Scholarlink

<p>Agriculture is a critical sector for food security and raw material production. Yet it faces intensifying challenges due to water scarcity, particularly in arid and semi-arid regions such as the Mediterranean basin. While Remote Sensing (RS) encompasses various platforms, satellite-based Earth Observation (EO) offers promising solutions for assessing evapotranspiration (ET), a key factor in sustainable agricultural water resource planning. However, integrating these remote sensing (RS) data into local agricultural applications presents significant theoretical and practical complexities. To address the knowledge gap in how these technologies have evolved, this study employs a combined bibliometric analysis and systematic literature review. The analysis encompasses 3908 articles retrieved from the Web of Science and Scopus databases between 2000 and 2024. The findings reveal a substantial exponential growth in RS-based ET research over the past two decades, highlighting a strong focus on water management in water-limited environments. Beyond identifying influential authors and global distribution, this review critically evaluates the most employed methodologies. Key results highlight that while Thermal Infrared (TIR) models remain dominant, optical trapezoid models (OPTRAM) offer promising high-resolution alternatives for monitoring crop water stress in arid agricultural systems. These insights are particularly relevant for improving irrigation precision in water-scarce regions characteristic of the Mediterranean climate.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Remote sensing contributions to evapotranspiration modeling and assessment: models and methods

  • 期刊论文

  • 发表日期：

    2026年5月5日

查看全文
  • Sara Merzoug,
  • Youssef Es-Saady,
  • Mohamed El Hajji,
  • Zine El Abidine El Morjani

摘要

Agriculture is a critical sector for food security and raw material production. Yet it faces intensifying challenges due to water scarcity, particularly in arid and semi-arid regions such as the Mediterranean basin. While Remote Sensing (RS) encompasses various platforms, satellite-based Earth Observation (EO) offers promising solutions for assessing evapotranspiration (ET), a key factor in sustainable agricultural water resource planning. However, integrating these remote sensing (RS) data into local agricultural applications presents significant theoretical and practical complexities. To address the knowledge gap in how these technologies have evolved, this study employs a combined bibliometric analysis and systematic literature review. The analysis encompasses 3908 articles retrieved from the Web of Science and Scopus databases between 2000 and 2024. The findings reveal a substantial exponential growth in RS-based ET research over the past two decades, highlighting a strong focus on water management in water-limited environments. Beyond identifying influential authors and global distribution, this review critically evaluates the most employed methodologies. Key results highlight that while Thermal Infrared (TIR) models remain dominant, optical trapezoid models (OPTRAM) offer promising high-resolution alternatives for monitoring crop water stress in arid agricultural systems. These insights are particularly relevant for improving irrigation precision in water-scarce regions characteristic of the Mediterranean climate.