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Titlebook: Remote Sensing Application; Regional Perspective Tofael Ahamed Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive l

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發(fā)表于 2025-3-21 20:05:40 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Remote Sensing Application
副標(biāo)題Regional Perspective
編輯Tofael Ahamed
視頻videohttp://file.papertrans.cn/827/826879/826879.mp4
概述Presents modeling approaches and detailed explanations that researchers can apply in their own work.Introduces machine learning and deep learning concepts to establish a big data analytical platform f
叢書名稱New Frontiers in Regional Science: Asian Perspectives
圖書封面Titlebook: Remote Sensing Application; Regional Perspective Tofael Ahamed Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive l
描述.This book focuses solely on the issues of agriculture and forest productivity analysis with advanced modeling approaches to bring solutions to food-insecure regions of South and Southeast Asia. Advanced modeling tools and their use in regional planning provide an outstanding opportunity to contribute toward food production and environments. In this book, leading-edge research methodologies related to remote sensing and geospatial variability of soil, water, and regional agricultural production indicators and their applications are introduced together—a unique feature of the book is the domain of regional policy perspectives and allied fields. In regional policy planning,?agriculture and forestry have a key role in food security and environmental conservation that depends on the geo-spatial variability of these factors. ?Over the years, nature and climate have determined the variability of soil type, soil quality, geographical deviation for habitat, water quality, water sources, urban influences, population growth, carbon stock levels, and water resources with rain-fed or irrigated land use practices.??In addition, human nutritional values and dietary habits have brought cultural a
出版日期Book 2022
關(guān)鍵詞Satellite Remote Sensing; Geographical Information; Regional Agricultural; Forestry Planning; Machine Le
版次1
doihttps://doi.org/10.1007/978-981-19-0213-0
isbn_softcover978-981-19-0215-4
isbn_ebook978-981-19-0213-0Series ISSN 2199-5974 Series E-ISSN 2199-5982
issn_series 2199-5974
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Tofael AhamedPresents modeling approaches and detailed explanations that researchers can apply in their own work.Introduces machine learning and deep learning concepts to establish a big data analytical platform f
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Book 2022nsecure regions of South and Southeast Asia. Advanced modeling tools and their use in regional planning provide an outstanding opportunity to contribute toward food production and environments. In this book, leading-edge research methodologies related to remote sensing and geospatial variability of
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2199-5974 rning concepts to establish a big data analytical platform f.This book focuses solely on the issues of agriculture and forest productivity analysis with advanced modeling approaches to bring solutions to food-insecure regions of South and Southeast Asia. Advanced modeling tools and their use in regi
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Calorie-Based Seasonal Multicrop Land Suitability Analysis Using GIS and Remote Sensing for Regionan countries. The purpose of this research is to develop a seasonal land use planning model incorporating diversified crops for regional self-sufficiency based on land suitability and a balanced calorie demand. A multicriteria decision-making analysis was undertaken, and multicrop land planning maps
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Agricultural Land Suitability Assessment Using Satellite Remote Sensing-Derived Soil-Vegetation Indgricultural sectors. However, misinformed land selection decisions limit crop yields and increase production-related costs to farmers. Therefore, the purpose of this research was to develop a land suitability assessment system using satellite remote sensing-derived soil-vegetation indicators. A mult
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