Abstract
New types of remote sensed land cover datasets provide key evidence for understanding global environmental change. However, low data consistency makes understanding the changes unclear. China has become a hot spot of land cover change in the world due to climate change and a series of human measures, such as ecological engineering, land consolidation, and urbanization. However, due to the inconsistencies in interpretation of signs and thresholds, the understanding of yearly-continued land cover changes in China is still unclear. We aim to produce China’s land cover fraction dataset from 2001 to 2015 by weighted consistency analysis. We compare the Moderate-resolution Imaging Spectroradiometer land cover dataset (MCD12Q1), the Climate Change Initiative Land Cover (CCI-LC) datasets, and a new land cover fraction dataset named China-LCFMCD-CCI, produced with a 1 km resolution. The obvious increased forest areas only accounted for 4.6% of the total forest areas, and were mainly distributed in northeast China. Approximately 75.8% of the grassland and shrubland areas decreased in size, and these areas were relatively concentrated in northeast and south China. The obvious increased areas of cropland (3.7%) were equal to the obvious decreased areas (3.6%), and the increased cropland areas were in northwest China. The change in bare land was not obvious, as the obvious increased areas only accounted for 0.75% of the bare land areas. The results not only prove that the data fusion of the weighted consistency method is feasible to form a land cover fraction dataset, but also helps to fully reveal the trends in land cover fraction change in China.
Highlights
IntroductionLand cover is a dynamic variable that changes rapidly across the globe [1,2]
Introduction published maps and institutional affilLand cover is a dynamic variable that changes rapidly across the globe [1,2]
Huang et al [41] used all Landsat images from the Google Earth Engine to create a dynamic map of the major land cover from 1985 to 2015 in Beijing, and they to create a dynamic map of the major land cover from 1985 to 2015 in Beijing, and they found found that the percentage of forest gain (21.8%) was greater than the percentage of forest that the percentage of forest gain (21.8%) was greater than the percentage of forest lost (2.1%)
Summary
Land cover is a dynamic variable that changes rapidly across the globe [1,2]. High-quality and timely land cover information is important for addressing global environmental change issues [3]. Global land cover datasets provide fundamental information on land surfaces and are important variables in environmental research [2,4,5]. With the continuous development of remote sensing technology, various global and regional land cover products have emerged, such as International Geosphere-Biosphere Programme, Data and Information Systems (IGBP-DIS) land cover [6], Global Land Cover 2000 (GLC2000) [7], Globeland30 [8], and so on. To identify the relative certain trends in land cover change, there is an urgent need for interactive verification between multi-source data
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