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浙江天童国家森林公园景观的遥感分类与制图
引用本文:李俊祥,宋永昌.浙江天童国家森林公园景观的遥感分类与制图[J].生态学杂志,2003,22(4):102-106.
作者姓名:李俊祥  宋永昌
作者单位:华东师范大学环境科学系,上海,200062
基金项目:国家自然科学基金“中国东部,日本中西部常绿阔叶林比较研究”基金资助 ( 3 9770 12 9),上海市生态学重点学科资助
摘    要:利用Landsat-TM多时相数据,采用非监督分类方法,对浙江省天童国家森林公园的景观进行分类。并利用野外实地调查的数据进行检验和校正。结果表明,天童国家森林公园范围内的景观可分为常绿阔叶林、成熟常绿阔叶林、次生常绿-落叶阔叶林、山脊常绿-落叶阔叶林、谷地常绿-落叶阔叶林、林缘灌丛、次生灌丛、针叶林(杉木)、竹林、生长作物的农田/菜园地、旱地、裸土、居住区、水体14个类型,这14个景观类型,根据植物群落学分类的群落复合体(cammunity complex)和群落复合体的地-综合群落学(Geo-synsociology)的方法,归并为山坡常绿阔叶林、常绿落叶阔叶混交林、人工林(针叶林、竹林)、农田、水体、居住区6个景观单元。在景观分类和合并的基础上,对天童国家森林公园的景观进行了制图。

关 键 词:景观分类  景观制图  遥感
文章编号:1000-4890(2003)04-0102-05
修稿时间:2002年4月28日

Landscape classification and mapping with remotely sensed data for Tiantong National Forest Park in Zhejiang Province
LI Junxiang,SONG Yongchang.Landscape classification and mapping with remotely sensed data for Tiantong National Forest Park in Zhejiang Province[J].Chinese Journal of Ecology,2003,22(4):102-106.
Authors:LI Junxiang  SONG Yongchang
Abstract:In this study, unsupervised classification method was employed with multi temporal remotely sensed data of Landsat TM. The 14 landcover types were identified for Tiantong National Forest Park, supported by ground truth data. The 14 landcover types are: evergreen broadleaved forest, mature evergreen broadleaved forest, secondary evergreen deciduous forest, ridge evergreen deciduous forest, ravine evergreen deciduous mixed forest, forest fringe shrub, secondary shrub, coniferous forest ( Cunninghamia lanceolata ), bamboo, farmland/garden with crops, dry farmland, bare soil, residential area, and water body, respectively. These 14 landcover types can be integrated into 6 landscape units according to the taxonomy of community complex and Geo synsociology in vegetation community: mountain slope evergreen broadleaved forest landscape, evergreen deciduous mixed forest, artificial forest (including bamboo forest and coniferous forest), farmland landscape, water landscape and residential landscape. Based upon this classification system, the landscape of Tiantong National Forest Park was mapped.
Keywords:landscape classification  landscape mapping  remote sensing  
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