Urban vegetation land covers change detection using multi-temporal MODIS Terra/Aqua data

Maria A. Zoran; Roxana S. Savastru; Dan M. Savastru; Adrian I. Dida; Ovidiu M. Ionescu

doi:10.1117/12.2028710

16 October 2013 Urban vegetation land covers change detection using multi-temporal MODIS Terra/Aqua data

Maria A. Zoran, Roxana S. Savastru, Dan M. Savastru, Adrian I. Dida, Ovidiu M. Ionescu

Proceedings Volume 8887, Remote Sensing for Agriculture, Ecosystems, and Hydrology XV; 888720 (2013) https://doi.org/10.1117/12.2028710
Event: SPIE Remote Sensing, 2013, Dresden, Germany

Abstract

Urban vegetation land cover change is a direct measure of quantitative increase or decrease in sources of urban pollution and the dimension of extreme climate events and changes that determine environment quality. Spatio- temporal monitoring of urban vegetation land cover changes is a very important task for establishing the links between policy decisions, regulatory actions and subsequent land use activities. Former studies incorporating two-date change detection using Landsat TM/ETM data had limited performance for urban biophysically complex systems applications. In this paper, we describe recent results using data from NASA’s Moderate Resolution Imaging Spectroradiometer and NOAA/AVHRR satellite to study urban vegetation land cover dynamics. This study explored the use of time-series MODIS Terra/Aqua Normalized Difference Vegetation Index (NDVI) and Leaf Area Index (LAI), data to provide change detection information for metropolitan area of Bucharest in Romania. Training and validation are based on a reference dataset collected from IKONOS high resolution remote sensing data. The mean detection accuracy for period 2002- 2012 was assessed to be of 89%, with a reasonable balance between change commission errors (21.7%), change omission errors (28.5%), and Kappa coefficient of 0.69. Annual change detection rates across the urban/periurban areas over the study period (2002–2012) were estimated at 0.78% per annum in the range of 0.45% (2002) to 0.75% (2012).Vegetation dynamics in urban areas at seasonal and longer timescales reflect large-scale interactions between the terrestrial biosphere and the climate system.

Citation Download Citation

Maria A. Zoran, Roxana S. Savastru, Dan M. Savastru, Adrian I. Dida, and Ovidiu M. Ionescu "Urban vegetation land covers change detection using multi-temporal MODIS Terra/Aqua data", Proc. SPIE 8887, Remote Sensing for Agriculture, Ecosystems, and Hydrology XV, 888720 (16 October 2013); https://doi.org/10.1117/12.2028710

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