CAJ | 학술논문

不透水面作为城市生态环境的一个重要指标，被广泛应用于城市扩张监测、热岛效应分析及人类活动影响等方面的研究中。线性光谱混合模型构造简单、物理含义明确，是估算不透水面的主要方法。但是全约束的线性光谱混合模型容易在不透水面覆盖较低的地区(0~20%)出现高估，而在不透水面覆盖较高的地区(80%~100%)出现低估。因此，以黑龙江省富锦市为实验区，利用Landsat5 TM图像，讨论了线性光谱混合模型在不同端元数目和约束条件下对不透水面的估算精度，发现三端元(高反射率地物、植被及土壤)半约束条件的线性光谱混合模型估算结果最优，其均方根误差为16.71%，并结合地表温度和植被覆盖度辅助分析，去除了水田对不透水面估算的影响，提高了不透水面的估算精度。
불투수면작위성시생태배경적일개중요지표，피엄범응용우성시확장감측、열도효응분석급인류활동영향등방면적연구중。선성광보혼합모형구조간단、물리함의명학，시고산불투수면적주요방법。단시전약속적선성광보혼합모형용역재불투수면복개교저적지구(0~20%)출현고고，이재불투수면복개교고적지구(80%~100%)출현저고。인차，이흑룡강성부금시위실험구，이용Landsat5 TM도상，토론료선성광보혼합모형재불동단원수목화약속조건하대불투수면적고산정도，발현삼단원(고반사솔지물、식피급토양)반약속조건적선성광보혼합모형고산결과최우，기균방근오차위16.71%，병결합지표온도화식피복개도보조분석，거제료수전대불투수면고산적영향，제고료불투수면적고산정도。
Impervious surface plays an important role in monitoring urban sprawl and understanding human activities. Linear spectral mixture analysis ( LSMA ) is commonly used to estimate impervious surface due to its simple structure and clear physical meaning. However, previous researches found that LSMA seemed to overestimate slightly impervious surface fraction in less developed areas ( 0 -20%) but underestimate it in the central business district ( CBD) ( over 80%) . To tackle this problem, the authors developed impervious surface of Fujin Town in Heilongjiang Province from the Landsat Thematic Mapper ( TM) image by using LSMA model under different constrained conditions and end-members. The results indicated that three end-members ( high albedo, soil, and vegetation) semi-constrained LSMA provided a fine performance with a RMSE of 16. 71%. Moreover, the paddy field in impervious surface fraction image was removed by using land surface temperature and vegetation coverage data.