Modeled dataset layers

Via the Lens Library, you have access to several modeled datasets that can be added to your account as layers. These are layers derived from remotely sensed images using various methods to classify or quantify for a specific purpose (examples: land use, tree canopy height, etc.). This article will summarize the available modeled dataset layers in Lens. To learn more about the Lens Library, see our article here.

Landcover data from NLCD

This layer shows the National Land Cover Database (NLCD) classifications of land cover at 30m resolution based on a 16-class legend. The NLCD is developed by a partnership of multiple United States Federal agencies and the most recent available layer in Lens is from 2016. You can visualize this public dataset and landcover classifications for properties in Lens but Upstream Tech is not responsible for the accuracy of the classifications. The legend for this layer is visible when scrolling to the bottom of the details pane.

Landcover data from ESA WorldCover

The ESA WorldCover global landcover layer from 2020 is based on data from Sentinel-1 and 2, and provides land cover classifications at 10m resolution globally. This data layer from the European Space Agency was developed by a consortium major European service providers and research organizations and includes 12 categories of land cover. You can visualize this public dataset and landcover classifications for properties in Lens but Upstream Tech is not responsible for the accuracy of the classifications. The legend for this layer is visible when scrolling to the bottom of the details pane.