An inversion model for estimating the negative air ion concentration using MODIS images of the Daxing'anling region.

ABSTRACT: The negative air ion (NAI) concentration is an essential indicator of air quality and atmospheric pollution. The NAI concentration can be used to monitor air quality on a regional scale and is commonly determined using field measurements. However, obtaining these measurements is time-consuming. In this paper, the relationship between remotely sensed surface parameters (such as land surface temperature, normalized difference vegetation index (NDVI), and leaf area index) obtained from MODIS data products and the measured NAI concentration using a stepwise regression method was analyzed to estimate the spatial distribution of the NAI concentration and verify the precision. The results indicated that the NAI concentration had a negative correlation with temperature, leaf area index (LAI), and

SUBMITTER: Yue C 

PROVIDER: S-EPMC7685430 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature