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Open AccessArticle

Dynamic Monitoring of Forest Land in Fuling District Based on Multi-Source Time Series Remote Sensing Images

by Bingxin Bai 1, Yumin Tan 1,*, Dong Guo 2 and Bo Xu 3
1
School of Transportation Science and Engineering, Beihang University, Beijing 100191, China
2
Beijing Research Institute of Automation for Machinery Industry, Beijing 100120, China
3
Department of Geography & Environmental Studies, California State University, San Bernardino, CA 92407, USA
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(1), 36; https://doi.org/10.3390/ijgi8010036
Received: 28 October 2018 / Revised: 24 December 2018 / Accepted: 10 January 2019 / Published: 16 January 2019
(This article belongs to the Special Issue Multi-Source Geoinformation Fusion)
Time series remote sensing images can be used to monitor the dynamic changes of forest lands. Due to consistent cloud cover and fog, a single sensor typically provides limited data for dynamic monitoring. This problem is solved by combining observations from multiple sensors to form a time series (a satellite image time series). In this paper, the pixel-based multi-source remote sensing image fusion (MulTiFuse) method is applied to combine the Landsat time series and Huanjing-1 A/B (HJ-1 A/B) data in the Fuling district of Chongqing, China. The fusion results are further corrected and improved with spatial features. Dynamic monitoring and analysis of the study area are subsequently performed on the improved time series data using the combination of Mann-Kendall trend detection method and Theil Sen Slope analysis. The monitoring results show that a majority of the forest land (60.08%) has experienced strong growth during the 1999–2013 period. Accuracy assessment indicates that the dynamic monitoring using the fused image time series produces results with relatively high accuracies. View Full-Text
Keywords: time series; image fusion; dynamic monitoring; Landsat; HJ-1 A/B time series; image fusion; dynamic monitoring; Landsat; HJ-1 A/B
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Bai, B.; Tan, Y.; Guo, D.; Xu, B. Dynamic Monitoring of Forest Land in Fuling District Based on Multi-Source Time Series Remote Sensing Images. ISPRS Int. J. Geo-Inf. 2019, 8, 36.

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