08-25, 15:25–15:30 (Europe/Rome), General online
For decades, the open source community has made an enormous contribution to remote sensing in terms of tools and solutions, leading to support and inspiration for research.Open source software packages capable of processing digital images have increased the availability of remote sensing datasets. QGIS is an open source software package involving experts and users from around the world. QGIS is a useful tool for spatial visualization and analysis, making it a viable alternative to other costly software packages. It has became an effective tool for processing and analysing the climate data, based on the potentiality and flexibility of graphical modeler imbedded plugin. Therefore, the aim of this work is to assess impact of Rainfall variability on Vegetation Phenology cycle in Niger Delta from 2010 to 2019 using Open source QGIS graphical Modeler. The rainfall data was collected from Tropical Rainfall Measuring Mission (TRMM).The Moderate Resolution Imaging Spectroradiometer (MODIS) data MOD11A1 of 2010-2020 were download for two years intervals from the United States National Aeronautics and Space Administration (NASA) website. The QGIS Graphical modeler was built using arithmetical expression and raster calculation geoprosessing tool to convert the modis data to Normalized Difference Vegetation Index(NDVI) and Rainfall variability from TRMM . The mean Rainfall and NDVI were extracted using the administrative boundary shapefile of the study area. The results were presented in figures, maps and graphs, and they show that Rainfall Variation have occurred with considerable impacts on the vegetation phenology cycle in Nigeria between 2010 and 2020. Rainfall data and NDVI indicate a high correlation with vegetation with the implication that as rainfall increased, the vegetation also increased and inversely. In view of the above findings and observations, the occurrence of rainfall variability and its grave impact in Nigeria has been empirically determined. Therefore, while the use of remote sensing and GIS technique in continuous monitoring of climatic indices and vegetation phenology cycles are highly recommended, The open source software should also be highly encouraged and freely made available for scientific research.
Mr. Souleman Lamidi is a geoinformatics and surveying expert. He has over 10 years hands-on experience in geoinformation production and management (cartography), GIS tools mapping and data management, satellite imagery processing and interpretation, digital terrain model etc... in 2008, he graduated as Technologist Diploma in Geo-information Production & Management (Cartography) at Regional Centre for Training in Aerospace Survey (RECTAS), Ile-Ife, Osun State Nigeria. In 2012 he was awarded the post graduate diploma in Geo-informatics and Surveying in University of Nigeria Nsukka (UNN). Since 2018 he has been undergoing his Master In Science (Msc)Degree in Geo-informatics and surveying in the same university. He is the Principal Consultant at Space Control and Mapping Consultancy Nigeria Limited. authors of several publication.