Change types of MODIS NDVI in urban areas for 2001 to 2020. (A) Yearly mean NDVI in urban core and urban expansion areas during 2001 to 2020. (B) Vegetation change types for each urban areas (n = 965), including urban core and urbanization. (C) Number and timing of breakpoints of the class recovery (n = 609). (D) Percent of urban vegetation cover change types for different geographical zones. (E) Percent of vegetation change types for groups of different urban area sizes.
Newswise — In the face of rapid urbanization, China has embarked on an impressive journey of urban greening, transforming the environmental narrative from degradation to sustainability. The collaboration between the University of Copenhagen and the Chinese Academy of Sciences has yielded groundbreaking insights through satellite analysis of the evolution of greenness in over 974 cities from 2000 to 2020. This strategic pivot towards revitalizing urban ecosystems is meticulously documented in a new review (doi: 10.34133/remotesensing.0112) published in the Journal of Remote Sensing on February 8, 2024, marking a significant stride in sustainable urban development.
This study delves into the evolving landscape of Chinese cities, showcasing an optimistic trend where the greening of urban cores effectively counters the loss of vegetation due to sprawling urban expansion. By harnessing advanced satellite imagery analysis, researchers meticulously tracked changes in urban vegetation across China from 2000 to 2020. They developed a novel classification system to distinguish between areas of greening, browning, stability, reversal, and recovery. The findings reveal a pivotal shift post-2011, with over 60% of the cities demonstrating substantial recovery of greenness. This outcome reflects the positive impact of China’s rigorous urban greening policies, which will contribute to enhancing biodiversity, improving air quality, and elevating the quality of life for city dwellers. This research not only highlights the resilience of urban ecosystems but also illustrates the tangible benefits of integrating green spaces into urban planning.
Dr. Xiaoxin Zhang, the lead author, states, "Our findings provide a hopeful perspective on how urban planning and greening initiatives can effectively balance urban expansion with environmental sustainability. It's a testament to China's commitment to building greener, more livable cities."
By conducting a thorough analysis, the study illuminates the complex interactions within our planet's carbon cycle in response to environmental challenges. This provides essential knowledge for advancing climate science and devising effective management approaches.
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References
DOI
Original Source URL
https://spj.science.org/doi/10.34133/remotesensing.0112
Funding information
This work was supported by the China Scholarship Council (CSC, grant no. 201904910835 to X.Z.); Independent Research Fund Denmark–DFF Sapere Aude (grant 9064-00049B to M.B.); and the Villum Foundation through the project “Deep Learning and Remote Sensing for Unlocking Global Ecosystem Resource Dynamics” (DeReEco to R.F.).
About Journal of Remote Sensing
The Journal of Remote Sensing, an online-only Open Access journal published in association with AIR-CAS, promotes the theory, science, and technology of remote sensing, as well as interdisciplinary research within earth and information science.
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