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What is preprocessing is required when using Landsat for LULC?
I’d also like to answer your question by saying that there is no universal way to preprocess data for land cover and land use mapping. You always have to decide what is necessary and what is not based on your specific needs and the data you have access to. But surface reflectance data is usually a good starting point.
What kind of image pre-processing techniques should be used for Landsat?
Can anyone help me regarding the what kind of image pre-processing techniques should be used for the landsat images downloaded from http://earthexplorer.usgs.gov/ to create land-use land-cover (LULC) map? Atmospheric correction is required for all time series studies, as indicated in your comments.
Which is the successor to the LULC data set?
The successor to LULC is the USGS’s National Land Cover Data (NLCD). Unlike LULC, which originated as a vector data set in which the smallest features are about ten acres in size, NLCD is a raster data set with a spatial resolution of 30 meters (i.e., pixels represent about 900 square meters on the ground) derived from Landsat TM imagery.
How big is NLCD compared to LULC data?
Unlike LULC, which originated as a vector data set in which the smallest features are about ten acres in size, NLCD is a raster data set with a spatial resolution of 30 meters (i.e., pixels represent about 900 square meters on the ground) derived from Landsat TM imagery.
What are the different types of Landsat images?
To achieve this, a set of Landsat images, including one Multispectral Scanner (MSS) scene from 1987; one Enhanced Thematic Mapper Plus (ETM+) scene from 2000; two Thematic Mapper (TM) scenes from 1995 and 2011; and one Landsat 8 Operational Land Imager (OLI) scene from 2017; were acquired and processed.
How are land cover maps used in LULC?
Ground-based survey data and the normalized difference vegetation index (NDVI) were used to identify and to improve the discrimination between LULC categories. Then, the maximum likelihood (ML) classification method was applied was applied, in order to produce land cover maps for each year.