遥感数据处理系列

一些项目及科研中遇到的小需求，一方面记录自己的学习历程，另一方面帮助大家学习。

ArcPy批量计算栅格数据平均值
GLDAS数据下载及处理（NC转TIF）
ArcGIS批量裁剪栅格数据
ArcPy批量栅格重采样
ArcPy批量裁剪栅格数据

IDL多进程批处理遥感数据
ArcPy批量拼接栅格数据

文章目录

遥感数据处理系列
前言
一、栅格数据平均值
- 1. 原理简介
- 2. 代码
总结
- 后记

前言

在使用ArcGIS的开发包函数进行栅格数据平均值计算时发现，在结果影像出现了好多的异常值？经过查看发现是因为ArcGIS算法的问题，所以，用IDL写了下自己的栅格平均值计算逻辑。

一、栅格数据平均值

1. 原理简介

使用ArcGIS进行栅格数据平均值计算时，出现异常值的原因如下图所示：

那么问题来了：如果每个像元都有一个NoData出现过，那岂不是OutRas里面全部都是NoData了？
我脑海里的栅格数据平均值：对于N景影像，在（a，b）坐标处有 t 景影像存在有效像元，那么其平均值应该是多景影像在（a，b）坐标处DN值的累加除以 t

2. 代码

文件组织架构：

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.statediagram-cluster.statediagram-cluster-alt .inner{fill:#e0e0e0}#mermaid-svg-c2MIXedJsKkk7D5t .statediagram-cluster .inner{rx:0;ry:0}#mermaid-svg-c2MIXedJsKkk7D5t .statediagram-state rect.basic{rx:5px;ry:5px}#mermaid-svg-c2MIXedJsKkk7D5t .statediagram-state rect.divider{stroke-dasharray:10,10;fill:#efefef}#mermaid-svg-c2MIXedJsKkk7D5t .note-edge{stroke-dasharray:5}#mermaid-svg-c2MIXedJsKkk7D5t .statediagram-note rect{fill:#fff5ad;stroke:#aa3;stroke-width:1px;rx:0;ry:0}:root{--mermaid-font-family: '"trebuchet ms", verdana, arial';--mermaid-font-family: "Comic Sans MS", "Comic Sans", cursive}#mermaid-svg-c2MIXedJsKkk7D5t .error-icon{fill:#522}#mermaid-svg-c2MIXedJsKkk7D5t .error-text{fill:#522;stroke:#522}#mermaid-svg-c2MIXedJsKkk7D5t .edge-thickness-normal{stroke-width:2px}#mermaid-svg-c2MIXedJsKkk7D5t .edge-thickness-thick{stroke-width:3.5px}#mermaid-svg-c2MIXedJsKkk7D5t .edge-pattern-solid{stroke-dasharray:0}#mermaid-svg-c2MIXedJsKkk7D5t .edge-pattern-dashed{stroke-dasharray:3}#mermaid-svg-c2MIXedJsKkk7D5t .edge-pattern-dotted{stroke-dasharray:2}#mermaid-svg-c2MIXedJsKkk7D5t .marker{fill:#333}#mermaid-svg-c2MIXedJsKkk7D5t .marker.cross{stroke:#333}:root { --mermaid-font-family: "trebuchet ms", verdana, arial;}#mermaid-svg-c2MIXedJsKkk7D5t {color: rgba(0, 0, 0, 0.75);font: ;}inwsMYD09.2011.001.tifMYD09.2011.002.tif...outs输出到

输入：
一个含有若干栅格数据的文件夹 inws（本例为“.tif”格式）

代码实例：

pro Average_Batch;计算输入文件夹内的 所有栅格数据的 平均值;算整个文件夹的compile_opt strictarrCOMPILE_OPT idl2envi, /restore_base_save_filesenvi_batch_init, log_file='batch.txt',/NO_STATUS_WINDOWdir0='F:\LE-daily-LMB\2017'   ; 输入路径out_dir='F:\LMB\LE-year'  ; 输出路径files=file_search(dir0,'*.tif'); 读取文件信息。先获取个行列数ENVI_OPEN_FILE, files[0], r_fid=fid,  /no_realizeENVI_FILE_QUERY, fid,  nl=nl, ns=ns,dims=dims,nb=nbmapinfo=envi_get_map_info(fid=fid)file=ENVI_GET_DATA(fid=fid,dims=dims,pos=0)low_row=N_elements(file[0,*]);获取行数low_col=N_elements(file[*,0]);获取列数Sum = make_array(low_col,low_row,value=0.0);存有效像元的累加值count = make_array(low_col,low_row,value=0.0);存有效像元的出现次数Average = make_array(low_col,low_row,value=0.0);存平均值; 遍历文件夹内的所有栅格数据for i=0,n_elements(files)-1 do beginENVI_OPEN_FILE, files[i], r_fid=fid,  /no_realizeENVI_FILE_QUERY, fid,  nl=nl, ns=ns,dims=dims,nb=nbfile=ENVI_GET_DATA(fid=fid,dims=dims,pos=0); 单景影像的逻辑for a=0,low_col-1 do begin;获取列数for b=0,low_row-1 do begin;获取行数，应该是先列后行if  file[a,b] GT  0 then begin    ;GE 大于等于运算符，左边大于右边则为真；GT 大于运算符；LE:小于等于运算符；LT：小于运算符Sum[a,b] = Sum[a,b] + file[a,b]   ; 有效值累加，每个像元的count[a,b] = count[a,b] + 1 ;累加次数计数器endifendforendforendforAverage = Sum / countoutfile8 = out_dir + '\' + strmid(file_basename(files[0]),0,25) + '.Average.tif'    ;16  25ENVI_WRITE_ENVI_FILE , Average , r_fid=fid , map_info=mapinfo , out_name=outfile8end

上例可实现对输入路径文件夹下的所有栅格数据的平均栅格计算。

总结

ArcPy牛皮！毕业万岁！中期快乐！
批量计算平均栅格数据，接下来要继续探索下IDL语言，虽然它的语法有些…，同时，学习下python + GDAL，这一大杀器

后记

写博客的初衷是分享我的一些经验，同时也方便自己在其他电脑上进行数据处理。帮了很多人，但评论区小伙伴也有遇到问题的，那么：知识付费，我的时间和经验正好可以解决你的问题。

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1-Volcano火山：容器与批量计算的碰撞
1-Volcano火山:容器与批量计算的碰撞 Volcano是基于Kubernetes的一个批处理调度系统,它为大数据.机器学习以及HPC等多种工作负载提供了作业生命周期的管理.调度以及资源管理一系列 ...
使用Pandas的rolling函数计算滚动平均值（rolling average with Pandas rolling）、seaborn使用lineplot函数可视化时间序列数据、并添加滚动平均值
使用Pandas的rolling函数计算滚动平均值(rolling average with Pandas rolling).seaborn使用lineplot函数可视化时间序列数据(time ser ...
根据经纬度批量计算多个点到多个点之间的距离
def ad_dis(LatA,LonA,LatB,LonB):# 批量计算多个点和多个点之间的球面距离# LatA = np.array([23, 24])# LatB = np.array([23 ...
python输入任意多个成绩-Python 实现输入任意多个数,并计算其平均值的例子
学习了Python相关数据类型,函数的知识后,利用字符串的分割实现了输入任意多个数据,并计算其平均值的小程序.思路是接收输入的字符串,以空格为分隔符,将分割的数据存入列表(lst1)中,将lst1中的 ...
Volcano：带你体验容器与批量计算的碰撞的火花
历史在分析趋势之前,我们先看一下分布式调度系统的历史.早期分布式调度系统以批处理系统为主,例如九几年的LSF/SGE/PBS等,这些批处理系统大规划的使用在HPC领域,而且对作业级的调度进行大量的研 ...
未来云原生世界的“领头羊”：容器批量计算项目Volcano 1.0版本发布
在刚刚结束的CLOUD NATIVE+ OPEN SOURCE Virtual Summit China 2020上,由华为云云原生团队主导的容器批量计算项目Volcano正式发布1.0版本,标志着V ...

IDL批量计算栅格数据平均值