Just helpful if you are very new to Remote sensig-Change detection using 2 satellite images

[1] Data Study process CROP SMALL portion and plot and compare Need to understand and know complete details about your input data structure and image data may require extra care. As a first step(Data Study Compare2Images.R) , just select a selective area in the image and check extent and CRS are same and maually look to see what are the chages between 2 .

[2] RBand difference - separate Blue,Green,Red band information from Satellite images

Reference : http://landsat.usgs.gov/best_spectral_bands_to_use.php Question: What are the best spectral bands to use for my study?

Answer: This is a common question considered by all users of remotely sensed data. The level of detail (spatial resolution) is often the most interesting aspect of viewing a satellite image, but less appreciated is how changes in irradiative energy reflected by different surface materials are used to identify features of interest. Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS)

Band Wavelength Useful for mapping

Band 1 – coastal aerosol 0.43 - 0.45 coastal and aerosol studies

Band 2 – blue 0.45 - 0.51 Bathymetric mapping, distinguishing soil from vegetation and deciduous from coniferous vegetation

Band 3 - green 0.53 - 0.59 Emphasizes peak vegetation, which is useful for assessing plant vigor

Band 4 - red 0.64 - 0.67 Discriminates vegetation slopes

Band 5 - Near Infrared (NIR) 0.85-0.88 Emphasizes biomass content and shorelines

Band 6 - Short-wave Infrared (SWIR) 1 1.57 - 1.65 Discriminates moisture content of soil and vegetation; penetrates thin clouds

Band 7 - Short-wave Infrared (SWIR) 2 2.11 - 2.29 Improved moisture content of soil and vegetation and thin cloud penetration

Band 8 - Panchromatic 0.50 - 0.68 15 meter resolution, sharper image definition

Band 9 – Cirrus 1.36 - 1.38 Improved detection of cirrus cloud contamination

Band 10 – TIRS 1 10.60 – 11.19 100 meter resolution, thermal mapping and estimated soil moisture

Band 11 – TIRS 2 11.5 - 12.51 100 meter resolution, Improved thermal mapping and estimated soil moisture

Landsat 4-5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+) Band Wavelength Useful for mapping

Band 1 - blue 0.45 - 0.52 Bathymetric mapping, distinguishing soil from vegetation and deciduous from coniferous vegetation

Band 2 - green 0.52 - 0.60 Emphasizes peak vegetation, which is useful for assessing plant vigor

Band 3 - red 0.63 - 0.69 Discriminates vegetation slopes

Band 4 - Near Infrared 0.77 - 0.90 Emphasizes biomass content and shorelines

Band 5 - Short-wave Infrared 1.55 - 1.75 Discriminates moisture content of soil and vegetation; penetrates thin clouds

Band 6 - Thermal Infrared 10.40 - 12.50 Thermal mapping and estimated soil moisture

Band 7 - Short-wave Infrared 2.09 - 2.35 Hydrothermally altered rocks associated with mineral deposits

Band 8 - Panchromatic (Landsat 7 only) 0.52 - 0.90 15 meter resolution, sharper image definition

Landsat Multi Spectral Scanner (MSS)

Landsat MSS 1, 2,3 Spectral Bands Landsat MSS 4,5 Spectral Bands Wavelength Useful for mapping Band 4 - green Band 1 - green 0.5 - 0.6 Sediment-laden water, delineates areas of shallow water

Band 5 - red Band 2 - red 0.6 - 0.7 Cultural features

Band 6 - Near Infrared Band 3 - Near Infrared 0.7 - 0.8 Vegetation boundary between land and water, and landforms

Band 7 - Near Infrared Band 4 - Near Infrared 0.8 - 1.1 Penetrates atmospheric haze best, emphasizes vegetation, boundary between land and water, and landforms