eprintid: 10201557
rev_number: 9
eprint_status: archive
userid: 699
dir: disk0/10/20/15/57
datestamp: 2024-12-13 12:53:11
lastmod: 2024-12-13 12:53:11
status_changed: 2024-12-13 12:53:11
type: article
metadata_visibility: show
sword_depositor: 699
creators_name: Lewis, Philip E
creators_name: Yin, Feng
creators_name: Gómez-Dans, Jose Luis
creators_name: Weiß, Thomas
creators_name: Adam, Elhadi
title: Crop Yield Mapping with ARC using only Optical Remote Sensing
ispublished: pub
divisions: UCL
divisions: B03
divisions: C03
divisions: F26
keywords: Remote Sensing, Radiative Transfer, Big Data, Crop Monitoring, Crop Yield, Sentinel-2 MSI, Biophysical Parameters
note: Copyright © Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/).
abstract: ARC is a new method to generates time series of a full set of biophysical parameters derived from optical EO. Here, we examine relationships between this ‘full’ set and maize yield. 15 Parameters per pixel are estimated over the US corn belt using ARC, to fully describe the phenology, soil, and crop status over time for typical behaviour. ARC is tested for a new model over an area of irrigated and rain-fed winter crop in South Africa. We find that care must be taken for episodic events, and robust filtering methods should be developed for ARC, but average magnitude and timing is well-expressed. We find that a robust yield model (over time and space) can be created at the county-level for maize using only EO parameters with RMSE of 704-938 kg/ha using a non-linear model, but the results are only slightly poorer if a linear model is used. It compares well to a model that also includes weather data, showing that a model can be driven by optical EO data alone.
date: 2024-11-04
date_type: published
publisher: Copernicus GmbH
official_url: https://doi.org/10.5194/isprs-annals-x-3-2024-199-2024
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2337507
doi: 10.5194/isprs-annals-x-3-2024-199-2024
lyricists_name: Lewis, Philip
lyricists_id: PELEW26
actors_name: Lewis, Philip
actors_id: PELEW26
actors_role: owner
full_text_status: public
publication: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
volume: X-3
pagerange: 199-206
issn: 2194-9050
citation:        Lewis, Philip E;    Yin, Feng;    Gómez-Dans, Jose Luis;    Weiß, Thomas;    Adam, Elhadi;      (2024)    Crop Yield Mapping with ARC using only Optical Remote Sensing.                   ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences , X-3    pp. 199-206.    10.5194/isprs-annals-x-3-2024-199-2024 <https://doi.org/10.5194/isprs-annals-x-3-2024-199-2024>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10201557/7/Lewis_isprs-annals-X-3-2024-199-2024.pdf