Land use and cover changes on the Loess Plateau: A comparison of six global or national land use and cover datasets

Sun, Wenyi; Ding, Xiaotong; Su, Jingbo; Mu, Xingmin; Zhang, Yongqiang; Gao, Peng; Zhao, Guangju

doi:10.1016/j.landusepol.2022.106165

Cited by 29 publications

(19 citation statements)

References 40 publications

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“…Our study found that high-risk areas in the YRBS are located in northern Shaanxi. This is related to the Loess Plateau region in the north, which has been studied by a large number of scholars [ 68 , 69 , 70 ]. However, the overall ecological risk management and control in northern Shaanxi has achieved preliminary results in the past 20 years.…”

Section: Discussionmentioning

confidence: 99%

Landscape Ecological Risk Assessment Based on Land Use Change in the Yellow River Basin of Shaanxi, China

Zhu

Mei

et al. 2022

IJERPH

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The Yellow River Basin in Shaanxi (YRBS) has a relatively fragile ecological environment, with severe soil erosion and a high incidence of natural and geological disasters. In this study, a river basin landscape ecological risk assessment model was constructed using landscape ecology principles to investigate the temporal and spatial evolution, as well as the spatial autocorrelation characteristics of landscape ecological risks in the YRBS over a 20-year period. The main findings from the YRBS were that the land use types changed significantly over the span of 20 years, there was spatial heterogeneity of the landscape pattern, and the ecological risk value was positively correlated. The threat of landscape ecological risks in YRBS is easing, but the pressure on the ecological environment is considerable. This study provides theoretical support administrative policies for future ecological risk assessment and protection, restoration measures, and control in the Yellow River Basin of Shaanxi Province.

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Section: Discussionmentioning

confidence: 99%

Landscape Ecological Risk Assessment Based on Land Use Change in the Yellow River Basin of Shaanxi, China

Zhu

Mei

et al. 2022

IJERPH

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“…This study compared four global open and high-resolution LULC datasets (ESRI, ESA, FROM-GLC10, and OSM) for blue space mapping in terms of their accuracy, precision, recall, and F1-score. Although other studies have compared different open LCLU datasets [35][36][37], most of these studies involved lower-resolution datasets (e.g., 20-100 m). This study found that all of the analyzed datasets achieve excellent accuracy.…”

Section: Discussionmentioning

confidence: 99%

Evaluation and Comparison of Open and High-Resolution LULC Datasets for Urban Blue Space Mapping

Zhou¹,

Jing²

2022

Remote Sensing

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Blue spaces (or water bodies) have a positive impact on the built-up environment and human health. Various open and high-resolution land-use/land-cover (LULC) datasets may be used for mapping blue space, but they have rarely been quantitatively evaluated and compared. Moreover, few studies have investigated whether existing 10-m-resolution LULC datasets can identify water bodies with widths as narrow as 10 m. To fill these gaps, this study evaluates and compares four LULC datasets (ESRI, ESA, FROM-GLC10, OSM) for blue space mapping in Great Britain. First, a buffer approach is proposed for the extraction of water bodies of different widths from a reference dataset. This approach is applied to each LULC dataset, and the results are compared in terms of accuracy, precision, recall, and the F1-score. We find that a high median accuracy (i.e., >98%) is achieved with all four LULC datasets. The OSM dataset gives the best recall and F1-score. Both the ESRI and ESA datasets produce better results than the FORM-GLC10 dataset. Additionally, the OSM dataset enables the identification of water bodies with widths of 10 m, whereas only water bodies with widths of 20 m or more can be identified in the other datasets. These findings may be beneficial for urban planners and designers in selecting an appropriate LULC dataset for blue space mapping.

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“…To meet the long-term span and effectively identify the vegetation within the city, we used the China land cover dataset (CLCD) with a 30 m spatial resolution from 1990 to 2021 to study rapid urban expansion in arid regions (https://zenodo.org/record/ 5816591) [38]. Compared to other products such as GLC_FCS30, Global30, and ESRI10, CLCD has a longer and more continuous time series [16,39]. The VG data were extracted from Landsat NDVI products in Google Earth Engine (https://earthengine.google.…”

Section: Datamentioning

confidence: 99%

Positive impact of urbanization on vegetation growth has been continuously strengthening in arid regions of China

Li,

Cui,

Liu

et al. 2023

Environ. Res. Lett.

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The ecological environment is fragile in arid regions, and the direct and indirect impacts of continuing urbanization on vegetation growth in cities still need to be studied in depth. In this study, we focused on four provincial capital cities (Urumqi, Lanzhou, Yinchuan, and Hohhot) in arid regions of China. We used continuous 30 m land cover and vegetation greenness (VG) data from 1990 to 2021 to extract the impact of urbanization on vegetation growth by separating the impact of natural conditions. Our results showed that the study area’s urban area (UA) had expanded rapidly at a rate of 39.2 km2/a, increasing by 3.39 times between 1990 and 2021. While urban expansion occurred rapidly, the overall VG of the study area also increased (slope = 2.16 × 10−3), with the enhancement of VG increasing gradually from west to east. The VG and its trend in the UA were significantly higher than those in the natural vegetation area (NA). In addition, the duration of the urban vegetation growth season was longer than that of the NA, which also confirmed the positive impact of urbanization on the vegetation growth period. Furthermore, we found that the positive impact of urbanization on vegetation had continuously strengthened over time. In 1990 and 2021, the VG areas had 83% and 87% above the ‘zero-impact line’ in the UA, respectively, indicating a very significant impact of urbanization on vegetation growth in arid regions with fragile natural conditions. Our study identified the long-term dynamic trends in urbanization and VG in arid regions and clarified the non-linear relationship between the two concurrent growth factors. This has significant implications for correctly understanding the impact of urbanization on vegetation in arid regions and can provide a scientific reference for the ecological construction of urban environments in the region.

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Land use and cover changes on the Loess Plateau: A comparison of six global or national land use and cover datasets

Cited by 29 publications

References 40 publications

Landscape Ecological Risk Assessment Based on Land Use Change in the Yellow River Basin of Shaanxi, China

Landscape Ecological Risk Assessment Based on Land Use Change in the Yellow River Basin of Shaanxi, China

Evaluation and Comparison of Open and High-Resolution LULC Datasets for Urban Blue Space Mapping

Positive impact of urbanization on vegetation growth has been continuously strengthening in arid regions of China

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