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Effect of water delivery and irrigation for riparian restoration in the Colorado River Delta, Mexico
Pamela L. Nagler, Ibrahima Sall, Martha Gomez-Sapiens, Karl W. Flessa, Armando Barreto-Muñoz, Kamel Didan
2025, Restoration Ecology (33)
Along Mexico's arid Colorado River Delta, the riparian corridor lacks water due to a reduction in frequent flows, climate change, human infrastructure, and altered riparian landcover from disturbances to invasive species, fire, and high soil and water salinities, which have led to declines in riparian plant health in recent decades....
ECCOE Landsat quarterly Calibration and Validation report—Quarter 2, 2024
Md Obaidul Haque, Nahid Hasan, Ashish Shrestha, Rajagopalan Rengarajan, Mark Lubke, Jerad L. Shaw, Kathryn Ruslander, Esad Micijevic, Michael J. Choate, Cody Anderson, Jeff Clauson, Kurt Thome, Ed Kaita, Raviv Levy, Jeff Miller, Leibo Ding
2024, Open-File Report 2024-1077
Executive Summary The U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote-sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsat Cal/Val Team continually...
System characterization report on the Earth Surface Mineral Dust Source Investigation (EMIT) sensor
Mahesh Shrestha, Aparajithan Sampath, Minsu Kim, Seonkyung Park
2024, Open-File Report 2021-1030-R
Executive Summary This report addresses system characterization of the Earth Surface Mineral Dust Source Investigation (EMIT) sensor, an imaging spectrometer developed by the National Aeronautics and Space Administration. This report is part of a series of system characterization reports produced and delivered by the U.S. Geological Survey Earth Resources Observation and...
A global view of remote sensing of rangelands: Evolution, applications, future pathways
Matthew Reeves, Robert A. Washington-Allen, Jay Angerer, E. Raymond Hunt, Wasantha Kulawardhana, Lalit Kumar, Tatiana Loboda, Thomas Loveland, Graciela Metternicht, R. Douglas Ramsey, Joanne V. Hall, Trenton David Benedict, Pedro Millikan, Angus Retallack, Arjan J.H. Meddens, William K. Smith, Wen Zhang
Prasad Thenkabail, editor(s)
2024, Book chapter, Remote sensing handbook
The application of digital remote sensing to rangelands is as long as the history of digital remote sensing itself. Before the launch of the Earth Resources Technology Satellite (ERTS) – later renamed Landsat, scientists were evaluating the use of multispectral aerial imagery to map soils and range vegetation (Yost and...
Differentiating cheatgrass and medusahead phenological characteristics in western United States rangelands
Trenton David Benedict, Stephen P. Boyte, Devendra Dahal
2024, Remote Sensing (16)
Expansions in the extent and infestation levels of exotic annual grass (EAG) within the rangelands of the western United States are well documented. Land managers are tasked with developing plans to limit EAG spread and prevent irreversible ecosystem deterioration. The most common EAG species and the subject of extensive study...
Detecting trajectories of regime shifts and loss of resilience in coastal wetlands using remote sensing
Melinda Martinez, Marcelo L Ardon, Joshua Gray
2024, Ecosystems (27) 1060-1075
Many freshwater forested wetlands along the southeastern United States coastline are rapidly transitioning from forest to marsh or open water, due to climate change-related disturbances. Recent studies have found early warning signals (EWS) of regime shifts in other ecosystems, but it is unclear if these can be detected for coastal...
Landsat geometric and radiometric calibration and characterization
Jerad Shaw, Cody Anderson, Mike Choate, Esad Micijevic
2024, Fact Sheet 2024-3039
The U.S. Geological Survey (USGS) Earth Resources Observation and Science Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote-sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsat Cal/Val team...
Tracking mangrove condition changes using dense Landsat time series
Xiucheng Yang, Zhe Zhu, Kevin D. Kroeger, Shi Qiu, Scott Covington, Jeremy R. Conrad, Zhiliang Zhu
2024, Remote Sensing of Environment (315)
Mangroves in tropical and subtropical coasts are subject to episodic disturbances, notably from severe storms, leading to potential widespread vegetation mortality. The ability of vegetation to recover varies, and with disturbances becoming more frequent and severe, it is vital to track and project vegetation responses to support management and policy...
ECCOE Landsat quarterly Calibration and Validation report—Quarter 1, 2024
Md Obaidul Haque, Nahid Hasan, Ashish Shrestha, Rajagopalan Rengarajan, Mark Lubke, Jerad L. Shaw, Kathryn Ruslander, Esad Micijevic, Michael J. Choate, Cody Anderson, Jeff Clauson, Kurt Thome, Julia Barsi, Ed Kaita, Raviv Levy, Jeff Miller, Leibo Ding
2024, Open-File Report 2024-1058
Executive Summary The U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote-sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsat Cal/Val Team continually...
Hyperspectral imaging predicts differences in carbon and nitrogen status among representative biocrust functional groups of the Colorado Plateau
Dong Yan, Sasha C. Reed, William A. Rutherford, Mostafa Javadian, Robin H. Reibold, Miguel L. Villarreal, Benjamin Poulter, Shujun Song, William K. Smith
2024, Journal of Geophysical Research: Biogeosciences (129)
Biological soil crusts (biocrusts) are widespread soil photosynthetic communities covering about 12% of Earth's land surface and play crucial roles in terrestrial carbon (C) and nitrogen (N) cycles, yet scalable quantifications of biocrusts and their biogeochemical contributions are notably lacking. While remote sensing has enormous potential to assess, scale, and...
The effect of drying boreal lakes on plants, soils, and microbial communities in lake margin habitats
Vijay P. Patil, Jack McFarland, Kimberly Wickland, Kristen L. Manies, Mark Winterstein, Teresa N. Hollingsworth, Eugénie S. Euskirchen, Mark Waldrop
2024, JGR Biogeosciences (129)
Decadal scale lake drying in interior Alaska results in lake margin colonization by willow shrub and graminoid vegetation, but the effects of these changes on plant production, biodiversity, soil properties, and soil microbial communities are not well known. We studied changes in soil organic carbon (SOC) and nitrogen (N) storage,...
Mapping eelgrass cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery
David C. Douglas, Michael D. Fleming, Vijay P. Patil, David H. Ward
2024, Preprint
Two eelgrass (Zostera marina) maps of Izembek Lagoon, Alaska, were generated by first creating maps of spectrally unique classes from each of two Sentinel-2 satellite images collected on July 1, 2016, and August 14, 2020, then attributing the spectral classes with information about eelgrass conditions based on field data. Maps...
Assessment of long-term changes in surface-water extent within Klamath Marsh, south-central Oregon, 1985–2021
Joseph J. Kennedy, Henry M. Johnson, Stephen B. Gingerich
2024, Scientific Investigations Report 2024-5033
The annual maximum extent of surface water in Klamath Marsh has naturally fluctuated in response to periods of wet and dry conditions in the surrounding basin. Field observations during the 2010s indicate that the annual maximum extent of surface water has been declining and the marsh is not responding to...
Crop type classification, trends, and patterns of central California agricultural fields from 2005 to 2020
Britt Windsor Smith, Christopher E. Soulard, Jessica J. Walker
2024, Agrosystems, Geosciences & Environment (7)
California produces many key agricultural products in the United States. Current geospatial agricultural datasets are limited in mapping accuracy, spatial context, or observation period. This study uses machine learning and high-resolution imagery to produce a time series of crop maps to assess crop type trends and patterns across central California...
On connecting hydro-social parameters to vegetation greenness differences in an evolving groundwater-dependent ecosystem
Matthew R. Lurtz, Ryan R. Morrison, Pamela L. Nagler
2024, Remote Sensing (16)
Understanding groundwater-dependent ecosystems (i.e., areas with a relatively shallow water table that plays a major role in supporting vegetation health) is key to sustaining water resources in the western United States. Groundwater-dependent ecosystems (GDEs) in Colorado have non-pristine temporal and spatial patterns, compared to agro-ecosystems, which make it difficult...
A comparative analysis of OpenET for evaluating evapotranspiration in California almond orchards
Kyle Knipper, Martha Anderson, Nicolas Bambach, Forrest Melton, Zac Ellis, Yun Yang, J. M. Volk, Andrew J. McElrone, William P. Kustas, Matthew Roby, Will Carrara, Sebastian Castro, Ayse Kilic, Joshua B. Fisher, Anderson Ruhoff, Gabriel B. Senay, Charles Morton, Sebastian Saa, Richard G. Allen
2024, Agricultural and Forest Meteorology (355)
The almond industry in California faces water management challenges that are being exacerbated by droughts, climate change, and groundwater sustainability legislation. The Tree-crop Remote sensing of Evapotranspiration eXperiment (T-REX) aims to explore opportunities to improve precision irrigation management for woody perennial cropping systems. Almond orchards in the California Central Valley...
Application of normalized radar backscatter and hyperspectral data to augment rangeland vegetation fractional classification
Matthew B. Rigge, Brett Bunde, Kory Postma, Simon Oliver, Norman Mueller
2024, Remote Sensing (16)
Rangeland ecosystems in the western United States are vulnerable to climate change, fire, and anthropogenic disturbances, yet classification of rangeland areas remains difficult due to frequently sparse vegetation canopies that increase the influence of soils and senesced vegetation, the overall abundance of senesced vegetation, heterogeneity of...
Greenness and actual evapotranspiration in the unrestored riparian corridor of the Colorado River Delta in response to in-channel water deliveries in 2021 and 2022
Pamela L. Nagler, Ibrahima Sall, Martha Gomez-Sapiens, Armando Barreto-Muñoz, Christopher J. Jarchow, Karl W. Flessa, Kamel Didan
2024, Remote Sensing (16)
Natural resource managers may utilize remotely sensed data to monitor vegetation within their decision-making frameworks for improving habitats. Under binational agreements between the United States and Mexico, seven reaches were targeted for riparian habitat enhancement. Monitoring was carried out using Landsat 8 16-day intervals of the two-band enhanced vegetation index...
ECCOE Landsat quarterly Calibration and Validation report—Quarter 4, 2023
Md Obaidul Haque, Rajagopalan Rengarajan, Mark Lubke, Nahid Hasan, Ashish Shrestha, Jerad L. Shaw, Alex Denevan, Kathryn Ruslander, Esad Micijevic, Michael J. Choate, Cody Anderson, Kurt Thome, Julia Barsi, Ed Kaita, Raviv Levy, Jeff Miller, Leibo Ding
2024, Open-File Report 2024-1026
Executive SummaryThe U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote-sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsat Cal/Val Team continually...
Concept of a satellite cross-calibration radiometer for in-orbit calibration of commercial optical satellites
Medhavy Thankappan, Jon Christopherson, Simon John Cantrell, Robert Ryan, Mary Pagnutti, Courtney Bright, Denis Naughton, Kathryn Lynn Ruslander, Lan-Wei Wang, David Hudson, Jerad Shaw, Shankar N. Ramaseri Chandra, Cody Anderson
2024, Remote Sensing (16)
The satellite Earth observation (EO) sector is burgeoning with hundreds of commercial satellites being launched each year, delivering a rich source of data that could be exploited for societal benefit. Data streams from the growing number of commercial satellites are of variable quality, limiting the potential for their combined use...
Intercomparison of same-day remote sensing data for measuring winter cover crop biophysical traits
Alison Thieme, Kusuma Prabhakara, Jyoti Jennewein, Brian T Lamb, Gregory T. McCarty, W. Dean Hively
2024, Sensors (24)
Winter cover crops are planted during the fall to reduce nitrogen losses and soil erosion and improve soil health. Accurate estimations of winter cover crop performance and biophysical traits including biomass and fractional vegetative groundcover support accurate assessment of environmental benefits. We examined the comparability of measurements between ground-based and...
SSEBop evapotranspiration estimates using synthetically derived Landsat data from the continuous change detection and classification algorithm
Mikael Peter Hiestand, Heather J. Tollerud, W. Chris Funk, Gabriel B. Senay, MacKenzie Friedrichs, Kate Fickas
2024, Remote Sensing (16)
The operational Simplified Surface Energy Balance (SSEBop) model has been utilized to generate gridded evapotranspiration data from Landsat images. These estimates are primarily driven by two sources of information: reference evapotranspiration and Landsat land surface temperature (LST) values. Hence, SSEBop is limited by the availability of Landsat data. Here,...
ECCOE Landsat quarterly Calibration and Validation report—Quarter 3, 2023
Md Obaidul Haque, Rajagopalan Rengarajan, Mark Lubke, Nahid Hasan, Ashish Shrestha, Jerad L. Shaw, Alex Denevan, Kathryn Ruslander, Esad Micijevic, Michael J. Choate, Cody Anderson, Kurt Thome, Ed Kaita, Julia Barsi, Raviv Levy, Jeff Miller, Leibo Ding
2024, Open-File Report 2024-1017
Executive SummaryThe U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote-sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsat Cal/Val Team continually...
Snow-cover remote sensing of conifer tree recovery in high-severity burn patches
Casey Menick, Wade T. Tinkham, Chad Hoffman, Melanie K. Vanderhoof, Jody C. Vogeler
2024, Remote Sensing of Environment (305)
The number of large, high-severity wildfires has been increasing across the western United States over the last several decades. It is not fully understood how changes in the frequency of large, severe wildfires may impact the resilience of conifer forests,...
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U.S. Geological Survey
2024, Fact Sheet 2024-3005
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