Vegetation classification system using remotely sensed
data for Viet Nam's condition
Phan Phu Bong
Centre of Geography and Natural Resources, NCSR
Nghia Do, Tu Liem, Ha Noi- Viet Nam.
Abstract
Viet Nam is situated in the tropical monsoon zone of south Asia . The physiographic conditions are convenient for the plants development. On the other hand, Viet name is a place of crossing region of many migratory lines of plant from Indonesia, Malaysia, Myanmar and China. That's reason, the flora and vegetation of viet name is abundant and varied forms. At the present time, natural vegetation of Vietnam have been destroyed and have changed into a complex mosaic of secondary plant replacement communities. In this report, a vegetation classification system using Remotely Sensed data has been proposed for Viet name conditions. Based on the Remotely Sensed data has been proposed for Viet names conditions. Based on the Remotely Sensed data and ground vegetation of Viet name were classified as follow, was presented:
- Closed evergreen forest
- Deciduous forest
- semi-deciduous forest
- Mangrove forest
- Woodland
- Scrub
- Herbaceous Vegetation
- Vegetation on coastal sand dunes
- Cultivated vegetation, forest plantations
- and others
Also author will introduce a fragment of vegetation map of Viet name applying this classification system.
Introduction
Alarming data about the effect of human impact on natural vegetation, including the degraded and changed seriously tropical forest areas, therefore, make vegetation inventory and monitoring and more and more important. On the other hand, it is very necessary to inventory and to assess of natural conditions and natural resources for purpose proposing a rational utilization of natural resources. Regional planners are sometimes required to give quick or immediate answers to solve problems of planning and rational use of natural resources. They, therefore, need to know what vegetation types are present in an area. First of all, it is the most important to have a vegetation map of the area. Remotely sensed data are a major element in vegetation classification and mapping. It has been observed that the major physiognomic types, such as forest, woodland, scrub, grassland, mixed vegetation, could be distinguished using remote sensing data, which readily record the spectral characteristics of such vegetation cover.
In this report, based on the remotely sensed data which have been used in Viet nam, a classification system of vegetation using remotely sensed data has been proposed for Viet nam's condition and a primary result applying this one to compile vegetation map of VN.
