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Phenological Changes in Alaminos and Bani Watersheds Derived Using MODIS Data: Indications of Salinity Intrusion

机译:使用MODIS数据导出的Alaminos和Bani流域的鉴别变化:盐度入侵的指示

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Vegetation phenology reflects seasonality and the dynamics of climate and hydrologic regimes. This study aims to figure out the phenological change as affected by seawater intrusion and other factors in Alaminos and Bani watersheds in Pangasinan, Philippines. Remotely sensed data has provided means of studying patterns and dynamics in vegetation. Time series VI (Vegetation Index) curves can reflect a real trend of vegetation growth and therefore have been used to interpret the seasonal cycle and land cover classification. In this study, Moderate Resolution Imaging Spectroradiometer Normalized Difference Vegetation Index (MODIS NDVI) images from 2006 to 2012 were used to extract several phenological parameters including beginning date, ending date, and length of growing season by applying TIMESAT software developed by Jonsson and Eklundh (2004). This dataset (MOD13Q1) is a 16-day composite MODIS NDVI data with spatial resolution of 250 m. Samples for TIMESAT were taken across the watersheds and were mainly focused on vegetated and crop land areas. Based on TIMESAT phenological analysis results, natural vegetated areas (i.e., grassland, brushland) have similar profiles with cropland in terms of the beginning, the ending and the length of growing season. For the cropland, mostly rice fields, which are near the sea, the length of growing season for both watersheds was found longer than those that are far from the sea. However, near the sea, cropland has early growing phase, while far from the sea, the growing phase is much later by about a month. The results also indicated that there is an interesting consistent difference in total vegetation growth (i.e., small seasonal integral) between croplands near and far from the sea. Croplands near the sea have less vegetation growth compared to the ones that are far from the sea due to the seawater intrusion. However, there are no consistent differences in the beginning, ending, length and small seasonal integral for natural vegetated areas in both watersheds. These findings can be used in mapping areas affected by seawater intrusions exacerbated by rising sea levels due to climate change.
机译:植被候选反映了气候和水文制度的季节性和动态。本研究旨在弄清楚受菲律宾州普利尼亚州的海水入侵和阿拉米斯和巴尼流域其他因素的挥发性变化。远程感测数据提供了在植被中研究模式和动态的方法。时间序列VI(植被指数)曲线可以反映植被增长的真正趋势,因此已被用于解释季节性周期和陆地覆盖分类。在这项研究中,2006年至2012年的适度分辨率成像光谱率(MODIS NDVI)图像用于提取几个候选何种毒性参数,包括jonsson和eklundh( 2004)。该数据集(Mod13Q1)是一个16天的复合MODIS NDVI数据,其空间分辨率为250米。针对TimeAt的样品在流域上占据,主要集中在植被和作物土地上。基于Timeat挥发性分析结果,自然植被区(即草原,刷楼)在开始,结束和生长季节的长度方面具有类似的田间。对于农田,大多数稻田,靠近海边,流域的生长季节的长度比远离大海的季节。然而,在海边,农田已经早期增长阶段,虽然远离大海,但增长的阶段大约一个月后。结果还表明,农田之间和远离海洋之间的农田之间的总植被增长(即小季节积分)存在一致差异。与海水侵入导致的海洋附近的农作物较少的植被增长。然而,在流域的自然植被区域的开始,结束,长度和小季节积分没有一致的差异。这些发现可用于受海水入侵影响的映射区域,由于气候变化,海平面上升而加剧。

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