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UID:pretalx-qgis-uc2024-SRLJKG@talks.staging.osgeo.org
DTSTART;TZID=CET:20240909T163000
DTEND;TZID=CET:20240909T170000
DESCRIPTION:This study reflects the opportunity to utilize QGIS for validat
 ion of crop maps in agriculture\, focusing on Gezira Scheme in Sudan. Due 
 to its vast size and access limitations to some areas\, making direct grou
 nd-based crop mapping across all fields is impractical. Leveraging the cap
 abilities of the Google Earth Engine (GEE) code editor\, Sentinel-2 imager
 y was employed to generate a crop map. However\, validation of this map ne
 cessitated comparison with an existing map from local authorities\, who ut
 ilized a different remote sensing-based software for its creation. Given t
 he shared remote sensing basis of both maps\, pixel by pixel comparison em
 erged as the most effective method. Furthermore\, the outcomes of this com
 parison served to enhance the precision of the GEE crop map. \nInitially\,
  the Map Swipe tool\, a QGIS plugin\, was employed to visually compare the
  two maps\, pinpointing smaller areas exhibiting significant differences. 
 This approach streamlined the process by focusing detailed analysis on the
 se specific regions\, alleviating the need for exhaustive comparison acros
 s the entire boundary\, such as the expansive Gezira scheme. The Map Swipe
  tool facilitates seamless comparison by allowing users to swipe over two 
 active layers\, facilitating direct visual contrast. Following the identif
 ication of regions with notable disparities\, they were isolated from the 
 broader scheme boundary using the clipped raster by mask layer tool. Subse
 quently\, utilizing the raster calculator\, pixels classified similarly in
  both maps were extracted. Finally\, each resulting map underwent polygoni
 zation\, and the polygons were merged to construct the new input training 
 dataset.\nSignificantly accurate crop mapping within schemes like Gezira i
 s paramount for optimizing agricultural productivity\, water resource mana
 gement\, and sustainable land use planning. This QGIS-enhanced validation 
 approach contributes to informed decision-making processes in agricultural
  management and policy formulation within the context of schemes with no g
 round-obtained crop maps.
DTSTAMP:20260414T060749Z
LOCATION:B320
SUMMARY:QGIS-Enhanced Validation of Remote Sensing Crop Maps: Improving Agr
 icultural Management in the Gezira Scheme\, Sudan - Razan Elnour
URL:https://talks.staging.osgeo.org/qgis-uc2024/talk/SRLJKG/
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