当社グループは 3,000 以上の世界的なカンファレンスシリーズ 米国、ヨーロッパ、世界中で毎年イベントが開催されます。 1,000 のより科学的な学会からの支援を受けたアジア および 700 以上の オープン アクセスを発行ジャーナルには 50,000 人以上の著名人が掲載されており、科学者が編集委員として名高い
。オープンアクセスジャーナルはより多くの読者と引用を獲得
700 ジャーナル と 15,000,000 人の読者 各ジャーナルは 25,000 人以上の読者を獲得
Amr E Fleiflea
The Mekong River has recently been suffering from environmental degradation despite its global significance of biodiversity. The monitoring of important constituents of ecosystems is critical for implementing effective environmental management. Meanwhile, the application of remote sensing to assess inland water quality has recently escalated due to its scanning wide water bodies within a short time period. In this study, the applicability for monitoring suspended sediment load (SSL) in the Mekong River over temporal and spatial dimensions was investigated. Landsat scenes captured between 1988 and 2000, including 110 Thematic Mapper (TM) images and 21 Enhanced Thematic Mapper Plus (ETM+) images, were analysed in correspondence with ground observations. The three visible and near infrared bands were included in the analysis. The polynomial relationship of the NIR exoatmospheric reflectance, band 4 wave length: 760-900 nm, to SSL based on the ground observations at 9 sites along the river demonstrated the best agreements (overall R2, 0.76). Subsequently, the equation enables us to reasonably estimate the suspended sediment load longitudinal profiles and its temporal changes. Thus, the results confirmed a high applicability of satellite image for monitoring SSL in relatively large rivers such as the Mekong River.