The Spatial Interpolation Method Research of Vegetation Characteristics Model Establishment Based on DTM - A Case Study of Chongzhou Forest Farm

Abstract:

The Vegetation Characteristics Model is based on the principle of DTM. The property values is the data of forest coverage of every small spot of forestry, By spatial interpolation, we can access continuous, accurate characteristic values of the data model which covers the entire forest farm forestry. This article describes three interpolation methods in detail. They are used to build Vegetation Characteristics Model, are compared each other. we can get the final conclusion: Inverse distance weighting method produces samples of the surface does not exceed the maximum and minimum data; if less sample points, using the Kriging interpolation method, we need to add some sample points in those changing areas; Spline, the main problem is when the area is lack of data, then there will be “steep slopes”, it is often referred to as "overshoot" ,this model does not work effectively. The Vegetation Characteristics Model can simulate the surface of the real situation in the forest region. This model can support spatial data for Forestry production, management and spatial analysis.

• Periodical: Advanced Materials Research (Volumes 403-408)
• Pages: 2378-2382
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.403-408.2378
• Online since: November 2011
• Authors: Dong Li Chen, Lei Huang
• Keywords: Chongzhou Forest, DTM, Geospatial Information System (GIS), Spatial Interpolation, Vegetation Characteristics Model

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