Feasibility of Applying Remote Sensing and GIS for Carbon Sequestration of Mangroves in Pingtung County

碩士 === 國立屏東科技大學 === 環境工程與科學系所 === 97 === After the industrial revolution, the emission of large amount of green house gases resulted in the green house effect, which has increased the global surface temperature in the 20th Century. It has great impact on the environment as well as the ecological sys...

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Bibliographic Details
Main Authors: Wen-Jeng Tseng, 曾文政
Other Authors: Yi-Chu Huang
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/25850991881058956853
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Summary:碩士 === 國立屏東科技大學 === 環境工程與科學系所 === 97 === After the industrial revolution, the emission of large amount of green house gases resulted in the green house effect, which has increased the global surface temperature in the 20th Century. It has great impact on the environment as well as the ecological system. Among the green house gases, carbon dioxide (CO2) could be easily controlled by present technology and is one of the controlling factors that can be accepted socio-economically by several countries. In order to maintain the amount of CO2 at a level which is twice the amount before the industrial revolution by the end of the 21st Century, then the CO2 level at present has to reduce to more than half of the present value. In Taiwan, because of the industrial development, the energy requirement increased rapidly resulting in the rapid yearly increase in CO2 emission. The changes in mangrove ecology are early indicators of climatic changes. The influence of these changes on the global distribution of mangrove and regional ecological system is one of the topics that draw the attention of government of several countries and environmental protection organizarion. The ecological system of mangrove is a multi-purpose system, which could be used to generate high yielding, and sustainable natural products. Recently, the destruction caused by land development or public works resulted in rapid decrease in the area of mangrove in different countries around the world. Taiwan is surrounded by the ocean, the effective utilization of the wetlands along the coastal region by means of mangrove restoration and forestation can reduce the emission of green house gases such as CO2 and methane (CH4). In order to make the Kyoto Treaty effective, investment in the reduction of CO2 emission is an alternative to those industrial enterprises in the countries where the area of forestation is reducing. In reality, the Avicennia marina mangrove area along the coast of Pingtung is in the form of stripe-shaped community which is different from regions where the mangrove appeared as group communities in the estuaries. The present research utilized images from three sources: SPOT satellite, Formosat-2 satellite and airborne remote sensing. Application of ERDAS and ArcGIS software in combination with the Supervised Classification and Maximum Likelihood Method was utilized to study the land cover classification to evaluate a suitable way for remote sensing. Furthermore it was attempted to predict the carbon sequestration of Avicennia marina mangrove in Pingtung area using airborne remote sensing method to investigate the Normalized Difference Vegetative Index (NDVI) of the mangrove. Results of the present study indicated that SPOT satellite images and the un-supplemented near red (NIR) spectrum of Formosat-2 satellite images were not suitable to monitor remote sensing of the mangrove area in Pingtung because the sensing resolution was greater than the width of the mangrove growing stripe. Only the airborne remote sensing with high resolution and with near red spectrum images was suitable for this purpose. According to the airborne remote sensing, the NDVI values of the mangroves in Pingtung area were between 0.226 to 0.283 and the estimated total amount of carbon sequestration was 1,491.74 tons. The present research only discussed the feasibility of using remote sensing to estimate the total amount of carbon sequestration. During this study, the traditional ground investigation of biomass for carbon sequestration of mangroves was not included as the check for comparison. Through the literatures’ survey of mangrove remote sensing, the NDVI values of other mangrove species are within the range of 0.20 to 0.465, indicating the result of the present study is feasible.