适用于3S技术的草地综合顺序分类法水热指标改进

草地类型理论和类型划分是草地科学研究和经营管理的基础。草地综合顺序分类法是有较高科学性的分类体系,但在实际应用中,尤其是引入3S技术时出现了水热条件的以点代面,以相邻生境代实际生境的问题,影响了草地综合顺序分类法的准确性和实际应用。通过对其问题的梳理,提出利用定量遥感反演地表参数以解决上述问题,即用面状的土壤水热指标数据替换点状的站点大气水热指标,旨在为我国草地的精确分类提供新的思路和创新方法。

Suggestions for Improvement of Moisture and Temperature Index in Comprehensive and Sequential Classification System of Grasslands Suitable for 3S Technology

Grassland classification is a fundamental need of grassland science.Meanwhile developing a comprehensive grassland classification system is also a challenge for grassland science because of the multivariable and multi-functional feature of grassland system.Comprehensive and Sequential Classification System of Grasslands(CSCS),one of well known grassland classification systems in China,was advanced in quantification indicators.However,the result of basic level classification often does not match well with the actual grassland type.After analysis of this problem,that there were at least two points needed to improve at the basic classification level of CSCS was pointed out.The first one,grasslands were grouped into classes according to indexes of precipitation and temperature,which characterize the near-surface atmosphere hydrothermal conditions instead of the actual habitat of low grass plant.The second one,data of precipitation and temperature coming from ground observation of weather station can only characterize conditions within a small area,but always be extrapolated to be on behalf of feature of the region.The suggestions that planar data of land surface temperature and soil moisture inverted by quantitative remote sensing should be introduced to the basic classification level of CSCS to replace parameters of precipitation and atmosphere temperature from ground observation were proposed.