Global 100m Terrestrial Human Footprint (HFP-100)

Maps depicting the intensity of human pressure on the environment have become a critical tool for spatial planning and management, monitoring the extent of human influence across Earth, and identifying critical remaining intact habitat. Yet, these maps are often years out of date by the time they are available to scientists and policy-makers. Here we provide an updated Human Footprint methodology to run on an annual basis to monitor changing anthropogenic pressures. Software and methods are parameterized to enable regular updates in the future. In addition, we release a 100-meter global dataset for the years 2015–2019 and 2020 based on land use, population, infrastructure, and accessibility data. Results show high levels of agreement in validation against expert-interpreted satellite imagery and improved performance compared to previous iterations of similar datasets. These maps are directly relevant to measuring progress towards national and international targets related to biodiversit..., This dataset was created by combining data on human pressures across the period 2015 to 2019 and for 2020 to map: 1) Land cover change (built environments, crop lands, and pasture lands), 2) population density, 3) electric infrastructure, 4) roadways, 5) railways, and 6) navigable waterways. Each pressure layer is assigned a score relative to its level of human pressure, then computed into a standardized scale of 0–50 as the sum of all pressure layers. Pressures are not mutually exclusive, rather the co-occurrence of pressures is intended to identify the greatest levels of human impact. The majority of layers cover the complete time period of 2015–2020, however, pressures from pasture, roads, and railways are treated as static in the Human Footprint maps due to limitations in the input datasets.
Scripts used to produce this data are available at: https://gitlab.com/impactobservatory/dwi-humanfootprint
Overall methodology is based on the following: 
--B. A. Williams, O. Venter, J. R. All..., HFP scores range from 0 to 50, with 0 representing virtually no human pressure and 50 representing severe human pressure on the environment. Data files are divided into tiles of 8192x8192 pixels. The data available here is multiplied by 1000 and converted to uint16 data type to reduce file sizes such that a value of 50000 corresponds to a score of 50. No data regions are coded as 65535., # Global 100m Terrestrial Human Footprint (HFP-100)

[https://doi.org/10.5061/dryad.ttdz08m1f](https://doi.org/10.5061/dryad.ttdz08m1f)

This readme.txt file was generated on 2023-10-25 by corresponding author Joe Mazzariello, Impact Observatory Inc.
Corresponding Author Information
Name: Joe Mazzariello
Institution: Impact Observatory, Inc
Address: 900 19th St NW, Squad 18, Washington, DC 20006, USA
Email: [e-mail]

## General Information

**Date of data collection:**
2015-01-01 through 2020-12-31

**Geographic location of data collection:**
Global

**Data Description:**
This file contains the global results for the Human Footprint 100m product for 2015, 2016, 2017, 2018, and 2019. The Human Footprint (HFP) is used to monitor changing anthropogenic pressures on a yearly cadence based on land cover change, population density, nighttime lights, roads, railways, and navigable rivers. Land cover for this set of data is based on the Copernicus Global Land Service Dyn...