Remote Sensing and Digital Image Processing with R - Lab Manual
暫譯: 遙感與數位影像處理實驗手冊 (使用 R 語言)
de Carvalho Alves, Marcelo, Sanches, Luciana
- 出版商: CRC
- 出版日期: 2023-06-30
- 售價: $2,400
- 貴賓價: 9.5 折 $2,280
- 語言: 英文
- 頁數: 178
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032461241
- ISBN-13: 9781032461243
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相關分類:
R 語言、數位影像處理 Digital-image
海外代購書籍(需單獨結帳)
相關主題
商品描述
This Lab Manual is a companion to the textbook Remote Sensing and Digital Image Processing with R. It covers examples of natural resource data analysis applications including numerous practical, problem-solving exercises, and case studies that use the free and open-source platform R. The intuitive, structural workflow helps students better understand a scientific approach to each case study in the book and learn how to replicate, transplant, and expand the workflow for further exploration with new data, models, and areas of interest.
Features
1. Aims to expand theoretical approaches of remote sensing and digital image processing through multidisciplinary applications using R and R packages.
2. Engages students in learning theory through hands-on real-life projects.
3. All chapters are structured with solved exercises and homework and encourages readers to understand the potential and the limitations of the environments.
4. Covers data analysis in free and open-source (FOSS) R platform, which makes remote sensing accessible to anyone with a computer.
5. Explores current trends and developments in remote sensing in homework assignments with data to further explore the use of free multispectral remote sensing data, including very high spatial resolution information.
Undergraduate and graduate level students will benefit from the exercises in this lab manual, as they are applicable to a variety of subjects including environmental science, agriculture engineering, as well as natural and social sciences. Students will gain a deeper understanding, and first-hand experience, with remote sensing and digital processing with a learn-by-doing methodology using applicable examples in natural resources.
商品描述(中文翻譯)
這本實驗手冊是教科書《使用 R 的遙感與數位影像處理》的配套資料。它涵蓋了自然資源數據分析應用的範例，包括許多實用的問題解決練習和案例研究，這些都使用了免費且開源的平台 R。直觀的結構化工作流程幫助學生更好地理解書中每個案例研究的科學方法，並學習如何複製、移植和擴展工作流程，以便進一步探索新的數據、模型和興趣領域。
**特色**
1. 旨在通過使用 R 和 R 套件的多學科應用擴展遙感和數位影像處理的理論方法。
2. 透過實際的真實項目讓學生參與學習理論。
3. 所有章節都結構化為已解決的練習和作業，並鼓勵讀者理解環境的潛力和限制。
4. 涵蓋在免費和開源 (FOSS) R 平台上的數據分析，使遙感技術對任何擁有電腦的人都可及。
5. 在作業中探索遙感的當前趨勢和發展，並提供數據以進一步探索使用免費的多光譜遙感數據，包括非常高的空間解析度信息。
本科生和研究生將從這本實驗手冊中的練習中受益，因為這些練習適用於環境科學、農業工程以及自然和社會科學等多個學科。學生將通過使用自然資源中的適用範例，獲得更深入的理解和實際經驗，並採用學以致用的方法進行遙感和數位處理的學習。
作者簡介
Marcelo de Carvalho Alves
Dr. Alves is an associate professor at the Federal University de Lavras, Brazil. His education includes master's, doctoral, and post-doctoral degrees in Agricultural Engineering at Federal University of Lavras, Brazil. He has varied research interests and has published on surveying, remote sensing, geocomputation, and agriculture applications. He has over 20 years of extensive experience in data science, digital image processing, and modeling using multiscale, multidisciplinary, multispectral, and multitemporal concepts applied to different environments. Experimental field sites included a tropical forest, savanna, wetland, and agricultural fields in Brazil. His research has been predominantly funded by CNPq, CAPES, FAPEMIG, and FAPEMAT. Over the years, he has built a large portfolio of research grants, mostly relating to applied and theoretical remote sensing, broadly in the context of vegetation cover, plant diseases, and related impacts of climate change.
Luciana Sanches
Dr. Sanches graduated with a degree in Sanitary Engineering from the Federal University of Mato Grosso, Brazil, a master's degree in Sanitation, Environment, and Water Resources from the Federal University of Minas Gerais, a PhD in Road Engineering, Hydraulic Channels, and Ports from Universidad de Cantabria, Spain, a post-doctorate degree in Environmental Physics, Brazil, and a post-doctorate degree in Environmental Sciences from the University of Reading, United Kingdom. Her education includes postgraduate degreees in Workplace Safety Engineering at Federal University of Mato Grosso, Brazil, and in Project Development and Management for Municipal Water Resources Management by the National Water Agency, Brazil. She is currently an associate professor at the Federal University of Mato Grosso, and worked for more than 20 years in research on atmosphere-biosphere interaction, hydrometeorology in various temporal-spatial scales with interpretation based in environmental modeling and remote sensing. She has been applying remote sensing in teaching and research activities to support the interpretation of environmental dynamics.
作者簡介(中文翻譯)
**Marcelo de Carvalho Alves**
Alves博士是巴西拉夫拉斯聯邦大學的副教授。他擁有巴西拉夫拉斯聯邦大學的農業工程碩士、博士及博士後學位。他的研究興趣多樣，並在測量、遙感、地理計算及農業應用方面發表了多篇論文。他在數據科學、數位影像處理及建模方面擁有超過20年的豐富經驗，使用多尺度、多學科、多光譜及多時相的概念應用於不同環境。實驗場地包括巴西的熱帶森林、草原、濕地及農田。他的研究主要由CNPq、CAPES、FAPEMIG及FAPEMAT資助。多年來，他建立了大量的研究補助金組合，主要與應用及理論遙感有關，廣泛涉及植被覆蓋、植物疾病及氣候變遷相關影響。
**Luciana Sanches**
Sanches博士畢業於巴西馬托格羅索聯邦大學的衛生工程學士學位，並獲得巴西米納斯吉拉斯聯邦大學的衛生、環境及水資源碩士學位、西班牙坎塔布里亞大學的道路工程、水力通道及港口博士學位、巴西的環境物理學博士後學位，以及英國雷丁大學的環境科學博士後學位。她的教育背景還包括巴西馬托格羅索聯邦大學的職業安全工程研究生學位，以及巴西國家水資源局的市政水資源管理項目開發與管理研究生學位。她目前是巴西馬托格羅索聯邦大學的副教授，並在大氣-生物圈互動、各種時間-空間尺度的水文氣象學研究方面工作了超過20年，基於環境建模和遙感進行解釋。她在教學和研究活動中應用遙感，以支持對環境動態的解釋。
