福建师范大学学报(自然科学版)
福建師範大學學報(自然科學版)
복건사범대학학보(자연과학판)
JOURNAL OF FUJIAN TEACHERS UNIVERSITY (NATURAL SCIENCE EDITION)
2009年
6期
106-113
,共8页
季青%贺伶俐%余明%张春桂
季青%賀伶俐%餘明%張春桂
계청%하령리%여명%장춘계
土地利用/覆被%城市热岛%地表温度%相关分析%福州市
土地利用/覆被%城市熱島%地錶溫度%相關分析%福州市
토지이용/복피%성시열도%지표온도%상관분석%복주시
land use/cover%urban heat island%land surface temperature%correlation analysis%Fuzhou city
在利用Landsat ETM+遥感数据提取的4种信息指数的基础上,采用决策树方法,对福州市土地利用/覆被进行分类,并运用辐射传输方程算法反演了地表温度,进而对研究区城市热岛的空间分布特征及其与土地利用/覆盖类型的关系进行定量研究.结果表明,福州市存在热岛效应,热岛空间分布与城市建成区轮廓基本一致;城市建筑用地和裸地对地表温度的贡献最大,是城市热岛的主要贡献因素,而水体和林草地具有较好的降温作用;不同土地利用/覆盖类型的地表温度存在较大差异,并且地表温度与反映土地利用/覆盖类型的4种指数在一定范围内具有明显的相关性.
在利用Landsat ETM+遙感數據提取的4種信息指數的基礎上,採用決策樹方法,對福州市土地利用/覆被進行分類,併運用輻射傳輸方程算法反縯瞭地錶溫度,進而對研究區城市熱島的空間分佈特徵及其與土地利用/覆蓋類型的關繫進行定量研究.結果錶明,福州市存在熱島效應,熱島空間分佈與城市建成區輪廓基本一緻;城市建築用地和裸地對地錶溫度的貢獻最大,是城市熱島的主要貢獻因素,而水體和林草地具有較好的降溫作用;不同土地利用/覆蓋類型的地錶溫度存在較大差異,併且地錶溫度與反映土地利用/覆蓋類型的4種指數在一定範圍內具有明顯的相關性.
재이용Landsat ETM+요감수거제취적4충신식지수적기출상,채용결책수방법,대복주시토지이용/복피진행분류,병운용복사전수방정산법반연료지표온도,진이대연구구성시열도적공간분포특정급기여토지이용/복개류형적관계진행정량연구.결과표명,복주시존재열도효응,열도공간분포여성시건성구륜곽기본일치;성시건축용지화라지대지표온도적공헌최대,시성시열도적주요공헌인소,이수체화림초지구유교호적강온작용;불동토지이용/복개류형적지표온도존재교대차이,병차지표온도여반영토지이용/복개류형적4충지수재일정범위내구유명현적상관성.
Landsat ETM+ image was selected to extract four indices, including SAVI (Soil Adjusted Vegetation Index), MNDWI (Modified Normalized Difference Water Index), NDBI (Normalized Difference Built -up Index) and NDBaI (Normalized Difference bareness Index). Based on these indices, land use/cover types were classified through decision tree method. After that, the radiative transfer equation algorithm was adapted to retrieve surface temperature in Fuzhou to explore the spatial distribution of urban heat island and its relationship between land use/cover types of study area. Results show that higher temperature was located with a scattered pattern, which was related to certain land use/cover type. Con-tracture land and bareness land make the main contribute to urban heat island while the water and vegetation have a good effect of cooling down the temperature. There is a big difference of surface temperature among different land use/cover types. It was found that correlations between SAVI, MNDWI, NDBal and temperature are negative, but positive correlation is shown between NDBI and temperature.