GEE与ENVI哪个好用?

这个事怎么说呢,大人,时代变了,大清亡了

 

下面是具体分析

 

 


最开始接触到遥感的时候是梅安新老师的《遥感导论》这本书,从这本书里了解到遥感就是遥远的感知,是利用探测仪器,不与探测目标相接触,从远处把目标的电磁特性记录下来,通过分析,揭示出物体的特征性质及其变化的综合性探测技术。

 

使用遥感影像我们要根据我们的研究区选择合适的数据源,常用的有MODIS、Landsat等等;确定好数据源后要跟影像的供应商联系,供应商会根据需要提供给你原始的影像。原始的影像是经过简单处理的原始数据,没有经过几何校正、辐射校正等处理。

 

拿到原始数据后我们就开始进行辐射校正,将传感器采集的无量纲的DN值转换为反射率或者辐亮度;然后对影像进行大气校正获得地表反射率;在对影像进行几何校正和正射校正消除影像畸变和获得正射影像;最后就可以对影像进行进一步的处理,包括目视解译、分类、定量分析等等。这些过程都是通过ENVI实现的。还记得我特别钟情于ENVI Classic,因为不知道ENVI的各个命令存放的位置。。。。

 

2008年,Landsat数据可以免费获取,数据下载量提高了100倍,推动了遥感数据新范式的产生,并引发了众多地球科学领域的科学创新。随后,其他免费数据源不断增加,时间分辨率、空间分辨率、光谱分辨率都得到进一步提升。2014年,欧空局哥白尼计划一号星Sentinel-1正式开始提供数据下载服务。。。。。

 

计算机的处理能力开始真正制约遥感的发展,我们开始购买游戏本、高端显卡、显卡并联以追求更高的处理性能。。。

 

忽然一声霹雳,时代就变了。。。

 

还记得学习ENVI的时候邓书斌老师的声音犹在耳畔,可GEE的发布简直就是降维打击,直接改变了遥感数据处理的传统模式,遥感云处理变为了可能。。。

 

2011年美国地球物理联合会秋季会议上,Moore和Hansen介绍了一种利用全球尺度的观测数据,并可进行云端分析的全新云计算平台——谷歌地球引擎(GEE),该平台集成了Landsat5/7、MODIS的历史数据以及云端算法,将国际合作、数据密集分析、巨大的计算资源和高端可视化科学范式落实到实地。

 

这一模式直接改变了传统遥感先下载后处理的研究方式,将更多的精力用于后端的科学分析

 

谷歌的服务器+NASA的数据量,简直就是三体人对地球人的降维打击

 

2018年,谷歌地球引擎正式开始开放免费试用,随后涌现出了大量的以地球为尺度的长时间序列的研究成果,是以前根本不敢想象的事

 

 

 

本文授权转载于知乎用户“遥感巫师”,感谢其辛勤创作!原文链接:https://www.zhihu.com/question/417888052/answer/1904002964。

 

 

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吾爱地理 » GEE与ENVI哪个好用?
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