Detection of potentially gas flaring related pollution on vegetation cover and its health using remotely sensed data in the Niger delta, Nigeria

Detection of potentially gas flaring-related pollution on vegetation cover using remotely sensed data at 11 flaring sites in Rivers State, Nigeria is the emphasis this research. 21 Landsat 7 Enhanced Thematic Mapper Plus (ETM ), and 4 8 Operational Land Imager Thermal Infrared Sensor (OLI-TIRS) dated from 21/04/2000 to 05/02/2022 with 3 cloud were used. Normalized Differential Vegetation Index (NDVI) was retrieved corrected bands (1-4), (2-5). Corrected thermal band used for computation Surface Temperature (LST). Change NDVI (δNDVI450-60)m LST ( δLST60-450m) computed. values 60 m stack show that as year increases, around reduces almost zero. Linear regression analysis considered (δ NDVI450-60)mN against δNDVI450-60)mE, (δNDVI450-60)mN (δNDVI450-60)mS, (δNDVI450-60)mW. Only (δNDVI450-60)mW give statistically significant results 99 % confidence level (p-value 0.0016). (δNDVI450-60)mN,E,S,W (δLST60-450)mN,E,S,W positive correlation but insignificant. Based research, it can be concluded detected Niger Delta.