摘要
本文详细阐述了IRS-P5与RapidEye数据的处理方法,以及利用遥感数据进行森林资源调查的流程。实践表明,IRS-P5全色波段数据分辨率高、纹理特征明显,RapidEye多光谱数据的色彩信息丰富,两类数据的融合,可以充分发挥各自的优势,有利于提高森林资源调查的精度和效率。
Data processing by IRS-P5 and RapidEye as well as the remote sense data in forest resources inventory were described.The result showed that IRS-P5 is characterized by its high resolution and clear texture while RapidEye is good for its diverse spectrums.Merge of the two types of data will help increase the accuracy and effiency of forest resources inventory.
出处
《陕西林业科技》
2011年第4期15-16,21,共3页
Shaanxi Forest Science and Technology
