What years are NLCD layers available?
NLCD 2016 offers land cover for years 2001, 2003, 2006, 2008, 2011, 2013, 2016, and impervious surface for 2001, 2006, 2011, and 2016.
What are different land cover types?
For this indicator, the 16 land cover classes were aggregated into seven major land cover types: forest, herbaceous/grassland, shrubland, developed, agriculture, wetlands, and other (includes ice/snow, barren areas, and open water).
What are the five main types of land use?
There are five main different types of land use: residential, agricultural, recreation, transportation, and commercial.
How many acres was the Great Plains?
Facts. The Northern Great Plains spans more than 180 million acres and crosses five U.S. states and two Canadian provinces. As large as California and Nevada combined, this short- and mixed-grass prairie is one of only four remaining intact temperate grasslands in the world.
Which is the national land cover data set?
Meanwhile, the U.S. National Geospatial-Intelligence Agency (formerly the National Imagery and Mapping Agency) hired a company called Earthsat (Now MDA Federal) to produce a 120-meter resolution, 13-class land use / land cover data set for the rest of the world.
Is there a NLCD Land Cover Change Index?
NLCD 2016 land cover and impervious surface product versions of previous dates must be downloaded for proper comparison. A new product for NLCD 2016 land cover is the NLCD Land Cover Change Index. This index provides a simple and comprehensive way to visualize change from all 7 dates of land cover in a single layer.
How many pixel blocks are in USGS land cover data?
USGS encourages users to aggregate the data into 3 x 3 or 5 x 5 pixel blocks (in other words, to decrease spatial resolution from 30 meters to 90 or 150 meters), or to aggregate the 21 Level II classes into the nine Level I classes.
How is land cover classified by the USGS?
Modified Anderson Land Use/Land Cover Classification used for the USGS National Land Cover Dataset. The USGS hired private sector vendors to assess the classification accuracy of the NLCD 92 by checking randomly sampled pixels against manually interpreted aerial photographs.