geotifflib


Namegeotifflib JSON
Version 0.0.4 PyPI version JSON
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home_pagehttps://github.com/Flemyng1999/geotifflib
SummaryA Python GeoTiff kit based on GDAL
upload_time2024-05-16 07:20:06
maintainerNone
docs_urlNone
authorflemyng feng
requires_python>=3.9
licenseNone
keywords python tiff geotiff windows mac linux
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            # geotifflib

基于GDAL,对GeoTiff文件进行读写等操作。
GeoTiffLib primarily offers a set of utility functions for reading, saving, and processing GeoTIFF image files.

## 安装

由于使用pip安装GDAL报错,因此安装此包之前需要**使用conda安装GDAL**:

```sh
conda install GDAL
```

安装GDAL完成之后再安装本包:

```sh
pip install geotifflib
```

## 使用

主要包含了读、写两类函数。

### read()

根据文件路径读取GeoTiff数据、地理变换和投影。

输入:

1. 文件路径(Path or str)

返回:

1. tiff的数据矩阵(np.array):shape = [波段,宽,长]

### read_geo()

根据文件路径读取GeoTiff数据形状、地理变换和投影。

输入:

1. 文件路径(Path or str)

返回:

1. tiff的数据矩阵(np.array):shape = [波段,宽,长]
2. geotransform: tuple
3. projection: str

### save()

保存GeoTiff数据、地理变换和投影。

输入:

1. 保存路径(Path or str)
2. tiff的数据矩阵(np.array):shape = [波段,宽,长]
3. geotransform: tuple, tif file geotransform
4. projection: str, tif file projection
5. output dtype: gdal.GDT_Float32, tif file data type

### save_array()

保存GeoTiff数据。

输入:

1. 保存路径(Path or str)
2. tiff的数据矩阵(np.array):shape = [波段,宽,长]
3. output dtype: gdal.GDT_Float32, tif file data type

### hsi_to_rgb()

将光谱数据转化到RGB(做了$\gamma$矫正和归一化)

输入:

1. 光谱数据(np.ndarray):The hyperspectral image data, default shape is **[bands, width, height]**.
2. 红光波段索引(int):The index of the red band.
3. 绿光波段索引(int):The index of the green band.
4. 蓝光波段索引(int):The index of the blue band.

返回:

1. The RGB image data, shape is **[width, height, 3(r, g, b)]**.

### merge()

合并多个GeoTiff

输入:

1. 输入的tif图像路径列表(list[Path, Path...])
2. 输出的tif图像路径(Path)

            

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