Updating Landsat-based forest cover maps with MODIS images using multiscale spectral-spatial-temporal superresolution mapping

Zhang, Yihang and Li, Xiaodong and Ling, Feng and Atkinson, Peter M. and Ge, Yong and Shi, Lingfei and Du, Yun (2017) Updating Landsat-based forest cover maps with MODIS images using multiscale spectral-spatial-temporal superresolution mapping. International Journal of Applied Earth Observation and Geoinformation, 63. pp. 129-142. ISSN 0303-2434

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Abstract

Abstract With the high deforestation rates of global forest covers during the past decades, there is an ever-increasing need to monitor forest covers at both fine spatial and temporal resolutions. Moderate Resolution Imaging Spectroradiometer (MODIS) and Landsat series images have been used commonly for satellite-derived forest cover mapping. However, the spatial resolution of MODIS images and the temporal resolution of Landsat images are too coarse to observe forest cover at both fine spatial and temporal resolutions. In this paper, a novel multiscale spectral-spatial-temporal superresolution mapping (MSSTSRM) approach is proposed to update Landsat-based forest maps by integrating current MODIS images with the previous forest maps generated from Landsat image. Both the 240 m MODIS bands and 480 m MODIS bands were used as inputs of the spectral energy function of the MSSTSRM model. The principle of maximal spatial dependence was used as the spatial energy function to make the updated forest map spatially smooth. The temporal energy function was based on a multiscale spatial-temporal dependence model, and considers the land cover changes between the previous and current time. The novel MSSTSRM model was able to update Landsat-based forest maps more accurately, in terms of both visual and quantitative evaluation, than traditional pixel-based classification and the latest sub-pixel based super-resolution mapping methods The results demonstrate the great efficiency and potential of MSSTSRM for updating fine temporal resolution Landsat-based forest maps using MODIS images.

Item Type:
Journal Article
Journal or Publication Title:
International Journal of Applied Earth Observation and Geoinformation
Additional Information:
This is the author’s version of a work that was accepted for publication in International Journal of Applied Earth Observation and Geoinformation. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Applied Earth Observation and Geoinformation, 63, 2017 DOI: 10.1016/j.jag.2017.07.017
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2300/2308
Subjects:
ID Code:
87326
Deposited By:
Deposited On:
22 Aug 2017 07:58
Refereed?:
Yes
Published?:
Published
Last Modified:
19 Sep 2020 04:44