Establishing a baseline for regional scale monitoring of eelgrass (Zostera marina) habitat on the lower Alaska Peninsula
Kyle R. Hogrefe, David H. Ward, Tyrone F. Donnelly, Niels Dau
2014, Remote Sensing (6) 12447-12477
Seagrass meadows, one of the world’s most widespread and productive ecosystems, provide a wide range of services with real economic value. Worldwide declines in the distribution and abundance of seagrasses and increased threats to coastal ecosystems from climate change have prompted a need to acquire baseline data for monitoring and...
Landsat 8 operational land imager on-orbit geometric calibration and performance
James C. Storey, Mike Choate, Kenton Lee
2014, Remote Sensing (6) 11127-11152
The Landsat 8 spacecraft was launched on 11 February 2013 carrying the Operational Land Imager (OLI) payload for moderate resolution imaging in the visible, near infrared (NIR), and short-wave infrared (SWIR) spectral bands. During the 90-day commissioning period following launch, several on-orbit geometric calibration activities were performed to refine the...
Landsat 8 thermal infrared sensor geometric characterization and calibration
James C. Storey, Mike Choate, Donald Moe
2014, Remote Sensing (6) 11153-11181
The Landsat 8 spacecraft was launched on 11 February 2013 carrying two imaging payloads: the Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS). The TIRS instrument employs a refractive telescope design that is opaque to visible wavelengths making prelaunch geometric characterization challenging. TIRS geometric calibration thus relied heavily...
Multisensor earth observations to characterize wetlands and malaria epidemiology in Ethiopia
Alemayehu Midekisa, Gabriel Senay, Michael C. Wimberly
2014, Water Resources Research (50) 8791-8806
Malaria is a major global public health problem, particularly in Sub-Saharan Africa. The spatial heterogeneity of malaria can be affected by factors such as hydrological processes, physiography, and land cover patterns. Tropical wetlands, for example, are important hydrological features that can serve as mosquito breeding habitats. Mapping and monitoring of...
On the downscaling of actual evapotranspiration maps based on combination of MODIS and landsat-based actual evapotranspiration estimates
Ramesh K. Singh, Gabriel B. Senay, Naga Manohar Velpuri, Stefanie Bohms, James P. Verdin
2014, Remote Sensing (6) 10483-10509
Downscaling is one of the important ways of utilizing the combined benefits of the high temporal resolution of Moderate Resolution Imaging Spectroradiometer (MODIS) images and fine spatial resolution of Landsat images. We have evaluated the output regression with intercept method and developed the Linear with Zero Intercept (LinZI) method for...
A cross comparison of spatiotemporally enhanced springtime phenological measurements from satellites and ground in a northern U.S. mixed forest
Li Li, Mark D. Schwartz, Zhuosen Wang, Feng Gao, Crystal B. Schaaf, Bin Tan, Jeffrey T. Morisette, Xiaoyang Zhang
2014, IEEE Transactions on Geoscience and Remote Sensing (52) 7513-7526
Cross comparison of satellite-derived land surface phenology (LSP) and ground measurements is useful to ensure the relevance of detected seasonal vegetation change to the underlying biophysical processes. While standard 16-day and 250-m Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation index (VI)-based springtime LSP has been evaluated in previous studies, it remains...
On-orbit performance of the Landsat 8 Operational Land Imager
Esad Micijevic, Kelly Vanderwerff, Pat Scaramuzza, Ron Morfitt, Julia A. Barsi, Raviv Levy
2014, Conference Paper, Proc. SPIE 9218, Earth Observing Systems XIX
The Landsat 8 satellite was launched on February 11, 2013, to systematically collect multispectral images for detection and quantitative analysis of changes on the Earth’s surface. The collected data are stored at the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center and continue the longest archive of...
Examining change detection approaches for tropical mangrove monitoring
Soe W. Myint, Janet Franklin, Michaela Buenemann, Won Kim, Chandra Giri
2014, Photogrammetric Engineering and Remote Sensing (10) 983-993
This study evaluated the effectiveness of different band combinations and classifiers (unsupervised, supervised, object-oriented nearest neighbor, and object-oriented decision rule) for quantifying mangrove forest change using multitemporal Landsat data. A discriminant analysis using spectra of different vegetation types determined that bands 2 (0.52 to 0.6 μm), 5 (1.55 to 1.75...
Spatio-temporal analysis of gyres in oriented lakes on the Arctic Coastal Plain of northern Alaska based on remotely sensed images
Shengan Zhan, Richard A. Beck, Kenneth M. Hinkel, Hongxing Liu, Benjamin M. Jones
2014, Remote Sensing (6) 9170-9193
The formation of oriented thermokarst lakes on the Arctic Coastal Plain of northern Alaska has been the subject of debate for more than half a century. The striking elongation of the lakes perpendicular to the prevailing wind direction has led to the development of a preferred wind-generated gyre hypothesis, while...
Assessment of the spatial extent and height of flooding in Lake Champlain during May 2011, using satellite remote sensing and ground-based information
David M. Bjerklie, Thomas J. Trombley, Scott A. Olson
2014, Scientific Investigations Report 2014-5163
Landsat 5 and moderate resolution imaging spectro-radiometer satellite imagery were used to map the area of inundation of Lake Champlain, which forms part of the border between New York and Vermont, during May 2011. During this month, the lake’s water levels were record high values not observed in the previous...
Characterizing recent and projecting future potential patterns of mountain pine beetle outbreaks in the Southern Rocky Mountains
Lu Liang, Todd Hawbaker, Yanlei Chen, Zhi-Liang Zhu, Peng Gong
2014, Applied Geography (55) 165-175
The recent widespread mountain pine beetle (MPB) outbreak in the Southern Rocky Mountains presents an opportunity to investigate the relative influence of anthropogenic, biologic, and physical drivers that have shaped the spatiotemporal patterns of the outbreak. The aim of this study was to quantify the landscape-level drivers that explained the...
Assessing fire effects on forest spatial structure using a fusion of Landsat and airborne LiDAR data in Yosemite National Park
Van R. Kane, Malcolm P. North, James A. Lutz, Derek J. Churchill, Susan L. Roberts, Douglas F. Smith, Robert J. McGaughey, Jonathan T. Kane, Matthew L. Brooks
2014, Remote Sensing of Environment (151) 89-101
Mosaics of tree clumps and openings are characteristic of forests dominated by frequent, low- and moderate-severity fires. When restoring these fire-suppressed forests, managers often try to reproduce these structures to increase ecosystem resilience. We examined unburned and burned forest structures for 1937 0.81 ha sample areas in Yosemite National Park,...
Marsh dieback, loss, and recovery mapped with satellite optical, airborne polarimetric radar, and field data
Elijah W. Ramsey III, Amina Rangoonwala, Zhaohui Chi, Cathleen E. Jones, Terri Bannister
2014, Remote Sensing of Environment (152) 364-374
Landsat Thematic Mapper and Satellite Pour l'Observation de la Terre (SPOT) satellite based optical sensors, NASA Uninhabited Aerial Vehicle synthetic aperture radar (UAVSAR) polarimetric SAR (PolSAR), and field data captured the occurrence and the recovery of an undetected dieback that occurred between the summers of 2010, 2011, and 2012 in...
The Multi-Resolution Land Characteristics (MRLC) Consortium: 20 years of development and integration of USA national land cover data
James D. Wickham, Collin G. Homer, James E. Vogelmann, Alexa McKerrow, Rick Mueller, Nate Herold, John Coluston
2014, Remote Sensing (6) 7424-7441
The Multi-Resolution Land Characteristics (MRLC) Consortium demonstrates the national benefits of USA Federal collaboration. Starting in the mid-1990s as a small group with the straightforward goal of compiling a comprehensive national Landsat dataset that could be used to meet agencies’ needs, MRLC has grown into a group of 10 USA...
Linking multi-temporal satellite imagery to coastal wetland dynamics and bird distribution
Bradley A. Pickens, Sammy L. King
2014, Ecological Modelling (285) 1-12
Ecosystems are characterized by dynamic ecological processes, such as flooding and fires, but spatial models are often limited to a single measurement in time. The characterization of direct, fine-scale processes affecting animals is potentially valuable for management applications, but these are difficult to quantify over broad extents. Direct predictors are...
Land cover trends dataset, 1973-2000
Christopher E. Soulard, William Acevedo, Roger F. Auch, Terry L. Sohl, Mark A. Drummond, Benjamin M. Sleeter, Daniel G. Sorenson, Steven Kambly, Tamara S. Wilson, Janis L. Taylor, Kristi Sayler, Michael P. Stier, Christopher A. Barnes, Steven C. Methven, Thomas R. Loveland, Rachel Headley, Mark S. Brooks
2014, Data Series 844
The U.S. Geological Survey Land Cover Trends Project is releasing a 1973–2000 time-series land-use/land-cover dataset for the conterminous United States. The dataset contains 5 dates of land-use/land-cover data for 2,688 sample blocks randomly selected within 84 ecological regions. The nominal dates of the land-use/land-cover maps are 1973, 1980, 1986, 1992,...
Mapping and monitoring Mount Graham red squirrel habitat with Lidar and Landsat imagery
James R. Hatten
2014, Ecological Modelling (289) 106-123
The Mount Graham red squirrel (Tamiasciurus hudsonicus grahamensis) is an endemic subspecies located in the Pinaleño Mountains of southeast Arizona. Living in a conifer forest on a sky-island surrounded by desert, the Mount Graham red squirrel is one of the rarest mammals in North America. Over the last two decades,...
Performance and effects of land cover type on synthetic surface reflectance data and NDVI estimates for assessment and monitoring of semi-arid rangeland
Edward M. Olexa, Rick L Lawrence
2014, International Journal of Applied Earth Observation and Geoinformation (30) 30-41
Federal land management agencies provide stewardship over much of the rangelands in the arid andsemi-arid western United States, but they often lack data of the proper spatiotemporal resolution andextent needed to assess range conditions and monitor trends. Recent advances in the blending of com-plementary, remotely sensed data could provide public...
Bringing an ecological view of change to Landsat-based remote sensing
Robert E. Kennedy, Serge Andrefouet, Warren Cohen, Cristina Gomez, Patrick Griffiths, Martin Hais, Sean Healey, Eileen H. Helmer, Patrick Hostert, Mitchell Lyons, Garrett Meigs, Dirk Pflugmacher, Stuart Phinn, Scott Powell, Peter Scarth, Sen Susmita, Todd A. Schroeder, Annemarie Schneider, Ruth Sonnenschein, James Vogelmann, Michael A. Wulder, Zhe Zhu
2014, Frontiers in Ecology and the Environment (12) 339-346
When characterizing the processes that shape ecosystems, ecologists increasingly use the unique perspective offered by repeat observations of remotely sensed imagery. However, the concept of change embodied in much of the traditional remote-sensing literature was primarily limited to capturing large or extreme changes occurring in natural systems, omitting many more...
Characterization of potential mineralization in Afghanistan: four permissive areas identified using imaging spectroscopy data
Trude King, Byron R. Berger, Michaela R. Johnson
2014, Open-File Report 2014-1071
As part of the U.S. Geological Survey and Department of Defense Task Force for Business and Stability Operations natural resources revitalization activities in Afghanistan, four permissive areas for mineralization, Bamyan 1, Farah 1, Ghazni 1, and Ghazni 2, have been identified using imaging spectroscopy data. To support economic development, the...
Mapping forest height in Alaska using GLAS, Landsat composites, and airborne LiDAR
Birgit Peterson, Kurtis Nelson
2014, Remote Sensing (6) 12409-12426
Vegetation structure, including forest canopy height, is an important input variable to fire behavior modeling systems for simulating wildfire behavior. As such, forest canopy height is one of a nationwide suite of products generated by the LANDFIRE program. In the past, LANDFIRE has relied on a combination of field observations...
Landsat and water: case studies of the uses and benefits of landsat imagery in water resources
Larisa O. Serbina, Holly M. Miller
2014, Open-File Report 2014-1108
The Landsat program has been collecting and archiving moderate resolution earth imagery since 1972. The number of Landsat users and uses has increased exponentially since the enactment of a free and open data policy in 2008, which made data available free of charge to all users. Benefits from the information...
A mapping and monitoring assessment of the Philippines' mangrove forests from 1990 to 2010
Jordan Long, Darrell Napton, Chandra Giri, Jordan Graesser
2014, Journal of Coastal Research (30) 260-271
Information on the present condition and spatiotemporal dynamics of mangrove forests is needed for land-change studies and integrated natural resources planning and management. Although several national mangrove estimates for the Philippines exist, information is unavailable at sufficient spatial and thematic detail for change analysis. Historical and contemporary mangrove distribution maps...
Mapping mountain pine beetle mortality through growth trend analysis of time-series landsat data
Lu Liang, Yanlei Chen, Todd Hawbaker, Zhi-Liang Zhu, Peng Gong
2014, Remote Sensing (6) 5696-5716
Disturbances are key processes in the carbon cycle of forests and other ecosystems. In recent decades, mountain pine beetle (MPB; Dendroctonus ponderosae) outbreaks have become more frequent and extensive in western North America. Remote sensing has the ability to fill the data gaps of long-term infestation monitoring, but the elimination...
Spatial variability and landscape controls of near-surface permafrost within the Alaskan Yukon River Basin
Neal J. Pastick, M. Torre Jorgenson, Bruce K. Wylie, Joshua R. Rose, Matthew Rigge, Michelle Ann Walvoord
2014, Journal of Geophysical Research: Biogeosciences (119) 1244-1265
The distribution of permafrost is important to understand because of permafrost's influence on high-latitude ecosystem structure and functions. Moreover, near-surface (defined here as within 1 m of the Earth's surface) permafrost is particularly susceptible to a warming climate and is generally poorly mapped at regional scales. Subsequently, our objectives were to...