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Keyword: Landsat

Quality control and assessment of interpreter consistency of annual land cover reference data in an operational national monitoring program

Publications Posted on: September 14, 2019
The U.S. Geological Survey Land Change Monitoring, Assessment and Projection (USGS LCMAP) initiative is working toward a comprehensive capability to characterize land cover and land cover change using dense Landsat time series data. A suite of products including annual land cover maps and annual land cover change maps will be produced using the Landsat 4-8 data record.

Examining post-fire vegetation recovery with Landsat time series analysis in three western North American forest types

Publications Posted on: May 30, 2019
Background: Few studies have examined post-fire vegetation recovery in temperate forest ecosystems with Landsat time series analysis. We analyzed time series of Normalized Burn Ratio (NBR) derived from LandTrendr spectral-temporal segmentation fitting to examine post-fire NBR recovery for several wildfires that occurred in three different coniferous forest types in western North America during the years 2000 to 2007.

Implementation of the LandTrendr algorithm on Google Earth Engine

Publications Posted on: July 06, 2018
The LandTrendr (LT) algorithm has been used widely for analysis of change in Landsat spectral time series data, but requires significant pre-processing, data management, and computational resources, and is only accessible to the community in a proprietary programming language (IDL). Here, we introduce LT for the Google Earth Engine (GEE) platform.

Mapping forest change using stacked generalization: An ensemble approach

Publications Posted on: July 06, 2018
The ever-increasing volume and accessibility of remote sensing data has spawned many alternative approaches for mapping important environmental features and processes. For example, there are several viable but highly varied strategies for using time series of Landsat imagery to detect changes in forest cover.

Carbon Monitoring System (CMS)

Projects Posted on: June 22, 2018
A historically consistent and broadly applicable monitoring, reporting, and verification system based on lidar sampling and Landsat time-series (tested in the US, and applied to the US NGHGI reporting system).

North American Forest Dynamics (NAFD)

Projects Posted on: June 22, 2018
North American Forest Dynamics (NAFD) project is exploiting the Landsat historical record to develop a quantitative understanding of forest disturbance patterns across the conterminous US.

Non-RMRS Publications

Pages Posted on: June 15, 2018
Publications related to the Laboratory for Applications of Remote Sensing in Ecology (LARSE), but that do not have an RMRS author.

TimeSync: Human interpretation of Landsat time series

Pages Posted on: June 15, 2018
TimeSync is a Landsat time series visualization tool and web application.

Mean composite fire severity metrics computed with Google Earth engine offer improved accuracy and expanded mapping potential

Publications Posted on: June 12, 2018
Landsat-based fire severity datasets are an invaluable resource for monitoring and research purposes. These gridded fire severity datasets are generally produced with pre- and post-fire imagery to estimate the degree of fire-induced ecological change.

Spatiotemporal patterns of unburned areas within fire perimeters in the northwestern United States from 1984 to 2014

Publications Posted on: May 11, 2018
A warming climate, fire exclusion, and land cover changes are altering the conditions that produced historical fire regimes and facilitating increased recent wildfire activity in the northwestern United States. Understanding the impacts of changing fire regimes on forest recruitment and succession, species distributions, carbon cycling, and ecosystem services is critical, but challenging across broad spatial scales.