A Time-Series Approach to Detect Urbanized Areas Using Biophysical Indicators and Landsat Satellite Imagery

Zhang, Yang

doi:10.1109/jstars.2021.3109638

Cited by 11 publications

(4 citation statements)

References 48 publications

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“…(5) Monthly mean precipitation, sunshine duration, and temperature data from 26 meteorological stations in Guangdong Province from 2000 to 2020 were obtained from the National Meteorological Science Data Center. The annual mean of the original data was taken to obtain the annual mean meteorological data for each station, and was then imported into ArcGIS 10.6 for Kriging interpolation to obtain the grid data for annual mean precipitation, sunshine duration, and temperature of Guangdong Province, with a resolution of 500 m. The Theil-Sen trend analysis method and Mann-Kendall test method are widely used in NPP time series analysis and can explain the long-term trend of change in vegetation NPP [41][42][43].…”

Section: Available Datamentioning

confidence: 99%

Decoupling Relationship between Urbanization and Carbon Sequestration in the Pearl River Delta from 2000 to 2020

Luo

2022

Remote Sensing

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Rapid urbanization has a significant impact on the ecological environment. Net primary productivity (NPP) can effectively reflect the growth of urban vegetation and the carbon sequestration capacity of an ecosystem. Taking the rapidly growing Pearl River Delta (PRD) as our study area, the relative contributions of human activities and climate change to NPP were analyzed using an improved two-step method based on residual trend analysis. The decoupling index was used to compare the coordinated development of socioeconomic factors and the NPP in different time periods. This study lays the foundation for formulating comprehensive and reasonable urban low-carbon development measures. The results showed that (1) NPP decreased significantly before 2010, but by 2019, NPP in most regions of the PRD showed a slight increase. The NPP of new urban land was better than that of original urban land. (2) The negative contribution of climatic factors to NPP was clearer than that of human activities, and human activities contributed positively to NPP outside urban land. (3) The decoupling status of socioeconomic factors and NPP is improving, and the degree of decoupling in 2010–2019 was higher than that in 2000–2010. In conclusion, as the first forest urban agglomeration in China, the PRD has shown a good implementation of carbon sequestration policies, which can provide a reference for the coordinated development of urbanization and carbon sequestration.

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Section: Available Datamentioning

confidence: 99%

Decoupling Relationship between Urbanization and Carbon Sequestration in the Pearl River Delta from 2000 to 2020

Luo

2022

Remote Sensing

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“…In Yunnan and Guizhou Provinces, located in the Southwest China karst region, ecological protection projects, ecological migration, and initiatives such as converting farmland back to forest or grassland have created favorable conditions for the accumulation of ANPP [93]. Numerous studies have revealed an increase in vegetation cover and a growing trend of ANPP in the Southwest China karst region [89,[93][94][95]. As a result, human interventions have resulted in a rise in ANPP in these areas, exerting a more significant effect than that of climate change.…”

Section: The Relative Effects Of Climate Change and Human Activities ...mentioning

confidence: 99%

Assessing the Distribution and Driving Effects of Net Primary Productivity along an Elevation Gradient in Subtropical Regions of China

Xu,

Feng,

Chen

et al. 2024

Forests

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Globally, forest ecosystems, especially subtropical forests, play a central role in biogeochemical cycles and climate regulation, demonstrating their irreplaceable function. The subtropical region of China, characterized by its unique forest ecosystem, complex terrain, climate heterogeneity, diverse vegetation types, and frequent human activities, underscores the importance of the in-depth study of its net primary productivity (NPP). This paper employs the eddy covariance–light use efficiency (EC-LUE) model to quantitatively estimate the gross primary productivity (GPP) of this region from 2001 to 2018, followed by an estimation of the actual net primary productivity (ANPP) using the carbon use efficiency (CUE). The results showed that over these 18 years, the annual average ANPP was 677.17 gC m−2 a−1, exhibiting an overall increasing trend, particularly in mountainous areas, reserves, and the cultivated lands of the northeastern plains, whereas a significant decrease was observed around the urban agglomerations on the southeast coast. Furthermore, the Thornthwaite memorial model was applied to calculate the potential net primary productivity (PNPP), and diverse scenarios were set to quantitatively evaluate the impact of climate change and human activities on the vegetation productivity in the study area. It was found that in areas where the ANPP increased, both human activities and climate change jointly influenced ANPP dynamics; in areas with a decreased ANPP, the impact of human activities was particularly significant. Additionally, the heterogeneous distribution of ANPP across different altitudinal gradients and the driving effects of various climatic factors were analyzed. Finally, a partial correlation analysis was used to examine the relationships between the temperature, precipitation, and ANPP. This study indicated that temperature and precipitation have a substantial impact on the growth and distribution of vegetation in the region, yet the extent of this influence shows considerable variation among different areas. This provides a robust scientific basis for further research and understanding of the carbon dynamics of subtropical forest ecosystems and their role in the global carbon cycle.

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“…Several researchers participated in studying the various classification methods like supervised, unsupervised, band thresholding, algorithms, indices ( Inman and Lyons, 2020 ; Y. Zhang, 2021 ). Among these, recent studies suggest the thresholding technique generate accurate results.…”

Section: Introductionmentioning

confidence: 99%

Google earth engine based computational system for the earth and environment monitoring applications during the COVID-19 pandemic using thresholding technique on SAR datasets

Ghosh

Kumar

Kumari

2022

Physics and Chemistry of the Earth, Parts A/B/C

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A Time-Series Approach to Detect Urbanized Areas Using Biophysical Indicators and Landsat Satellite Imagery

Cited by 11 publications

References 48 publications

Decoupling Relationship between Urbanization and Carbon Sequestration in the Pearl River Delta from 2000 to 2020

Decoupling Relationship between Urbanization and Carbon Sequestration in the Pearl River Delta from 2000 to 2020

Assessing the Distribution and Driving Effects of Net Primary Productivity along an Elevation Gradient in Subtropical Regions of China

Google earth engine based computational system for the earth and environment monitoring applications during the COVID-19 pandemic using thresholding technique on SAR datasets

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