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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

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Planet Basemaps are a premium subscription option, which guarantees 4-meter monthly imagery mosaics for properties in Lens. Learn more here.

Sources: PlanetScope
Planet

Maxar

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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
Maxar

Airbus

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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
Airbus

Nearmap

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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
Nearmap

Public truecolor

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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
Public truecolor

Parcel data

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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
Parcel data

Landcover

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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
Landcover

Vegetation

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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
Vegetation

Global forest change

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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
Global forest change

Biodiversity intactness

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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
Biodiversity intactness

Burn

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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
Burn

Building footprints

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

Sources: Microsoft
Building footprints

Species richness

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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
Species richness

Surface water

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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 water

Surface moisture

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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
Surface moisture

Flowlines

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

Sources: USGS
Flowlines

Indigenous territories

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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
Indigenous territories

Falsecolor

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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
Falsecolor

Snow

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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
Snow

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