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Danh sách kết quả tìm kiếm tài liệu từ 1 đến 2 trong 2 tài liệu phù hợp.
Tài liệu phù hợp với tiêu chí tìm kiếm:
  • CSDL Liên hiệp Thư viện (VLC Reference Material)


  • Tác giả : Tran Quoc, Binh;  Đồng tác giả: 2007 (The Voi Mep massif of the Truong Son range, having the highest peak in the Quang Tri area (1739m), is composed of granite and granodiorite intrusive rocks in Ben Giang-Que Son complex. This massif is fairly isometric with characteristic landforms comprising: remnants of old pediment surfaces, mountain slopes and valleys with steep profiles. The massif area has a regular altitudinal differentiation manifested in the formation of two climatic belts: tropical humid climatic belt, subtropical humid climatic belt; two altitudinal soil belts: red yellow soil belt and red yellow humus soil belt; four altitudinal vegetation cover types: evergreen broadleaf closed forest, mixed broadleaf/needleleaf forest, needleleaf forest and association of Arundinaria sat. The combination and interaction of natural components led to the formation of two altitudinal landscape belts: mountain foot tropical landscape belt and medium montane subtropical landscape belt)

  • CSDL Liên hiệp Thư viện (VLC Reference Material)


  • Tác giả : Tran Quoc, Binh;  Đồng tác giả: 2007 (Nowadays, digital terrain models (DTM) are an important source of spatial data for various applications in many scientific disciplines. Therefore, special attention is given to their main characteristic - accuracy. At it is well known, the source data for DTM creation contributes a large amount of errors, including gross errors, to the final product. At present, the most effective method for detecting gross errors in DTM source data is to make a statistical analysis of surface height variation in the area around an interested location. In this paper, the method has been tested in two DTM projects with various parameters such as interpolation technique, size of neighboring area, thresholds,... Based on the test results, the authors have made conclusions about the reliability and effectiveness of the method for detecting gross errors in DTM source data.)

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