Roger A. Lawes

Comput. Electron. Agric., February, 2023

2022

Modelling Within-Season Variation in Light Use Efficiency Enhances Productivity Estimates for Cropland.

Michael J. Wellington, Petra M. Kuhnert, Luigi J. Renzullo, Roger A. Lawes

Remote. Sens., 2022

2020

To Blend or Not to Blend? A Framework for Nationwide Landsat-MODIS Data Selection for Crop Yield Prediction.

Yang Chen, Tim R. McVicar, Randall J. Donohue, Nikhil Garg, François Waldner, Noboru Ota, Lingtao Li, Roger A. Lawes

Remote. Sens., 2020

2016

A crowding-dependent population model for woody weeds - Where size does matter.

Andrew F. Zull, Roger A. Lawes, Oscar J. Cacho

Environ. Model. Softw., 2016