Sign up today
Lens
/
DATASETS

All the data you need in one spot

Our pricing is transparent and unmatched. Public datasets are included free in Lens and we bring all the commercial vendors under one roof so you only pay for what you need, starting at $0.04 per acre.

The Lens Library makes it easy to access remote sensing and environmental data from a range of sources, giving you the power to gain insights, track changes, and ultimately share your story. Learn more about our current datasets below.
Planet imagery

Planet imagery

Planet captures high-resolution imagery worldwide with their SkySat (0.5m) and PlanetScope (4m) constellations. Order from the SkySat archive, or subscribe to 4m Planet Basemap monthly mosaics.

Sources: PlanetScope; SkySat archive
Planet Forest Carbon Diligence

Planet Forest Carbon Diligence

The Planet Forest Carbon Diligence package includes modeled layers for canopy cover, canopy height and aboveground carbon. Order directly from Lens to access annual data back to 2013.

Learn more here.

Sources: Planet Labs
Maxar

Maxar

Maxar Worldview 2 and 3 capture high-resolution satellite imagery worldwide at 0.5 and 0.3m resolution, respectively. This high-resolution source is ideal for assessing past and present site conditions.

Sources: Maxar WorldView
Airbus

Airbus

Airbus captures hi-res satellite imagery worldwide at 0.3, 0.5, and 1.5m resolution. Truecolor Airbus imagery can be used for baselining and monitoring.

Sources: Airbus Pléiades, Airbus Pléiades Neo, Airbus Pléiades and Extended Archive, Airbus SPOT and Extended Archive
Nearmap

Nearmap

Nearmap captures high-resolution aerial imagery which we display at 0.5m resolution in Lens. Nearmap truecolor imagery is available in the US, particularly around urban areas.

Sources: Nearmap
Parcel data

Parcel data

Parcel Data from Regrid pulls parcel data from across the US directly into Lens, allowing you to easily check tax parcel ownership. See information on land ownership and track changes.

Read more: How to use parcel data in Lens

Sources: Regrid
Landcover

Landcover

Land cover models can be used to understand how landscapes are transitioning over time. Impact Observatory uses AI to classify landscapes globally, ESA Worldcover is based on Sentinel data, and USGS National Land Cover Database characterizes land use in the United States. Monitor how landscapes are changing as a result of urban expansion, ecological changes, and more.

Read: Press release for the Impact Observatory landcover dataset.

Sources: ESA WorldCover, Impact Observatory, USGS NLCD
Public truecolor

Public truecolor

Truecolor imagery displays ground conditions in a natural color palette, similar to what humans observe. Monitor with frequent revisits and pinpoint the timing of large-scale changes.

Sources: NASA/USGS Landsat 8, USDA NAIP, ESA Sentinel-2
Global forest change

Global forest change

This dataset showcases forest loss globally with annual data for the past two decades. Look back in time to understand historic forest loss, assess future risks, and inform effective management plans.

Sources: University of Maryland GLAD Lab
Biodiversity intactness

Biodiversity intactness

The Biodiversity Intactness dataset estimates terrestrial biodiversity intactness across the globe, which can elucidate how ecosystems have changed as a result of human pressures.

Read more: Measuring and monitoring for biodiversity

Sources: Impact Observatory and Vizzuality
Burn

Burn

Normalized Burn Ratio (NBR) or normalized burn index highlights burned areas and can be used to measure burn severity. Assess the timing and severity of fire as well as monitor recovery efforts after events such as wildfire or a prescribed burn.

Sources: ESA Sentinel-2A/B, NASA/USGS Landsat 8
Building footprints

Building footprints

Microsoft uses machine learning to detect building footprints. Assess the presence of structures and buildings on your area of interest.

Sources: Microsoft
Species richness

Species richness

The Map of Biodiversity Importance (MoBI) Species Richness dataset estimates the number of species with habitat within a given area.

Read more: Measuring and monitoring for biodiversity

Sources: NatureServe
Surface water

Surface water

Normalized Difference Water Index (NDWI) identifies areas where surface water is present, such as rivers or ponds. NDWI can help track how water presence is changing and evaluating flood impacts.

Sources: ESA Sentinel-1 (radar), ESA Sentinel-2A/B, NASA/USGS Landsat 8, USDA NAIP
Surface moisture

Surface moisture

Surface moisture, derived from NDWI, identifies areas of moist bare soil and shallow water. Monitor wetland ecosystems and seasonal moisture fluctuations in different environments.

Sources: ESA Sentinel-2A/B, USDA NAIP
Flowlines

Flowlines

The flowlines data comes from USGS data showing streams and rivers across the United States. Visualize streams and rivers on your site.

Sources: USGS
Indigenous territories

Indigenous territories

Indigenous Territories from Native Land Digital maps Indigenous territory boundaries globally. Contextualize your property or project site in light of native territories.

Sources: Native Land Digital
Falsecolor

Falsecolor

There are multiple color infrared datasets in Lens, which display bands from the infrared spectrum and visible bands to elucidate details about the landscape, such as plant health, water, and ice. False-color is useful for identifying phenomena like certain plant species, the presence of ice, and even some water pollutants.

Read more: A primer on false-color imagery

Sources: ESA Sentinel-2A/B, NASA/USGS Landsat 8, USDA NAIP
Snow

Snow

The Normalized Difference Snow Index (NDSI) highlights areas on a property where snow is present. Evaluate snow presence, seasonal trends, and analyze trends over time.

Sources: ESA Sentinel-2A/B, NASA/USGS Landsat 8
Vegetation

Vegetation

Normalized Difference Vegetation Index (NDVI) is a measure of vegetation vigor or plant health. Vegetation indices are useful for monitoring plant health, disturbance, and regrowth.

Sources: ESA Sentinel-2A/B, NASA/USGS Landsat 8, USDA NAIP
Chlorophyll

Chlorophyll

The Normalized Difference Chlorophyll Index (NDCI) is used to estimate the amount of chlorophyll in bodies of water and is not meant to be used in areas of dry ground. Higher values indicate higher presence of chlorophyll. This layer is derived from ESA Sentinel-2 going back to late 2015 with frequent captures.

Sources: Sentinel-2