Metadata-Version: 2.1
Name: srem
Version: 1.0.0
Summary: A Simplified and Robust Surface Reflectance Estimation Method for Satellite Imagery
Home-page: https://github.com/oyam/srem
Author: Taiki Oyama
Author-email: oyamat4@gmail.com
License: MIT License
Description: SREM estimates surface reflectance of satellite imagery without integrating information of aerosol particles and
        atmospheric gasses. Core algorithm is based on "A Simplified and Robust Surface Reflectance Estimation Method (SREM) for Use over DiverseLand Surfaces Using Multi-Sensor Data" [[pdf](https://www.mdpi.com/2072-4292/11/11/1344/pdf)]. 
        
        
        ### Installation
        This library supports Python >= 3.6
        ```sh
        pip install srem
        ```
        
        ### Usage
        ```python
        import numpy as np
        from srem import srem
        
        surface_reflectance = srem(
            toa_reflectance, # np.ndarray with shape of (height, width)
            wavelength, # float in micrometer
            solar_azimuth_angle_deg, # float or np.ndarray with shape of (height, width)
            solar_zenith_angle_deg, # float or np.ndarray with shape of (height, width)
            sensor_azimuth_angle_deg, # float or np.ndarray with shape of (height, width)
            sensor_zenith_angle_deg # float or np.ndarray with shape of (height, width)
        )
        
        assert isinstance(surface_reflectance, np.ndarray)
        assert surface_reflectance.shape == toa_reflectance.shape
        ```
        
        For detailed usage, please refer to examples of Landsat-8 and Sentinel-2.
        - [example/landsat8](https://github.com/oyam/srem/tree/master/examples/landsat8)
        - [example/sentinel2](https://github.com/oyam/srem/tree/master/examples/sentinel2)
        
        
        ### References
        - Bilal, Muhammad, et al. "A simplified and robust surface reflectance estimation method (srem) for use over diverse land surfaces using multi-sensor data." Remote Sensing 11.11 (2019): 1344.
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.5
Description-Content-Type: text/markdown
Provides-Extra: test
