台江國家公園為台灣唯一自然溼地生態國家公園，沿海海岸陸棚平緩，西海岸輸砂量大，風與潮汐作用使河口淤積向外隆起，形成自然的海埔地。陸域生態多元且植物資源豐富，其中紅樹林特別之處是生長於熱帶與亞熱帶河海交接處，土壤鹽量高且缺氧，本研究區域為四草濕地，為台江國家公園內紅樹林範圍較大的區域。然而全台各地工業開發與海水養殖等原因，紅樹林濕地面積逐漸減少，因此保育紅樹林成了重要的課題。
使用實地探勘須大量的人力與時間，調查面積有限，為快速取得同一時期內的現地資料，本研究採用具有高時空解析度特性的福衛二號遙測影像以節省人力與時間成本。經由篩選無雲覆蓋福衛二號2006年至2010年五年期影像，將福衛二號正射影像進行正規化差異植生指數(NDVI)計算，將NDVI計算結果做遮罩套疊，搭配現地調查資料進行監督式分類。
由監督式分類結果研究發現此區域紅樹林於每年3月至11月最茂盛。2006年至2010年間四草濕地的紅樹林生長呈現動態平衡，沒有大幅擴張或減少的現象。此研究方法可利用於紅樹林調查與保育，長期影像監測可減少人力調查多次進出保育區的破壞。

Taijiang National Park is the only national park that has natural wet land ecology in Taiwan. The massive amount of sediment transported along the flat and shallow shelf of western coast of Taiwan has resulted in a lot of depositions in the vicinity of river mouth. With natural influences of wind and tide, tidal lands are formed and various plants grow in this area, especially mangrove trees which can only be found in saline coastal sediment habitats in the tropics and subtropics. The research area of this thesis focuses on mangrove tree conservation area of Sihcao Wetland. The rapid development of industry and the seawater agriculture have put them in the threat of extinction and made mangrove tree preservation the most important issue nowadays.
To collect terrain data rapidly and save labor cost among the same time, this thesis employs high-spatiotemporal-resolution imagery taken by Formosat-2 and aerial photos taken by unmanned aerial vehicles. By revisiting the same area daily, imagery taken by Formosat-2 which can be employed as data of long term observations. While unclouded imagery from 2006 to 2010 being processed through false color overlay and normalized difference vegetation index (NDVI) calculation is selected as terrain data, aerial photos taken by unmanned aerial vehicles are ground truth data. These two data are analyzed to precede supervised classification.
The result of supervised classification reveals that mangrove trees of the study area are the most exuberant in summer. The growth of mangrove trees in Sihcao Wetland remains its dynamic equilibrium from 2006 to 2010 without sharply increasing or decreasing in its quantity. This research method aims to investigate and preserve mangrove trees by long term image monitoring and avoid any artificial influences upon the conservation area.

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