印度Pichavaram地区红树林植被时空变化及其相关环境因子研究(英文版)1996-2016

ripa M K, Ashwini N. Mudaliar, N. Lele, A. Mankad, T. Murthy
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引用次数: 2

摘要

本研究的主要目的是探讨皮查瓦拉姆红树林在1996年至2016年间的年际植被变化。研究主要集中在夏季和季风开始季节,植被的变化很容易被注意到。利用Landsat影像遥感数据估算了归一化植被指数(NDVI)、地表温度(LST)和地表水指数(LSWI)等植被指数。综合评价植被指数间的关系,红树林面积呈逐年增加的趋势。相应地,红树林覆盖下的区域也面临着地表温度的升高,但与邻近区域相比要小得多。结果表明,NDVI、LSWI、LST可用于了解红树林植被随温度和水分的增减状况。结果表明,各遥感指标间的相关性与季节有关。总体而言,夏季与NDVI、LST以及LST与LSWI的负相关高于季风开始期。随着时间的推移,各指数之间的相关性也明显增强。因此,在全球气候变化多变的情况下,监测植被的季节变化,特别是红树林,对其进行有效保护是很重要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatio-Temporal Variations in Mangrove Vegetation in conjunction with Related Environmental Factors in Pichavaram (India) 1996-2016
The major objective of the study is to explore the inter-annual vegetation changes of Pichavaram mangroves over two decades (from 1996 to 2016). The study mainly focuses on the summer and onset monsoon season, where the variability in vegetation is easily noticed. Vegetation indices like Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST) and Land Surface Water Index (LSWI) were estimated from the remotely sensed data of Landsat imagery. A comprehensive evaluation of the relationship among the vegetation indices reveals that there is an increase in the area occupied by the mangroves throughout the years. Correspondingly, the area under the mangrove cover have also faced an increase in the surface temperature, but much lesser when compared to the adjacent areas. According to the results obtained, NDVI, LSWI, LST, can be used to understand the status of mangrove vegetation with increase and decrease of temperature and water. It is found that the correlation among the remotely sensed indices depend on the season of the year. The summer season in general exhibited higher negative correlation with NDVI and LST and also between LST and LSWI than the onset monsoon season. It is also apparent that with the passing of years, the correlations among the indices are also found to be increasing. Thus in the global scenario of variable climate change, it is important to monitor the seasonal changes in vegetation, especially mangroves, for their effective conservation.
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