My question is a "pure" remote sensing question. Having been corrected by @PolyGeo before(as shown here - How do you classify unclassified pixels in a land cover geotiff tile?) I thought I will ask here before I post on GIS SE.
I have to do something similar to this paper - http://www.bsc.es/media/412.pdf
I have land cover data classified at a resolution of 30 meters derived from Landsat images.
I need to calculate parameters such as albedo, surface emissivity, surface roughness, etc for a small region and a climatological period(say Boreal summer). When I use the Semi Automatic Classifier Plugin to download Landsat images I only get a small number of images over my area for the period June through August (I checked for last year). In order to do a climatological analysis I need at least 100 images (preferably a morning pass and a afternoon pass) over period of a Boreal summer.
Would it be OK to use MODIS images and then do a downscaling to obtain these parameters or MODIS and then downscale to get an approximate value for the albedo and other parameters ? Does MODIS give more images than Landsat ? Are there other satellites that provide free images ?
Is my question(s) on topic ? Obviously I can split this up into several questions as the mods may suggest.