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Monitoring Landscape Change for LANDFIRE Using MultiTemporal Satellite Imagery and Ancillary Data
- IEEE Journal of
, 2011
"... Abstract—LANDFIRE is a large interagency project designed to provide nationwide spatial data for fire management applica-tions. As part of the effort, many 2000 vintage Landsat Thematic Mapper and Enhanced Thematic Mapper plus data sets were used in conjunction with a large volume of field informati ..."
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Cited by 7 (1 self)
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Abstract—LANDFIRE is a large interagency project designed to provide nationwide spatial data for fire management applica-tions. As part of the effort, many 2000 vintage Landsat Thematic Mapper and Enhanced Thematic Mapper plus data sets were used in conjunction with a large volume of field information to generate detailed vegetation type and structure data sets for the entire United States. In order to keep these data sets current and relevant to resource managers, there was strong need to develop an approach for updating these products. We are using three dif-ferent approaches for these purposes. These include: 1) updating using Landsat-derived historic and current fire burn information derived from the Monitoring Trends in Burn Severity project; 2) incorporating vegetation disturbance information derived from time series Landsat data analysis using the Vegetation Change Tracker; and 3) developing data products that capture subtle intra-state disturbance such as those related to insects and disease using either Landsat or the Moderate Resolution Imaging Spec-troradiometer (MODIS). While no one single approach provides all of the land cover change and update information required, we believe that a combination of all three captures most of the disturbance conditions taking place that have relevance to the fire community. Index Terms—Landscape monitoring, LANDFIRE, Landsat, MODIS, time series analyses.
Review Assessing Land Degradation and Desertification Using Vegetation Index Data: Current Frameworks and Future Directions
, 2014
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Recent land-use/land-cover change in the Central California Valley
, 2013
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Publication details, including instructions for authors and subscription information:
Article Meeting Earth Observation Requirements for Global Agricultural Monitoring: An Evaluation of the Revisit Capabilities of Current and Planned Moderate Resolution Optical Earth Observing Missions
"... remote sensing ..."
1 The Landsat observation record of Canada: 1972–2012
"... The PDF document is a copy of the final version of this manuscript that was subsequently accepted by the journal for publication. The paper has been through peer review, but has not been subject to any additional copy-editing or journal specific formatting (so will look different from the final vers ..."
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Cited by 1 (1 self)
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The PDF document is a copy of the final version of this manuscript that was subsequently accepted by the journal for publication. The paper has been through peer review, but has not been subject to any additional copy-editing or journal specific formatting (so will look different from the final version of record, which may be accessed following the DOI above depending on your access situation). 2 The Landsat data archive represents more than 40 years of earth observation, providing a valuable information source for monitoring ecosystem dynamics. In excess of 605,000 images of Canada have been acquired by the Landsat program since 1972. Herein we report several spatial and temporal characteristics of the Landsat observation record for Canada (1972–2012), including image availability by year, growing season, sensor, ecozone, and provincial or territorial jurisdiction. In contrast to the global Landsat archive, which is dominated by Enhanced Thematic Mapper Plus (ETM+) data, the majority of archived Landsat images of Canada were acquired by the Thematic Mapper
cover change within the Russian European north after the breakdown of soviet union
, 1990
"... Forest cover dynamics (defined as tree canopy cover change without regard to forest land use) within the Russian European North have been analyzed from 1990 to 2005 using a combination of results from two Landsat-based forest cover monitoring projects: 1990-2000 and 2000-2005. Results of the fores ..."
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Forest cover dynamics (defined as tree canopy cover change without regard to forest land use) within the Russian European North have been analyzed from 1990 to 2005 using a combination of results from two Landsat-based forest cover monitoring projects: 1990-2000 and 2000-2005. Results of the forest cover dynamics analysis highlighted several trends in forest cover change since the breakdown of the Soviet planned economy. While total logging area decreased from the 1990-2000 to the 2000-2005 interval, logging and other forms of anthropogenically-induced clearing increased within the Central and Western parts of the region. The most populated regions of European Russia featured the highest rates of net forest cover loss. Our results also revealed intensive gross forest cover loss due to forest felling close to the Russian-Finland border. The annual burned forest area almost doubled between the two time intervals. The 2000-2005 gross forest cover gain results suggest that tree encroachment on abandoned agriculture land is a wide-spread process over the region. The analysis demonstrates the value of regional-scale Landsat-based forest cover and change quantification. Our results supplemented official data by providing independently derived spatial information that could be used for assessing on-going trends and serve as a baseline for future forest cover monitoring.
© The Ecological Society of America www.frontiersinecology.org
"... Bringing an ecological view of change to Landsat-based remote sensing ..."
© The Ecological Society of America www.frontiersinecology.org
"... Ecologists increasingly include remotely sensed mea-surements in their efforts to describe ecosystem states and dynamics, and the number and capacity of tools available is continually expanding. For example, ecologists can turn to a growing suite of very high spatial resolution (VHSR) products to de ..."
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Ecologists increasingly include remotely sensed mea-surements in their efforts to describe ecosystem states and dynamics, and the number and capacity of tools available is continually expanding. For example, ecologists can turn to a growing suite of very high spatial resolution (VHSR) products to describe plot-level con-ditions in two and three dimensions (Wulder et al. 2004; Vierling et al. 2011), and to imagers at the global scale to examine the ecological status of the entire biosphere (Justice et al. 2011). Although availability, cost, and spatial scale are critical factors when determining appropriate remote-sensing tools, ecologists attempting to move beyond descriptions of state and toward an understanding of dynamics must consider another criti-cal issue: does a given remote-sensing tool describe change over time in a manner consistent with the eco-
and Atmospheric Sciences and Meteorology Commons
, 2013
"... (CONUS) land cover change with Web-Enabled ..."
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Rapid error assessment for quantitative estimations from Landsat 7 gap-filled images
, 2013
"... Abstract The failure of the Scan Line Corrector (SLC) of the Landsat ETM+ instrument in 2003 had resulted missing values for 22% of each scene. As the remaining of the pixels were of high quality, several procedures had been developed to fill the gaps and increase the usability of the SLC-off image ..."
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Abstract The failure of the Scan Line Corrector (SLC) of the Landsat ETM+ instrument in 2003 had resulted missing values for 22% of each scene. As the remaining of the pixels were of high quality, several procedures had been developed to fill the gaps and increase the usability of the SLC-off images. In this paper, a methodology is presented to assess the error when estimating quantitative parameters from gap-filled Landsat 7 images. The error from the gap-filling procedure was estimated by using an external reference image. The methodology was applied in a Mediterranean river basin using two types of gap-filling methods and the error was estimated for Leaf Area Index (LAI), actual evapotranspiration (ETa) and soil moisture in the rootzone (SMrz), three remotely sensed products which are commonly used in hydrological studies. The results suggest that the interpolation method had lower errors in all examined products. The proposed methodology is an imperative step that each user of gap filled products could use to estimate the associated error before using the maps.
