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Melanie Vanderhoof

Melanie Vanderhoof is a Research Geographer with the USGS, Geosciences and Environmental Change Science Center in Denver, CO. Her research focuses on using satellite imagery to understand how ecosystems change over time. She is particularly interested in surface water dynamics and disturbance events, such as fire and insect outbreaks. 

She received her B.S. degree in Biology and Society from Cornell University in 2004 and a M.S. degree in Geography from San Francisco State University in 2007. After working as a biologist for several years, she pursued graduate school and received a PhD in Geography from Clark University in 2014. Following an ORISE Post-Doctoral Fellowship at the U.S. Environmental Protection Agency, Office of Research and Development, she joined the U.S. Geological Survey as a research geographer in 2015.

 

 

Science and Products

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USGS science for a changing world logo

Landsat-derived fire history metrics to provide critical information for prioritizing prescribed fire across the Southeast

Detailed information about past fire history is critical for understanding fire impacts and risk, as well as prioritizing conservation and fire management actions. Yet, fire history information is neither consistently nor routinely tracked by many agencies and states, especially on private lands in the Southeast. Remote sensing data products offer opportunities to do so but require additional pr
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Community for Data Integration (CDI)
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Landsat-derived fire history metrics to provide critical information for prioritizing prescribed fire across the Southeast

Detailed information about past fire history is critical for understanding fire impacts and risk, as well as prioritizing conservation and fire management actions. Yet, fire history information is neither consistently nor routinely tracked by many agencies and states, especially on private lands in the Southeast. Remote sensing data products offer opportunities to do so but require additional pr
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Fire in Lolo National Forest, Montana

Drought and Disturbances as Drivers of Long-Term Ecological Transformation and Risk

Forested areas in the Western U.S. that are impacted by disturbances such as fire and drought have increased in recent decades. This trend is likely to continue, with the increase in frequency and extent of wildfire activity being especially concerning. Resource managers need reliable scientific information to better understand wildfire occurrence, which can vary substantially across landscapes an
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North Central Climate Science Center, Climate Adaptation Science Centers
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Drought and Disturbances as Drivers of Long-Term Ecological Transformation and Risk

Forested areas in the Western U.S. that are impacted by disturbances such as fire and drought have increased in recent decades. This trend is likely to continue, with the increase in frequency and extent of wildfire activity being especially concerning. Resource managers need reliable scientific information to better understand wildfire occurrence, which can vary substantially across landscapes an
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Forest after a wildland fire

Remote Sensing of Ecosystem Condition and Resilience

Ecosystem condition tends to be highly dynamic in response to natural variability in climate, extreme climate events, disturbance events, and human land use activities. Satellite imagery provides a powerful tool to enhance our understanding of ecosystem change at a landscape scale. This research integrates diverse sources of satellite imagery with ancillary datasets to explore how ecosystems...
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Land Change Science Program, Geosciences and Environmental Change Science Center
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Remote Sensing of Ecosystem Condition and Resilience

Ecosystem condition tends to be highly dynamic in response to natural variability in climate, extreme climate events, disturbance events, and human land use activities. Satellite imagery provides a powerful tool to enhance our understanding of ecosystem change at a landscape scale. This research integrates diverse sources of satellite imagery with ancillary datasets to explore how ecosystems...
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USGS science for a changing world logo

North American Analysis and Synthesis on the Connectivity of "Geographically Isolated Wetlands" to Downstream Waters

Geographically Isolated Wetlands (GIWs) occur along gradients of hydrologic and ecological connectivity and isolation, even within wetland types (e.g., forested, emergent marshes) and functional classes (e.g., ephemeral systems, permanent systems, etc.). Within a given watershed, the relative positions of wetlands and open-waters along these gradients influence the type and magnitude of their che
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John Wesley Powell Center for Analysis and Synthesis
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North American Analysis and Synthesis on the Connectivity of "Geographically Isolated Wetlands" to Downstream Waters

Geographically Isolated Wetlands (GIWs) occur along gradients of hydrologic and ecological connectivity and isolation, even within wetland types (e.g., forested, emergent marshes) and functional classes (e.g., ephemeral systems, permanent systems, etc.). Within a given watershed, the relative positions of wetlands and open-waters along these gradients influence the type and magnitude of their che
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The Landsat Burned Area products for the conterminous United States

The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally-dense time series of Landsat Analysis Ready Data (ARD) scenes to produce the Landsat Burned Area Products. The algorithm makes use of predictors derived from individual ARD Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions.
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Geosciences and Environmental Change Science Center

Data release for tracking rates of post-fire conifer regeneration distinct from deciduous vegetation recovery across the western U.S.

Post-fire shifts in vegetation composition will have broad ecological impacts. However, information characterizing post-fire recovery patterns and their drivers are lacking over large spatial extents. In this analysis we used Landsat imagery collected when snow cover (SCS) was present, in combination with growing season (GS) imagery, to distinguish evergreen vegetation from deciduous vegetation. W
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Geosciences and Environmental Change Science Center

Tracking disturbance and inundation to identify wetland loss

Global trends in wetland degradation and loss have created an urgency to monitor wetland extent, as well as track the distribution and causes of wetland loss. Satellite imagery can be used to monitor wetlands over time, but few efforts have attempted to distinguish anthropogenic wetland loss from climate-driven variability in wetland extent. We present an approach to concurrently track land cover
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Geosciences and Environmental Change Science Center

Data Release for the validation of the USGS Landsat Burned Area Product across the conterminous U.S.

Complete and accurate burned area map data are needed to document spatial and temporal patterns of fires, to quantify their drivers, and to assess the impacts on human and natural systems. In this study, we developed the Landsat Burned Area (BA) algorithm, an update from the Landsat Burned Area Essential Climate Variable (BAECV) algorithm. We present the BA algorithm and products, changes relative
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Geosciences and Environmental Change Science Center

Data release for Influence of multi-decadal land use, irrigation practices and climate on riparian corridors across the Upper Missouri River headwaters basin, Montana

The Upper Missouri River headwaters (UMH) basin (36 400 km2 ) depends on its river corridors to support irrigated agriculture and world-class trout fisheries. We evaluated trends (1984-2016) in riparian wetness, an indicator of the riparian condition, in peak irrigation months (June, July and August) for 158 km2 of riparian area across the basin using the Landsat normalized difference wetness inde
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Geosciences and Environmental Change Science Center

Data release for it matters when you measure it: using snow-cover Normalised Difference Vegetation Index (NDVI) to isolate post-fire conifer regeneration

Landsat Normalised Difference Vegetation Index (NDVI) is commonly used to monitor post-fire green-up; however, most studies do not distinguish new growth of conifer from deciduous or herbaceous species, despite potential consequences for local climate, carbon and wildlife. We found that dual season (growing and snow cover) NDVI improved our ability to distinguish conifer tree presence and density.
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Geosciences and Environmental Change Science Center

Data release for the potential role of very high-resolution imagery to characterise lake, wetland and stream systems across the Prairie Pothole Region, United States

Aquatic features critical to watershed hydrology range widely in size from narrow, shallow streams to large, deep lakes. In this study we evaluated wetland, lake, and river systems across the Prairie Pothole Region to explore where pan-sharpened high-resolution (PSHR) imagery, relative to Landsat imagery, could provide additional data on surface water distribution and movement, missed by Landsat.
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Geosciences and Environmental Change Science Center

Data release for estimating soil respiration in a subalpine landscape using point, terrain, climate and greenness data

Landscape carbon (C) flux estimates are necessary for assessing the ability of terrestrial ecosystems to buffer further increases in anthropogenic carbon dioxide (CO2) emissions. Advances in remote sensing have allowed for coarse-scale estimates of gross primary productivity (GPP) (e.g., MODIS 17), yet efforts to assess spatial patterns in respiration lag behind those of GPP. Here, we demonstrate
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Geosciences and Environmental Change Science Center

Data release for Time series of high-resolution images enhances efforts to monitor post-fire condition and recovery, Waldo Canyon fire, Colorado, USA

Interpretations of post-fire condition and rates of vegetation recovery can influence management priorities, actions, and perception of latent risks from landslides and floods. In this study, we used the Waldo Canyon fire (2012, Colorado Springs, Colorado, USA) as a case study to explore how a time series (2011-2016) of high-resolution images can be used to delineate burn extent and severity, as w
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Geosciences and Environmental Change Science Center

Data release for Applying high-resolution imagery to evaluate restoration-induced changes in stream condition, Missouri River Headwaters Basin, Montana

Degradation of streams and associated riparian habitat across the Missouri River Headwaters Basin has motivated several stream restoration projects across the watershed. Many of these projects install a series of beaver dam analogues (BDAs) to aggrade incised streams, elevate local water tables, and create natural surface water storage by reconnecting streams with their floodplains. Satellite imag
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Geosciences and Environmental Change Science Center

Landsat Burned Area Essential Climate Variable products for the conterminous United States (1984 -2015)

The U.S. Geological Survey (USGS) has developed and implemented an automated algorithm that identifies burned areas in temporally-dense time series of Landsat image stacks to produce the Landsat Burned Area Essential Climate Variable (BAECV) products. The algorithm makes use of predictors derived from individual Landsat scenes, lagged reference conditions, and change metrics between the scene and
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Geosciences and Environmental Change Science Center
Filter Total Items: 30

Using the landsat burned area products to derive fire history relevant for fire management and conservation in the state of Florida, southeastern USA

Development of comprehensive spatially explicit fire occurrence data remains one of the most critical needs for fire managers globally, and especially for conservation across the southeastern United States. Not only are many endangered species and ecosystems in that region reliant on frequent fire, but fire risk analysis, prescribed fire planning, and fire behavior modeling are sensitive to fire h
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Geosciences and Environmental Change Science Center

New operational national satellite burned area product

Introduction Lack of consistent spatial and temporal fire information with relevant spatial resolution hinders land management and broad-scale assessments of fire activity, especially in the eastern United States and the Great Plains where fi re is important ecologically and culturally. Remote sensing can be used to monitor fi re activity, augment existing fi re data, and fill information gaps. In
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Science Analytics and Synthesis (SAS), Earth Resources Observation and Science Center, Earth Resources Observation and Science (EROS) Center , Geosciences and Environmental Change Science Center

Development of a standard database of reference sites for validating global burned area products

Over the past 2 decades, several global burned area products have been produced and released to the public. However, the accuracy assessment of such products largely depends on the availability of reliable reference data that currently do not exist on a global scale or whose production require a high level of dedication of project resources. The important lack of reference data for the validation
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Geosciences and Environmental Change Science Center

Tracking rates of postfire conifer regeneration vs. deciduous vegetation recovery across the western United States

Postfire shifts in vegetation composition will have broad ecological impacts. However, information characterizing postfire recovery patterns and their drivers are lacking over large spatial extents. In this analysis, we used Landsat imagery collected when snow cover (SCS) was present, in combination with growing season (GS) imagery, to distinguish evergreen vegetation from deciduous vegetation. We
By
Ecosystems, Geosciences and Environmental Change Science Center

Isolating anthropogenic wetland loss by concurrently tracking inundation and land cover disturbance across the Mid-Atlantic Region, U.S.

Global trends in wetland degradation and loss have created an urgency to monitor wetland extent, as well as track the distribution and causes of wetland loss. Satellite imagery can be used to monitor wetlands over time, but few efforts have attempted to distinguish anthropogenic wetland loss from climate-driven variability in wetland extent. We present an approach to concurrently track land cover
By
Geosciences and Environmental Change Science Center

The Landsat Burned Area algorithm and products for the conterminous United States

Complete and accurate burned area map data are needed to document spatial and temporal patterns of fires, to quantify their drivers, and to assess the impacts on human and natural systems. In this study, we developed the Landsat Burned Area (BA) algorithm, an update from the Landsat Burned Area Essential Climate Variable (BAECV) algorithm. Here, we present the BA algorithm and products, changes re
By
Geosciences and Environmental Change Science Center

Mapping forested wetland inundation in the Delmarva Peninsula, USA: Use of deep learning model

The Delmarva Peninsula in the eastern United States is dominated by thousands of small, forested depressional wetlands that are highly sensitive to climate change and climate variability but provide critical ecosystem services. Due to the relatively small size of these depressional wetlands and occurrence under forest canopy cover, it is very challenging to map their inundation status based on ex
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Climate Research and Development Program, Geosciences and Environmental Change Science Center

Spatiotemporal variability of modeled watershed scale surface-depression storage and runoff for the conterminous United States

This study uses the explores the viability of a proxy model calibration strategy through assessment of the spatiotemporal variability of surface-depression storage and runoff generated with the U.S. Geological Survey’s National Hydrologic Model (NHM) infrastructure for hydrologic response units (HRUs; n=109,951) across the conterminous United States (CONUS). Simulated values for each HRU of daily
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Water Resources, Geosciences and Environmental Change Science Center

Influence of multi-decadal land use, irrigation practices and climate on riparian corridors across the Upper Missouri River Headwaters Basin, Montana

The Upper Missouri River Headwaters Basin (36,400 km2) depends on its river corridors to support irrigated agriculture and world-class trout fisheries. We evaluated trends (1984-2016) in riparian wetness, an indicator of riparian condition, in peak irrigation months (June, July, August) for 158 km2 of riparian area across the basin using the Landsat Normalized Difference Wetness Index (NDWI). We f
By
Climate Research and Development Program, Land Change Science Program, Geosciences and Environmental Change Science Center

The potential role of very high-resolution imagery to characterise lake, wetland and stream systems across the Prairie Pothole Region, United States

Aquatic features critical to watershed hydrology range widely in size from narrow, shallow streams to large, deep lakes. In this study we evaluated wetland, lake, and river systems across the Prairie Pothole Region to explore where pan-sharpened high-resolution (PSHR) imagery, relative to Landsat imagery, could provide additional data on surface water distribution and movement, missed by Landsat.
By
Climate Research and Development Program, Land Change Science Program, Geosciences and Environmental Change Science Center

Estimating soil respiration in a subalpine landscape using point, terrain, climate and greenness data

Landscape carbon (C) flux estimates are necessary for assessing the ability of terrestrial ecosystems to buffer further increases in anthropogenic carbon dioxide (CO2) emissions. Advances in remote sensing have allowed for coarse-scale estimates of gross primary productivity (GPP) (e.g., MODIS 17), yet efforts to assess spatial patterns in respiration lag behind those of GPP. Here, we demonstrate
By
Ecosystems, Geosciences and Environmental Change Science Center, Southwest Biological Science Center

It matters when you measure it: Using snow-cover Normalised Difference Vegetation Index (NDVI) to isolate post-fire conifer regeneration

Landsat Normalised Difference Vegetation Index (NDVI) is commonly used to monitor post-fire green-up; however, most studies do not distinguish new growth of conifer from deciduous or herbaceous species, despite potential consequences for local climate, carbon and wildlife. We found that dual season (growing and snow cover) NDVI improved our ability to distinguish conifer tree presence and density.
By
Geosciences and Environmental Change Science Center

Pre-USGS Publications

Vanderhoof, M.K., Alexander, L.C. (2016) The role of lake expansion in altering the wetland landscape of the Prairie Pothole Region. Wetlands, 36(2):309-321, DOI:10.1007/s13157-015-0728-1.
U.S. EPA (2015) Connectivity of Streams and Wetlands to Downstream Waters: A Review and Synthesis of the Scientific Evidence (Final Report). U.S. Environmental Protection Agency, Washington, DC, EPA/600/R-14/475F. (co-author on report)
Vanderhoof, M., Williams, C. (2015) Persistence of evapotranspiration impacts from mountain pine beetle outbreaks in lodgepole pine forests, south-central Rocky Mountains. Agricultural and Forest Meteorology, 200:78-91.
Ghimire, B., Williams, C.A., Collatz, G.J., Vanderhoof, M., Rogan, J., Kulaowski, D., Masek, J.G. (2015) Large carbon release legacy from bark beetle outbreaks across the Western United States. Global Change Biology, 21(8):3087-3101.
Vanderhoof, M., Williams, C.A., Shuai, Y., Jarvis, D., Kulakowski, D., Masek, J. (2014) Albedo-induced radiative forcing from mountain pine beetle outbreaks in forests, south-central Rocky Mountains: magnitude, persistence, and relation to outbreak severity. Biogeosciences, 11:563-575.
Williams, C., Vanderhoof, M., Khomik, M., Ghimire, B. (2014). Post-clearcut dynamics of carbon, water and energy changes in a mid-latitude temperate, deciduous broadleaf forest environment. Global Change Biology, 20(3):992-1007.
Khomik, M., Williams, C.A., Vanderhoof, M.K., MacLean, R., Dillen, S.Y. (2014). On the causes of rising gross ecosystem productivity in a regenerating clearcut environment: leaf area, species composition, or environmental conditions. Tree Physiology, 34:686-700.
Vanderhoof, M., Williams, C.A., Ghimire, B., & Rogan, J. (2013) Impact of mountain pine beetle outbreaks on forest albedo and TOA radiative forcing , as derived from MODIS, Rocky Mountains, USA. Journal of Geophysical Research-Biogeosciences, 118:1461-1471.
Vanderhoof, M., Williams, C.A., Pasay, M., & Ghimire, B. (2013) Controls on the rate of CO2 emission from woody debris in clearcut and coniferous forest environments of central Massachusetts. Biogeochemistry, 114:299-311.
Ghimire, B., Williams, C.A, Collatz, G.J., & Vanderhoof, M. (2012) Fire induced regional carbon emissions and fluxes derived by parameterizing post-fire carbon flux trajectories for western United States forests: Accounting for variation across forest types, fire severity, and carbon pools. Journal of Geophysical Research-Biogeosciences, 117:1-29.
Vanderhoof, M. , B. Holzman & C. Rogers. (2009) Predicting the distribution of perennial pepperweed, Lepidium latifolium, San Francisco Bay Area, California. Invasive Plant Science and Management, 2(3):260-269.

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