Landsat collection 2
U.S. Geological Survey
2021, Fact Sheet 2021-3002
Landsat Collections ensure that all Landsat Level-1 data are consistently calibrated and processed and retain traceability of data quality provenance. Landsat Collection 2 introduces improvements that harness recent advancements in data processing, algorithm development, data access, and distribution capabilities. Collection 2 includes Landsat Level-1 data for all sensors since 1972...
Comparison of simple averaging and latent class modeling to estimate the area of land cover in the presence of reference data variability
Dingfan Xing, Stephen V. Stehman, Giles M Foody, Bruce Pengra
2021, Land (10)
Estimates of the area or percent area of the land cover classes within a study region are often based on the reference land cover class labels assigned by analysts interpreting satellite imagery and other ancillary spatial data. Different analysts interpreting the same spatial unit will not always...
Regional crop water use assessment using Landsat-derived evapotranspiration
Arun Bawa, Gabriel B. Senay, Sandeep Kumar
2021, Hydrologic Processes (35)
Reliable information on water use and availability at basin and field scales are important to ensure the optimized constructive uses of available water resources. This study was conducted with the specific objective to estimate Landsat-based actual evapotranspiration (ETa) using the Operational Simplified Surface Energy Balance (SSEBop) model across the state...
Investigation of land surface phenology detections in shrublands using multiple scale satellite data
Dailiang Peng, Yan Wang, George Z. Xian, Alfredo R Huete, Wenjiang Huang, Miaogen Shen, Fumin Wang, Le Yu, Liangyun Liu, Qiaoyun Xie, Lingling Liu, Xiaoyang Zhang
2021, Remote Sensing of Environment (252)
Shrublands occupy about 13% of the global land surface, contain about one-third of the biodiversity, store about half of the global terrestrial carbon, and provide many ecosystem services to a large amount of world's human population and livestock. Because phenology is...
An update on the 2020 activities of the Landsat Science Team
Jeffery Masek, Christopher J. Crawford
2021, Newsletter
No abstract available....
Tracking rates of postfire conifer regeneration vs. deciduous vegetation recovery across the western United States
Melanie K. Vanderhoof, Todd Hawbaker, Andrea Ming Ku, Kyle Merriam, Erin Berryman, Megan Cattau
2021, Ecological Applications (31)
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,...
Landsat 9 mission update and status
Brian Markham, Del Jenstrom, Steven Pszcolka, Vicki Dulski, Jason Hair, Joel McCorkel, Geir Kvaran, Kurtis Thome, Matthew Montanaro, Jeffery Pedelty, Cody Anderson, Michael J. Choate, Julia Barsi, Ed Kaita, Jeffery Miller
2021, Conference Paper, Proceedings volume 11501, Earth observing systems XXV
Landsat 9 is currently undergoing testing at the integrated observatory level in preparation for launch from Vandenberg Air Force Base in 2021. Landsat 9 will replace Landsat 7 in orbit, 8 days out of phase with Landsat 8. Landsat 9 is largely a copy of Landsat 8 in terms of...
Estimating inundation of small waterbodies with sub-pixel analysis of Landsat imagery: Long-term trends in surface water area and evaluation of common drought indices
Ibrahima Sall, Christopher J. Jarchow, Brent H. Sigafus, Lisa A Eby, Michael James Forzley, Blake R. Hossack
2021, Remote Sensing in Ecology and Conservation (7) 109-124
Small waterbodies are numerically dominant in many landscapes and provide several important ecosystem services, but automated measurement of waterbodies smaller than a standard Landsat pixel (0.09 ha) remains challenging. To further evaluate sub‐Landsat pixel techniques for estimating inundation extent of small waterbodies (basin area: 0.06–1.79 ha), we used a partial spectral unmixing...
Carbon stock losses and recovery observed for a mangrove ecosystem following a major hurricane in Southwest Florida
Elitsa I. Peneva-Reed, Ken Krauss, Eric L. Bullock, Zhiliang Zhu, Victoria Woltz, Judith Z. Drexler, Jeremy R. Conrad, Stephen V. Stehman
2021, Estuarine, Coastal and Shelf Science (248)
Studies integrating mangrove in-situ observations and remote sensing analysis for specific sites often lack precise estimates of carbon stocks over time frames that include disturbance events. This study quantifies change in mangrove area from 1985 to 2018 with Landsat time series analysis, estimates above and belowground stored carbon using field data, and...
Landsat surface reflectance validation site selection
Emily M. Maddox, Landon Douglas Zavesky
2020, Conference Paper, IGARSS 2020 - 2020 IEEE international geoscience and remote sensing symposium
An investigation was conducted to determine optimal locations within the continental United States for insitu measurements to validate the U.S. Landsat Analysis Ready Data (ARD) Surface Reflectance product. Site assessment involved analysis of aerosol optical depth, precipitable water vapor, land cover, cloud cover, and elevation models. Nineteen sites were selected...
Mapping Phragmites australis live fractional cover in the lower Mississippi River Delta, Louisiana
Amina Rangoonwala, Rebecca J. Howard, Elijah W. Ramsey III
2020, Open-File Report 2020-1131
In response to a co-occurring non-native scale infestation and Phragmites australis dieback in southeast Louisiana, normalized difference vegetation index (NDVI) satellite mapping was implemented to track P. australis condition in the lower Mississippi River Delta. While the NDVI mapping successfully documented relative condition changes, identification of cause required a quantitative-biophysical...
New operational national satellite burned area product
Todd Hawbaker, Melanie K. Vanderhoof, Gail L. Schmidt, Yen-Ju G. Beal, Joshua J. Picotte, Joshua Takacs, Jeff T. Falgout, John L. Dwyer
2020, Report
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...
Alaska and Landsat
U.S. Geological Survey
2020, Fact Sheet 2020-3068
Alaska’s landscapes are changing at a more rapid rate than those of the lower 48. Its large size makes the collection of aerial surveys—a biannual occurrence for the conterminous United States—cost-prohibitive. That means the Landsat series of land imaging satellites offer the only publicly available, up-to-date imagery of land conditions...
Maine and Landsat
U.S. Geological Survey
2020, Fact Sheet 2020-3066
Maine is a place of rocky coastlines, of rich maritime history symbolized by lighthouses dotting the ocean bluffs, and of wondrous nature areas like the granite and spruce islands of Acadia National Park. But Maine is a place of changes, too. Climate variability has brought the state heavier and more...
Ohio and Landsat
U.S. Geological Survey
2020, Fact Sheet 2020-3065
In Ohio, remote-sensing systems such as Landsat play an important role in monitoring natural resources and informing management decisions on everything from dangerous freshwater algal blooms to gypsy moth defoliation and more. Landsat imagery underpins public and private sector decisions in Ohio and across the Nation for effective adaptation to...
New Mexico and Landsat
U.S. Geological Survey
2020, Fact Sheet 2020-3060
New Mexico relies on observations from the Landsat series of satellites operated by the U.S. Geological Survey. Data from Landsat also assist New Mexico in managing its precious water resources for agriculture, recreation, and industrial and community consumption. Landsat supports a variety of public and private sector decisions across New...
Minnesota and Landsat
U.S. Geological Survey
2020, Fact Sheet 2020-3059
Landsat land-imaging satellites underpin public and private sector decisions in the Minnesota and across the Nation for effective adaptation to changing landscapes. Those decisions often lead to enhanced agricultural productivity, smart urban development, and sustainable forest management. Landsat also enables more accurate inland lake water-quality monitoring, increased aster resilience and...
Analyzing vegetation change in a sagebrush ecosystem using long-term field observations and Landsat imagery in Wyoming
Hua Shi, Collin Homer, Matthew B. Rigge, Kory Postma, George Z. Xian
2020, Ecosphere (11)
The importance of monitoring shrublands to detect and understand changes through time is increasingly recognized as critical to management. This research focuses on ecological change observed over 10 yr of field observation at 126 plots and over 35 yr of the Landsat archive in a shrubland ecosystem. Field data consisting of the...
Development of a standard database of reference sites for validating global burned area products
Magí Franquesa, Melanie K. Vanderhoof, Dimitris Stavrakoudis, Ioannis Gitas, Ekhi Roteta, Marc Padilla, Emilio Chuvieco
2020, Earth System Science Data journal (12) 3229-3246
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...
The new Landsat Collection-2 Digital Elevation Model
Shannon Franks, James C. Storey, Rajagopalan Rengarajan
2020, Remote Sensing (12)
The Landsat Collection-2 distribution introduces a new global Digital Elevation Model (DEM) for scene orthorectification. The new global DEM is a composite of the latest and most accurate freely available DEM sources and will include reprocessed Shuttle Radar Topographic Mission (SRTM) data (called NASADEM), high-resolution stereo optical data (ArcticDEM), a...
Using remote sensing products to predict recovery of vegetation across space and time following energy development
Adrian P. Monroe, Cameron L. Aldridge, Michael O'Donnell, Daniel Manier, Collin Homer, Patrick J. Anderson
2020, Ecological Indicators (110)
Using localized studies to understand how ecosystems recover can create uncertainty in recovery predictions across landscapes. Large archives of remote sensing data offer opportunities for quantifying the spatial and temporal factors influencing recovery at broad scales and predicting recovery. For example, energy production is a widespread and expanding land use...
Keeping up with the times: Mapping range-wide habitat suitability for endangered species in a changing environment
Eamon J. Harrity, Bryan S. Stevens, Courtney J. Conway
2020, Biological Conservation (250)
Biologists and policy-makers have the difficult task of allocating limited resources to habitat conservation and management for endangered species in the face of changing environmental conditions. Satellite remote sensing can inform conservation because it is an efficient means to obtain environmental data over broad spatial and temporal extents. Yet, the...
Climate sensitivity of water use by riparian woodlands at landscape scales
Marc Mayes, Kelly K. Caylor, Michael B. Singer, John C Stella, Dar Roberts, Pamela L. Nagler
2020, Hydrological Processes (34) 4884-4903
Semi‐arid riparian woodlands face threats from increasing extractive water demand and climate change in dryland landscapes worldwide. Improved landscape‐scale understanding of riparian woodland water use (evapotranspiration, ET) and its sensitivity to climate variables is needed to strategically manage water resources, as well as to create successful ecosystem conservation and restoration...
Four decades of land-cover change on the Kenai Peninsula, Alaska: Detecting disturbance-influenced vegetation shifts using landsat legacy data
Carson Baughman, Rachel A. Loehman, Dawn R. Magness, Lisa Saperstein, Rosemary L. Sherriff
2020, Land (9)
Across Alaska’s Kenai Peninsula, disturbance events have removed large areas of forest over the last half century. Simultaneously, succession and landscape evolution have facilitated forest regrowth and expansion. Detecting forest loss within known pulse disturbance events is often straightforward given that reduction in tree cover is a...
A novel approach for next generation water use mapping using Landsat and Sentinel-2 satellite data
Ramesh Singh, Kul Bikram Khand, Stefanie Kagone, Matthew Schauer, Gabriel Senay, Zhuoting Wu
2020, Hydrological Sciences Journal (65) 2508-2519
Evapotranspiration (ET) is needed in a range of applications in hydrology, climatology, ecology, and agriculture. Remote sensing-based estimation is the only viable and economical method for ET estimation over large areas. The current Landsat satellites provide images every 16 days limiting the ability to capture biophysical changes affecting...