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UID:pretalx-foss4g-2026-TSHBPR@talks.osgeo.org
DTSTART;TZID=JST:20260903T133000
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DESCRIPTION:This talk details an end-to-end analysis pipeline for early-sea
 son crop mapping. We demonstrate how to process multi-sensor Sentinel data
  \, automate CWT scalogram generation \, and deploy optimized PyTorch CNN 
 models. This workflow enables rapid\, scalable geospatial inferencing by m
 inimizing data sequence requirements.
DTSTAMP:20260604T204528Z
LOCATION:Ran1
SUMMARY:End-to-End Deep Learning Analysis Pipeline for Early-Season Crop Ma
 pping using Sentinel Data and Continuous Wavelet Transforms - Sarawut Nins
 awat\, Thantham Khamyai\, sittichai choosumrong
URL:https://talks.osgeo.org/foss4g-2026/talk/TSHBPR/
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