Impact of extreme climate events and anthropogenic stressors on urban green albedo assessed from time-series MODIS satellite data

Maria A. Zoran; Adrian I. Dida; Liviu Florin Zoran

doi:10.1117/12.2325722

9 October 2018 Impact of extreme climate events and anthropogenic stressors on urban green albedo assessed from time-series MODIS satellite data

Maria A. Zoran, Adrian I. Dida, Liviu Florin Zoran

Author Affiliations +

Proceedings Volume 10790, Earth Resources and Environmental Remote Sensing/GIS Applications IX; 107901T (2018) https://doi.org/10.1117/12.2325722
Event: SPIE Remote Sensing, 2018, Berlin, Germany

Abstract

In this paper, the negative impact of extreme climate events and urbanization and the subsequent effects on increasing trend of land surface temperature and degradation of urban green system of Bucharest metropolitan region in Romania was assessed using the geospatial and field survey data. Due to anthropogenic and natural factors, urban land covers changes are reflected in the land surfaces albedo changes. The main aim of this paper is to investigate the urban green albedo patterns dynamics due to the impact of atmospheric pollution, deforestation and climate variations on urban green land cover of Bucharest metropolitan area based on satellite remote sensing Landsat TM/ETM/OLI and MODIS Terra/Aqua time series data over 2000–2017 time period. This study is based on MODIS derived biogeophysical parameters land surface BRDF/albedo, LST (land surface temperature) and NDVI products and in-situ monitoring ground data (as air temperature, aerosols distribution, relative humidity, etc.). Due to deforestation in the periurban areas albedo change appears to be the most significant biogeophysical effect in temperate forests. Satellite data and climate station observations show that surface albedo changes of Baneasa forested zone placed close to a large urban area highly respond to atmospheric pollution influence and climate variations. As the physical climate system is very sensitive to surface albedo, urban/periurban vegetation systems could significantly feedback to the projected climate change modeling scenarios through albedo changes.

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Maria A. Zoran, Adrian I. Dida, and Liviu Florin Zoran "Impact of extreme climate events and anthropogenic stressors on urban green albedo assessed from time-series MODIS satellite data", Proc. SPIE 10790, Earth Resources and Environmental Remote Sensing/GIS Applications IX, 107901T (9 October 2018); https://doi.org/10.1117/12.2325722

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KEYWORDS

Climatology

Climate change

Vegetation

Ecosystems

MODIS

Satellites

Atmospheric modeling

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