阜新市北部地区沙化信息提取及监测分析研究
|
摘要
为了获取阜新市北部地区10年来沙化变化情况,文中基于Landsat遥感影像利用决策树模型提取了阜新市北部沙化地区2003年、2008年和2013年沙化信息,并运用转移矩阵模型,从沙化等级变化特征对研究区域的沙化情况进行定性、定量分析。结果表明:从2003年至2013年阜新市北部沙化地区重度沙化面积大幅度减少;中度沙化面积有所减少,轻度沙化面积大幅度增加;有少部分土地在中度沙化和轻度沙化之间转换。以10年作为一个时间序列,5年作为时间节点,利用基础统计学理论和随机过程理论马尔科夫链模型对研究区的沙化情况进行动态监测分析。
Due to the huge influence of south-moving of the Korqin desert in the north of Fuxin,the government have taken corresponding measures to prevent enlarging desertification. To get the desertification variation information of the study area for ten years,based on the Landsat remote sensing images,by using decision tree model,desertification information of the study areas in 2003,2008 and 2013 was extracted by using the transfer matrix model. The levels of degradation and desertification characteristics in arid conditions were analyzed qualitatively and quantitatively. The results showed that the severe desertification area in the north area reduced greatly from 2003 to 2013. Moderate desertification area reduced,the desertification area of substantial increased.There was few land conversion occurred between the moderate desertification and desertification.
Due to the huge influence of south-moving of the Korqin desert in the north of Fuxin,the government have taken corresponding measures to prevent enlarging desertification. To get the desertification variation information of the study area for ten years,based on the Landsat remote sensing images,by using decision tree model,desertification information of the study areas in 2003,2008 and 2013 was extracted by using the transfer matrix model. The levels of degradation and desertification characteristics in arid conditions were analyzed qualitatively and quantitatively. The results showed that the severe desertification area in the north area reduced greatly from 2003 to 2013. Moderate desertification area reduced,the desertification area of substantial increased.There was few land conversion occurred between the moderate desertification and desertification.
引文
[1]朱震达.中国的沙漠化及其治理[M].北京:科学出版社,1989:7-10.
[2]毕相生,许广久,徐洪山.关于沙漠化的概念及其类型划分指标的探讨[J].鹤城环境,1990(1):5-10.
[3]韩兰英,万信,方峰,张正偲.甘肃河西地区沙漠化遥感监测评估[J].干旱区地理,2013,36(1):131-138.
[4]崔利.基于3S技术的土地荒漠化监测研究[D].辽宁阜新:辽宁工程技术大学,2007:14-40.
[5]高会军,邱少鹏.基于3S技术的沙质荒漠化动态监测[J].陕西环境,2001,8(4):39-42.
[6]李福兴.全球荒漠化现状和我国荒漠化研究的动向[J].水土保持研究,1996,3(4):103-110.
[7]戴琳娜.基于3S技术的辽西北地区荒漠化动态监测及驱动力分析[D].吉林长春:吉林大学,2006:24-42.
[8]贾树海,韩志根,吕默楠,王晶,谢东祺.基于决策树的辽宁省北部沙漠化信息提取研究[J].生态环境学报,2011,20(1):13-18.
[9]李金亚.科尔沁沙地草原沙化时空变化特征遥感监测及驱动力分析[D].北京:中国农业科学院,2014:34-54.
[10]李继红.科尔沁奈曼土地荒漠化程度遥感评价研究[D].黑龙江哈尔滨:东北林业大学,2007:66-77.
[11]朱金峰.巴丹吉林沙漠边缘地区近20年土地沙漠化遥感监测研究[D].甘肃:兰州大学,2011:19-20.
[12]王晓慧.沙化土地遥感监测机理和方法研究[D].北京:中国林业科学研究院,2007:69-86.
[13]王建,董光荣,李文君,等.用遥感信息决策树方法分层提取荒漠化土地类型的研究探讨[J].中国沙漠,2000,20(3):243-247.
[14]邝生爱,田淑芳,程博.农牧交错带土地沙化遥感监测[J].国土资源遥感,2002(2):10-14.
[15]乔平林,张继贤,林宗坚.基于神经网络的土地荒漠化信息提取方法研究[J].测绘学报,2004,33(1):58-62.
[16]第四次全国荒漠化和沙化监测技术规定[S].090415,北京:2009.
[17]辽宁省林业厅.辽宁省第五次荒漠化和沙化监测实施细则[S].沈阳:2014.
[2]毕相生,许广久,徐洪山.关于沙漠化的概念及其类型划分指标的探讨[J].鹤城环境,1990(1):5-10.
[3]韩兰英,万信,方峰,张正偲.甘肃河西地区沙漠化遥感监测评估[J].干旱区地理,2013,36(1):131-138.
[4]崔利.基于3S技术的土地荒漠化监测研究[D].辽宁阜新:辽宁工程技术大学,2007:14-40.
[5]高会军,邱少鹏.基于3S技术的沙质荒漠化动态监测[J].陕西环境,2001,8(4):39-42.
[6]李福兴.全球荒漠化现状和我国荒漠化研究的动向[J].水土保持研究,1996,3(4):103-110.
[7]戴琳娜.基于3S技术的辽西北地区荒漠化动态监测及驱动力分析[D].吉林长春:吉林大学,2006:24-42.
[8]贾树海,韩志根,吕默楠,王晶,谢东祺.基于决策树的辽宁省北部沙漠化信息提取研究[J].生态环境学报,2011,20(1):13-18.
[9]李金亚.科尔沁沙地草原沙化时空变化特征遥感监测及驱动力分析[D].北京:中国农业科学院,2014:34-54.
[10]李继红.科尔沁奈曼土地荒漠化程度遥感评价研究[D].黑龙江哈尔滨:东北林业大学,2007:66-77.
[11]朱金峰.巴丹吉林沙漠边缘地区近20年土地沙漠化遥感监测研究[D].甘肃:兰州大学,2011:19-20.
[12]王晓慧.沙化土地遥感监测机理和方法研究[D].北京:中国林业科学研究院,2007:69-86.
[13]王建,董光荣,李文君,等.用遥感信息决策树方法分层提取荒漠化土地类型的研究探讨[J].中国沙漠,2000,20(3):243-247.
[14]邝生爱,田淑芳,程博.农牧交错带土地沙化遥感监测[J].国土资源遥感,2002(2):10-14.
[15]乔平林,张继贤,林宗坚.基于神经网络的土地荒漠化信息提取方法研究[J].测绘学报,2004,33(1):58-62.
[16]第四次全国荒漠化和沙化监测技术规定[S].090415,北京:2009.
[17]辽宁省林业厅.辽宁省第五次荒漠化和沙化监测实施细则[S].沈阳:2014.