Landsat 7

Spectral sensitivity of Landsat 7 Bands.

Band Number Wavelength Interval     Spectral Response
1                 0.45-0.52 µm Blue-Green
2                 0.52-0.60 µm Green
3                 0.63-0.69 µm Red
4                 0.76-0.90 µm Near IR
5                 1.55-1.75 µm Mid-IR
6                10.40-12.50 µm Thermal IR
7                2.08-2.35 µm Mid-IR


LANDSAT 7 ETM+ é composta por 8 bandas
Banda 8 é a pancromática

Falsas cores 4,3,2


Descompactar arquivo .gz
gzip -d *.gz

Baixar imagens Landsat
http://glcf.umd.edu/data/landsat/


The Orfeo Toolbox is a C++ library for high resolution remote sensing image processing. It is developped by CNES in the frame of the ORFEO program

otbcli_BundleToPerfectSensor -inp pan_image -inxs xs_image -out output_image

1 Use Superimpose module to make multi-spectral imagery to have the same extent and resolution as the panchormatic one.
2 Use Simple RCS Pansharpening module on panchromatic and resampled multi-spectral imagery.


Pan-sharpening is a technique that merges high-resolution panchromatic data with medium-resolution multispectral data to create a multispectral image with higher-resolution features.

This page provides details on pan-sharpening Landsat 7 data: http://landsat.usgs.gov/panchromatic_image_sharpening.php. The process will be similar for Landsat 8 data (band file names will differ).

Criar um pansharpen com gdal:
gdal_pansharpen.py panchro.tif multispectral.tif pansharpened_out.tif

Combinar as bandas para formar RGB:
convert -combine L71220078_07820090617_B30.TIF L71220078_07820090617_B20.TIF L71220078_07820090617_B10.TIF rgb.tif


pip-install landsat-util