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Keyword: Landsat

Regional-scale forest restoration effects on ecosystem resiliency to drought: A synthesis of vegetation and moisture trends on Google Earth Engine

Publications Posted on: January 04, 2021
Large-scale changes in forest structure and ecological function throughout western North America have led to increased frequency, size, and severity of wildfires. The US Forest Service is implementing state-wide forest restoration initiatives to reduce wildfire hazards and improve forest health.

Estimating time since the last stand-replacing disturbance (TSD) from spaceborne simulated GEDI data: A feasibility study

Publications Posted on: January 04, 2021
Stand-level maps of past forest disturbances (expressed as time since disturbance, TSD) are needed to model forest ecosystem processes, but the conventional approaches based on remotely sensed satellite data can only extend as far back as the first available satellite observations.

Post-fire field observations across the 2007 Egley Fire in central Oregon (1st Edition)

Datasets Posted on: December 30, 2020
This data publication contains field observations taken in 2008 at 350 plots within the extent of the 2007 Egley Fire in central Oregon. Plots were located as paired sites in areas that had been treated and untreated prior to the 2007 Egley Fire. Field observations include a suite of vegetation, soil, fuel, and surface cover characteristics.

Post-fire field observations across the 2007 Egley Fire in central Oregon (2nd Edition)

Datasets Posted on: December 30, 2020
This data publication contains field observations taken in 2008 at 350 plots within the extent of the 2007 Egley Fire in central Oregon. Plots were located as paired sites in areas that had been treated and untreated prior to the 2007 Egley Fire. Field observations include a suite of vegetation, soil, fuel, and surface cover characteristics.

Field attributes and satellite data for "How vegetation recovery and fuel conditions in past fires influences fuels and future fire management in five western U.S. ecosystems" (1st Edition)

Datasets Posted on: December 30, 2020
This data publication contains field and satellite observations at 1567 plots across wildfire extents that burned between the years 2000-2007, collected for Joint Fire Science Project ID: 14-1-02-27. Field attributes were measured between the years 2013-2016 and include a suite of vegetation, soil, and surface cover characteristics.

Field attributes and satellite data for "How vegetation recovery and fuel conditions in past fires influences fuels and future fire management in five western U.S. ecosystems" (2nd Edition)

Datasets Posted on: December 30, 2020
This data publication contains field and satellite observations at 1567 plots across wildfire extents that burned between the years 2000-2007, collected for Joint Fire Science Project ID: 14-1-02-27. Field attributes were measured between the years 2013-2016 and include a suite of vegetation, soil, and surface cover characteristics.

Field observations for "A carbon monitoring system for mapping regional, annual aboveground biomass across the northwestern USA"

Datasets Posted on: December 30, 2020
These data represent a portion of the forest inventory data used in Hudak et al. (in review) "A carbon monitoring system for mapping regional, annual aboveground biomass across the northwestern USA".

New Landscape Change Monitoring System Tool Helps Us Understand and Visualize Landscape-Level Changes Over Time

Documents and Media Posted on: October 26, 2020
The Landscape Change Monitoring System (LCMS) is an important new dataset and tool that allows the user to create landscape scale historical disturbance maps. Document Type: Other Documents

Highly local model calibration with a new GEDI LiDAR asset on Google Earth engine reduces Landsat forest height signal saturation

Publications Posted on: September 29, 2020
While Landsat has proved to be effective for monitoring many elements of forest condition and change, the platform has well-documented limitations in measuring forest structure, the vertical distribution of the canopy. This is important because structure determines several key ecosystem functions, including: carbon storage; habitat suitability; and timber volume.

Continuous monitoring of land disturbance based on Landsat time series

Publications Posted on: August 17, 2020
We developed a new algorithm for COntinuous monitoring of Land Disturbance (COLD) using Landsat time series. COLD can detect many kinds of land disturbance continuously as new images are collected and provide historical land disturbance maps retrospectively. To better detect land disturbance, we tested different kinds of input data and explored many time series analysis techniques. We have several major observations as follows.

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