Remote Sensing and Digital Image Processing with R - Lab Manual

de Carvalho Alves, Marcelo, Sanches, Luciana

  • 出版商: CRC
  • 出版日期: 2023-06-30
  • 售價: $2,350
  • 貴賓價: 9.5$2,233
  • 語言: 英文
  • 頁數: 178
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032461241
  • ISBN-13: 9781032461243
  • 相關分類: R 語言數位影像處理 Digital-image
  • 下單後立即進貨 (約2~4週)

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《遙感與數位影像處理與R語言》的配套資料。它涵蓋了自然資源數據分析應用的例子,包括許多實際的問題解決練習和案例研究,使用了免費且開源的R平台。直觀的結構化工作流程有助於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,以進一步探索新的數據、模型和感興趣的領域。

特點:
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. 通過實際項目使學生參與學習理論。
3. 所有章節都有解答練習和作業,鼓勵讀者理解環境的潛力和限制。
4. 使用免費且開源的R平台進行數據分析,使遙感技術對任何有電腦的人都可用。
5. 在作業中探索遙感的當前趨勢和發展,並使用數據進一步探索免費多光譜遙感數據的使用,包括非常高的空間分辨率信息。

本實驗手冊的練習對本科和研究生學生都有益處,適用於各種學科,包括環境科學、農業工程以及自然和社會科學。學生將通過應用實例在自然資源領域中深入理解和第一手經驗,學習遙感和數位處理的方法。

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。他在巴西拉夫拉斯聯邦大學獲得了農業工程的碩士、博士和博士後學位。他的研究興趣廣泛,並在測量、遙感、地理計算和農業應用等領域發表了論文。他在數據科學、數字影像處理和建模方面擁有超過20年的豐富經驗,並應用多尺度、多學科、多光譜和多時序的概念在不同環境中進行研究。他的實驗場地包括巴西的熱帶雨林、草原、濕地和農田。他的研究主要由CNPq、CAPES、FAPEMIG和FAPEMAT資助。多年來,他建立了一個龐大的研究項目組合,主要涉及應用和理論遙感,廣泛涉及植被覆蓋、植物疾病和氣候變化相關影響。

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,獲得了巴西米納斯吉拉斯聯邦大學的衛生、環境和水資源碩士學位,西班牙坎塔布里亞大學的道路工程、水利渠道和港口博士學位,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場安全工程研究生學位,以及巴西國家水資源管理局的市政水資源管理項目開發和管理研究生學位。她目前是巴西馬托格羅索聯邦大學的副教授,並在大氣-生物圈相互作用、各種時空尺度的水文氣象學研究中應用環境建模和遙感技術進行解釋。她一直在教學和研究活動中應用遙感技術,以支持對環境動態的解釋。