文献类型：期刊文献

中文题名：基于遥感影像识别的戈壁分类体系研究

英文题名：Gobi Classification System Based on Remote Sensing Image Recognition

作者：冯益明[1] 吴波[1] 周娜[1] 车腾腾[1] 王锋[1] 丛日春[1] 曹燕丽[1] 卢琦[1]

第一作者：冯益明

机构：[1]中国林业科学研究院荒漠化研究所

年份：2013

卷号：33

期号：3

起止页码：635-641

中文期刊名：中国沙漠

外文期刊名：Journal of Desert Research

收录：CSTPCD;;北大核心:【北大核心2011】；CSCD:【CSCD2013_2014】；

基金：行业(林业)公益性科研专项项目(201004059);中国林业科学研究院重大项目(CAFYBB2011002);国家林业局"948"课题(2011-4-78)共同资助

语种：中文

中文关键词：戈壁;定义;分类体系;遥感

外文关键词：gobi; definition ; classification system; remote sensing

分类号：P931.3

摘要：戈壁是中国西北干旱地区的一种主要地表景观类型。由于戈壁所处地带自然条件恶劣,人烟稀少,不便于实地调查研究的开展,所以目前关于戈壁的研究资料非常少,就现有为数不多的研究来看,现有戈壁类型划分存在交叉问题,难以将戈壁分清,且分类没有从全局考虑。为了促进戈壁研究的规范化,本文首先对戈壁进行明确定义,然后从戈壁分布的气候区、动力条件、地貌特征、地表物质组成、植被、水文与土壤等7个方面,对戈壁内涵进行界定。同时,本文在参照现有戈壁分类基础上,从戈壁的形成原因、地表物质组成与植被盖度角度,分三级建立了一套既考虑戈壁区生态保护与利用,又易于遥感影像识别的戈壁分类体系,对每一级每一类戈壁在影像上表现的特征以及通过遥感影像如何提取进行了较为详细的阐述。
Gobi is one of the main landscape types in the arid regions in the northwest parts of China. At present, it is difficult to do fieldwork due to the bad natural condition and sparse population in gobi region, which led to the scarcity in research documents on the gobi. According to current few research documents on the gobi, cross classification existed in the gobi classification systems. So, it was difficult to classify the gobi. Moreover, the current gobi classification systems did not take the whole situation into account. In order to promote the standardization of gobi research, the concept of gobi was definitely presented, then the connotation of gobi was described and explained from the climate, driving force, topography, land surface material composition, vegetation, water and soil. Based on the gobi classification indicators, a set of gobi classification system was established in this paper from the angles of the reason of gobi formation, the composition of land surface materials and the vegetation coverage, which fully considered the aim of ecological protection and utilization in gobi regions and was easy to be used for conducting the remote sensing image recognition. In addition, the expression characteristics of each type of gobi at each level in the remote sensing image and how to recognize the gobi type by remote sensing image, were described in this paper.