Remote Sensing Data Analysis in R
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| Title: | Remote Sensing Data Analysis in R |
|---|---|
| Description: | This book offers a comprehensive and detailed guide for users to perform remote sensing and GIS operations using free and open-source software, specifically R. It is suitable for users who have a basic understanding of remote sensing and GIS but have limited knowledge of R software. The book introduces the R software and provides step-by-step instructions for downloading and installing it. It offers R-codes for tasks such as loading and plotting both raster and vector data, pre-processing and filtering raster data, processing vector data, unsupervised and supervised classification of raster data, and thematic mapping of both raster and vector data. Furthermore, it provides R-codes for advanced machine learning algorithms like random forest and support vector machine for supervised classification of raster data. This book is ideal for users who do not have access to expensive paid software for GIS and digital image processing. An additional DVD with sample data for practice is included, allowing users to gain hands-on experience with the R-codes provided in the book. This book can also serve as a useful training manual for performing digital image analysis and GIS operations using R software. |
| Authors: | Alka Rani, Nirmal Kumar, S.K. Singh, N.K. Sinha, R.K. Jena, Himesh Patra |
| Resource Type: | eBook. |
| Subjects: | R (Computer program language), Remote sensing |
| Categories: | TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
|---|---|
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| Items | – Name: Title Label: Title Group: Ti Data: Remote Sensing Data Analysis in R – Name: Abstract Label: Description Group: Ab Data: This book offers a comprehensive and detailed guide for users to perform remote sensing and GIS operations using free and open-source software, specifically R. It is suitable for users who have a basic understanding of remote sensing and GIS but have limited knowledge of R software. The book introduces the R software and provides step-by-step instructions for downloading and installing it. It offers R-codes for tasks such as loading and plotting both raster and vector data, pre-processing and filtering raster data, processing vector data, unsupervised and supervised classification of raster data, and thematic mapping of both raster and vector data. Furthermore, it provides R-codes for advanced machine learning algorithms like random forest and support vector machine for supervised classification of raster data. This book is ideal for users who do not have access to expensive paid software for GIS and digital image processing. An additional DVD with sample data for practice is included, allowing users to gain hands-on experience with the R-codes provided in the book. This book can also serve as a useful training manual for performing digital image analysis and GIS operations using R software. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Alka+Rani%22">Alka Rani</searchLink><br /><searchLink fieldCode="AR" term="%22Nirmal+Kumar%22">Nirmal Kumar</searchLink><br /><searchLink fieldCode="AR" term="%22S%2EK%2E+Singh%22">S.K. Singh</searchLink><br /><searchLink fieldCode="AR" term="%22N%2EK%2E+Sinha%22">N.K. Sinha</searchLink><br /><searchLink fieldCode="AR" term="%22R%2EK%2E+Jena%22">R.K. Jena</searchLink><br /><searchLink fieldCode="AR" term="%22Himesh+Patra%22">Himesh Patra</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22R+%28Computer+program+language%29%22">R (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+sensing%22">Remote sensing</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Remote+Sensing+%26+Geographic+Information+Systems%22">TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 621.3678 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: R (Computer program language) Type: general – SubjectFull: Remote sensing Type: general Titles: – TitleFull: Remote Sensing Data Analysis in R Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Alka Rani – PersonEntity: Name: NameFull: Nirmal Kumar – PersonEntity: Name: NameFull: S.K. Singh – PersonEntity: Name: NameFull: N.K. Sinha – PersonEntity: Name: NameFull: R.K. Jena – PersonEntity: Name: NameFull: Himesh Patra – PersonEntity: Name: NameFull: Alka Rani – PersonEntity: Name: NameFull: Nirmal Kumar – PersonEntity: Name: NameFull: S.K. Singh – PersonEntity: Name: NameFull: N.K. Sinha – PersonEntity: Name: NameFull: R.K. Jena – PersonEntity: Name: NameFull: Himesh Patra IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2021 – D: 18 M: 03 Type: profile Y: 2021 Identifiers: – Type: isbn-print Value: 9789389571790 – Type: isbn-electronic Value: 9789390175772 Titles: – TitleFull: Remote Sensing Data Analysis in R Type: main |
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