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Pattern-Based Compression of Multi-Band Image Data for Landscape Analysis (2006)

Pattern-Based Compression of Multi-Band Image Data for Landscape Analysis

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"Pattern-Based Compression of Multi-Band Image Data for Landscape Analysis" by Wayne L. Myers, Ganapati P. Patil is a mathematics book and learning resource focused on Astronomical Data. Best for teachers, students, and readers looking for stronger mathematical understanding.

This book describes an integrated approach to using remotely sensed data in conjunction with geographic information systems for landscape analysis. Remotely sensed data are compressed into an analytical image-map that is compatible with the most popular geographic information systems as well as freeware viewers. The approach is most effective for landscapes that exhibit a pronounced mosaic pattern of land cover.

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Best For: Researchers and professionals working with remote sensing data and geographic information systems in landscape analysis.
Focus: Integrating remotely sensed data compression with geographic information systems for effective landscape analysis.
Covers: Methods for compressing multi-band image data into analytical image-maps compatible with popular GIS and freeware viewers, focusing on landscapes with mosaic land cover patterns.
Why It Matters: Facilitates efficient handling and analysis of complex landscape data by combining data compression and GIS compatibility, improving landscape pattern recognition and study.

"Pattern-Based Compression of Multi-Band Image Data for Landscape Analysis" by Wayne L. Myers, Ganapati P. Patil is a mathematics book and learning resource focused on Astronomical Data. Best for teachers, students, and readers looking for stronger mathematical understanding.

Topic: Astronomical Data

Author: Wayne L. Myers, Ganapati P. Patil

Who this is for:

  • Teachers and classroom instructors
  • Students building subject mastery
  • Readers looking for practical learning support

Why this book matters: It stands out as a practical math resource that helps explain concepts, strengthen problem-solving, and support classroom or independent learning.

This book describes an integrated approach to using remotely sensed data in conjunction with geographic information systems for landscape analysis. Remotely sensed data are compressed into an analytical image-map that is compatible with the most popular geographic information systems as well as freeware viewers. The approach is most effective for landscapes that exhibit a pronounced mosaic pattern of land cover.

AuthorWayne L. Myers, Ganapati P. Patil
PublisherSpringer
Published2006-10-25
ISBN-139780387444345
BindingHardcover
Pages190
LanguageEnglish
SubjectsScience
TopicAstronomical Data
SeriesEnvironmental and Ecological Statistics

Format: Hardcover

Length: 190 pages

Language: English

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