【摘要】：利用具有較好分類性能的隨機(jī)森林分類算法,對(duì)焦作市1988年、1993年、2001年、2004年、2010年和2014年的多季節(jié)TM,ETM+,OLI數(shù)據(jù)分類后檢測(cè)其土地利用時(shí)空變化,得出土地利用變化數(shù)據(jù)信息,分析促使其土地利用類型轉(zhuǎn)變的主要驅(qū)動(dòng)因素。結(jié)果表明:(1)在遙感影像分類中,DEM的重要性程度大于其他變量。(2)農(nóng)用地面積在1993年達(dá)到最大;建設(shè)用地近26a增長(zhǎng)1倍多,近幾年增速放緩;林地面積近幾年有所增加。(3)1993—2001年,裸地和農(nóng)用地相互轉(zhuǎn)變最為劇烈,8a間土地利用轉(zhuǎn)移綜合總量最大。2010—2014年綜合年均變化量最大;2001—2004年農(nóng)用地和林地年均減少量最大,3a間建設(shè)用地增長(zhǎng)最為迅速。(4)受自然因素的影響,建設(shè)用地和農(nóng)用地的空間變化主要分布在中東部地區(qū)。裸地與人口密度呈現(xiàn)極顯著負(fù)相關(guān),通過(guò)顯著性0.01水平檢驗(yàn)。焦作市地均GDP總量每增加1%,建設(shè)用地面積增加0.12%。城市要尋求產(chǎn)業(yè)轉(zhuǎn)型,在保證未來(lái)新區(qū)發(fā)展建設(shè)的同時(shí),也要保障糧食的供給。
[Abstract]:Based on the stochastic forest classification algorithm with better classification performance, the spatial and temporal changes of land use of Jiaozuo City in 1988, 1993, 2001, 2004, 2010 and 2014 were detected by multi-season TM,ETM and OLI data classification. The data information of land use change is obtained, and the main driving factors of land use type change are analyzed. The results show that: (1) in the classification of remote sensing images, the importance of DEM is greater than other variables. (2) the agricultural land area reached its maximum in 1993, the construction land has more than doubled in recent 26 years, and the growth rate of construction land has slowed down in recent years. The forest land area has increased in recent years. (3) from 1993 to 2001, the change between bare land and agricultural land was the most intense, and the integrated total amount of land use transfer in 8 years was the largest. In 2010-2014, the comprehensive annual change was the largest; From 2001 to 2004, the average annual decrease of agricultural land and forest land was the largest, and the increase of construction land was the fastest in 3 years. (4) affected by natural factors, the spatial changes of construction land and agricultural land were mainly distributed in the middle and eastern part of China. There was a significant negative correlation between bare land and population density, which was tested at the level of significance of 0.01. Jiaozuo city average total GDP increased by 1%, construction land area increased by 0.12%. Cities to seek industrial transformation, while ensuring the future development and construction of new areas, but also to ensure the supply of food.
【作者單位】： 中國(guó)地質(zhì)大學(xué)(北京)土地科學(xué)技術(shù)學(xué)院;國(guó)土資源部土地整治重點(diǎn)實(shí)驗(yàn)室;
【分類號(hào)】：F301.24
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本文編號(hào)：2448699