Remote Sensing Data Analysis (244 results)
Calculation of Thermal Inertia from Day-Night Measurements Separated by Days or Weeks (Vol. 41, No. 1, 1985, pp. 73-75) AND Detection of Bedrock Topography beneath a Thin Cover of Alluvium using Thermal Remote Sensing (Vol. 51, No. 1, 1985, pp. 77-88) AND The Analysis of Photogrammetric Deformation Measurements on Turtle Mountain (Vol. 51, No. 2, 1985, pp. 207-216) AND Landsat-4 Thematic Mapper and Thematic Mapper Simulator Data for a Porphyry Copper Deposit (Vol. 50, No. 8, 1984, pp. 1171-1173). (FROM: Photogrammetric Engineering and Remote Sensing).
Kahle, Anne B. and Ronald E. Alley; David P. Nash; C. S. Fraser and L. Gruendig; Michael J. Abrams.
Published by American Society of Photogrammetry., 1985
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- Signed
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Add to basketNo Binding. Condition: Very Good. Reprints/Offprints of journal article; no covers; in very good condition. Inscribed by Author(s). Journal.
Published by Arctic, 1991
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- Magazine / Periodical
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Add to basketPamphlet. Condition: Very Good. Vol 44, Suppl 1, pp. 15-28, Maps, Color Photos, 4to, Extracted from orig vol, thus begins with title page, trimmed & stapled pamphlet, else VG.

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Paperback. Condition: Good. Learn the core concepts of geospatial data analysis for building actionable and insightful GIS applications Key Features Create GIS solutions using the new features introduced in Python 3.7 Explore a range of GIS tools and libraries such as PostGIS, QGIS, and PROJ Learn to automate geospatial analysis workflows using Python and Jupyter Book DescriptionGeospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. With this systematic guide, you'll get started with geographic information system (GIS) and remote sensing analysis using the latest features in Python. This book will take you through GIS techniques, geodatabases, geospatial raster data, and much more using the latest built-in tools and libraries in Python 3.7. You'll learn everything you need to know about using software packages or APIs and generic algorithms that can be used for different situations. Furthermore, you'll learn how to apply simple Python GIS geospatial processes to a variety of problems, and work with remote sensing data. By the end of the book, you'll be able to build a generic corporate system, which can be implemented in any organization to manage customer support requests and field support personnel.What you will learn Automate geospatial analysis workflows using Python Code the simplest possible GIS in just 60 lines of Python Create thematic maps with Python tools such as PyShp, OGR, and the Python Imaging Library Understand the different formats that geospatial data comes in Produce elevation contours using Python tools Create flood inundation models Apply geospatial analysis to real-time data tracking and storm chasing Who this book is forThis book is for Python developers, researchers, or analysts who want to perform geospatial modeling and GIS analysis with Python. Basic knowledge of digital mapping and analysis using Python or other scripting languages will be helpful.…

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Seller: World of Books Inc, Montgomery, IL, U.S.A.World of Books Inc
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Paperback. Condition: Good. Learn the core concepts of geospatial data analysis for building actionable and insightful GIS applications Key Features Create GIS solutions using the new features introduced in Python 3.7 Explore a range of GIS tools and libraries such as PostGIS, QGIS, and PROJ Learn to automate geospatial analysis workflows using Python and Jupyter Book DescriptionGeospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. With this systematic guide, you'll get started with geographic information system (GIS) and remote sensing analysis using the latest features in Python. This book will take you through GIS techniques, geodatabases, geospatial raster data, and much more using the latest built-in tools and libraries in Python 3.7. You'll learn everything you need to know about using software packages or APIs and generic algorithms that can be used for different situations. Furthermore, you'll learn how to apply simple Python GIS geospatial processes to a variety of problems, and work with remote sensing data. By the end of the book, you'll be able to build a generic corporate system, which can be implemented in any organization to manage customer support requests and field support personnel.What you will learn Automate geospatial analysis workflows using Python Code the simplest possible GIS in just 60 lines of Python Create thematic maps with Python tools such as PyShp, OGR, and the Python Imaging Library Understand the different formats that geospatial data comes in Produce elevation contours using Python tools Create flood inundation models Apply geospatial analysis to real-time data tracking and storm chasing Who this book is forThis book is for Python developers, researchers, or analysts who want to perform geospatial modeling and GIS analysis with Python. Basic knowledge of digital mapping and analysis using Python or other scripting languages will be helpful.…

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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.
Published by The Laboratory for Applications of Remote Sensing., 1975
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Add to basketSoft cover. Condition: Good. ORIGINAL PUBLICATION; Softcovers; ex-library; light creasing of upper corner of covers and leaves; light foxing of edges; o/w in good condition. Book.

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Condition: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

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Neurocomputation in Remote Sensing Data Analysis : Proceedings of Concerted Action Compares (Connectionist Methods for Pre-processing and Analysis of Remote Sensing Data)
Kanellopoulos, Ioannis (EDT); Wilkinson, Graeme G. (EDT); Roli, Fabio (EDT); Austin, James (EDT)
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An Introduction to Spatial Data Analysis: Remote Sensing and GIS with Open Source Software (Data in the Wild)
Martin Wegmann,Jakob Schwalb-Willmann,Stefan Dech,Martin Wegmann,Jakob Schwalb-Willmann,Stefan Dech
Language: English
Published by Pelagic Publishing 2020-09-07, 2020
Series: Book 6 of 7 - Data in the Wild
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Paperback. Condition: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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Neurocomputation in Remote Sensing Data Analysis : Proceedings of Concerted Action Compares (Connectionist Methods for Pre-processing and Analysis of Remote Sensing Data)
Kanellopoulos, Ioannis (EDT); Wilkinson, Graeme G. (EDT); Roli, Fabio (EDT); Austin, James (EDT)
- Softcover
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Paperback or Softback. Condition: New. Neurocomputation in Remote Sensing Data Analysis: Proceedings of Concerted Action Compares (Connectionist Methods for Pre-Processing and Analysis of R. Book.

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Condition: New. 2020. Paperback. . . . . .

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