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Changing land-use patterns in the Qinghai–Tibet Plateau (QTP) due to natural factors and human interference have led to higher ecological vulnerability and even more underlying issues related to time and space in this alpine area. Ecological vulnerability assessment provides not only a solution to surface-feature-related problems but also insight into sustainable eco-environmental planning and resource management as a response to potential climate changes if driving factors are known. In this study, the ecological vulnerability index (EVI) of Shannan City in the core area of the QTP was assessed using a selected set of ecological, social, and economic indicators and spatial principal component analysis (SPCA) to calculate their weights. The data included Landsat images and socio-economic data from 1990 to 2015, at five-year intervals. The results showed that the total EVI remains at a medium vulnerability level, with minor fluctuations over 25 years (peaks in 2000, when there was a sudden increase in slight vulnerability, which switched to extreme vulnerability), and gradually increases from east to west. In addition, spatial analysis showed a distinct positive correlation between the EVI and land-use degree, livestock husbandry output, desertification area, and grassland area. The artificial afforestation program (AAP) has a positive effect by preventing the environment from becoming more vulnerable. The results provide practical information and suggestions for planners to take measures to improve the land-use degree in urban and pastoral areas in the QTP based on spatial-temporal heterogeneity patterns of the EVI of Shannan City.

The karst region of Southwest China is one of the largest continuous karst areas in the world, and the ecosystem in the karst region is extremely fragile. The city of Liupanshui, a typical karst area in southwestern China, has provided the main energy and raw materials during China&rsquo, s rapid urbanization in the past few decades. With the continuous deterioration of the environment in Liupanshui and from the viewpoint of sustainable development strategies, research on ecosystem health (ESH) and the assessments of correlations between urbanization and ESH plays an important role in regional sustainable eco-environmental development. Therefore, the impact of urbanization on the ecosystem health of the study area was discussed in this study using a series of remote sensing images and socio-economic data from 1990 to 2015. Studies showed that Liupanshui is undergoing rapid urbanization, and the growth of urbanized land reached a peak between 2010 and 2015. From 1990 to 2015, the level of ESH in Liupanshui trended downward and then increased. During 2000 to 2010, due to the policy of returning farmland to grassland and forestland, the substantial increase in woodland and grassland and the management policy of mining areas have caused a turn in ESH. Although the value of ecosystem health in 2010&ndash, 2015 increased, the process of urbanization is rapid, so we should pay more attention to the trend in future ecosystem health changes. The findings revealed that urbanization significantly negatively affects the ecosystem health of Liupanshui, and mining has the greatest impact. Therefore, in future urban development, strengthening the management of resource extraction and the supervision of environmental protection, continuing to return farmland to grassland and forestry, and controlling rocky desertification can improve the health of the urban ecosystem in the study area.

Rapid urbanization has caused a reduction in green lands, negatively affecting the functions of ecosystem services (ESs). The 11th goal and other goals of the United Nations Sustainable Development Goals (SDGs) have highlighted the importance of the balanced development of cities and the environment. ESs are essential for human well-being, so their application in sustainable development study is indispensable. The ecological security pattern (ESP) provides an integrated strategy for maintaining a balance between a sustainable supply of ESs and urbanization. However, establishing an ESP with the goal of satisfying human requirements for ESs in a rapidly urbanizing area has not been well studied. Thus, it is necessary to build an ESP based on ecosystem service value (ESV) reconstruction to manage urban ecosystems sustainably. Based on land use data and field data, this study approached the research gap by related analyses. The first analysis involved dynamic reconstruction of ESVs using the static ESV and importance indices of ESs from 1999&ndash, 2013. The second analysis involved using hot spot analysis (Getis-Ord Gi * statistics) to distinguish heterogeneous units of the dynamic ESV to identify ecological sources. The third analysis involved establishing the ESP in Zhuhai city, using the minimum cumulative resistance (MCR) model. The results indicated that the ESV of Zhuhai city displayed an upward trend. The functions of water conservation and waste treatment contributed most to the total ESV, while grain production and raw material contributed least in the study area. In the restructuring of ESVs in 2005, 2009, and 2013, the per unit area of the ESV decreased slightly. The areas with high ESVs continued to shrink, while the areas with low ESVs gradually expanded. The ESP of Zhuhai city exhibits great connectivity and strong plasticity, which specifically provides a reliable and visual way to build sustainable cities from a quantitative perspective, generally consistent with the urban ecological planning of Zhuhai city. This study provides an important reference for the application of ESs to achieve SDGs in coastal, rapidly urbanizing regions.

The Green-for-Grain program (GGP) is the largest environmental restoration program in China. It is effective in controlling land desertification but at the same time is highly affected by regional differences. Ecosystem health, as an important indicator of ecosystem sustainability, can effectively assess the ecological impact of the GGP and provide a basis for follow-up actions. As a typical agro-pastoral ecotone along the Great Wall, the Xilin Gol League has seen increasing land-use intensity, thus, it is crucial to understand the ecological conditions of the region in order to deploy a policy of the GGP in accordance with local conditions. In this study, using remote sensing images and social statistics data from 1990–2015, land-use transformation and the turning point of vegetation coverage was determined. Based on the pressure-state-response (PSR) model, an ecological health evaluation system was constructed to quantify the temporal and spatial variation of ecosystem health. Then, the spatial correlation between the changes in forest and grass coverage, as well as the changes in the ecosystem health index (EHI), was evaluated using GeoDa software. The results showed that (1) grassland was the primary land-use/land-cover (LULC) in the Xilin Gol League. Since 2000, land-use transfer types changed significantly and grassland degradation weakened; landscape connectivity increased, and vegetation coverage increased. (2) Over the past 25 years, the ecosystem in the study area was at a subhealthy level and showed a trend toward a healthy level. (3) The spatial correlation between △Area% (change in forest and grass coverage) and △EHI (change in ecosystem health index) was positive between 2000 and 2015 and the correlation gradually increased, indicating that the GGP did enhance the health of the ecosystem of Xilin Gol. This study provided a specific reference for the evaluation of ecosystem health in the agro-pastoral ecotone of China and a theoretical basis for the implementation of sustainable management policies in the study area.

The Three Rivers Headwaters Region is one of the most import ecological protection regions and Tibetan inhabited regions in China. Located in the Qinghai province of China, the Region is the source of the Yangtze, the Yellow and the Lantsang-Mekong Rivers. This study region was based on remote sensing imagery. An ecological landscape classification of the area is presented, as well as a suite of landscape indices for landscape pattern changes from 1987 to 2015. The influence of human activities on the landscape change of study area is discussed. The results showed landscape structure complexity, fragmentation gradually increased, while the indices of contagion and evenness were decreased. Structure characteristic of landscape change in this region are more obvious, especially, the difference in space distributions of part and the whole. There were trend of uniform distribution of different types and diversity gradually increased in the source of Yangtze River. And an opposite tendency is showing in the Yellow River and Lantsang-Mekong River. Physical-geographical conditions, climate change and government policy at study period were the main reasons of significant landscape pattern change. This study proposes management measures for sustainable development in the Three Rivers Headwaters Region.

The exploitation, utilization, and protection of land resources are some of the great social problems during the process of rapid urbanization in China. The status of land use directly affects ecosystem health (ESH). The evaluation of ESH and the spatial correlations between urbanization caused by human interference help us to analyze the influence of urbanization on ecosystems and also provide new insight into reasonable and scientific resource management. In this study, we evaluated the ESH of Gannan, in Jiangxi Province, China, based on ecosystem service values (ESV) and selected a series of indicators to detect the impact of urbanization on ecosystem health in 1990, 1995, 2000, 2005, 2010. and 2015. Remote sensing (RS) and the Geographic Information System (GIS) were used as processing tools to calculate basic data and to map the results based on different terrain gradients. The results show that ecosystem health suffered a downward trend from 1990 to 2015. Especially, the area proportion at an unhealthy level and average health (ave-health) level increased prominently, and the area of a well state decreased. Further, the results indicate that urbanization had a negative impact on ESH. The degree of a negative correlation increases with the process of urban sprawl. In addition, we found that from 1990 to 2015, the area proportion of a degraded level and unhealthy level was the highest on the first terrain gradient, and as the terrain gradient increased, this area proportion also decreased. However, the high interference region occupies a higher proportion in the lower terrain gradient. Consequently, the results could reveal the impact of urbanization on ecosystem health and could provide an even more effective service for a sustainable development.

Goal 15 of the UN Sustainable Development Goals (SDGs) has highlighted the importance of maintaining a sustainable relation between ecosystem services and human activities. Ecosystem services are heterogeneous across landscapes. However, how human activities, which cause disturbances to ecosystem services, relate to such heterogeneity has not been well studied and thus necessarily constraining our ability to manage ecosystems sustainably. Based on land use/land cover data, this study addressed the research gap by running two inter-related analyses on the datasets of the study area, i.e., Chuandong, China. The first analysis involves identifying distinctive heterogeneous units of ecosystem service values using Getis-Ord Gi⁎. The second analysis involves measuring the impacts of human disturbances on ecosystem service values and their variations over every five years between 1990 and 2015, using linear regression and spatial regression models. The result of the first analysis identified heterogeneous ecosystem service units of hot-spots, cold-spots, and random areas. The hot-spots mainly clustered in relative inaccessibility land at higher terrain gradients in the east of the study area. The cold-spots overlapped extensively with built-up areas and farmland at lower terrain gradients in the west of the study area. Random areas distributed mainly in the middle part of the study area. This heterogeneity also existed temporally. Ecosystem service values in the study area decreased from 1990 to 2000 but reversed the trend after 2000. The result of the second analysis revealed that the impacts of hot-spots, cold-spots, and random areas on the relationship between ecosystem service values and human disturbances vary. Specifically, there was a negatively linear relationship between ecosystem service values and the integrated indicator of human disturbances, which was the strongest in random areas, followed by cold-spots and hot-spots. In addition, spatial spillover effect is explicit in the relationship between ecosystem service values and three specific factors of human disturbances, i.e., terrain index, population, and gross domestic product. They varied significantly between units: the terrain index had a positive externality on ecosystem service values with cold-spots and random areas but negative externality with hot-spots; population imposed a more negative externality on ecosystem service values when in proximity to random areas than cold-spots and hot-spots; the externality between gross domestic product and ecosystem service values exhibited irregular inverse 'U' shape, which was below the 'X-axis' in cold-spots but throughout the 'X-axis' in hot-spots and random areas. The findings of this study have potential policy implications in improving ecosystem sustainability through harmonizing the environment and human activities.

The Eastern Sichuan Region (ESR) is one of the key pilot regions for Grain for Green Program (GGP) implementation in the upper reaches of the Yangtze River basin in China. Therefore, monitoring the effect of the GGP on the ecosystem in the ESR is important. In this study, the Mann&ndash, Kendall Trend Test Model was used to ascertain the changes in vegetation coverage. The transfer matrix was used to explore the changes in Land Use/Land Cover (LULC). LULC change direction model (LCDM) was used to preliminarily assess the impact of LULC changes on the ecosystem. The Pressure&ndash, State&ndash, Response model (PSR), reflecting the human pressure and the ecosystem state, was applied to analyze the spatial&ndash, temporal characteristics of the ecosystem health index (EHI). The time span of this study was from 1990 to 2015. The results show that the vegetation coverage changed significantly (p &lt, 0.05), and ecosystem function developed towards positive because of the increase in the coverage of forestland and water land and decrease in the coverage of farmland. The spatial distribution of the EHI was influenced by the pattern of land use. The eastern region, associated with a large area of forestland and grassland, has a low population density and a low degree of land use exploitation, resulting in a high EHI value. The situation was completely opposite in the western region. Regarding the temporal scale, in spite of the decreasing pressure indicator, most counties had experienced an increase in the EHI. There was a clear correlation between the increased EHI values and the restored areas at the third stage (2000&ndash, 2005) (p &lt, 0.05, r2 = 0.164), but this correlation disappeared at the latter stage (2005&ndash, 2015) (p &gt, 0.05). The changes showed significant variations in time and area because of differences in the process and the intensity of the implication of the GGP.

Evaluating the impact of an ecological restoration program on ecosystem services is crucial, given the role of such a program in boosting sustainable ecosystem management. This study examines the impact of one of the large-scale ecological restoration programs in China, the Grain for Green Program (GGP), on ecosystem service management in the Exibei region of China. This region is studied, as it is a key source water area with rich biodiversity and has been experiencing GGP for 20 years. To achieve the stated goal the changes of land use and ecosystem services value (ESV) and the ecosystem services scarcity value (ESSV) in the Exibei region were quantified and assessed based on remote sensing images from 1990, 1995, 2000, 2005, 2010, 2015 and field survey data. The results indicated that the expansion of construction land and the increase of water body were the dominant land use changes throughout the study period. Farmland, forestland and grassland decreased by 2.61%, 0.47% and 1.41% after the GGP, respectively. The ESV of the entire Exibei region increased slightly in response to land use change during 1990&ndash, 2015, with an annual loss of 0.08% before the implementation of GGP and an annual growth of 0.03% after the implementation of GGP. Moreover, forestland was the dominant contributor to ESSV after the implementation of the GGP. Its annual growth rate was four times higher than before the commencement of GGP. The results of this study contribute to the protection of the Exibei region ecosystem, and more importantly, the future management of the ecosystem service in the hilly regions of southern China.

Multiresolution segmentation (MRS) algorithm has been widely used to handle very-high-resolution (VHR) remote sensing images in the past decades. Unfortunately, segmentation quality is limited by the dependency of parameter selection on users’ experience and diverse images. Contrarily, the segmentation by weighted aggregation (SWA) can partly overcome the above limitations and produce an optimal segmentation for maximizing the homogeneity within segments and the heterogeneity across segments. However, SWA is solely tested and justified with digital photos in computer vision field instead of VHR images. This study aims at evaluating SWA performance on VHR imagery. First, multiscale spectral, shape, and texture features are defined to measure homogeneity of image objects for segmentation. Second, SWA is implemented to handle QuickBird, unmanned aerial vehicle (UAV), and GF-1 VHR images and further compared with MRS in eCognition software to demonstrate the applicability of SWA to diverse images in building,...

Although prior studies have suggested that both landscape composition and configuration significantly affect land surface temperature (LST), the hierarchical effects of these landscape metrics on LST have been neglected because of the use of single-level models. With the analysis of remote sensing images of Zhuhai city in Southern China, this study incorporates multilevel models to estimate the hierarchical effects of landscape composition and configuration on LST. Comparisons of the single-level ordinary least squares (OLS) regression model and the multilevel models show four findings. First, LST is influenced by both level-one effects of composition (pixels) and level-two effects of configuration (groups of pixels). Second, multilevel models outperform OLS model in accounting for the LST-landscape relationships as the former produces the better fitting results and the smaller residuals and autocorrelations than the latter. Third, configuration metrics account for greater variability in LST than composition metrics. Fourth, the effects of configuration metrics vary across the level-two groups. The findings of this study provide new insights into the landscape influences on LST, and suggest that for mitigating urban heat island effects, optimizing the configurations of land cover types in urban areas should be considered because of the larger cooling effect of landscape configurations than compositions on LST.

Ecological vulnerability, as an important evaluation method reflecting regional ecological status and the degree of stability, is the key content in global change and sustainable development. Most studies mainly focus on changes of ecological vulnerability concerning the temporal trend, but rarely take arid and semi-arid areas into consideration to explore the spatial heterogeneity of the ecological vulnerability index (EVI) there. In this study, we selected the Ningxia Hui Autonomous Region on the Loess Plateau of China, a typical arid and semi-arid area, as a case to investigate the spatial heterogeneity of the EVI every five years, from 1990 to 2015. Based on remote sensing data, meteorological data, and economic statistical data, this study first evaluated the temporal‒spatial change of ecological vulnerability in the study area by Geo-information Tupu. Further, we explored the spatial heterogeneity of the ecological vulnerability using Getis-Ord Gi*. Results show that: (1) the regions with high ecological vulnerability are mainly concentrated in the north of the study area, which has high levels of economic growth, while the regions with low ecological vulnerability are mainly distributed in the relatively poor regions in the south of the study area. (2) From 1990 to 2015, ecological vulnerability showed an increasing trend in the study area. Additionally, there is significant transformation between different grades of the EVI, where the area of transformation between a slight vulnerability level and a light vulnerability level accounts for 41.56% of the transformation area. (3) Hot-spot areas of the EVI are mainly concentrated in the north of the study area, and cold-spot areas are mainly concentrated in the center and south of the study area. Spatial heterogeneity of ecological vulnerability is significant in the central and southern areas but insignificant in the north of the study area. (4) The grassland area is the main driving factor of the change in ecological vulnerability, which is also affected by both arid and semi-arid climates and ecological projects. This study can provide theoretical references for sustainable development to present feasible suggestions on protection measures and management modes in arid and semi-arid areas.

The Grain for Green Program (GGP) is an important ecological project in China that was implemented to tackle serious soil erosion and forest loss for sustainable development. Investigating landscape change is an efficient way to monitor and assess the implementation of GGP. In this paper, 180 ethnic villages, including 36 Miao and Dong (MD) villages with combined populations of Miao people and Dong people, 65 Dong villages, and 79 Miao villages in Qiandongnan Prefecture were selected to investigate the influence of GGP on ethnic villages by evaluating the landscape changes before and after the implementation of the GGP within 1-km and 2-km distance buffers around ethnic villages. The results show that the GGP has more significant positive impacts on reforestation around Miao villages than Dong villages and MD villages because Miao villages are mostly located in higher and steeper areas, which are the focus of the GGP. Based on the analysis, a continuation of the GGP in Qiandongnan Prefecture is recommended, as it can incentivize the recovery of forest cover in steeper slopes. More attention should now be paid to the Dong villages and MD villages, which were not previously a focus of the GGP.

Urban forests can provide the necessary ecosystem services for their residents and play an important part in improving the urban environment. Forest landscape connectivity is a vital indicator reflecting the quality of the ecological environment and ecological functions. Detecting changes in landscape connectivity is, therefore, an important step for providing sound scientific evidence for the better urban planning. Using remote sensing images of a study area in Zhuhai City in 1999, 2005, 2009 and 2013, the dynamic forest landscape connectivity of Zhuhai city can be evaluated based on a graph-theoretic approach. The aims of our study were to discover and interpret the effect of rapid urbanization on forest landscape connectivity. The construction of ecological corridors helps us specifically compare the landscape connectivity of three parts of urban forests. On the basis of functional landscape metrics, the correlation of these metrics and patch area was discussed in order to comprehensively identify the key patches. The analysis showed that the total areas of forestlands reduced from 1999 to 2009 and then increased from 2009 to 2013, and the same trend was found in overall forest landscape connectivity. To improve the overall landscape connectivity, construct urban ecological network and appropriately protect biodiversity in the future, the existing important patches with large areas or key positions should be well protected. This study revealed that urbanization reduced the area of key patches and consequently reduced the forest landscape connectivity, which increased while the patch areas increased due to the environmental protection policy. Functional connectivity indicators could provide more comprehensive information in the development of environmental protection strategies.

Qiandongnan Prefecture (QDN) is located in southeast of Guizhou province, China. There are 2900 rivers in this region and it plays a vital role in the soil and water conservation of the Yangtze River upstream watershed. It is also one of the regions of richest biodiversity in China. This paper studied the effects of the Grain to Green in Qiandongnan Prefecture based on remote sensing monitoring. The data sources are four historical land use maps which were extracted from Landsat TM /+ETM and Landsat8 remote sensing images, covered the study area spanned the temporal frames of 1993, 1999, 2009 and 2013. The results show that the whole forest was decreasing and the farmland was increasing after the implementation of the Grain to Green Project, but the forest in the north and northwest, where the key area was for the Grain to Green Project, was increasing and the farmland there is decreasing. This means that forests were turning back to farmland while the implementation of reforestation.

The Three-Rivers Headwater Region (TRHR) is the headstream area of three main rivers, Yangtze River, Yellow River, and Lancang River. It is an important ecological barrier of the local and regional environmental security and sustainable development, not only for China but also for the southeastern Asian. A total of 33 images of Landsat8 remote sensing in the study area were processed by chain classification method based on classifiers such as Support Vector Machines (SVMs). The results show that the chain classification is a new classification method. In this study, the average accuracy loss of two images in the transverse track classification is only 3.28%, as for three images, the data is 3.44%, referring to four and five images, the data is 3.09% and 6.07% respectively. The homogeneity of the image in the vertical chain is higher than that of the horizontal chain, which can provide more accurate data of training area for the sample selection. It can be seen that the lower the image heterogeneity, especially the adjacent image, the higher the classification accuracy, the more suitable for the use of chain classification. The results verify the feasibility and rationality of the multi — image, multi — land and large — scale regional application of chain classification in study area.

Huangnan Tibetan Autonomous Prefecture is located in the three-river source region (the TRSR) in the Qinghai-Tibetan Plateau, China, which is characterized with ecological sensitivity and vulnerability. In the paper, we integrated remote sensing images, field investigation and social-economic data , and with the help of analytic hierarchy process (AHP) and comprehensive index methods, a sensitivity assessment system was built to calculate ecological sensitivity scores and assign levels for the study area. Results show that: areas which are moderately or even highly ecologically sensitive account for 54.02%, distributed in south, north and northeast of study area and those that have most apparent ecological sensitivity are mainly located in Zeekog, northwest of Huangnan while other counties enjoy relatively lower sensitivity. The results will facilitate future region management and planning for decision-makers.

Urban scenes refer to those spatial units that consist of diverse geographic objects but have special patterns, and thus can be abstracted as one scene category higher than object classes, such as residential areas, commercial areas, and industrial areas. Therefore, scene analysis consists of two steps: scene segmentation and scene classification. Since existing object- and pixel-based image analysis methods cannot work well for scene analysis, this paper aims at resolving the two issues. For scene segmentation, a multilevel aggregation mechanism is presented; while for scene classification, both the intra-scene feature similarity and inter-scene semantic dependency are considered. VHR images are used to test the presented methods and satisfactory results with large accuracies are obtained.

Accelerated urbanization has changed land use patterns, leading to the deterioration of ecosystems. Assessments of ecosystem health (ESH) during the urbanization process are used to determine the reasons and mechanism for this, and to uncover negative factors. In this study, we assessed the ESH of Qiannan prefecture, in Guizhou Province, China, based on the ecosystem services value. We selected a series of indicators, including natural, social, and economic aspects, to detect the impact of urbanization on ecosystem services in 1990, 1995, 2000, 2005, 2010, and 2015. The results show that ESH in Qiannan declined from 1990 to 2015, especially in the eastern and northern regions. Further, the results indicate that urbanization had a negative impact on ESH, of which the dominant factor was the proportion of construction land from 1990 to 2005. After 2005, moreover, the dominant factor was the gross domestic product. The impact of urbanization on EHS had spatial differences, however. The most significant negative impact was found in the east and north. After 2010, the western and central regions of Qiannan showed an urbanization trend in favor of ecosystem health. We recommend ecological restoration in regions with weak and relatively weak ESH levels to achieve sustainable development.

Ecosystem conservation is one of the core elements of sustainable development. Studying the relationship between human disturbance and the ecosystem service value (ESV) change is an urgent need for the future. The Yangtze River Economic Belt is one of the key economic strategies implemented by the Chinese government and is also a demonstration zone for ecological conservation. Western Hunan is an important ecological barrier in the Yangtze basin where different ethnic groups live together and various cultures coexist. In this study, using land-use data and spatial analysis modeling, the changes in the ecosystem service value at five topographic gradients were evaluated. Human disturbance and its spatial correlation with the ecosystem service value from 1990 to 2015 were also investigated. The results demonstrated the following: (1) the proportional area of forestland and grassland increased as the topographic gradient index increased and other types of land-use gradually decreased, (2) The ecosystem service value at middle gradients increased over the study period, but ESV of the lowest topographic gradient showed a significant decline and a substantial decrease, as well as a terrain index under 0.7970, (3) The spatial analysis of human disturbance showed that more than 90% of intense human disturbance was distributed in the area of the lowest topographic gradient where topographic features were low-altitude and low-slope, and little human disturbance was scattered at other gradients, (4) There was a significant spatial aggregation distribution between the ecosystem service value and human disturbance in western Hunan, the high disturbance and low ESV aggregation was mainly distributed in Loudi City, the area east of Shaoyang City and Zhangjiajie City all belonged to the lowest topographic gradient, and the low&ndash, high and high&ndash, high aggregations were mainly distributed in Huaihua City and Xiangxi Tujia and Miao Autonomous Prefecture. Population density and gross domestic product were the main driving factors, while topography was the main ecological factor. This study could provide additional spatial information and theoretical guidance for ecosystem service management for sustainable development in western Hunan, China.

The past decades have witnessed rapid urbanization around the world. This is particularly evident in Zhuhai City, given its status as one of the earliest special economic zones in China. After experiencing rapid urbanization for decades, the level of ecosystem health (ESH) in Zhuhai City has become a focus of attention. Assessments of urban ESH and spatial correlations between urbanization and ESH not only reveal the states of urban ecosystems and the extent to which urbanization affected these ecosystems, but also provide new insights into sustainable eco-environmental planning and resource management. In this study, we assessed the ESH of Zhuhai City using a selected set of natural, social and economic indicators. The data used include Landsat Thematic Mapper images and socio-economic data of 1999, 2005, 2009 and 2013. The results showed that the overall ESH value and ecosystem service function have been on the decline while Zhuhai City has continued to become more urbanized. The total ESH health level trended downward and the area ratio of weak and relatively weak health level increased significantly, while the areas of well and relatively well healthy state decreased since 1999. The spatial correlation analysis shows a distinct negative correlation between urbanization and ESH. The degree of negative correlation shows an upward trend with the processes of urban sprawl. The analysis results reveal the impact of urbanization on urban ESH and provide useful information for planners and environment managers to take measures to improve the health conditions of urban ecosystems.