代码使用python实现,用到的是pyGEDI
## Dependencies
- `numpy`
- `gdal`
- `h5py`
- `pandas`
- `matplotlib`
## Installation
- `pip install pyGEDI`## Loading pyGEDI Package
`from pyGEDI import *`
安装成功后,使用如下代码
from pyGEDI import * fileh5_2A=r'G:dataGEDI02_A_2021225053948_O15112_03_T06391_02_003_02_V002.h5' h5_2A=getH5(fileh5_2A) ul_lat=45.591939 ul_lon=127.197238 lr_lat=45.298283 lr_lon=127.776425 bbox=[ul_lat,ul_lon,lr_lat,lr_lon] idsbox=idsBox(h5_2A,'lat_lowestmode','lon_lowestmode',bbox) layers=['shot_number','lat_lowestmode','lon_lowestmode', 'sensitivity','quality_flag','rh'] dfbox=generateBoxDataFrame([h5_2A],layers,idsbox) dfbox.head()
预览数据:
保存为csv文件
df2csv(dfbox,filename='GEDI02_A_2021225053948_O15112_03_T06391_02_003_02_V002',outdir=r'G:GEDIdataresult')
然后就可以用GIS软件导入可视化了。



