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Un conjunto de datos de vectores fluviales globales mejorado basado en la fusión de datos fluviales multifuente

Yensen Liu1, Jianhua Wang1, Changjun Liu1

  • 1State Key Laboratory of Water Cycle and Water Security, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.

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Resumen
Este resumen es generado por máquina.

Un nuevo conjunto de datos fluviales globales, GSriver, mejora significativamente la precisión espacial al fusionar datos de OpenStreetMap, HydroRIVERS y GRIT. Este conjunto de datos mejorado ofrece una representación más precisa de los sistemas fluviales para la investigación hidrológica y ambiental.

Palabras clave:
conjunto de datos fluviales globalesfusión de datosprecisión espacialhidrologíaOpenStreetMapHydroRIVERSGRITGSriver

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Área de la Ciencia:

  • Hidrología
  • Ciencias Geoespaciales
  • Ciencias Ambientales

Sus antecedentes:

  • Los conjuntos de datos fluviales globales de alta precisión son esenciales para la investigación hidrológica y ambiental.
  • Los conjuntos de datos existentes a menudo presentan imprecisiones espaciales significativas, lo que limita su utilidad.
  • Las limitaciones en los conjuntos de datos actuales exigen métodos mejorados para la cartografía fluvial global.

Objetivo del estudio:

  • Desarrollar un marco novedoso de fusión de datos vectoriales fluviales multifuente para generar un conjunto de datos fluviales globales de alta precisión espacial con información topológica.
  • Abordar las limitaciones de precisión espacial de los conjuntos de datos fluviales globales existentes.
  • Crear un conjunto de datos fluviales globales disponible públicamente, escalable y rentable.

Principales métodos:

  • Integración de las vías fluviales de OpenStreetMap (OSM) (alta resolución, topología incompleta) con HydroRIVERS.
  • Suplementación de segmentos fluviales faltantes utilizando el conjunto de datos Global River Topology (GRIT).
  • Marco de fusión diseñado para preservar la topología fluvial completa al tiempo que se mejora la precisión espacial.

Principales resultados:

  • El conjunto de datos resultante, GSriver, demuestra una precisión espacial significativamente mejorada en comparación con MERIT, GRIT e HydroRIVERS.
  • GSriver muestra mejoras de precisión del 36,3% sobre MERIT, del 40,7% sobre GRIT y del 56,7% sobre HydroRIVERS.
  • Más del 40% de los nodos de GSriver presentan desviaciones inferiores a 10 metros con respecto al conjunto de datos NHDPlus de alta precisión.

Conclusiones:

  • El marco de fusión propuesto aprovecha eficazmente los datos de crowdsourcing (OSM) para superar las limitaciones de precisión espacial de los conjuntos de datos fluviales derivados de DEM tradicionales.
  • GSriver ofrece una solución escalable y rentable para la construcción de conjuntos de datos fluviales de alta precisión a gran escala.
  • El conjunto de datos GSriver, disponible públicamente, proporciona un recurso valioso para avanzar en la investigación hidrológica y ambiental.