CAJ | 학술논문

流域边界提取是森林景观研究中的重要步骤.本研究利用数字高程模型(DEM)信息在ArcInfo8.1中提取出位于中国辽东山区的浑河上游流域边界,然后叠加经过主成分变换的相应地区遥感ETM影像,借助遥感影像上反映出来的丰富的地貌信息,修正流域的边界.在原边界和修正后的流域边界上分别叠加县界图和水网图,目视检查两次结果的效果.对两次结果叠加县界图时,流域边界和县界图匹配效果很好,说明通过计算机程序提取流域边界有着较高的精度.继续叠加水网图后,原边界与水网图匹配时有三处不符,而修正过的流域边界与水网图符合得很好.对比分析论证了通过计算机程序提取流域边界精度优于手工数字化,只是在局部会产生空间位置上的错误.这主要是因为复杂地形的存在尤其是经过人类活动改变过的地表的存在,可以辨认和修正,因为的ETM影像的空间分辨率小于本研究中所用的DEM数据的空间分辨率.本研究的结果证明,应用遥感信息改善从DEM中提取的流域边界,是一种行之有效的方法.图3参15.
류역변계제취시삼림경관연구중적중요보취.본연구이용수자고정모형(DEM)신식재ArcInfo8.1중제취출위우중국료동산구적혼하상유류역변계,연후첩가경과주성분변환적상응지구요감ETM영상,차조요감영상상반영출래적봉부적지모신식,수정류역적변계.재원변계화수정후적류역변계상분별첩가현계도화수망도,목시검사량차결과적효과.대량차결과첩가현계도시,류역변계화현계도필배효과흔호,설명통과계산궤정서제취류역변계유착교고적정도.계속첩가수망도후,원변계여수망도필배시유삼처불부,이수정과적류역변계여수망도부합득흔호.대비분석론증료통과계산궤정서제취류역변계정도우우수공수자화,지시재국부회산생공간위치상적착오.저주요시인위복잡지형적존재우기시경과인류활동개변과적지표적존재,가이변인화수정,인위적ETM영상적공간분변솔소우본연구중소용적DEM수거적공간분변솔.본연구적결과증명,응용요감신식개선종DEM중제취적류역변계,시일충행지유효적방법.도3삼15.
Boundary extraction of watershed is an important step in forest landscape research. The boundary of the upriver watershed of the Hunhe River in the sub-alpine Qingyuan County of eastern Liaoning Province, China was extracted by digital elevation modeling (DEM) data in ArcInfo8.1. Remote sensing image of the corresponding region was applied to help modify its copy according to Enhanced Thematic Mapper (ETM) image's profuse geomorphological structure information. Both the DEM-dependent boundary and modified copy were overlapped with county map and drainage network map to visually check the effects of result. Overlap of county map suggested a nice extraction of the boundary line since the two layers matched precisely, which indicated the DEM-dependent boundary by program was effective and precise. Further upload of drainage network showed discrepancies between the boundary and the drainage network. Altogether, there were three sections of the extraction result that needed to correct. Compared with this extraction boundary, the modified boundary had a better match to the drainage network as well as to the county map. Comprehensive analysis demonstrated that the program extraction has generally fine precision in position and excels the digitized result by hand. The errors of the DEM-dependant extraction are due to the fact that it is difficult for program to recognize sections of complex landform especially altered by human activities, but these errors are discernable and adjustable because the spatial resolution of ETM image is less than that of DEM. This study result proved that application of remote sensing information could help obtain better result when DEM method is used in extraction of watershed boundary.