Current Status of Landsat Program, Science, and Applications T ⁎ Michael A
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A Systematic Review of Landsat Data for Change Detection Applications: 50 Years of Monitoring the Earth
remote sensing Review A Systematic Review of Landsat Data for Change Detection Applications: 50 Years of Monitoring the Earth MohammadAli Hemati 1 , Mahdi Hasanlou 1 , Masoud Mahdianpari 2,3,* and Fariba Mohammadimanesh 2 1 School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 14174-66191, Iran; [email protected] (M.H.); [email protected] (M.H.) 2 C-CORE, 1 Morrissey Road, St. John’s, NL A1B 3X5, Canada; [email protected] 3 Department of Electrical and Computer Engineering, Memorial University of Newfoundland, St. John’s, NL A1C 5S7, Canada * Correspondence: [email protected] Abstract: With uninterrupted space-based data collection since 1972, Landsat plays a key role in systematic monitoring of the Earth’s surface, enabled by an extensive and free, radiometrically consistent, global archive of imagery. Governments and international organizations rely on Landsat time series for monitoring and deriving a systematic understanding of the dynamics of the Earth’s surface at a spatial scale relevant to management, scientific inquiry, and policy development. In this study, we identify trends in Landsat-informed change detection studies by surveying 50 years of published applications, processing, and change detection methods. Specifically, a representative database was created resulting in 490 relevant journal articles derived from the Web of Science and Scopus. From these articles, we provide a review of recent developments, opportunities, and trends in Landsat change detection studies. The impact of the Landsat free and open data policy in 2008 is evident in the literature as a turning point in the number and nature of change detection Citation: Hemati, M.; Hasanlou, M.; studies. -
NOAA TM GLERL-33. Categorization of Northern Green Bay Ice Cover
NOAA Technical Memorandum ERL GLERL-33 CATEGORIZATION OF NORTHERN GREEN BAY ICE COVER USING LANDSAT 1 DIGITAL DATA - A CASE STUDY George A. Leshkevich Great Lakes Environmental Research Laboratory Ann Arbor, Michigan January 1981 UNITED STATES NATIONAL OCEANIC AND Environmental Research DEPARTMENT OF COMMERCE AlMOSPHERlC ADMINISTRATION Laboratofks Philip M. Klutznick, Sacratary Richard A Frank, Administrator Joseph 0. Fletcher, Acting Director NOTICE The NOAA Environmental Research Laboratories do not approve, recommend, or endorse any proprietary product or proprietary material mentioned in this publication. No reference shall be made to the NOAA Environmental Research Laboratories, or to this publication furnished by the NOAA Environmental Research Laboratories, in any advertising or sales promotion which would indicate or imply that the NOAA Environmental Research Laboratories approve, recommend, or endorse any proprietary product or proprietary material men- tioned herein, or which has as its purpose an intent to cause directly or indirectly the advertized product to be used or purchased because of this NOAA Environmental Research Laboratories publication. ii TABLE OF CONTENTS Page Abstract 1. INTRODUCTION 2. DATA SOURCE AND DESCRIPTION OF STUDY AREA 2.1 Data Source 2.2 Description of Study Area 3. DATA ANALYSIS 3.1 Equipment 3.2 Approach 5 4. RESULTS 8 5. CONCLUSIONS AND RECOMMENDATIONS 15 6. ACKNOWLEDGEMENTS 17 7. REFERENCES 17 8. SELECTED BIBLIOGRAPHY 19 iii FIGURES Page 1. Area covered by LANDSAT 1 scene, February 13, 1975. 3 2. LANDSAT 1 false-color image, February 13, 1975, and trainin:: set locations (by group number). 4 3. Transformed variables (1 and 2) for snow covered land (group 13) plotted arouwl the group means for snow- covered ice (group 15). -
Panagiotis Karampelas Thirimachos Bourlai Editors Technologies for Civilian, Military and Cyber Surveillance
Advanced Sciences and Technologies for Security Applications Panagiotis Karampelas Thirimachos Bourlai Editors Surveillance in Action Technologies for Civilian, Military and Cyber Surveillance Advanced Sciences and Technologies for Security Applications Series editor Anthony J. Masys, Centre for Security Science, Ottawa, ON, Canada Advisory Board Gisela Bichler, California State University, San Bernardino, CA, USA Thirimachos Bourlai, WVU - Statler College of Engineering and Mineral Resources, Morgantown, WV, USA Chris Johnson, University of Glasgow, UK Panagiotis Karampelas, Hellenic Air Force Academy, Attica, Greece Christian Leuprecht, Royal Military College of Canada, Kingston, ON, Canada Edward C. Morse, University of California, Berkeley, CA, USA David Skillicorn, Queen’s University, Kingston, ON, Canada Yoshiki Yamagata, National Institute for Environmental Studies, Tsukuba, Japan The series Advanced Sciences and Technologies for Security Applications comprises interdisciplinary research covering the theory, foundations and domain-specific topics pertaining to security. Publications within the series are peer-reviewed monographs and edited works in the areas of: – biological and chemical threat recognition and detection (e.g., biosensors, aerosols, forensics) – crisis and disaster management – terrorism – cyber security and secure information systems (e.g., encryption, optical and photonic systems) – traditional and non-traditional security – energy, food and resource security – economic security and securitization (including associated -
Statement by Lynn Cline, United States Representative on Agenda
Statement by Kevin Conole, United States Representative, on Agenda Item 7, “Matters Related to Remote Sensing of the Earth by Satellite, Including Applications for Developing Countries and Monitoring of the Earth’s Environment” -- February 12, 2020 Thank you, Madame Chair and distinguished delegates. The United States is committed to maintaining space as a stable and productive environment for the peaceful uses of all nations, including the uses of space-based observation and monitoring of the Earth’s environment. The U.S. civil space agencies partner to achieve this goal. NASA continues to operate numerous satellites focused on the science of Earth’s surface and interior, water and energy cycles, and climate. The National Oceanic and Atmospheric Administration (or NOAA) operates polar- orbiting, geostationary, and deep space terrestrial and space weather satellites. The U.S. Geological Survey (or USGS) operates the Landsat series of land-imaging satellites, extending the nearly forty-eight year global land record and serving a variety of public uses. This constellation of research and operational satellites provides the world with high-resolution, high-accuracy, and sustained Earth observation. Madame Chair, I will now briefly update the subcommittee on a few of our most recent accomplishments under this agenda item. After a very productive year of satellite launches in 2018, in 2019 NASA brought the following capabilities on- line for research and application users. The ECOsystem Spaceborne Thermal Radiometer Experiment on the International Space Station (ISS) has been used to generate three high-level products: evapotranspiration, water use efficiency, and the evaporative stress index — all focusing on how plants use water. -
The Earth Observer. July
National Aeronautics and Space Administration The Earth Observer. July - August 2012. Volume 24, Issue 4. Editor’s Corner Steve Platnick obser ervth EOS Senior Project Scientist The joint NASA–U.S. Geological Survey (USGS) Landsat program celebrated a major milestone on July 23 with the 40th anniversary of the launch of the Landsat-1 mission—then known as the Earth Resources and Technology Satellite (ERTS). Landsat-1 was the first in a series of seven Landsat satellites launched to date. At least one Landsat satellite has been in operation at all times over the past four decades providing an uninter- rupted record of images of Earth’s land surface. This has allowed researchers to observe patterns of land use from space and also document how the land surface is changing with time. Numerous operational applications of Landsat data have also been developed, leading to improved management of resources and informed land use policy decisions. (The image montage at the bottom of this page shows six examples of how Landsat data has been used over the last four decades.) To commemorate the anniversary, NASA and the USGS helped organize and participated in several events on July 23. A press briefing was held over the lunch hour at the Newseum in Washington, DC, where presenta- tions included the results of a My American Landscape contest. Earlier this year NASA and the USGS sent out a press release asking Americans to describe landscape change that had impacted their lives and local areas. Of the many responses received, six were chosen for discussion at the press briefing with the changes depicted in time series or pairs of Landsat images. -
High-Temporal-Resolution Water Level and Storage Change Data Sets for Lakes on the Tibetan Plateau During 2000–2017 Using Mult
Earth Syst. Sci. Data, 11, 1603–1627, 2019 https://doi.org/10.5194/essd-11-1603-2019 © Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License. High-temporal-resolution water level and storage change data sets for lakes on the Tibetan Plateau during 2000–2017 using multiple altimetric missions and Landsat-derived lake shoreline positions Xingdong Li1, Di Long1, Qi Huang1, Pengfei Han1, Fanyu Zhao1, and Yoshihide Wada2 1State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing, China 2International Institute for Applied Systems Analysis (IIASA), 2361 Laxenburg, Austria Correspondence: Di Long ([email protected]) Received: 21 February 2019 – Discussion started: 15 March 2019 Revised: 4 September 2019 – Accepted: 22 September 2019 – Published: 28 October 2019 Abstract. The Tibetan Plateau (TP), known as Asia’s water tower, is quite sensitive to climate change, which is reflected by changes in hydrologic state variables such as lake water storage. Given the extremely limited ground observations on the TP due to the harsh environment and complex terrain, we exploited multiple altimetric mis- sions and Landsat satellite data to create high-temporal-resolution lake water level and storage change time series at weekly to monthly timescales for 52 large lakes (50 lakes larger than 150 km2 and 2 lakes larger than 100 km2) on the TP during 2000–2017. The data sets are available online at https://doi.org/10.1594/PANGAEA.898411 (Li et al., 2019). With Landsat archives and altimetry data, we developed water levels from lake shoreline posi- tions (i.e., Landsat-derived water levels) that cover the study period and serve as an ideal reference for merging multisource lake water levels with systematic biases being removed. -
Landsat Data: Community Standard for Data Calibration
LANDSAT DATA: COMMUNITY STANDARD FOR DATA CALIBRATION A Report of the National Geospatial Advisory Committee Landsat Advisory Group October 2020 Landsat Data: Community Standard for Data Calibration October 2020 LANDSAT DATA: COMMUNITY STANDARD FOR DATA CALIBRATION Executive Summary Landsat has become a widely recognized “gold” reference for Earth observation satellites. Landsat’s extensive historical record of highly calibrated data is a public good and exploited by other satellite operators to improve their data and products, and is becoming an open standard. However, the significance, value, and use case description of highly calibrated satellite data are typically not presented in a way that is understandable to general audiences. This paper aims to better communicate the fundamental importance of Landsat in making Earth observation data more accessible and interoperable for global users. The U.S. Geological Survey (USGS), in early 2020, requested the Landsat Advisory Group (LAG), subcommittee of the National Geospatial Advisory Committee (NGAC) to prepare this paper for a general audience, clearly capturing the essence of Landsat’s “gold” standard standing. Terminology, descriptions, and specific examples are presented at a layperson’s level. Concepts emphasize radiometric, geometric, spectral, and cross-sensor calibration, without complex algorithms. Referenced applications highlight change detection, time-series analysis, crop type mapping and data fusion/harmonization/integration. Introduction The National Land Imaging Program leadership from the U.S. Geological Survey (USGS) requested that the Landsat Advisory Group (LAG), a subcommittee of the National Geospatial Advisory Committee (NGAC), prepare a paper that accurately and coherently describes how Landsat data have become widely recognized as a radiometric and geometric calibration standard or “good-as-gold” reference for other multi-spectral satellite data. -
GST Responses to “Questions to Inform Development of the National Plan”
GST Responses to “Questions to Inform Development of the National Plan” Name (optional): Dr. Darrel Williams Position (optional): Chief Scientist, (240) 542-1106; [email protected] Institution (optional): Global Science & Technology, Inc. Greenbelt, Maryland 20770 Global Science & Technology, Inc. (GST) is pleased to provide the following answers as a contribution towards OSTP’s effort to develop a national plan for civil Earth observations. In our response we provide information to support three main themes: 1. There is strong science need for high temporal resolution of moderate spatial resolution satellite earth observation that can be achieved with cost effective, innovative new approaches. 2. Operational programs need to be designed to obtain sustained climate data records. Continuity of Earth observations can be achieved through more efficient and economical means. 3. We need programs to address the integration of remotely sensed data with in situ data. GST has carefully considered these important national Earth observation issues over the past few years and has submitted the following RFI responses: The USGS RFI on Landsat Data Continuity Concepts (April 2012), NASA’s Sustainable Land Imaging Architecture RFI (September 2013), and This USGEO RFI (November 2013) relative to OSTP’s efforts to develop a national plan for civil Earth observations. In addition to the above RFI responses, GST led the development of a mature, fully compliant flight mission concept in response to NASA’s Earth Venture-2 RFP in September 2011. Our capacity to address these critical national issues resides in GST’s considerable bench strength in Earth science understanding (Drs. Darrel Williams, DeWayne Cecil, Samuel Goward, and Dixon Butler) and in NASA systems engineering and senior management oversight (Drs. -
NASA Process for Limiting Orbital Debris
NASA-HANDBOOK NASA HANDBOOK 8719.14 National Aeronautics and Space Administration Approved: 2008-07-30 Washington, DC 20546 Expiration Date: 2013-07-30 HANDBOOK FOR LIMITING ORBITAL DEBRIS Measurement System Identification: Metric APPROVED FOR PUBLIC RELEASE – DISTRIBUTION IS UNLIMITED NASA-Handbook 8719.14 This page intentionally left blank. Page 2 of 174 NASA-Handbook 8719.14 DOCUMENT HISTORY LOG Status Document Approval Date Description Revision Baseline 2008-07-30 Initial Release Page 3 of 174 NASA-Handbook 8719.14 This page intentionally left blank. Page 4 of 174 NASA-Handbook 8719.14 This page intentionally left blank. Page 6 of 174 NASA-Handbook 8719.14 TABLE OF CONTENTS 1 SCOPE...........................................................................................................................13 1.1 Purpose................................................................................................................................ 13 1.2 Applicability ....................................................................................................................... 13 2 APPLICABLE AND REFERENCE DOCUMENTS................................................14 3 ACRONYMS AND DEFINITIONS ...........................................................................15 3.1 Acronyms............................................................................................................................ 15 3.2 Definitions ......................................................................................................................... -
NASA Earth Science Research Missions NASA Observing System INNOVATIONS
NASA’s Earth Science Division Research Flight Applied Sciences Technology NASA Earth Science Division Overview AMS Washington Forum 2 Mayl 4, 2017 FY18 President’s Budget Blueprint 3/2017 (Pre)FormulationFormulation FY17 Program of Record (Pre)FormulationFormulation Implementation MAIA (~2021) Implementation MAIA (~2021) Landsat 9 Landsat 9 Primary Ops Primary Ops TROPICS (~2021) (2020) TROPICS (~2021) (2020) Extended Ops PACE (2022) Extended Ops XXPACE (2022) geoCARB (~2021) NISAR (2022) geoCARB (~2021) NISAR (2022) SWOT (2021) SWOT (2021) TEMPO (2018) TEMPO (2018) JPSS-2 (NOAA) JPSS-2 (NOAA) InVEST/Cubesats InVEST/Cubesats Sentinel-6A/B (2020, 2025) RBI, OMPS-Limb (2018) Sentinel-6A/B (2020, 2025) RBI, OMPS-Limb (2018) GRACE-FO (2) (2018) GRACE-FO (2) (2018) MiRaTA (2017) MiRaTA (2017) Earth Science Instruments on ISS: ICESat-2 (2018) Earth Science Instruments on ISS: ICESat-2 (2018) CATS, (2020) RAVAN (2016) CATS, (2020) RAVAN (2016) CYGNSS (>2018) CYGNSS (>2018) LIS, (2020) IceCube (2017) LIS, (2020) IceCube (2017) SAGE III, (2020) ISS HARP (2017) SAGE III, (2020) ISS HARP (2017) SORCE, (2017)NISTAR, EPIC (2019) TEMPEST-D (2018) SORCE, (2017)NISTAR, EPIC (2019) TEMPEST-D (2018) TSIS-1, (2018) TSIS-1, (2018) TCTE (NOAA) (NOAA’S DSCOVR) TCTE (NOAA) (NOAA’SXX DSCOVR) ECOSTRESS, (2017) ECOSTRESS, (2017) QuikSCAT (2017) RainCube (2018*) QuikSCAT (2017) RainCube (2018*) GEDI, (2018) CubeRRT (2018*) GEDI, (2018) CubeRRT (2018*) OCO-3, (2018) CIRiS (2018*) OCOXX-3, (2018) CIRiS (2018*) CLARREO-PF, (2020) EOXX-1 CLARREOXX XX-PF, (2020) EOXX-1 -
Use of Remotely Sensed Data to Enhance Estimation of Aboveground Biomass for the Dry Afromontane Forest in South-Central Ethiopia
remote sensing Article Use of Remotely Sensed Data to Enhance Estimation of Aboveground Biomass for the Dry Afromontane Forest in South-Central Ethiopia Habitamu Taddese 1,2,* , Zerihun Asrat 2,3 , Ingunn Burud 1, Terje Gobakken 3 , Hans Ole Ørka 3 , Øystein B. Dick 1 and Erik Næsset 3 1 Faculty of Science and Technology, Norwegian University of Life Sciences, P.O. Box 5003, 1432 Ås, Norway; [email protected] (I.B.); [email protected] (Ø.B.D.) 2 Wondo Genet College of Forestry and Natural Resources, Hawassa University, P.O. Box 128, Shashemene 3870006, Ethiopia; [email protected] 3 Faculty Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, P.O. Box 5003, 1432 Ås, Norway; [email protected] (T.G.); [email protected] (H.O.Ø.); [email protected] (E.N.) * Correspondence: [email protected]; Tel.: +47-4671-8534 Received: 31 July 2020; Accepted: 11 October 2020; Published: 13 October 2020 Abstract: Periodic assessment of forest aboveground biomass (AGB) is essential to regulate the impacts of the changing climate. However, AGB estimation using field-based sample survey (FBSS) has limited precision due to cost and accessibility constraints. Fortunately, remote sensing technologies assist to improve AGB estimation precisions. Thus, this study assessed the role of remotely sensed (RS) data in improving the precision of AGB estimation in an Afromontane forest in south-central Ethiopia. The research objectives were to identify RS variables that are useful for estimating AGB and evaluate the extent of improvement in the precision of the remote sensing-assisted AGB estimates beyond the precision of a pure FBSS. -
The EO-1 Mission and the Advanced Land Imager the EO-1 Mission and the Advanced Land Imager Constantine J
• DIGENIS The EO-1 Mission and the Advanced Land Imager The EO-1 Mission and the Advanced Land Imager Constantine J. Digenis n The Advanced Land Imager (ALI) was developed at Lincoln Laboratory under the sponsorship of the National Aeronautics and Space Administration (NASA). The purpose of ALI was to validate in space new technologies that could be utilized in future Landsat satellites, resulting in significant economies of mass, size, power consumption, and cost, and in improved instrument sensitivity and image resolution. The sensor performance on orbit was verified through the collection of high-quality imagery of the earth as seen from space. ALI was launched onboard the Earth Observing 1 (EO-1) satellite in November 2000 and inserted into a 705 km circular, sun-synchronous orbit, flying in formation with Landsat 7. Since then, ALI has met all its performance objectives and continues to provide good science data long after completing its original mission duration of one year. This article serves as a brief introduction to ALI and to six companion articles on ALI in this issue of the Journal. nder the landsat program, a series of sat- in the cross-track direction, covering a ground swath ellites have provided an archive of multispec- width of 185 km. The typical image is also 185 km Utral images of the earth. The first Landsat long along the flight path. satellite was launched in 1972 in a move to explore The Advanced Land Imager (ALI) was developed at the earth from space as the manned exploration of the Lincoln Laboratory under the sponsorship of the Na- moon was ending.