This article presents a forest growth trend analysis method that integrates Landsat temporal trajectories and decision tree techniques to derive annual forest disturbance maps over an 11-year period
This article aims to quantify the landscape-level drivers that explain the dynamic patterns of mount...
This study investigated the identification of probable mountain pine beetle (Dendroctonus ponderosae...
We developed a semi-automatic algorithm named Berkeley Indices Trajectory Extractor (BITE) to detect...
Disturbances are key processes in the carbon cycle of forests and other ecosystems. In recent decade...
Mountain pine beetle (Dendroctonus ponderosae; MPB) population has existed at endemic levels in the ...
This is the publisher’s final pdf. The published article is copyrighted by Elsevier and can be found...
Over the past two decades, severe mountain pine beetle (MPB) outbreaks have affected several million...
In contrast to abrupt changes caused by land cover conversion, subtle changes driven by a shift in t...
Occurring over multiple years and impacting an area over 13 million hectares to date, the current ep...
Over the past two decades, severe mountain pine beetle (MPB) outbreaks have affected several million...
Forests contain a majority of the aboveground carbon (C) found in ecosystems, and understanding biom...
Forests contain a majority of the aboveground carbon (C) found in ecosystems, and understanding biom...
Landsat time series (LTS) and associated change detection algorithms are useful for monitoring the e...
Forest disturbances such as bark beetle outbreaks are increasing in severity and extent across weste...
Ongoing mountain pine beetle infestation in the Rocky Mountain Region has resulted in research for a...
This article aims to quantify the landscape-level drivers that explain the dynamic patterns of mount...
This study investigated the identification of probable mountain pine beetle (Dendroctonus ponderosae...
We developed a semi-automatic algorithm named Berkeley Indices Trajectory Extractor (BITE) to detect...
Disturbances are key processes in the carbon cycle of forests and other ecosystems. In recent decade...
Mountain pine beetle (Dendroctonus ponderosae; MPB) population has existed at endemic levels in the ...
This is the publisher’s final pdf. The published article is copyrighted by Elsevier and can be found...
Over the past two decades, severe mountain pine beetle (MPB) outbreaks have affected several million...
In contrast to abrupt changes caused by land cover conversion, subtle changes driven by a shift in t...
Occurring over multiple years and impacting an area over 13 million hectares to date, the current ep...
Over the past two decades, severe mountain pine beetle (MPB) outbreaks have affected several million...
Forests contain a majority of the aboveground carbon (C) found in ecosystems, and understanding biom...
Forests contain a majority of the aboveground carbon (C) found in ecosystems, and understanding biom...
Landsat time series (LTS) and associated change detection algorithms are useful for monitoring the e...
Forest disturbances such as bark beetle outbreaks are increasing in severity and extent across weste...
Ongoing mountain pine beetle infestation in the Rocky Mountain Region has resulted in research for a...
This article aims to quantify the landscape-level drivers that explain the dynamic patterns of mount...
This study investigated the identification of probable mountain pine beetle (Dendroctonus ponderosae...
We developed a semi-automatic algorithm named Berkeley Indices Trajectory Extractor (BITE) to detect...
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