Extinction Effect of Foliar Dust Retention on Urban Vegetation as Estimated by Atmospheric PM10 Concentration in Shenzhen, China

• Published in: Remote sensing (Basel, Switzerland) Switzerland), 2022-10, Vol.14 (20), p.5103
• Main Authors: Yu, Tianfang, Wang, Junjian, Chao, Yiwen, Zeng, Hui
• Format: Article
• Language: English
• Subjects: Accuracy; Coastal zone; Datasets; Dust; Extinction; foliar dust retention; Gaofen-4 satellite; Hydrologic data; Normalized difference vegetative index; Particulate matter; Phenology; Precipitation; Rainfall; Remote monitoring; Remote sensing; remote sensing application; Retention; Satellites; Shenzhen City; Vegetation; vegetation index
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs14205103

Foliar dust retention is a crucial source of uncertainty when monitoring the vegetation index using satellite remote sensing. As ground sampling conditions are limited by vegetation dust retention, separating the extinction effect of foliar dust retention from the normalized difference vegetation index (NDVI) poses a significant challenge. In this study, we conducted a correlation test between the relative change in NDVI (δNDVI, an indicator of extinction effect) retrieved by the Gaofen-4 satellite and the atmospheric PM10 concentration in different meteorological periods (before, during, and after rainfall) across 14 stations in Shenzhen City, China. The results showed a significant correlation between δNDVI and atmospheric PM10 concentration during the before-rainfall period and weaker correlations for the other periods (R = 0.680, p < 0.001, n = 63 when excluding the during- and after-rainfall data). The correlation was more significant for the stations with low NDVI values, and a coastal station had a distinct regression slope of δNDVI versus PM10 from the other stations, indicating that the extinction effect of foliar dust retention in high-NDVI and coastal areas may not be well predicted by the general δNDVI–PM10 relationship. This provides a new quantitative basis for estimating the extinction effect of foliar dust retention using PM10 data for future improvement of the accuracy of vegetation monitoring by remote sensing.