Spatial Intelligence for a Greener Planet : AI Applications in Environmental Pollution Mapping, Analysis and Mitigation / Chaurasia, Kuldeep (EDT)/ Garg, Pradeep Kumar (EDT)/ P V, Arun (EDT)

環境汚染マッピング、分析、緩和におけるＡＩのアプローチ<br>Spatial Intelligence for a Greener Planet : AI Applications in Environmental Pollution Mapping, Analysis and Mitigation

個数：

環境汚染マッピング、分析、緩和におけるＡＩのアプローチ
Spatial Intelligence for a Greener Planet : AI Applications in Environmental Pollution Mapping, Analysis and Mitigation

Chaurasia, Kuldeep (EDT)/ Garg, Pradeep Kumar (EDT)/ P V, Arun (EDT)

ウェブストア価格 ¥30,412（本体¥27,648）
CRC Press（2024/12発売）
外貨定価 US$ 150.00
ポイント 276pt

提携先の海外書籍取次会社に在庫がございます。通常3週間で発送いたします。
【重要ご説明事項】
1. 納期遅延や、ご入手不能となる場合が若干ございます。
2. 複数冊ご注文の場合、分割発送となる場合がございます。
3. 美品のご指定は承りかねます。

●3Dセキュア導入とクレジットカードによるお支払いについて

【入荷遅延について】
世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。

◆画像の表紙や帯等は実物とは異なる場合があります。

◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
また、洋書販売価格は、ご注文確定時点での日本円価格となります。
ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。

製本 Hardcover:ハードカバー版／ページ数 174 p.
言語 ENG
商品コード 9781032699981
DDC分類 363.70630284

Full Description

With rapid advancements in AI, this book reveals how AI can be a powerful tool in reducing pollution and fostering sustainability. It highlights the integration of geospatial techniques with AI for enhancing capabilities in mapping, analysis, and mitigation of environmental pollution. Starting with foundational concepts in AI, geospatial technology, and pollution, the book addresses air, water, soil and thermal pollution, emphasizing their harmful impacts. Through real-world case studies and advanced research, it showcases AI and geospatial technology's revolutionary role in pollution mitigation, exploring AI-driven sensors, satellite imagery, and associated networks for precise and efficient pollution monitoring and management.

Preface. Acknowledgement. Geospatial Approaches for Environmental Pollution Mapping, Analysis and Mitigation. AI-Driven Approaches for Pollution Mapping and Mitigation. Groundwater Quality and Human Health Risk Assessment in India: Leveraging GeoAI for Environmental Monitoring. An Integrated Stratagem for Soil Pollution Assessment Utilizing Geospatial Tools and Machine Learning Approach. Statistical Approach to Evaluate Spatio-Temporal Relationship of Crop Residue Burning and Land Surface Temperature Over a Decade: Case Study of Punjab. Land Resource Mapping Framework for Delhi City using Urban Sprawl Modelling Methods. Environmental Intelligence: Mapping the Transforming Landscape through Artificial Intelligence and Satellite Data. Exploring the Integration of Machine Learning for Environmental Pollution and Flood Risk Assessment: A Comprehensive Review. Geo-AI for Urban Planning. Spectral Unmixing for Pollution Assessment in Water Bodies. Assessing the Trend of Carbon Storage Changes from 1990 to 2020 Based on Land Use Changes: A Comparative Study between Hong Kong and Shenzhen. Harnessing AI in Decision Support Systems for Comprehensive Pollution Management. Index. About the Editors.