Historical Disturbance Regimes

Summary

This project aims to explore and quantify changes in the disturbance regime of the Adirondack (ADK) Park since 1990. The ADK park is an ideal place to investigate changes in natural disturbance regimes because of its ‘forever’ wild designation - meaning the state owned land within the park boundaries has not been subject to human management since its acquisition by the state of New York.

Changes to disturbance regimes are expected across the northeast in the coming decades due to warming temperatures, changing climactic patterns and increased presence of invasive species. In many places, some changes have already been observed. Because of its important cultural value, desired role in NY GHG offset program and its suitability for this type of study, we wanted to see if similar changes to the disturbance regime could be found in the ADK park.

Satellite based disturbance detection algorithms present a novel way to asses these changes. Before the development of these algorithms (and the opening of the Landsat archive, which made large quantities of high quality satellite images available freely) the only way to asses changes in disturbance regime was through longstanding forest inventory programs. Change detection algorithms allow us to do historical research in the absence of inventory data.

The Landtrendr algorithm is used in numerous other CAFRI projects due to its ease of use and adaptability (open source, implemented on GEE), as well as its accuracy. For these reasons, we are again using the Landtrendr algorithm for this project.

People

Key Papers

  • Kennedy, R. E., Yang, Z., & Cohen, W. B. (2010). Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms. Remote Sensing of Environment, 114(12), 2897–2910.
  • Kennedy, R. E., Yang, Z., Cohen, W. B., Pfaff, E., Braaten, J., & Nelson, P. (2012). Spatial and temporal patterns of forest disturbance and regrowth within the area of the Northwest Forest Plan. Remote Sensing of Environment. 122: 117-133, 122, 117–133.
  • Kennedy, R. E., Yang, Z., Cohen, W. B., Pfaff, E., Braaten, J., & Nelson, P. (2012). Spatial and temporal patterns of forest disturbance and regrowth within the area of the Northwest Forest Plan. Remote Sensing of Environment. 122: 117-133, 122, 117–133.

Blog

Date Title Author
May 29, 2023 Historical Disturbance Trends: Initial Results Madeleine Desrochers
Sep 11, 2023 Historical Disturbance Trends: JOF Tuning (Recovery Threshold 0.75) Results Madeleine Desrochers
Jan 24, 2024 Historical Disturbance Trends: Minor Disturbances Madeleine Desrochers
Sep 20, 2023 Historical Disturbance Trends: Recovery Threshold 1 and Recovery Threshold 0.166 Madeleine Desrochers
Jun 8, 2023 Historical Disturbance Trends: Round 2 Results Madeleine Desrochers
Jun 21, 2023 Historical Disturbance Trends: Round 3 Results Madeleine Desrochers
Jul 31, 2023 Historical Disturbance Trends: Round 4 Results Madeleine Desrochers
No matching items