Processing Image to Geographical Information Systems (PI2GIS)—A Learning Tool for QGIS
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Spatiotemporal Continuous Impervious Surface Mapping by Fusion of Landsat Time Series Data and Google Earth Imagery
remote sensing Article Spatiotemporal Continuous Impervious Surface Mapping by Fusion of Landsat Time Series Data and Google Earth Imagery Rui Chen 1,2, Xiaodong Li 1,* , Yihang Zhang 1, Pu Zhou 1,2, Yalan Wang 1,2, Lingfei Shi 3 , Lai Jiang 4, Feng Ling 1 and Yun Du 1 1 Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China; [email protected] (R.C.); [email protected] (Y.Z.); [email protected] (P.Z.); [email protected] (Y.W.); [email protected] (F.L.); [email protected] (Y.D.) 2 University of Chinese Academy of Sciences, Beijing 100049, China 3 Henan Agricultural University School of Resources and Environment, Zhengzhou 450002, China; [email protected] 4 Hubei Water Resources Research Institute, Hubei Water Resources and Hydropower Science and Technology Promotion Center, Wuhan 430070, China; [email protected] * Correspondence: [email protected]; Tel./Fax: +86-27-6888-1075 Abstract: The monitoring of impervious surfaces in urban areas using remote sensing with fine spatial and temporal resolutions is crucial for monitoring urban development and environmental changes in urban areas. Spatiotemporal super-resolution mapping (STSRM) fuses fine-spatial-coarse- temporal remote sensing data with coarse-spatial-fine-temporal data, allowing for urban impervious surface mapping at both fine-spatial and fine-temporal resolutions. The STSRM involves two main steps: unmixing the coarse-spatial-fine-temporal remote sensing data to class fraction images, and Citation: Chen, R.; Li, X.; Zhang, Y.; downscaling the fraction images to sub-pixel land cover maps. -
Early Analysis of Landsat-8 Thermal Infrared Sensor Imagery of Volcanic Activity
Remote Sens. 2014, 6, 2282-2295; doi:10.3390/rs6032282 OPEN ACCESS remote sensing ISSN 2072-4292 www.mdpi.com/journal/remotesensing Article Early Analysis of Landsat-8 Thermal Infrared Sensor Imagery of Volcanic Activity Matthew Blackett Centre for Disaster Management and Hazards Research, Coventry University, Priory Street, Coventry, CV1 5FB, UK; E-Mail: [email protected]; Tel.: +44-2476-887-692 Received: 18 October 2013; in revised form: 21 February 2014 / Accepted: 10 March 2014 / Published: 12 March 2014 Abstract: The Landsat-8 satellite of the Landsat Data Continuity Mission was launched by the National Aeronautics and Space Administration (NASA) in April 2013. Just weeks after it entered active service, its sensors observed activity at Paluweh Volcano, Indonesia. Given that the image acquired was in the daytime, its shortwave infrared observations were contaminated with reflected solar radiation; however, those of the satellite’s Thermal Infrared Sensor (TIRS) show thermal emission from the volcano’s summit and flanks. These emissions detected in sensor’s band 10 (10.60–11.19 µm) have here been quantified in terms of radiant power, to confirm reports of the actual volcanic processes operating at the time of image acquisition, and to form an initial assessment of the TIRS in its volcanic observation capabilities. Data from band 11 have been neglected as its data have been shown to be unreliable at the time of writing. At the instant of image acquisition, the thermal emission of the volcano was found to be 345 MW. This value is shown to be on the same order of magnitude as similarly timed NASA Earth Observing System (EOS) Moderate Resolution Imaging Spectroradiometer thermal observations. -
Year in Review 2013
SM_Dec_2013 cover Worldwide Satellite Magazine December 2013 SatMagazine 2013 YEAR IN REVIEW SatMagazine December 2013—Year In Review Publishing Operations Senior Contributors This Issue’s Authors Silvano Payne, Publisher + Writer Mike Antonovich, ATEME Mike Antonovich Robert Kubbernus Hartley G. Lesser, Editorial Director Tony Bardo, Hughes Eran Avni Dr. Ajey Lele Richard Dutchik Dave Bettinger Tom Leech Pattie Waldt, Executive Editor Chris Forrester, Broadgate Publications Don Buchman Hartley Lesser Jill Durfee, Sales Director, Editorial Assistant Karl Fuchs, iDirect Government Services Eyal Copitt Timothy Logue Simon Payne, Development Director Bob Gough, 21 Carrick Communications Rich Currier Jay Monroe Jos Heyman, TIROS Space Information Tommy Konkol Dybvad Tore Morten Olsen Donald McGee, Production Manager David Leichner, Gilat Satellite Networks Chris Forrester Kurt Peterhans Dan Makinster, Technical Advisor Giles Peeters, Track24 Defence Sima Fishman Jorge Potti Bert Sadtler, Boxwood Executive Search Simen K. Frostad Sally-Anne Ray David Gelerman Susan Sadaat Samer Halawi Bert Sadtler Jos Heyman Patrick Shay Jack Jacobs Mike Towner Casper Jensen Serge Van Herck Alexandre Joint Pattie Waldt Pradman Kaul Ali Zarkesh Published 11 times a year by SatNews Publishers 800 Siesta Way Sonoma, CA 95476 USA Phone: (707) 939-9306 Fax: (707) 838-9235 © 2013 SatNews Publishers We reserve the right to edit all submitted materials to meet our content guidelines, as well as for grammar or to move articles to an alternative issue to accommodate publication space requirements, or removed due to space restrictions. Submission of content does not constitute acceptance of said material by SatNews Publishers. Edited materials may, or may not, be returned to author and/or company for review prior to publication. -
Highlights in Space 2010
International Astronautical Federation Committee on Space Research International Institute of Space Law 94 bis, Avenue de Suffren c/o CNES 94 bis, Avenue de Suffren UNITED NATIONS 75015 Paris, France 2 place Maurice Quentin 75015 Paris, France Tel: +33 1 45 67 42 60 Fax: +33 1 42 73 21 20 Tel. + 33 1 44 76 75 10 E-mail: : [email protected] E-mail: [email protected] Fax. + 33 1 44 76 74 37 URL: www.iislweb.com OFFICE FOR OUTER SPACE AFFAIRS URL: www.iafastro.com E-mail: [email protected] URL : http://cosparhq.cnes.fr Highlights in Space 2010 Prepared in cooperation with the International Astronautical Federation, the Committee on Space Research and the International Institute of Space Law The United Nations Office for Outer Space Affairs is responsible for promoting international cooperation in the peaceful uses of outer space and assisting developing countries in using space science and technology. United Nations Office for Outer Space Affairs P. O. Box 500, 1400 Vienna, Austria Tel: (+43-1) 26060-4950 Fax: (+43-1) 26060-5830 E-mail: [email protected] URL: www.unoosa.org United Nations publication Printed in Austria USD 15 Sales No. E.11.I.3 ISBN 978-92-1-101236-1 ST/SPACE/57 *1180239* V.11-80239—January 2011—775 UNITED NATIONS OFFICE FOR OUTER SPACE AFFAIRS UNITED NATIONS OFFICE AT VIENNA Highlights in Space 2010 Prepared in cooperation with the International Astronautical Federation, the Committee on Space Research and the International Institute of Space Law Progress in space science, technology and applications, international cooperation and space law UNITED NATIONS New York, 2011 UniTEd NationS PUblication Sales no. -
Spire's Cubesat Constellation of GNSS, AIS, and ADS-B Sensors
Seizing Opportunity: Spire’s CubeSat Constellation of GNSS, AIS, and ADS-B Sensors Dallas Masters, Director of GNSS, Spire Global, Inc. Stanford PNT Symposium, 2018-11-08 WHO & WHAT IS SPIRE? We’re a new, innovative satellite & data services company that you might not have heard of… We’re what you get when you mix agile development with nanosatellites... We’re the transformation of a single , crowd-sourced nanosatellite into one of the largest constellations of satellites in the world... Stanford PNT Symposium, 2018-11-08 OUTLINE 1. Overview of Spire 2. Spire satellites and PNT payloads & products a. AIS ship tracking b. GNSS-based remote sensing measurements: radio occultation (RO), ionosphere electron density, bistatic radar (reflections) c. ADS-B aircraft tracking (early results) 3. Spire’s lofty long-term goals Stanford PNT Symposium, 2018-11-08 AN OVERVIEW OF SPIRE Stanford PNT Symposium, 2018-11-08 SPIRE TODAY • 150 people across five offices (a distributed start-up) - San Francisco, Boulder, Glasgow, Luxembourg, and Singapore • 60+ LEO 3U CubeSats (10x10x30 cm) in orbit with passive sensing payloads, 30+ global ground stations - 16 launch campaigns completed with seven different launch providers - Ground station network owned and operated in-house for highest level of security and resilience • Observing each point on Earth 100 times per day, everyday - Complete global coverage, including the polar regions • Deploying new applications within 6-12 month timeframes • World’s largest ship tracking constellation • World’s largest weather -
Landsat Data Continuity Mission (LDCM)
National Aeronautics and Space Administration —PHOTO BY NASA Landsat Data Continuity Mission (LDCM) VOLUME 11, NUMBER 3 | SUMMER 2013 IN THIS ISSUE: 2 From the Chief 16 SBIR/STTR Success Story 3 Landsat Data Continuity Mission 18 Patenting Perspectives 5 Applications for Landsat Data 20 Networking and Outreach 9 Interview with Dr. James Irons and 23 NASA Goddard in the News Dr. Murzy Jhabvala 25 Disclosures and Patents 13 Landsat Technology Transfer NASA Goddard Tech Transfer News | volume 11, number 3 | summer 2013 [ 1 Landsat 8 [ FROM THE Chief Nona Cheeks Landsat represents a highly visible and compelling success story, both for NASA in general and NASA Goddard Space Flight Center in particular. Since the launch of Landsat 1 in 1972, this ongoing program has provided an incomparable wealth of data about the land surface of our planet. A complete review of all the benefi ts Landsat has provided to humanity over the years would require far more space than we have available to us here; a few examples include climate research, environmental monitoring, agriculture, and disaster recovery just to name a few. The Landsat Data Continuity Mission (LDCM) is the latest satellite in the Landsat series. Successfully launched on February 11, 2013, LDCM – which is now known throughout the world as Landsat 8 – carries onboard two primary instruments, the Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS). The former observes the Earth in visible light, while the latter operates in the infrared. These instruments signifi cantly enhance Landsat’s ability to collect and process vast amounts of high-quality data. -
Characterization of Landsat-7 to Landsat-8 Reflective Wavelength And
*Revised Manuscript with no Changes Highlighted Click here to download Revised Manuscript with no Changes Highlighted: rev_rev_L7_L8_paper_Royetal.docx 1 Characterization of Landsat-7 to Landsat-8 reflective wavelength and 2 normalized difference vegetation index continuity 3 Roy, D.P. 1, Kovalskyy, V.1, Zhang, H.K. 1, Vermote, E.F. 2, 4 Yan, L. 1, Kumar, S.S. 1, Egorov, A. 1 5 6 1 Geospatial Science Center of Excellence, 7 South Dakota State University Brookings, SD 57007, USA 8 2 NASA Goddard Space Flight Center, 9 Terrestrial Information Systems Branch, MD 20771, USA 10 11 At over 40 years, the Landsat satellites provide the longest temporal record of space-based land 12 surface observations, and the successful 2013 launch of the Landsat-8 is continuing this legacy. 13 Ideally, the Landsat data record should be consistent over the Landsat sensor series. The 14 Landsat-8 Operational Land Imager (OLI) has improved calibration, signal to noise 15 characteristics, higher 12-bit radiometric resolution, and spectrally narrower wavebands than the 16 previous Landsat-7 Enhanced Thematic Mapper (ETM+). Reflective wavelength differences 17 between the two Landsat sensors depend also on the surface reflectance and atmospheric state 18 which are difficult to model comprehensively. The orbit and sensing geometries of the Landsat- 19 8 OLI and Landsat-7 ETM+ provide swath edge overlapping paths sensed only one day apart. 20 The overlap regions are sensed in alternating backscatter and forward scattering orientations so 21 Landsat bi-directional reflectance effects are evident but approximately balanced between the 22 two sensors when large amounts of time series data are considered. -
Investigating the Potential of Landsat 8 OLI Satellite Imagery for Geological Mapping in Namibia
Investigating the Potential of Landsat 8 OLI Satellite Imagery for Geological Mapping in Namibia Landsat 5-7(1999-2011) and especially Landsat 8 (2013+) offer new potential for Landsat 8 Operational Land Landsat 7 Enhanced Thematic Mapper Plus Imager (OLI) and (ETM+) spectral mapping of lithologies and structures. Reference spectral graphs for individual Only two academic papers relating to geological remote sensing in Namibia have Thermal Infrared Sensor (TIRS) been published (Lord et al., 1996, Gomez et al., 2005) despite the complex and minerals have been available for decades (Hunt and Salisbury 1970) but the spectral Wavelength Resolution Wavelength Resolution Bands Bands discrimination of rocks with variable types and quantities of mineral, variable varied geology, cloud free atmospheres, and the almost ideal surface conditions of (micrometres) (metres) (micrometres) (metres) Band 1 - Coastal 0.43 - 0.45 30 weathering, surface crusts, hybrids of rock types (shaly limestones) and frequently bedrock exposure. These two publications used moderate resolution sensors, aerosol Band 1 - blue 0.45-0.52 30 Landsat MSS (1972-82, 4 - 8 spectral bands - VIS/VNIR, 80m pixels) – and ASTER Band 2 - Blue 0.45 - 0.51 30 Band 2 - green 0.52-0.60 30 altering atmospheres is problematical for lithological discrimination. The capacity to Band 3 - Green 0.53 - 0.59 30 Band 3 - red 0.63-0.69 30 perform spectral mapping or spectral stratigraphy(Prost,1994) can assist field Band 4 – near ( 2000+ complex 14 spectral bands - VNIR/SWIR/TIR s 15-90m spatial resolution). Band 4 - Red 0.64 - 0.67 30 0.77-0.90 30 Infrared (NIR) mapping by using a mixture of spectral reflectance (colour), brightness and erosional Band 5 - Near 0.85 - 0.88 30 Band 5 - SWIR 1.55-1.75 30 Infrared (NIR) texture associated with lithologies. -
IFC-AMC Motion to Dismiss
Case 1:17-cv-01494-VAC-SRF Document 34-1 Filed 02/16/18 Page 1 of 1 PageID #: 1030 IN THE UNITED STATES DISTRICT COURT FOR THE DISTRICT OF DELAWARE JUANA DOE I et al., § § Plaintiffs, § § vs. § § C.A. No. 17-1494-VAC-SRF IFC ASSET MANAGEMENT COMPANY, § LLC, § § Defendant. § [PROPOSED] ORDER WHEREAS, Defendant IFC Asset Management Company, LLC, having moved to dismiss the claims in Plaintiff Juana Doe I et al.’s Complaint (D.I. 1); and, WHEREAS, the Court having considered the briefs and arguments in support of and in opposition to said Motion; IT IS HEREBY ORDERED this _______ day of ____________, 2018, that the Motion is GRANTED. Plaintiffs’ Complaint is dismissed with prejudice. _______________________________ United States District Judge RLF1 18887565v.1 Case 1:17-cv-01494-VAC-SRF Document 34-1 Filed 02/16/18 Page 1 of 1 PageID #: 1030 IN THE UNITED STATES DISTRICT COURT FOR THE DISTRICT OF DELAWARE JUANA DOE I et al., § § Plaintiffs, § § vs. § § C.A. No. 17-1494-VAC-SRF IFC ASSET MANAGEMENT COMPANY, § LLC, § § Defendant. § [PROPOSED] ORDER WHEREAS, Defendant IFC Asset Management Company, LLC, having moved to dismiss the claims in Plaintiff Juana Doe I et al.’s Complaint (D.I. 1); and, WHEREAS, the Court having considered the briefs and arguments in support of and in opposition to said Motion; IT IS HEREBY ORDERED this _______ day of ____________, 2018, that the Motion is GRANTED. Plaintiffs’ Complaint is dismissed with prejudice. _______________________________ United States District Judge RLF1 18887565v.1 Case 1:17-cv-01494-VAC-SRF Document 35 Filed 02/16/18 Page 1 of 51 PageID #: 1031 IN THE UNITED STATES DISTRICT COURT FOR THE DISTRICT OF DELAWARE JUANA DOE I et al., § § Plaintiffs, § § vs. -
Quantification of Surface Water Volume Changes in the Mackenzie Delta
Hydrol. Earth Syst. Sci., 22, 1543–1561, 2018 https://doi.org/10.5194/hess-22-1543-2018 © Author(s) 2018. This work is distributed under the Creative Commons Attribution 3.0 License. Quantification of surface water volume changes in the Mackenzie Delta using satellite multi-mission data Cassandra Normandin1, Frédéric Frappart2,3, Bertrand Lubac1, Simon Bélanger4, Vincent Marieu1, Fabien Blarel3, Arthur Robinet1, and Léa Guiastrennec-Faugas1 1EPOC, UMR 5805, Université de Bordeaux, Allée Geoffroy Saint-Hilaire, 33615 Pessac, France 2GET-GRGS, UMR 5563, CNRS/IRD/UPS, Observatoire Midi-Pyrénées, 31400 Toulouse, France 3LEGOS-GRGS, UMR 5566, CNRS/IRD/UPS, Observatoire Midi-Pyrénées, 31400 Toulouse, France 4Dép. Biologie, Chimie et Géographie, groupe BOREAS and Québec-Océan, Université du Québec à Rimouski, 300 allée des ursulines, Rimouski, Qc, G5L 3A1, Canada Correspondence: Cassandra Normandin ([email protected]) Received: 22 March 2017 – Discussion started: 29 May 2017 Revised: 5 December 2017 – Accepted: 11 January 2018 – Published: 28 February 2018 Abstract. Quantification of surface water storage in exten- the surface water extents are produced. Results indicate a sive floodplains and their dynamics are crucial for a bet- high variability of the water height magnitude that can reach ter understanding of global hydrological and biogeochemi- 10 m compared to the lowest water height in the upstream cal cycles. In this study, we present estimates of both surface part of the delta during the flood peak in June. Furthermore, water extent and storage combining multi-mission remotely the total surface water volume is estimated and shows an sensed observations and their temporal evolution over more annual variation of approximately 8.5 km3 during the whole than 15 years in the Mackenzie Delta. -
Remote Sensing and GIS Applications
Remote sensing and GIS applications SYLLABUS: UNIT – I Introduction to remote sensing: Basic concepts of remote sensing, electromagnetic radiation, electromagnetic spectrum, interaction with atmosphere, energy interaction with the earth surfaces characteristics of remote sensing systems. Sensors and platforms: Introduction, types of sensors, airborne remote sensing, spaceborne remote sensing, image data characteristics, digital imagdata formats-band interleaved by pixel, band interleaved by line, band sequential, IRS, LANDSAT, SPOT. UNIT – II Image analysis: Introduction, elements of visual interpretations, digital image processing- image preprocessing, image enhancement, image classification, supervised classification, unsupervised classification. UNIT – III Geographic Information System: Introduction, key components, application areas of GIS, map projections. Data entry and preparation: spatial data input, raster data models, vector data models. UNIT – IV Spatial data analysis: Introduction, overlay function-vector overlay operations, raster overlay operations, arithmetic operators, comparison and logical operators, conditional expressions, overlay using a decision table, network analysis-optimal path finding, network allocation, network tracing. UNIT – V RS and GIS applications General: Land cover and land use, agriculture, forestry, geology, geomorphology, urban applications. UNIT - VI Application to Hydrology and Water Resources: Flood zoning and mapping, groundwater prospects and potential recharge zones, watershed management. P.Sri Sowmya Rupa Page 1 INTRODUCTION: Photogrammetry is the science of making measurements from photographs, especially for recovering the exact positions of surface points. Moreover, it may be used to recover the motion pathways of designated reference points located on any moving object, on its components and in the immediately adjacent environment. Photogrammetry may employ high-speed imaging and remote sensing in order to detect, measure and record complex 2-D and 3-D motion fields (see also sonar, radar, lidar etc.). -
Geographic Information System (GIS) Software for Image Viewing INFORMATION SHEET March 2017
United States Department of Agriculture Geographic Information System (GIS) Software for Image Viewing INFORMATION SHEET March 2017 What is GIS software? What are some free software programs which can be used as data viewers? GIS software can display many types of geospatial data and is a system for spatially managing and analyzing The following is a partial list of some software geographic data and information. available at no cost for viewing GIS data. Most of them have at least some GIS functionality beyond Why does GIS software matter to the USDA merely viewing the imagery. These companies often Farm Service Agency (FSA) and Aerial sell more complete software programs. The websites Photography Field Office (APFO)? provide information on the viewers’ capabilities. GIS software is used daily at APFO and in FSA offices 1. TatukGIS Free Viewer throughout the country. FSA and APFO produce two http://www.tatukgis.com/Products/EditorViewer.aspx main types of GIS datasets: The Common Land Unit (CLU) and digital ortho imagery. 2. Global Mapper http://www.bluemarblegeo.com/products/global CLU is vector data. It resides in shapefile format in -mapper-download.php geospatial databases. Digital ortho imagery is raster data. It primarily resides in TIFF, GeoTIFF, MrSID, 3. PCI Geomatica FreeView http://www.pcigeomatics.com/geomatica-freeview- and JPEG 2000 formats, or is accessible through web download services. 4. ESRI ArcGIS Explorer This data is produced for management of USDA http://www.esri.com/software/arcgis/explorer/download programs, and much of the data management and analysis is done in GIS software. Currently, only the 5.