Spatio-temporal association of light pollution and urban sprawl using remote sensing imagery and GIS: A simple method based in Otsu's algorithm

2020 ◽  
Vol 251 ◽  
pp. 107060
Author(s):  
Héctor Lamphar
Keyword(s):  
Remote Sensing ◽  
Urban Sprawl ◽  
Temporal Association ◽  
Light Pollution ◽  
Simple Method ◽  
Remote Sensing Imagery ◽  
Spatio Temporal

Building Long-Term and Consistent Vegetation Index Based on Association Analysis between Different VI Products

2012 ◽  
Vol 518-523 ◽  
pp. 5261-5266 ◽  
Author(s):  
Zong Yao Sha ◽  
Yong Fei Bai
Keyword(s):  
Remote Sensing ◽  
Association Analysis ◽  
Vegetation Index ◽  
Global Environment ◽  
Temporal Association ◽  
Sensing Platforms ◽  
Modis Evi ◽  
Spatio Temporal ◽  
Dynamics Of Vegetation

The dynamics of vegetation cover plays an important role in global environment evaluation. Due to the spatial, spectral and radiometric differences among different remote sensing platforms, building long-term and consistent vegetation index (VI) time series is desired to derive comparable vegetation health. In this paper, an approach called Min_Max stretch transformation (MMST) was proposed to generate long-term and consistent VI series based on spatio-temporal association analysis between AVHRR NDVI and MODIS EVI. The proposed approach intended to map AVHRR NDVI to MODIS EVI level and thus both VI products provided consistent VI series. The consistency of the transformed dataset was further evaluated.

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