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首页> 外文会议>Asian conference on remote sensingACRS >ON MODELS FOR ESTIMATION OF SUBMERGED SEAGRASS ABOVEGROUND BIOMASS IN SHALLOW COASTAL WATER
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ON MODELS FOR ESTIMATION OF SUBMERGED SEAGRASS ABOVEGROUND BIOMASS IN SHALLOW COASTAL WATER

机译：浅沿海地水中淹没地上生物量估计模型

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Recent works have seen satellite remotely sensed images be used in estimation of the aboveground seagrass biomass. This can be accomplished in coastal area where the seagrass are fully exposed during the lowest low tide for satellite data acquisition. However to acquire satellite images of fully exposed seagrass is very rare and not all coastal areas with seagrass occurrence ever experiences an exposed lowest low tides. In shallow submerged seagrass, model for deriving for the aboveground biomass using satellite image is not well-established and finely reported yet. Hence, this article introduces a few models for retrieval of submerged seagrass biomass based on empirical analysis, and experimental-based allometric approaches using samples of E. acoroides (giant), T. hemprichii (medium) and H. ovalis (small), common seagrass species with significant different in size in Malaysian coastal water. Using medium resolution scale (30m pixel resolution) of Landsat 8 Operational Land Imager (OLI), seagrass biomass can be quantified in various scales by integrating the empirical model with allometric model. Preliminary results indicated empirical analysis is viable through the plant densities (0% to 100%) with dry biomass weights. Refining these densities and biomass weights with allometric approach has preliminary shown improved accuracy. It is therefore concluded that physical model for retrieval of submerged seagrass biomass using remote sensing data require further elaborations and expected to produce more promising results for seagrass in natural as well as complex coastal environment.
机译：最近的作品已经看到卫星远程感测图像用于估计地上海草生物质。这可以在沿海地区完成，在卫星数据采集的最低潮汐期间海草完全暴露。然而，要获得完全暴露的海草的卫星图像非常罕见，并非所有海草发生的沿海地区都会经历暴露的最低低潮。在浅层淹没的海草中，使用卫星图像导出地上生物量的模型尚未确定和整理。因此，本文介绍了几种模型，用于基于经验分析检索淹没的海草生物量，以及使用E. Acoroides（巨头），T.Hemprichii（中等）和H. ovalis（小）的样品的实验性的同种方法。常见的海草种类在马来西亚沿海水中大小的大小。利用Landsat 8运行陆地成像器（OLI）的中间分辨率刻度（30m像素分辨率），通过将实证模型与各种模型集成，可以在各种尺度上量化海草生物量。初步结果表明经验分析通过植物密度（0％至100％）具有干生物质重量的可行性。精制与各种方法的这些密度和生物质重量初步显示了提高的精度。因此，得出结论认为，使用遥感数据检索淹没的海草生物量的物理模型需要进一步的详细说明，并预计将为自然和复杂的沿海环境生产更多的有希望的成果。

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