Landscape classification and mapping with remotely sensed data for Tiantong National Forest Park in Zhejiang Province

Abstract

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.

Key words: Endophytic fungi, Bacteriostasis, Correlation, Euphorbia pekinensis, Mutualism

CLC Number:

S759.91

LI Junxiang, SONG Yongchang. Landscape classification and mapping with remotely sensed data for Tiantong National Forest Park in Zhejiang Province[J]. cje, 2003, (4): 102-106.

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