Identifying crop growth performance through timely crop biophysical monitoring using multi-sensor satellite imagery
Identifying crop growth performance through timely crop biophysical monitoring using multi-sensor satellite imagery
Artificial satellites in agriculture. Field crops -- Remote sensing. Winter wheat -- Growth. Winter wheat -- Yields. Winter wheat -- Forecasting.
University College Dublin
Goh, Erin
6c1b543b-bdc7-4d85-b7cc-d9ed2c9fc4d3
1 September 2023
Goh, Erin
6c1b543b-bdc7-4d85-b7cc-d9ed2c9fc4d3
Holden, Nicholas
0f7d3626-2d47-48cd-9a51-8ae25a6f31f2
Goh, Erin
(2023)
Identifying crop growth performance through timely crop biophysical monitoring using multi-sensor satellite imagery.
Doctoral Thesis, 294pp.
Record type:
Thesis
(Doctoral)
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Published date: 1 September 2023
Keywords:
Artificial satellites in agriculture. Field crops -- Remote sensing. Winter wheat -- Growth. Winter wheat -- Yields. Winter wheat -- Forecasting.
Identifiers
Local EPrints ID: 489982
URI: http://eprints.soton.ac.uk/id/eprint/489982
PURE UUID: a53e7fa0-9944-4228-9e0b-9de1f8e76d46
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Date deposited: 09 May 2024 16:36
Last modified: 10 May 2024 02:05
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Contributors
Author:
Erin Goh
Thesis advisor:
Nicholas Holden
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