Forecasting tidal marsh elevation and habitat change through fusion of Earth observations and a process model
Kristin B. Byrd, Lisamarie Windham-Myers, Thomas Leeuw, Bryan D. Downing, James T. Morris, Matthew C. Ferner
2016, Ecosphere (7)
Reducing uncertainty in data inputs at relevant spatial scales can improve tidal marsh forecasting models, and their usefulness in coastal climate change adaptation decisions. The Marsh Equilibrium Model (MEM), a one-dimensional mechanistic elevation model, incorporates feedbacks of organic and inorganic inputs to project elevations under sea-level rise scenarios. We tested...
An optimal sample data usage strategy to minimize overfitting and underfitting effects in regression tree models based on remotely-sensed data
Yingxin Gu, Bruce K. Wylie, Stephen P. Boyte, Joshua J. Picotte, Danny Howard, Kelcy Smith, Kurtis Nelson
2016, Remote Sensing (8) 1-13
Regression tree models have been widely used for remote sensing-based ecosystem mapping. Improper use of the sample data (model training and testing data) may cause overfitting and underfitting effects in the model. The goal of this study is to develop an optimal sampling data usage strategy for any dataset and...
Integrating remote sensing with species distribution models; Mapping tamarisk invasions using the Software for Assisted Habitat Modeling (SAHM)
Amanda M. West, Paul H. Evangelista, Catherine S. Jarnevich, Nicholas E. Young, Thomas J. Stohlgren, Colin Talbert, Marian Talbert, Jeffrey Morisette, Ryan Anderson
2016, Journal of Visualized Experiments (116)
Early detection of invasive plant species is vital for the management of natural resources and protection of ecosystem processes. The use of satellite remote sensing for mapping the distribution of invasive plants is becoming more common, however conventional imaging software and classification methods have been shown to be unreliable. In...
Exploiting differential vegetation phenology for satellite-based mapping of semiarid grass vegetation in the southwestern United States and northern Mexico
Dennis G. Dye, Barry R. Middleton, John M. Vogel, Zhuoting Wu, Miguel G. Velasco
2016, Remote Sensing (8) 1-33
We developed and evaluated a methodology for subpixel discrimination and large-area mapping of the perennial warm-season (C4) grass component of vegetation cover in mixed-composition landscapes of the southwestern United States and northern Mexico. We describe the methodology within a general, conceptual framework that we identify as the differential vegetation phenology...
Landsat 8: The plans, the reality, and the legacy
Thomas R. Loveland, James R. Irons
2016, Remote Sensing of Environment (185) 1-6
Landsat 8, originally known as the Landsat Data Continuity Mission (LDCM), is a National Aeronautics and Space Administration (NASA)-U.S. Geological Survey (USGS) partnership that continues the legacy of continuous moderate resolution observations started in 1972. The conception of LDCM to the reality of Landsat 8 followed an arduous path extending...
Assessing the role of climate and resource management on groundwater dependent ecosystem changes in arid environments with the Landsat archive
Justin Huntington, Kenneth C. McGwire, Charles Morton, Keirith A. Snyder, Sarah Peterson, Tyler Erickson, Richard G. Niswonger, Rosemary W.H. Carroll, Guy Smith, Richard Allen
2016, Remote Sensing of Environment (185) 186-197
Groundwater dependent ecosystems (GDEs) rely on near-surface groundwater. These systems are receiving more attention with rising air temperature, prolonged drought, and where groundwater pumping captures natural groundwater discharge for anthropogenic use. Phreatophyte shrublands, meadows, and riparian areas are GDEs that provide critical habitat for many sensitive species, especially in arid...
Mapping annual forest cover in sub-humid and semi-arid regions through analysis of landsat and PALSAR imagery
Yuanwei Qin, Xiangming Xiao, Jie Wang, Jinwei Dong, Kayti Ewing, Bruce Hoagland, Daniel J Hough, Todd D Fagin, Zhenhua Zou, George L. Geissler, George Z. Xian, Thomas Loveland
2016, Remote Sensing (8)
Accurately mapping the spatial distribution of forests in sub-humid to semi-arid regions over years is a challenging task and causes difficulty to forest management. Relatively large uncertainties still exist in the spatial distribution of forests and deforestation in the sub-humid and semi-arid regions. Numerous publications have used either optical or...
Multi-index time series monitoring of drought and fire effects on desert grasslands
Miguel L. Villarreal, Laura M. Norman, Steven Buckley, Cynthia S.A. Wallace, Michelle A. Coe
2016, Remote Sensing of Environment (183) 186-197
The Western United States is expected to undergo both extended periods of drought and longer wildfire seasons under forecasted global climate change and it is important to understand how these disturbances will interact and affect recovery and composition of plant communities in the future. In this research paper we describe...
Radiometric calibration updates to the Landsat collection
Esad Micijevic, Obaidul Haque, Nischal Mishra
2016, Conference Paper, Proceedings Volume 9972, Earth Observing Systems XXI
The Landsat Project is planning to implement a new collection management strategy for Landsat products generated at the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center. The goal of the initiative is to identify a collection of consistently geolocated and radiometrically calibrated images across the entire Landsat...
Landsat-7 ETM+ radiometric calibration status
Julia A. Barsi, Brian L. Markham, J. S. Czapla-Myers, Dennis L. Helder, Simon Hook, John R. Schott, Obaidul Haque
2016, Conference Paper, Proceedings Volume 9972, Earth Observing Systems XXI
Now in its 17th year of operation, the Enhanced Thematic Mapper + (ETM+), on board the Landsat-7 satellite, continues to systematically acquire imagery of the Earth to add to the 40+ year archive of Landsat data. Characterization of the ETM+ on-orbit radiometric performance has been on-going since its launch in...
Landsat helps bolster food security
U.S. Geological Survey
2016, Fact Sheet 2016-3060
One of the cruelest, most complex narratives in the world today (2019) is written in the hunger of sub-Saharan Africa. When famine is the only yield from the scorched Earth, survival often depends on a heart-rending calculation—how far is the distant feeding center and how close is the nearest well?...
Landsat brings understanding to the impact of industrialization
U.S. Geological Survey
2016, Fact Sheet 2016-3054
In his 1963 book, “The Quiet Crisis,” former Interior Secretary Stewart Udall lamented what he called the decline of natural resources in the United States under the advancements of industrialization and urbanization....
Urban planners and urban geographers turn to Landsat for answers
U.S. Geological Survey
2016, Fact Sheet 2016-3056
Government organizations that manage and mitigate the continued growth of cities are looking increasingly to the sky for assistance....
Landsat plays a key role in reducing hunger on earth
U.S. Geological Survey
2016, Fact Sheet 2016-3059
The United Nations’ Department of Economic and Social Affairs predicts 9.7 billion people will sit down every day to the global dinner table by 2050. If this prediction is correct, the world is going to need more crops, more livestock, and more efficient and sustainable agricultural practices....
A note on the temporary misregistration of Landsat-8 Operational Land Imager (OLI) and Sentinel-2 Multi Spectral Instrument (MSI) imagery
James C. Storey, David P. Roy, Jeffrey Masek, Ferran Gascon, John L. Dwyer, Mike Choate
2016, Remote Sensing of Environment (186) 121-122
The Landsat-8 and Sentinel-2 sensors provide multi-spectral image data with similar spectral and spatial characteristics that together provide improved temporal coverage globally. Both systems are designed to register Level 1 products to a reference image framework, however, the Landsat-8 framework, based upon the Global Land Survey images, contains residual geolocation...
A satellite model of Southwestern Willow Flycatcher (Empidonax traillii extimus) breeding habitat and a simulation of potential effects of tamarisk leaf beetles (Diorhabda spp.), southwestern United States
James R. Hatten
2016, Open-File Report 2016-1120
Executive Summary The study described in this report represents the first time that a satellite model has been used to identify potential Southwestern Willow Flycatcher (Empidonax traillii extimus) (hereinafter referred to as “flycatcher”) breeding habitat rangewide for 2013–15. Fifty-seven Landsat scenes were required to map the entire range of the flycatcher,...
Landscape effects of wildfire on permafrost distribution in interior Alaska derived from remote sensing
Dana R. N. Brown, M. Torre Jorgenson, Knut Kielland, David L. Verbyla, Anupma Prakash, Joshua C. Koch
2016, Remote Sensing (8) 1-22
Climate change coupled with an intensifying wildfire regime is becoming an important driver of permafrost loss and ecosystem change in the northern boreal forest. There is a growing need to understand the effects of fire on the spatial distribution of permafrost and its associated ecological consequences. We focus on the...
Damage and recovery assessment of the Philippines' mangroves following Super Typhoon Haiyan
Jordan Long, Chandra Giri, Jurgene H. Primavera, Mandar Trivedi
2016, Marine Pollution Bulletin (109) 734-743
We quantified mangrove disturbance resulting from Super Typhoon Haiyan using a remote sensing approach. Mangrove areas were mapped prior to Haiyan using 30 m Landsat imagery and a supervised decision-tree classification. A time sequence of 250 m eMODIS data was used to monitor mangrove condition prior to, and following, Haiyan. Based on...
Estimating carbon sequestration in the piedmont ecoregion of the United States from 1971 to 2010
Jinxun Liu, Benjamin M. Sleeter, Zhiliang Zhu, Linda S. Heath, Zhengxi Tan, Tamara Wilson, Jason T. Sherba, Decheng Zhou
2016, Carbon Balance and Management (11) 1-13
Background: Human activities have diverse and profound impacts on ecosystem carbon cycles. The Piedmont ecoregion in the eastern United States has undergone significant land use and land cover change in the past few decades. The purpose of this study was to use newly available land use and land cover change...
Landsat—The watchman that never sleeps
Steven Young
2016, Fact Sheet 2016-3045
In western North America, where infestations of mountain pine beetles continue to ravage thousands of acres of forest lands, Landsat satellites bear witness to the onslaught in a way that neither humans nor most other satellites can see....
When wildfire damage threatens humans, Landsat provides answers
Steven Young
2016, Fact Sheet 2016-3044
A wildfire’s devastation of forest and rangeland seldom ends when the last embers die. In the western United States, rain on a scorched mountainside can turn ash into mudslides. Debris flows unleashed by rainstorms can put nearby homes into harm’s way and send people scrambling for safety. The infrared capabilities...
Automated mapping of persistent ice and snow cover across the western U.S. with Landsat
David J. Selkowitz, Richard R. Forster
2016, ISPRS Journal of Photogrammetry and Remote Sensing (117) 126-140
We implemented an automated approach for mapping persistent ice and snow cover (PISC) across the conterminous western U.S. using all available Landsat TM and ETM+ scenes acquired during the late summer/early fall period between 2010 and 2014. Two separate validation approaches indicate this dataset provides...
Landsat Science Team: 2016 Winter meeting summary
Todd Schroeder, Thomas Loveland, Mike Wulder, James Irons
2016, The Earth Observer (3) 19-23
No abstract available....
Selection and quality assessment of Landsat data for the North American forest dynamics forest history maps of the US
Karen Schleeweis, Samuel N. Goward, Chengquan Huang, John L. Dwyer, Jennifer L. Dungan, Mary A. Lindsey, Andrew Michaelis, Khaldoun Rishmawi, Jeffery G. Masek
2016, International Journal of Digital Earth (9) 963-980
Using the NASA Earth Exchange platform, the North American Forest Dynamics (NAFD) project mapped forest history wall-to-wall, annually for the contiguous US (1986–2010) using the Vegetation Change Tracker algorithm. As with any effort to identify real changes in remotely sensed time-series, data gaps, shifts in seasonality, misregistration, inconsistent radiometry and...
Comparison of remote sensing indices for monitoring of desert cienegas
Natalie R. Wilson, Laura M. Norman, Miguel L. Villarreal, Leila Gass, Ron Tiller, Andrew Salywon
2016, Arid Land Research and Management (30) 460-478
This research considers the applicability of different vegetation indices at 30 m resolution for mapping and monitoring desert wetland (cienega) health and spatial extent through time at Cienega Creek in southeastern Arizona, USA. Multiple stressors including the risk of decadal-scale drought, the effects of current and predicted global warming, and continued...