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An Automatic and Operational Method for Land Cover Change Detection Using Spatiotemporal Analysis of MODIS Data: A Northern Ontario (Canada) Case Study

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Department of Earth and Space Science and Engineering, York University, Toronto, ON M3J 1P3, Canada
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Academic Editor: Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2021, 10(5), 325; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10050325
Received: 30 March 2021 / Revised: 7 May 2021 / Accepted: 9 May 2021 / Published: 11 May 2021
Mapping and understanding the differences in land cover and land use over time is an essential component of decision-making in sectors such as resource management, urban planning, and forest fire management, as well as in tracking of the impacts of climate change. Existing methods sometimes pose a barrier to the effective monitoring of changes in land cover and land use, since a threshold parameter is often needed and determined based on trial and error. This study aimed to develop an automatic and operational method for change detection on a large scale from Moderate Resolution Imaging Spectroradiometer (MODIS) data. Super pixels were the basic unit of analysis instead of traditional individual pixels. T2 tests based on the feature vectors of temporal Normalized Difference Vegetation Index (NDVI) and land surface temperature were used for change detection. The developed method was applied to data over a predominantly vegetated area in northern Ontario, Canada spanning 120,000 sq. km from 2001–2016. The accuracies ranged between 78% and 88% for the NDVI-based test, from 74% to 86% for the LST-based test, and from 70% to 86% for the joint method compared with manual interpretation. Our proposed method for detecting land cover change provides a functional and viable alternative to existing methods of land cover change detection as it is reliable, repeatable, and free from uncertainty in establishing a threshold for change. View Full-Text
Keywords: MODIS; T-squared test; automatic; land cover change detection; operational; super pixels MODIS; T-squared test; automatic; land cover change detection; operational; super pixels
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MDPI and ACS Style

Ituen, I.; Hu, B. An Automatic and Operational Method for Land Cover Change Detection Using Spatiotemporal Analysis of MODIS Data: A Northern Ontario (Canada) Case Study. ISPRS Int. J. Geo-Inf. 2021, 10, 325. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10050325

AMA Style

Ituen I, Hu B. An Automatic and Operational Method for Land Cover Change Detection Using Spatiotemporal Analysis of MODIS Data: A Northern Ontario (Canada) Case Study. ISPRS International Journal of Geo-Information. 2021; 10(5):325. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10050325

Chicago/Turabian Style

Ituen, Ima, and Baoxin Hu. 2021. "An Automatic and Operational Method for Land Cover Change Detection Using Spatiotemporal Analysis of MODIS Data: A Northern Ontario (Canada) Case Study" ISPRS International Journal of Geo-Information 10, no. 5: 325. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10050325

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