Evaluating the reliability of time series land cover maps by exploiting the hidden Markov model
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ORIGINAL PAPER
Evaluating the reliability of time series land cover maps by exploiting the hidden Markov model Guang Yang1
•
Shenghui Fang2 • Wenbing Gong2 • Yaolong Zhao1 • Mengyu Ge2
Accepted: 17 October 2020 Ó The Author(s) 2020
Abstract Time series land cover maps are important materials for the work related to land use and land cover change. Satellite remote sensing images prove advantageous in fast mapping with low cost. In most time series land cover products yielded by the satellite remote sensing images, a number of illogical transitions exist between different time phases. The time series land cover products cannot exactly reflect the real land cover types and land cover changes for each pixel. The accuracy evaluation based on the limited ground truth cannot well guide the users because the reliability of different pixels of the land cover products is unknown. A generic model for the reliability evaluation of time series land cover products should be developed based on a strong theoretical frame. In order to better guide the use of the land cover products, this paper proposed an approach to evaluate the reliability of time series land cover products by exploiting the joint probability of hidden Markov model (HMM), in which the classification performance and the spatio-temporal relationships were taken into account. We applied the proposed evaluation method on the time series land cover maps of Poyang Lake Ecoeconomic Region in China. The reliability of the land cover products was presented by the grading of the joint probability of HMM. The results effectively reflected the classification performance, the spatio-temporal relationships and even the quality of the data source. Keywords Land cover maps Illogical transitions Reliability Joint probability Hidden Markov model Spatio-temporal relationships
1 Introduction Time series land cover maps are the basis of change studies at the large scale (Peng et al. 2019; Shimabukuro et al. 2019; Xia et al. 2019). The usability of the land cover products closely relates to their reliability (Corves and Place 1994). Satellite remote sensing images are common for large scale LAND COVER mapping (Homer et al. 2004; Bartholome and Belward 2005). The reliability of the land cover maps produced by time series satellite remote & Shenghui Fang [email protected] Guang Yang [email protected] 1
School of Geography, South China Normal University, Guangzhou 510631, Guangdong, China
2
School of Remote Sensing Information Engineering, Wuhan University, Wuhan 430079, Hubei, China
sensing images is quite low in certain areas owing to the classification strategies and the discrepancies of image qualities (Cai et al. 2014). Correct evaluation of land cover products will guide the application of the products, thus reducing the contrasts between the effect of practical applications and the expectation of the users. In other words, the application risk will be reduced. In this sense, the quality evaluation of land cover maps is really important. There exist various gl
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