Paper
19 January 2024 Pixel-level land cover change detection in the Loess Plateau based on different data
Xinyang Zhang, Qiaoli Wu, Jie Jiang, Yujie Pei
Author Affiliations +
Proceedings Volume 12980, Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023); 129800Z (2024) https://doi.org/10.1117/12.3020898
Event: Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023), 2023, Lianyungang, China
Abstract
The implementation of ecological engineering such as afforestation and reforestation in the Loess Plateau over the past two decades has brought significant changes to its land use and land cover (LULC). However, the differing spatial resolutions of land use data from various sources hinder an objective analysis of the effects of national ecological projects on vegetation growth in the Loess Plateau. Based on the commonly used MODIS LULC data and the latest CLCD LULC dataset from Wuhan University, the land use transition matrix calculation and change pixel detection were conducted for the period between 2001 and 2019 in the Loess Plateau. The analysis of the CLCD LULC data revealed that grass, cropland, and forest dominate the land use types in the Loess Plateau. Over the past two decades, approximately 15% (around 97000 km2 ) of the Loess Plateau experienced land use changes. During this period, the forest and grass areas increased by 14025 km2 and 7262 km2 , respectively. These increases were mainly due to the conversion from cropland and shrub, which saw decreases in area by -18843 km2 and -1671 km2 , respectively. The patterns of land use changes were consistent across the seven provinces and regions within the Loess Plateau, with notable afforestation effects observed in Shanxi and Shaanxi provinces, where forest increased by 6303 km2 and 4143 km2 , respectively. Inner Mongolia primarily witnessed grassland restoration, resulting in a substantial growth of 5879 km2 in grass. However, the results obtained from MODIS LULC data were contradictory. According to these results, the cropland area in the Loess Plateau increased by 20688 km2 , while the grass area decreased by 26635 km2 between 2001 and 2019, constituting 32.4% and 41.7% of the total changed area, respectively. The study outcomes provide valuable insights for scientifically analyzing the ecological benefits of afforestation and reforestation projects in the Loess Plateau, serving as a reference for improving the accuracy of carbon sink estimation in ecological engineering efforts.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xinyang Zhang, Qiaoli Wu, Jie Jiang, and Yujie Pei "Pixel-level land cover change detection in the Loess Plateau based on different data", Proc. SPIE 12980, Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023), 129800Z (19 January 2024); https://doi.org/10.1117/12.3020898
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