Assessing Land Degradation and Restoration in Eastern China Grasslands from 1985 to 2018 Using Multitemporal Landsat Data

IF 4.7 2区 地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Caixia Liu;Huabing Huang;John M. Melack;Ye Tian;Jinxiong Jiang;Xiao Fu;Zhiguo Cao;Shaohua Wang
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Abstract

The grassland ecosystems of Xilingol, China, characteristically part of the vast Eurasian steppe, are currently facing two challenges: natural variations and anthropogenic stress, which are leading to significant degradation. This article harnesses a sequence of high-resolution (30 m) land cover and greenness trend maps derived from multiyear Landsat imagery to describe these ecologically critical shifts over a landscape spanning more than 200 000 km 2 . By leveraging random forest models complemented with phenological patterns, we streamlined the generation of land cover maps, securing overall accuracies upwards of 94% across eight categorical classifications, as substantiated by rigorous validation. Between 1985 and 2000, there were significant changes in the landscape, such as an increase in farmland of about 4.0 × 10 3 km 2 , mostly at the expense of natural grasslands and wetlands. Throughout the study period, an ongoing trend is the noticeable shrinkage of water bodies with the biggest reduction of wetlands reported between 1995 and 2015. Open-pit mining regions began to increase with the start of the 21st century, and from 1985 to the present, urbanization drove the growth of impervious surfaces. These maps offer powerful visual representations of major land use changes, capturing the expansion of surface mining, the retreat of wetland areas, and the growth of urban areas. Therefore, our findings compose an essential part in the documentation and comprehension of the details of wetland reduction, cropland intensification, surface water decline, and rapid urban growth, providing crucial information to conservationists and policymakers working toward sustainable ecosystem management.
利用多时相大地遥感数据评估 1985 年至 2018 年中国东部草原的土地退化和恢复情况
中国锡林郭勒的草原生态系统是广袤的欧亚大草原的典型组成部分,目前正面临着两大挑战:自然变化和人为压力,这导致了草原的严重退化。本文利用从多年陆地卫星图像中提取的一系列高分辨率(30 米)土地覆被和绿化趋势图,描述了在面积超过 20 万平方公里的地形上发生的这些生态关键变化。通过利用随机森林模型并辅以物候模式,我们简化了土地覆被图的生成过程,在八种分类中确保了高达 94% 的总体准确率,并通过了严格的验证。1985 年至 2000 年期间,地貌发生了显著变化,例如农田面积增加了约 4.0 × 103 平方公里,这主要是以牺牲天然草地和湿地为代价的。在整个研究期间,一个持续的趋势是水体明显缩小,据报告,1995 年至 2015 年期间湿地减少最多。进入 21 世纪后,露天开采地区开始增加,从 1985 年至今,城市化推动了不透水表面的增加。这些地图有力地直观反映了土地利用的主要变化,捕捉到了露天采矿的扩张、湿地的退缩以及城市地区的增长。因此,我们的研究结果是记录和理解湿地减少、耕地集约化、地表水减少和城市快速增长等细节的重要组成部分,为致力于可持续生态系统管理的保护主义者和决策者提供了重要信息。
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来源期刊
CiteScore
9.30
自引率
10.90%
发文量
563
审稿时长
4.7 months
期刊介绍: The IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering, that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.
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