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Eyes on Earth

Eyes on Earth is a podcast on remote sensing, Earth observation, land change and science, brought to you by the USGS Earth Resources Observation and Science (EROS) Center.

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Celebrate Landsat's 50-Year Legacy

Explore the Landsat Legacy

Earth Resources Observation and Science (EROS) Center

At the USGS EROS Center, we study land change and produce land change data products used by researchers, resource managers, and policy makers across the nation and around the world. We also operate the Landsat satellite program with NASA, and maintain the largest civilian collection of images of the Earth’s land surface in existence, including tens of millions of satellite images.

Eyes on Earth

Logo with man and woman standing in bright atrium at EROS

The close proximity of South Dakota State University and EROS in eastern South Dakota has led to a variety of collaborations. Hear about some of them in this episode of our remote sensing podcast.

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Image of the Week

the world with Landsat image of Tulare Basin. text reads "Tulare Basin refills"

A winter of heavy rain causes flooding in California's Tulare Basin, threatening cropland. A series of images from Landsat show the extent of the floodwaters in dark blue or black.

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EROS Quick Links

Find frequently visited webpages below.

News

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Tree Canopy Cover Product Added to National Land Cover Database

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RCMAP Adds Tree Data to Help ... Sage-Grouse?

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EROS Resumes Daily Public Tours

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Publications

Satellite precipitation bias estimation and correction using in situ observations and climatology isohyets for the MENA region

The availability of reliable gridded precipitation datasets is limited around the world, especially in arid regions. In this study, we utilized observations from satellite-based precipitation data and in situ rain gauge observations to determine a suitable precipitation dataset in the Middle East & North Africa (MENA) region. First, we evaluated seven different precipitation products using rain ga
Authors
Stefanie Kagone, Naga Manohar Velpuri, Kul Bikram Khand, Gabriel B. Senay, Michael R. Van der Valk, Daniel J. Goode, Salam Abu Hantash, Thair M. Al-Momani, Nanor Momejian, Jack R. Eggleston
By
Core Science Systems Mission Area, Water Resources Mission Area, Earth Resources Observation and Science (EROS) Center , Pennsylvania Water Science Center

ECCOE Landsat quarterly Calibration and Validation report—Quarter 4, 2022

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
Authors
Md Obaidul Haque, Rajagopalan Rengarajan, Mark Lubke, Md Nahid Hasan, Ashish Shrestha, Fatima Tuz Zafrin Tuli, Jerad L. Shaw, Alex Denevan, Shannon Franks, Esad Micijevic, Michael J. Choate, Cody Anderson, Kurt Thome, Ed Kaita, Julia Barsi, Raviv Levy, Jeff Miller
By
Earth Resources Observation and Science (EROS) Center

Spatiotemporal patterns and environmental drivers of eastern redcedar (Juniperus virginiana) abundance along the Missouri River, USA

Context: Changes in disturbance regimes, including reductions in flooding and geomorphic dynamism from dam construction and flow regulation, have facilitated invasion by eastern redcedar (Juniperus virginiana L.), an upland tree species, in the understory of floodplain forests along the Missouri National Recreational River (MNRR).Objectives: Our aim was to determine the spatiotemporal patterns and
Authors
Nadeesha D. Illeperuma, Mark D. Dixon, Caroline M. Elliott, Kimberly I. Magnuson, Miyuraj H H. Withanage, James E. Vogelmann
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Ecosystems Mission Area, Columbia Environmental Research Center, Earth Resources Observation and Science (EROS) Center
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Science

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Agricultural Landscape in Senegal in 1984

Case Study: Land Cover Modification

This work presents West Africa’s changing landscapes through land use and land cover maps for three periods in time. The changes between each period represent one of two main types of landscape change: land cover conversions and land cover modifications.
By
Earth Resources Observation and Science (EROS) Center
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Case Study: Land Cover Modification

This work presents West Africa’s changing landscapes through land use and land cover maps for three periods in time. The changes between each period represent one of two main types of landscape change: land cover conversions and land cover modifications.
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Tall man stands next to woman in the bright EROS atrium

Eyes on Earth Episode 94 – EROS 50th: Collaborations with SDSU

South Dakota State University, a land grant university less than an hour from EROS, has had links to Landsat and EROS throughout their existence.
By
Core Science Systems Mission Area, Earth Resources Observation and Science (EROS) Center , EROS CalVal Center of Excellence (ECCOE), EROS History Project, Landsat Legacy, Landsat Missions
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Eyes on Earth Episode 94 – EROS 50th: Collaborations with SDSU

South Dakota State University, a land grant university less than an hour from EROS, has had links to Landsat and EROS throughout their existence.
Learn More
link
Land Productivity

Land Productivity

In contrast to the discrete land use and land cover classes, land productivity is a continuous variable, which represents land cover through vegetation density and vigor. Land productivity can indicate the land’s ability to support and sustain life and is useful for identifying land degradation. A common measure of land productivity is derived from time series of the Normalized Difference...
By
Earth Resources Observation and Science (EROS) Center
link

Land Productivity

In contrast to the discrete land use and land cover classes, land productivity is a continuous variable, which represents land cover through vegetation density and vigor. Land productivity can indicate the land’s ability to support and sustain life and is useful for identifying land degradation. A common measure of land productivity is derived from time series of the Normalized Difference...
Learn More
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