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机构地区:[1]中国国土资源航空物探遥感中心,北京100083 [2]中国地质大学(北京),北京100083
出 处:《国土资源遥感》2010年第B11期185-190,共6页Remote Sensing for Land & Resources
基 金:中国地质调查局地质调查项目"中国东部重要经济区带基础地质环境遥感调查与监测"(编号:1212010510706)
摘 要:利用CBERS、ETM、TM及MSS遥感数据,结合非遥感资料,提取了江苏盐城湿地资源信息,并采用景观类型转移矩阵、动态变化率、景观破碎化分析等方法和马尔可夫预测模型对江苏盐城湿地景观进行了分析。调查表明,近30 a研究区域总湿地面积变化不大,但天然湿地在减少,人工湿地在逐年增加,湿地人工化程度不断加重;整个研究区域生态环境遭到破坏,目前仍有待改善;造成研究区域景观格局变化的主要因素是人为因素。Wetland has various ecosystems functions as well as economic and social values and hence is regarded as a mature resource treasury and living environment for people' s existence and development. In recent years, due to economic development and population growth, the human interference and destruction of the wetlands have become increasingly serious, and the prevention of the degradation of wetlands has become a very important and urgent task. In this paper, the wetland resource in Yancheng was extracted by using multi - source remote sensing data of CBERS, ETM, TM, MSS, in combination with other non -remote sensing data, such as the terrain map. According to the information retrieval results, the authors analyzed and forecast the change of wetland landscape by using the Markovian models, the Convertion Marix and the Dynamics Rate. Based on data available, the authors hold that such changes in the landscape pattern is attributed to some natural changes and human activities, such as geotectonic movement, climate, economic development and population growth, with the human activities being the main factor responsible for landscape pattern variation.
分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]
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