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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/80836

    Title: 應用Google Earth Engine與影像分類技術於巴拉圭查科地區進行森林砍伐評估;Deforestation Assessment in the Paraguayan Chaco using Google Earth Engine
    Authors: 馬莉亞;Torres, Maria Leticia Cardozo
    Contributors: 國際永續發展碩士在職專班
    Keywords: 森林砍伐;Google Earth Engine;巴拉圭查克地區;Landsat;隨機森林分類器;Deforestation;Google Earth Engine;Paraguayan Chaco;Landsat;Random Forest Classifier
    Date: 2019-08-22
    Issue Date: 2019-09-03 15:10:41 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 森林作為生物多樣性的資源庫,能為野生動物提供棲息地,有利固碳,並緩解氣候溫室效應。近年來,人類活動是造成森林砍筏的主要因素。本研究的目的是通過雲端的Google Earth Engine(GEE)平台,進行衛星影像整合及分析,對南美洲巴拉圭查科的森林砍伐問題進行評估。本研究直接透過GEE平台上收集、整合2013年和2017年二年期查科地區的多幅Landsat衛星影像,利用隨機森林分類器(Random Forest Classifier)進行監督式影像分類,將研究區不同類型之土地覆蓋類別進行區分,用以後了解此二年期間森林砍伐之空間分布並評估森林覆蓋率變化的狀況。
    利用GEE平台獲得的分類結果經檢核點驗證後得到:2013年分類總體正確度(overall accuracy)為0.86,2017年為0.87。結果表明利用GEE平台不僅可進行快速、有效影像整合,亦可產出可靠的影像分類圖資。
    ;Forests act as a reservoir of biodiversity, shelter to wildlife, carbon sinks, and mitigates climate change. Despite their importance, they have been threatened by human activities, which is the main driver of deforestation. The objectives of this study are the assessment and analysis of deforestation in the Paraguayan Chaco, South America, by means of satellite image classification and analysis through the cloud-based Google Earth Engine (GEE) platform.
    Landsat images from the years of 2013 and 2017 were classified by a pixel-based supervised Random Forest Classifier. The classification results from different land-cover in the study area were then use to assess the deforestation, which expose a forest cover loss, in 2013 the forest cover was 172,862 km2 and 163,875.5 km2 in 2017; this revealed a cover loss of 8,986.3 km2 in 4 years. Furthermore, the classification results obtained in GEE platform were validated with validation points, the classification overall accuracy obtained was 0.86 for 2013 and 0.87 for 2017. The results indicate that GEE perform a rapid image processing and it is an effective reliable platform for deforestation assessment within the Chaco area.
    The results shown that the deforestation process leaves geometry rectangular features in the land surface and they are easily visualized, this suggests that there is a large scale clearing and heavy machinery is use. The main driver of deforestation in the Chaco is cattle ranching, and the results of this study indicate that the deforestation in continue advancing. During the years of study, Paraguay increase the amount of meat exportation, situating the country within the top 10 major countries worldwide exporter of meat, and this coincide with the increase of deforestation in the Chaco, this problem is likely to continue, because Paraguay set a country goal of reaching more cattle heads by 2020.
    Moreover, the results revealed that the deforestation process was spread within and in the buffer zones of the national forest protected areas, this suggest that there is lack of compliance with law were it stated that the protected areas are forbidden to use for economic purposes. Indigenous communities were also affected by the deforestation in the study period, threatening their home land and heritage.
    Appears in Collections:[國際永續發展在職專班] 博碩士論文

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