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Forestry
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Vegetation classification system using remotely sensed
data for Viet Nam's condition
- Classification system
Based on the remotely sensed data which have been used in Vietnam including : LANDSAT MSS, SPOT image, and SOYUZ photos, a classification system of vegetation using remotely sensed data has been proposed for Viet nam's conditions . The units of vegetation are mainly delineated through visual interpretation of remote sensing data and some supplementary data from field surveys:
Classification system of Vegetation :
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Forest: | -Closed Evergreen Forest.
-Deciduous Forest.
-Semi-deciduous forest.
-Closed Evergreen Forest on limestone
-bamboo mixed with evergreen Forest.
-mangrove Forest.
-Melaleuca Forest.
-Pine Forest |
| Woodland(Clear Forest): |
-Evergreen Wood land
-Deciduous Woodland |
| Scrubs: | -Evergreen Scrubs
-Deciduous Scrubs |
| Herbaceous Vegetation: |
-Herbaceous Vegetation on coastal sand dunes
-Herbaceous and Scrubs Vegetation |
| Cultivated Vegetation: |
-Plantations Forest
-other Plants Cultivated Vegetation |
Because, the landform of Viet nam is complex and strongly divided, vegetation changed as with altitude zones and latitude zones. Applying this classification system, therefore, interpreters must be payed attention to features of landform and characteristics of climate in the humid tropical moonson region.
Fig.1: Shows Vegetation Map of coastal zones of lower basin Mekong delta (Vietnam) compiling by using this classification system.
Conclusion
This is the first classification system of vegetation using remotely sensed data for Viet nam's conditions. This classifications system is set up based on the remotely sensed data which have been used in Vietnam. The units of vegetation in classification system are delineated based on the different intensities of colour tone of the image through visual interpretation. When applying this classification, interpreters must be payed attention to features of land form and characteristics of climate of Viet nam and results of the field check. The limitations found in this system were that the units of vegetation were delineated only through visual interpretation and that processing was done without digital analysis.
References:
- Howard, J.A and J.Schade. Towards the global remote sensing of vegetation change -hierarchical classification(Draft paper, FAO,Rome, Italy 1981.)
- J.A.Howard, Z.D.kalensky and F.Blasco. Concepts for global mapping of woody vegetation using remote sensing data. FAO, Rome , Italy , 1985.
- UNESCO International Classification and Mapping of vegetation UNESCO, Paris,France,1973.
- P.Legris, F.Blasco and K.D.Singh. Classfication and vegetation mapp Mapping in Asia and Pacific Region . FAO Rome Italy 1985.
- RRSP/ ESCAP and SEAMEO-BIOTROP. Remote Sensing in vegetation studies , (Report of the ESCAP-BIOTROP). Remote sensing techniques applied to vegetation studies) Bogor, Indonesia, 1985.
- Thai Van Trung . Tham Thuc Vat rung Viet nam,Hanoi, Viet nam, 1963 , 1978.
- A. Singh. A Forest cover classification system using remotely sensed data. Asian Pacific Remote sensing Journal , Vol,1,N02 Jan 1989 Bangkok Thailand
- Kuchler, A.W. VEGETATION MAPPING, The Ronald Press Company , New york, 1967.
- Raunkiaer, C.The life forms of plants and statistical plant geography . Clarendon Press , Oxford,U.K.1934.
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