L. E. Rocchio

Science Systems and Applications (United States)

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Samuel N. Goward

University of Maryland, College Park

J. G. Masek

Prague University of Economics and Business

Darrel L. Williams

Global Science & Technology (United States)

Terry Arvidson

Lockheed Martin (United States)

J. B. Blair

Goddard Space Flight Center

M. A. Hofton

University of Maryland, College Park

James R. Irons

Goddard Space Flight Center

David G. Williams

University of Wyoming

R. Dubayah

University of Maryland, College Park

Carol A. Russell

Science Systems and Applications (United States)

Cooperative Institutions

Goddard Space Flight Center

University of Maryland, College Park

National Aeronautics and Space Administration

Purdue University West Lafayette

Naval Research Laboratory Information Technology Division

United States Department of Agriculture

Agricultural Research Service

State Key Laboratory of Remote Sensing Science

Center For Remote Sensing (United States)

Lockheed Martin (United States)

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Characterization of forest recovery from fire using Landsat and SAR data

Guoqing Sun L. E. Rocchio J. G. Masek David G. Williams K.J. Ranson

The Forest fire during May 6-June 4, 1987 in Northeastern China burned 1.14 million hectares of forest and nearly 25 million cubic meters of timber. Landsat (5 and 7) and radar data (ERS and JERS-1) in combination with field measurements, were analyzed in terms of forest destruction and recovery and the results were evaluated. Temporal Landsat data enabled the identification of burned regions and the characterization of forest recovery, but sensitivity after 10 years was gradually lost. While the 1993 (and later) C-band SAR data from ERS cannot identify the fire scars, the 1997 JERS-1 L-band data can be used to characterize the burned area.

Forest structure

10.1109/igarss.2002.1025780

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Monitoring forest dynamics using multi-sensor data in Northeastern China

Guoqing Sun David R. Williams Xiwu Zhan Zengyuan Li J. G. Masek

To monitor the dynamics of the forests in the vast Northeastern China region, we are developing an operational forest monitoring system using satellite remote sensing data. The major components of this system will include both standard and enhanced methodologies for forest cover mapping and change detection within a geographic information system (GIS) database. To rapidly assess forest conditions over the large geographical expanses in Northeast China, Moderate Resolution Imaging Spectroradiometer (MODIS) data are first used to detect areas of change at the macro scale. Once identified, fine resolution Landsat 7 ETM+, and SAR data, are used to generate fine resolution, micro-scale forest maps to characterize the nature/cause of the change(s). This paper describes the project and presents preliminary results in forest classification and change detection in this region.

Moderate-resolution imaging spectroradiometer

Forest dynamics

10.1109/igarss.2001.976630

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Approaching 50 years of Landsat - an Evolution of Earth Science Research from Space

AGU Fall Meeting Abstracts (2018)

Gillian Butcher L. E. Rocchio

Earth observation

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40 Years Young: Social Media for the World's Longest-Running Earth-Observation Satellite Program

AGU Fall Meeting Abstracts (2012)

Holli Riebeek L. E. Rocchio Marie E. Taylor Thomas E. Owen J. E. Allen

Earth observation satellite

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David A. Landgrebe: Evolution of Digital Remote Sensing and Landsat

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022)

Samuel N. Goward Marvin E. Bauer L. L. Biehl Forrest G. Hall R. M. Hoffer

David Landgrebe, Professor of Electrical Engineering and Director of the Purdue University Laboratory for Applications of Remote Sensing (LARS), was a primary innovator in the field of digital image analysis and remote sensing of the environment. He and his LARS colleagues, along with a selected few other researchers at institutions including the University of Michigan, University of California Berkley, NASA Goddard Space Flight Center, and NASA Johnson Space Center, defined and developed remote sensing technology to monitor the Earth's terrestrial environment. This research led to the Landsat program, which has continued to monitor the Earth's land areas for a half century. These technologies have defined new fields of scientific query in digital image analysis, biophysical remote sensing, as well as remote sensing science and applications. Dr. Landgrebe's contributions to these research areas were substantial and profound. Understanding the early evolution of work is critical to understanding how this technology is still advancing today. The authors hope that current and future students of these fields will benefit from understanding how this all began.

Earth remote sensing

Innovator

Research center

space technology

10.1109/jstars.2022.3176804

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Bridging the Divide: Translating Landsat Research Into Usable Science

AGU Fall Meeting Abstracts (2006)

L. E. Rocchio Arnold Davis

USable

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