摘要
以古尔邦通古特沙漠南缘为研究区,对CEBERS数据采用像元二分法、回归模型法和改进像元二分法进行植被覆盖度估测;以QuickBird数据像元二分植被覆盖度估测结果为真值,对CEBERS植被覆盖度估测结果进行精度检验。结果表明:3种方法估测精度分别达97.55%,97.35%,98.88%,改进的像元二分法精度最高,且在实际植被覆盖估测中像元二分法性价比最好。
Taking the southern fringe of Gurbantunggut Desert as research area, the vegetation coverage of CEBERS data were determined by three models：dimidiate pixel model,improved dimidiate pixel model, regression model,taking the estimating results of QuickBird data dimidiate pixel model as true value. The result of accuracy determination of CEBERS data vegetation coverage was conducted,it showed that：the estimation accuracy of these three methods are separately 97.55% ,97.35% ,98.88%. Although the accuracy of improved dimidiate pixel model is the highest, while the cost-effective of dimidiate pixel model is the best in the estimating of vegetation coverage.
出处
《新疆农业大学学报》
CAS
北大核心
2009年第5期30-35,共6页
Journal of Xinjiang Agricultural University
基金
新疆维吾尔自治区发展与改革委员会项目(0742141)
新疆维吾尔自治区草地资源与生态实验室项目
