atmospheric-correction 开源项目推荐（31 个）

CNES /MAJA

Level-2A processor used for atmospheric correction and cloud-detection. The active repository is the one below, this one is kept to leave access to the older issues.

MarcYin /SIAC

A sensor invariant Atmospheric Correction (SIAC)

MarcYin /SIAC_GEE

SIAC GEE version

remotesensinginfo /arcsi

Software to automate the production of optical analysis ready data (ARD) from Landsat, Sentinel-2 and others.

olivierhagolle /Start_maja

To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor

olivierhagolle /theia_download

To download products provided by Theia land data center : https://theia.cnes.fr

multiply-org /atmospheric_correction

Sentinel 2 and Landsat 8 Atmospheric correction

hygeos /polymer

Polymer atmospheric correction

Tristanovsk /grs

Deprecated, see new official repository https://github.com/CNES/GRSprocessor Atmospheric correction processor for high spatial resolution multispectral satellite images

MarcYin /S2_TOA_TO_LAI

From Sentinel 2 TOA reflectance to LAI

LLeiSong /sentinelPot

This is a python package to preprocess sentinel-1&2 imagery

Aouei /gee_acolite

ACOLITE atmospheric correction for Google Earth Engine

mundialis /docker-arcsi

A Docker image packaging Dr Pete Buntings Python Atmospheric and Radiometric Correction of Satellite Imagery (ARCSI) software. Docker images at https://hub.docker.com/r/mundialis/arcsi/

emanuelespiritowork /PRISTAR-GEOSPEC

PRISTAR-GEOSPEC: PRISma Tools for Analysis in R for GEOcoding and SPECtral refinement. PRISMA reading, masking, coregistration, smoothing and regriding

JohnKilbride /GEE_Landsat_BRDF

This repository provides a Python implementation of the c-factor BRDF logic in Google Earth Engine.

tmiraglio /SUREHYP

This package was designed to obtain desmiled, destriped and georeferenced reflectance images from Hyperion imagery.

onera /RefractionShift

A python module for computing the lateral shift due to atmospheric refraction

nasrajan /landsat8-rasterio

Getting started with Landsat 8 dataset using rasterio

edannas /MACHI

Minimal Atmospheric Compensation for Hyperspectral Imagers.

hangeza /speckle-stacker

Image processing for image sums of astronomical videos using speckle masking processing