Practicality Study of Adding NDVI to Monitor the Turbidity in Reservoirs

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Title:	Practicality Study of Adding NDVI to Monitor the Turbidity in Reservoirs
Authors:	陳莉 Chen, Li
Contributors:	土木工程學系 Civil Engineering
Keywords:	濁度；遙測；常態化差異植生指標；多元線性回歸 remote sensing;normalized difference vegetation index;multiple linear regression
Date:	2010
Issue Date:	2014-06-26 20:41:26 (UTC+8)
Abstract:	濁度（Turbidity）為水庫重要水質監測參數之一，會影響供水品質。本研究利用遙測（Remote Sensing, RS）可大範圍觀測之技術來監測水庫濁度之變化，一般常以多個單光譜波段與現地資料進行建模，本研究加入分類上多用以判釋植生之常態化差異植生指標（Normalized Difference Vegetation Index, NDVI），探討於監測水庫濁度變化之可行性。研究使用Landsat-7 ETM+之衛星影像搭配北臺灣各主要水庫之現地資料，利用多元線性回歸（Multiple Linear Turbidity (TB), one of the important water quality parameters, can affect the quality of water supply from reservoirs. The main purpose of this study is to employ remote sensing (RS) technology to monitor the TB variations of water body in reservoirs. Gen
Appears in Collections:	[Department of Civil Engineering] Seminar Papers

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