Early-season crop area estimates for winter crops in NE Australia using MODIS satellite imagery
Article
Article Title | Early-season crop area estimates for winter crops in NE Australia using MODIS satellite imagery |
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ERA Journal ID | 35511 |
Article Category | Article |
Authors | Potgieter, A. B. (Author), Apan, A. (Author), Hammer, G. (Author) and Dunn, P. (Author) |
Journal Title | ISPRS Journal of Photogrammetry and Remote Sensing |
Journal Citation | 65 (4), pp. 380-387 |
Number of Pages | 8 |
Year | 2010 |
Place of Publication | Netherlands |
ISSN | 0924-2716 |
1872-8235 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.isprsjprs.2010.04.004 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S0924271610000390 |
Abstract | To date, industry and crop forecasters have had a good idea of the potential crop yield for a specific season, but early-season information on crop area for a shire or region has been mostly unavailable. The question of how early and with what accuracy? area estimates can be determined using multi-temporal Moderate Resolution Imaging Spectroradiometer (MODIS) enhanced vegetation index (EVI) imagery was investigated in this paper. The study was conducted for two shires in Queensland, Australia for the 2003 and 2004 seasons, and focused on deriving total winter crop area estimates (including wheat, barley and chickpea). A simple metric (1E), which measures the green-up rate of the crop canopy, was derived. Using the unsupervised k-means classification algorithm, the accumulated difference of two consecutive images(one month apart) for three EVI threshold cut-offs (1Ei, where i D 250, 500 and 750) at monthly intervals from April to October was calculated. July showed the highest pixel accuracy with percent correctly classified for all thresholds of 94% and 98% for 2003 and 2004, respectively. The differences in accuracy between the three cut-offs were minimal and the T500 threshold was selected as the preferred cut-off to avoid measuring too small or too large fluctuations in the differential EVI values. When compared to the aggregated shire data (surveyed) on crop area across shires and seasons, average percent differences for the 1ET500 for July and August ranged from |
Keywords | early-season; crop area estimates; simple metric;multi-temporal; shire-scale |
ANZSRC Field of Research 2020 | 300206. Agricultural spatial analysis and modelling |
401304. Photogrammetry and remote sensing | |
300402. Agro-ecosystem function and prediction | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Department of Primary Industries, Queensland |
Department of Surveying and Land Information | |
University of Queensland | |
University of the Sunshine Coast | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q088z/early-season-crop-area-estimates-for-winter-crops-in-ne-australia-using-modis-satellite-imagery
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