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UID:pretalx-foss4g-2022-3DWDPJ@talks.staging.osgeo.org
DTSTART;TZID=CET:20220825T152500
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DESCRIPTION:For decades\, the open source community has made an enormous co
 ntribution 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 se
 nsing datasets. QGIS is an open source software package involving experts 
 and users from around the world. QGIS is a useful tool for spatial visuali
 zation and analysis\, making it a viable alternative to other costly softw
 are packages. It has became an effective tool for processing   and analysi
 ng the climate  data\, based on the potentiality and flexibility  of graph
 ical modeler imbedded plugin. Therefore\, the aim of this work is to asses
 s impact of Rainfall variability on Vegetation Phenology cycle  in Niger D
 elta from 2010 to 2019 using Open source QGIS graphical Modeler. The rainf
 all data was collected from Tropical Rainfall Measuring Mission (TRMM).The
  Moderate Resolution Imaging Spectroradiometer (MODIS) data MOD11A1 of 201
 0-2020 were download for two years intervals from the United States Nation
 al 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 Vege
 tation Index(NDVI) and Rainfall variability from TRMM . The mean Rainfall 
  and NDVI were extracted using the administrative boundary shapefile of th
 e study area. The results were presented in figures\, maps and graphs\, an
 d they show that Rainfall Variation have occurred with considerable impact
 s on the vegetation phenology cycle in Nigeria between 2010 and 2020. Rain
 fall data and NDVI indicate a high correlation with vegetation with the im
 plication that as rainfall increased\, the vegetation also increased and i
 nversely. In view of the above findings and observations\, the occurrence 
 of rainfall variability and its grave impact in Nigeria has been empirical
 ly determined. Therefore\, while the use of remote sensing and GIS techniq
 ue in continuous monitoring of climatic indices and vegetation phenology c
 ycles are highly recommended\, The open source software should also be hig
 hly encouraged and freely made available for scientific research.
DTSTAMP:20260404T210824Z
LOCATION:General online
SUMMARY:Impact of Rainfall variability on Vegetation Phenology cycle in Nig
 er Delta Region Using QGIS Graphical Modeler - Lamidi souleman
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/3DWDPJ/
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