Hello everyone, I am currently conducting a study on soil salinity digital mapping and I would love to use Landsat OLI and sentinel-2 MSI data to quantify the salinity. The other main objective were to discuss the differences of these two remote sensing data . In fact, the spatial resoultions of them are different (20m and 30m). For the comparison, should they be resampled to a same size? If yes, the resampling should be from 20m to 30m, or from 30 to 20 m?
Generally, higher spatial resolution image is resampled to lower resolution image. This is attributed to statistical error. If you resample your 30 m data to higher resolution, the obtained results will falsely show greater accuracy than the data on which they are based.
This question has been asked quite lot of times at many places. Please check the given link.
https://gis.stackexchange.com/questions/94302/when-dealing-with-rasters-of-varying-resolutions-should-one-resample-to-the-high/94304
Dear Dr. Jingzhe Wang
20 is better than 30m.
In addition, you could see, may it help:
Chapter Using Radar and Optical Data for Soil Salinity Modeling and ...
Article Using L-band radar data for soil salinity mapping — a case s...
Article Soil salinity prediction and mapping by machine learning reg...
Good luck.
The main visible and near-infrared Sentinel-2A bands have a spatial resolution of 10 meters, while its “red-edge” (red and near-infrared bands) and two shortwave infrared bands have a 20-meter spatial resolution. ... Geometric Characteristics: Sentinel-2A Level-1C products have similar geometric accuracy as Landsat 8