Remotely-Sensed Surface Temperature and Vegetation Status for the Assessment of Decadal Change in the Irrigated Land Cover of North-Central Victoria, Australia
Monitoring of irrigated land cover is important for both resource managers and farmers. An operational approach is presented to use the satellite-derived surface temperature and vegetation cover in order to distinguish between irrigated and non-irrigated land. Using an iterative thresholding procedu...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/9/9/308 |
| _version_ | 1797554780339437568 |
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| author | Mohammad Abuzar Andy McAllister Des Whitfield Kathryn Sheffield |
| author_facet | Mohammad Abuzar Andy McAllister Des Whitfield Kathryn Sheffield |
| author_sort | Mohammad Abuzar |
| collection | DOAJ |
| description | Monitoring of irrigated land cover is important for both resource managers and farmers. An operational approach is presented to use the satellite-derived surface temperature and vegetation cover in order to distinguish between irrigated and non-irrigated land. Using an iterative thresholding procedure to minimize within-class variance, the bilevel segmentation of surface temperature and vegetation cover was achieved for each irrigation period (Spring, Summer and Autumn). The three periodic profiles were used to define irrigation land covers from 2008–2009 to 2018–2019 in a key agricultural region of Australia. The overall accuracy of identifying farms with irrigated land cover amounted to 95.7%. Total irrigated land cover was the lowest (approximately 200,000 ha) in the 2008–2009 crop year which increased more than three-fold in 2012–2013, followed by a gradual decline in the following years. Satellite images from Landsat series (L-5, L-7 and L-8), Sentinel-2 and ASTER were found suitable for land cover classification, which is scalable from farm to regional levels. For this reason, the results are desirable for a range of stakeholders. |
| first_indexed | 2024-03-10T16:37:56Z |
| format | Article |
| id | doaj.art-8254f58f978f40ef9e83e0d601e069a3 |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-10T16:37:56Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-8254f58f978f40ef9e83e0d601e069a32023-11-20T12:19:27ZengMDPI AGLand2073-445X2020-09-019930810.3390/land9090308Remotely-Sensed Surface Temperature and Vegetation Status for the Assessment of Decadal Change in the Irrigated Land Cover of North-Central Victoria, AustraliaMohammad Abuzar0Andy McAllister1Des Whitfield2Kathryn Sheffield3Agriculture Victoria Research, Department of Jobs, Precincts and Regions (DJPR), AgriBio, 5 Ring Road, Bundoora 3083, AustraliaAgriculture Victoria Research, Department of Jobs, Precincts and Regions (DJPR), 255 Ferguson Road, Tatura 3016, AustraliaAgriculture Victoria Research, Department of Jobs, Precincts and Regions (DJPR), 255 Ferguson Road, Tatura 3016, AustraliaAgriculture Victoria Research, Department of Jobs, Precincts and Regions (DJPR), AgriBio, 5 Ring Road, Bundoora 3083, AustraliaMonitoring of irrigated land cover is important for both resource managers and farmers. An operational approach is presented to use the satellite-derived surface temperature and vegetation cover in order to distinguish between irrigated and non-irrigated land. Using an iterative thresholding procedure to minimize within-class variance, the bilevel segmentation of surface temperature and vegetation cover was achieved for each irrigation period (Spring, Summer and Autumn). The three periodic profiles were used to define irrigation land covers from 2008–2009 to 2018–2019 in a key agricultural region of Australia. The overall accuracy of identifying farms with irrigated land cover amounted to 95.7%. Total irrigated land cover was the lowest (approximately 200,000 ha) in the 2008–2009 crop year which increased more than three-fold in 2012–2013, followed by a gradual decline in the following years. Satellite images from Landsat series (L-5, L-7 and L-8), Sentinel-2 and ASTER were found suitable for land cover classification, which is scalable from farm to regional levels. For this reason, the results are desirable for a range of stakeholders.https://www.mdpi.com/2073-445X/9/9/308land coverirrigationsatellite imagesagricultureremote sensing |
| spellingShingle | Mohammad Abuzar Andy McAllister Des Whitfield Kathryn Sheffield Remotely-Sensed Surface Temperature and Vegetation Status for the Assessment of Decadal Change in the Irrigated Land Cover of North-Central Victoria, Australia Land land cover irrigation satellite images agriculture remote sensing |
| title | Remotely-Sensed Surface Temperature and Vegetation Status for the Assessment of Decadal Change in the Irrigated Land Cover of North-Central Victoria, Australia |
| title_full | Remotely-Sensed Surface Temperature and Vegetation Status for the Assessment of Decadal Change in the Irrigated Land Cover of North-Central Victoria, Australia |
| title_fullStr | Remotely-Sensed Surface Temperature and Vegetation Status for the Assessment of Decadal Change in the Irrigated Land Cover of North-Central Victoria, Australia |
| title_full_unstemmed | Remotely-Sensed Surface Temperature and Vegetation Status for the Assessment of Decadal Change in the Irrigated Land Cover of North-Central Victoria, Australia |
| title_short | Remotely-Sensed Surface Temperature and Vegetation Status for the Assessment of Decadal Change in the Irrigated Land Cover of North-Central Victoria, Australia |
| title_sort | remotely sensed surface temperature and vegetation status for the assessment of decadal change in the irrigated land cover of north central victoria australia |
| topic | land cover irrigation satellite images agriculture remote sensing |
| url | https://www.mdpi.com/2073-445X/9/9/308 |
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