Climate impacts on wheat phenology and production using mutisource data in NSW, Australia

Shen, J; Tran, NN; Devadas, R; Huete, A; Zhang, H; Yu, Q

Climate impacts on wheat phenology and production using mutisource data in NSW, Australia

Shen, J Tran, NN Devadas, R

Huete, A

Zhang, H Yu, Q

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: International Geoscience and Remote Sensing Symposium (IGARSS), 2016, 2016-November, pp. 6296-6299
Issue Date:: 2016-11-01

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Field	Value	Language
dc.contributor.author	Shen, J
dc.contributor.author	Tran, NN
dc.contributor.author	Devadas, R https://orcid.org/0000-0002-2085-6442
dc.contributor.author	Huete, A https://orcid.org/0000-0003-2809-2376
dc.contributor.author	Zhang, H
dc.contributor.author	Yu, Q https://orcid.org/0000-0001-6950-1821
dc.date	2016-07-10
dc.date.accessioned	2022-03-18T03:49:00Z
dc.date.available	2022-03-18T03:49:00Z
dc.date.issued	2016-11-01
dc.identifier.citation	International Geoscience and Remote Sensing Symposium (IGARSS), 2016, 2016-November, pp. 6296-6299
dc.identifier.isbn	9781509033324
dc.identifier.issn	2153-6996
dc.identifier.uri	http://hdl.handle.net/10453/155322
dc.description.abstract	© 2016 IEEE.Wheat is the most important grain crop in Australia, which plays a significant role in world grain-trading market. However, climate warming, water shortage, as well as more frequent extreme weather events (e.g., heatwaves, droughts and floods), under pressure of food demand, would pose great risks to all aspects of wheat production worldwide, especially in Australia with high climate variability. This study aggregated multi-source observational data by using meteorological statistics, in-situ investigation data and the MODIS Enhanced Vegetation Index (EVI) product to explore and examine the correlation between climate variability and spatial-temporal patterns of wheat phenology metrics and productivity. The results from tests over 370 wheat trial sites showed: 1) narrower and earlier sowing and harvesting windows occurred in a drought year (2006) compared with a normal year (2005). Differences in sowing and harvesting window lengths were 9 and 5 days, respectively; 2) different weather patterns in each agro-climatic zone were followed by different remotely sensed crop EVI seasonality profiles. Crop growth was least affected by climate variability in agro-climate region E2, which is located in the south part of study area. This study reveals new information on cropland-climate relationships across the wheat belt in NSW in a changing climate.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	International Geoscience and Remote Sensing Symposium (IGARSS)
dc.relation.ispartof	IEEE International Geoscience and Remote Sensing Symposium
dc.relation.ispartofseries	IEEE International Symposium on Geoscience and Remote Sensing IGARSS
dc.relation.isbasedon	10.1109/IGARSS.2016.7730646
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Climate impacts on wheat phenology and production using mutisource data in NSW, Australia
dc.type	Conference Proceeding
utslib.citation.volume	2016-November
utslib.location.activity	Beijing, China
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Students
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-03-18T03:48:59Z
pubs.finish-date	2016-07-15
pubs.publication-status	Published
pubs.start-date	2016-07-10
pubs.volume	2016-November

Abstract:

© 2016 IEEE.Wheat is the most important grain crop in Australia, which plays a significant role in world grain-trading market. However, climate warming, water shortage, as well as more frequent extreme weather events (e.g., heatwaves, droughts and floods), under pressure of food demand, would pose great risks to all aspects of wheat production worldwide, especially in Australia with high climate variability. This study aggregated multi-source observational data by using meteorological statistics, in-situ investigation data and the MODIS Enhanced Vegetation Index (EVI) product to explore and examine the correlation between climate variability and spatial-temporal patterns of wheat phenology metrics and productivity. The results from tests over 370 wheat trial sites showed: 1) narrower and earlier sowing and harvesting windows occurred in a drought year (2006) compared with a normal year (2005). Differences in sowing and harvesting window lengths were 9 and 5 days, respectively; 2) different weather patterns in each agro-climatic zone were followed by different remotely sensed crop EVI seasonality profiles. Crop growth was least affected by climate variability in agro-climate region E2, which is located in the south part of study area. This study reveals new information on cropland-climate relationships across the wheat belt in NSW in a changing climate.

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http://hdl.handle.net/10453/155322