Altering urban greenspace patterns and heat stress risk in Hanoi city during Master Plan 2030 implementation. (June 2021)

• Record Type: Journal Article
• Authors: Liou, Yuei-An; Nguyen, Kim-Anh; Ho, Le-Thu
• Is Part Of: Land use policy. Volume 105(2021)
• Publication Date: 2021-06
• Subjects: UGS Urban greenspace -- LST Land surface temperature -- MSI Multispectral instrument -- UHI Urban heat island -- LULC Land cover/land use -- TOA Top-of-atmosphere -- BOA Bottom-of-atmosphere -- SNAP Sentinel application platform -- ESA European Space Agency -- NDVI Normalized Difference Vegetation Index -- TIRS Thermal infrared sensor -- USGS United States Geological Survey; Urban environment -- Heat stress risk -- Urban greenspace -- Hanoi Master Plan -- Urban forestry; Land use -- Periodicals; Land use -- Government policy -- Periodicals; Sol, Utilisation du -- Périodiques; Sol, Utilisation du -- Politique gouvernementale -- Périodiques; Electronic journals; 333.7305
• DOI: 10.1016/j.landusepol.2021.105405
• Languages: English
• ISSNs: 0264-8377

Abstract

Abstract: Hanoi City has been greatly reshaped owing to its "Master Plan by 2030 and a vision to 2050 by Decision 1259/QD-TTg of Vietnam" (called Hanoi Master Plan thereafter). This Hanoi Master Plan results in multi-challenges for the Hanoi City in terms of conserving urban greenspace (UGS). This study pursues to (1) investigate the changing environmental spatial patterns of UGS, (2) identity the areas at high risk due to heat stress based on abnormal land surface temperature (LST) distribution and demographic vulnerability, and (3) suggest mitigation strategies to the authorities by using the proposed UGS management platform. Sentinel-2 multispectral instrument (MSI) data was used to examine the evolution of UGS in relation to LST derived from Landsat 8 OLI thermal band that was subsequently utilized to create heat stress risk patterns. The study region is the inner Hanoi City. The UGS was investigated during the timeframe from Oct. 2016 to Oct. 2018. Accuracy assessment was performed by using Google Earth and field survey data. Results showed that UGS in inner Hanoi City is much declined by 1.3% for woodland and by 4.4% for shrub land, while grass-cover is increased by 2.4% in recent 2 years. Overall accuracies are of 96% and 88% with Kappa coefficients of 0.92 and 0.78 for land cover classification in 2018 and 2016, respectively. Urban heat stress index patterns showed a higher risk in the central inner-city areas of dense residential regions characterized by dense built-up. The identification of environmental heat stress risk patterns provides useful information for calling more attention of urban planners, authorities and health organizations. Graphical Abstract: ga1 Highlights: Urban greenspace (UGS) spatial patterns are altered due to the Hanoi Master Plan. High heat stress areas are identified via land surface temperature (LST) monitoring. Evolution of UGS in relation to LST was examined by using Sentinel-2 MSI data. Heat stress index pattern showed higher risks in urban areas with denser residents.