landsatlinkr.jdbcode.com
LandsatLinkrAn automated system for processing large volumes of Landsat imagery and building long spectrally consistent chronologies across MSS, TM, ETM+, and OLI sensors
http://landsatlinkr.jdbcode.com/
An automated system for processing large volumes of Landsat imagery and building long spectrally consistent chronologies across MSS, TM, ETM+, and OLI sensors
http://landsatlinkr.jdbcode.com/
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LandsatLinkr | landsatlinkr.jdbcode.com Reviews
https://landsatlinkr.jdbcode.com
An automated system for processing large volumes of Landsat imagery and building long spectrally consistent chronologies across MSS, TM, ETM+, and OLI sensors
Visualization - LandsatLinkr
http://www.landsatlinkr.jdbcode.com/visualization.html
Show LLR-TimeMachine Interface Example. LLR-TimeMachine is a spectral chronology visualization tool for LLR outputs. The application is interactive. You can zoom the image subsets, change spectral indices, zoom the time series plot Y axis, change the size of the image subsets, and add time series segments to help interpret the spectral history. To load a demo version of the application. When the page loads, click the plot ID numbers in the. Section of the interface (upper-left) to load example data.
Outputs - LandsatLinkr
http://www.landsatlinkr.jdbcode.com/outputs.html
For each MSS, TM, ETM , and OLI image downloaded, several outputs are created. From these single image outputs, annual cloud-free image composites are derived by infilling where clouds are present and taking the mean pixel value from overlapping near-date images. 4-band DN raster stack. 4-band radiance raster stack. 4-band atmospherically corrected surface reflectance. 3-band TM-calibrated tasseled cap raster stack. 1-band TM-calibrated tasseled cap angle raster. 1-band cloud and shadow mask raster.
Process - LandsatLinkr
http://www.landsatlinkr.jdbcode.com/process.html
LandsatLinkr was developed in the R programming language and is run with a single function call to provide easy use for users across the whole range of R experience. Landsat images from MSS, TM, ETM , and OLI sensors are downloaded and placed into a specific directory structure and then. LLR procedures - click on function buttons for more information. Step 1: Prepare MSS imagery. Untar/unzip, reproject/resample, stack MSS images. Improve georegistration for select MSS images. Step 3: Prepare OLI imagery.
LandsatLinkr
http://www.landsatlinkr.jdbcode.com/index.html
An automated system for processing large volumes of Landsat imagery and building long spectrally consistent chronologies across MSS, TM, ETM , and OLI sensors.
About - LandsatLinkr
http://www.landsatlinkr.jdbcode.com/about.html
LandsatLinkr is written in the R programming language and distributed as an R package for straightforward and convenient installation. The system features an interactive interface for simple operation with no R experience needed. It is relatively fast and provides an option to run the system in parallel using 2 cores to reduce standard processing time by half. Basically, LLR takes hundreds of images downloaded from USGS servers and completes the following procedures with one command. Application, an inte...
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larse.forestry.oregonstate.edu
User account | Laboratory for Applications of Remote Sensing in Ecology
https://larse.forestry.oregonstate.edu/user/password
Username or e-mail address *. Warren Cohen, Director Zhiqiang Yang, co-Director. Maureen Duane, Lab Manager. USDA Forest Service and Oregon State University. 3200 SW Jefferson Way, Corvallis, OR 97331. 2014 Oregon State University.
larse.forestry.oregonstate.edu
Active Projects | Laboratory for Applications of Remote Sensing in Ecology
https://larse.forestry.oregonstate.edu/active-projects
Enabling Change Mapping in Eastern Africa. Enabling Local Monitoring of Landscape Change Across Eastern Africa. Mapping Original Forest Cover in Haiti. Ecosystem Threat Assessment and Protected Area Strategy for the Massif de la Hotte Key Biodiversity Area, Haiti. Carbon Monitoring System (CMS). An 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).
larse.forestry.oregonstate.edu
Publications | Laboratory for Applications of Remote Sensing in Ecology
https://larse.forestry.oregonstate.edu/publications
In Press. Harmonization of forest disturbance datasets of the conterminous United States from 1986-2011. Environmental Monitoring and Assessment. In Press. Modeling environmental suitability for large forest wildfires using past, present, and future climate normals. Forest Ecology and Management. In Press. Primary and secondary remote sensing products predict post-fire Lewis's woodpecker nesting habitat. Remote Sensing of Environment. Forest Ecology and Management. 390:173-186. 2016 Landsat Imagery Spect...
larse.forestry.oregonstate.edu
Visiting Scholars | Laboratory for Applications of Remote Sensing in Ecology
https://larse.forestry.oregonstate.edu/visiting-scholars
Eduardo González Ferreiro, Spain. Cristina Pascual Castaña, Spain. Javier Estornell Cremades, Spain. Luis Angel Ruiz Fernandez, Spain. Sara Fusco, Italy. Luis Gonzaga Garcia-Montero, Spain. Mercedes Garcia, Spain. Terje Gobakken, Norway. Patrick Griffiths, Germany. Martin Hais, Czech Republic. Kyu-Sung Lee, South Korea. Magdalena Main, Germany. Francisco Mauro, Spain. Lara Arroyo Mendez, Spain. Jose Vázquez Morís, Italy/Spain. Dirk Pflugmacher, Germany. Ruth Sonnenschein, Germany. Gen Takao, Japan.
larse.forestry.oregonstate.edu
Projects | Laboratory for Applications of Remote Sensing in Ecology
https://larse.forestry.oregonstate.edu/projects
Warren Cohen, Director Zhiqiang Yang, co-Director. Maureen Duane, Lab Manager. USDA Forest Service and Oregon State University. 3200 SW Jefferson Way, Corvallis, OR 97331. 2014 Oregon State University.
larse.forestry.oregonstate.edu
Current Resident Staff | Laboratory for Applications of Remote Sensing in Ecology
https://larse.forestry.oregonstate.edu/current-resident-staff
Warren Cohen, Director. Zhiqiang Yang, Co-Director. Maureen Duane, Lab Manager. Warren Cohen, Director Zhiqiang Yang, co-Director. Maureen Duane, Lab Manager. USDA Forest Service and Oregon State University. 3200 SW Jefferson Way, Corvallis, OR 97331. 2014 Oregon State University.
larse.forestry.oregonstate.edu
People | Laboratory for Applications of Remote Sensing in Ecology
https://larse.forestry.oregonstate.edu/people
Warren Cohen, Director Zhiqiang Yang, co-Director. Maureen Duane, Lab Manager. USDA Forest Service and Oregon State University. 3200 SW Jefferson Way, Corvallis, OR 97331. 2014 Oregon State University.
larse.forestry.oregonstate.edu
Completed Projects | Laboratory for Applications of Remote Sensing in Ecology
https://larse.forestry.oregonstate.edu/completed-projects
Characterizing vegetation dynamics in western national parks. The goal of this project was to develop satellite-based maps of changes in vegetation dynamics over time, and to test the extent to which spatial and temporal patterns of change can be used to infer the relative importance of human management and climate change on those vegetative dynamics. Read more. Monitoring pest and fire related mortality in Oregon. We investigated the extent to which LandTrendr. Developing protocols for remote-sensing ba...
larse.forestry.oregonstate.edu
Alumni | Laboratory for Applications of Remote Sensing in Ecology
https://larse.forestry.oregonstate.edu/alumni
LARSE co-Director, '02-'12. LARSE co-Director, '97-'02. Warren Cohen, Director Zhiqiang Yang, co-Director. Maureen Duane, Lab Manager. USDA Forest Service and Oregon State University. 3200 SW Jefferson Way, Corvallis, OR 97331. 2014 Oregon State University.
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Home | Landsat Forest Area Change Tools
Skip to main content. Landsat Forest Area Change Tools. Frequently Asked Questions (FAQs). Tracking a Managed Landscape. 2015 Springtime Forest Harvesting, Arkansas. 2013 - 2014 Forest Harvesting During a Year in the Coastal Plain, North Carolina. Supporting Wildland Fire Suppression Efforts. 2011 Bastrop Fire Complex, Bastrop, Texas. 2011 Pains Bay Fire, Coastal Plain, North Carolina. 2013 Spring Tornadoes, Oklahoma. Salvaging a Damaged Forest. Do not show again. And the their employees, agents, contrac...
Landsat 7 Handbook
Landsat 7 Science Data Users Handbook - Home. The Landsat 7 Handbook is out of date. A revised version to bring the information up to date will be developed and posted when complete. Please see the USGS Landsat site at https:/ lta.cr.usgs.gov/LETMP. For current information on Landsat 7 ETM data and data products. Satellite in a series that has produced an uninterrupted multispectral record of the Earth's land surface since 1972. Along with data acquisition and the USGS. Landsat Data is available for FREE.
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LandsatLinkr
An automated system for processing large volumes of Landsat imagery and building long spectrally consistent chronologies across MSS, TM, ETM , and OLI sensors.
LandsatLook Viewer
Welcome to the LandsatLook Viewer! The LandsatLook Viewer is a prototype tool that was developed to allow rapid online viewing and access to the USGS Landsat image archives. This viewer allows you to:. Interactively explore the Landsat archive at up to full resolution directly from a common Web browser. Search for specific Landsat images based on area of interest, acquisition date, or cloud cover. Compare image features and view changes through time. View metadata and download the full-band source imagery.
landsat: a DIY 3D video art experiment
Landsat: a DIY 3D video art experiment. Tuesday, November 30, 2010. Lots has happened with project and I can't really put it all in one post, so I'll break it up to have it make more sense. This post will be a bit more of a tutorial for my post-production workflow, so for those that this does not concern, you may just want to stay tuned for upcoming posts. When I last left you, I had done a few test using blue/red anaglyph, using a demo of Dashwood's plugin Stereo3D Toolbox. Company. They produce spe...
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