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Titlebook: Remote Sensing Application II; A Climate Change Per Tofael Ahamed Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusiv

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發(fā)表于 2025-3-21 18:52:03 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Remote Sensing Application II
副標題A Climate Change Per
編輯Tofael Ahamed
視頻videohttp://file.papertrans.cn/827/826880/826880.mp4
概述Presents recent developments and applications of machine learning and deep learning concepts for regional planning.Is especially useful for policy planning, graduate program research, and interdiscipl
叢書名稱New Frontiers in Regional Science: Asian Perspectives
圖書封面Titlebook: Remote Sensing Application II; A Climate Change Per Tofael Ahamed Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusiv
描述.This book focuses solely on the issues of agricultural productivity analysis with advanced modeling approaches bringing solutions to food-insecure regions of the world, especially in south and southeast Asia and in Africa. Advanced modeling tools and their use in regional planning provide an outstanding opportunity to help face the challenges of climate change. The sudden effect of flash floods, drought, salinity, and sea water rises causing saltwater intrusions and its impact on agricultural production are some of the disastrous results of climate change...In this edited volume, information on climate-induced impacts for flooding, flash floods, and drought impact on agricultural crops is provided to address possible solutions for food security in south Asia, southeast Asia, and some regions of Africa. Leading-edge research methodology is presented as it relates to remote sensing applications for regional science and allied fields. In regional policy planning, agriculture andforestry play key roles in food security along with environmental conservation and depend on geo-spatial variability. Satellite remote sensing and geographical information systems have an immense potential to
出版日期Book 2024
關(guān)鍵詞Deep Learning; Erosion Vulnerability; Crop Insurance; Satellite Remote Sensing; Fuzzy Expert System; Mach
版次1
doihttps://doi.org/10.1007/978-981-97-1188-8
isbn_softcover978-981-97-1190-1
isbn_ebook978-981-97-1188-8Series 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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An Assessment of Drought Stress in Tea Plantation Areas in Bangladesh Using Optical and Thermal Remormal, 35.90% for normal, and 25.64% for moderately dry months. In contrast, the Sreemangal meteorological station showed frequencies of 28.21%, 41.02%, and 30.77% for near-normal, normal, and moderately dry months, respectively. The correlation coefficients between the SMI and NDMI were 0.84, 0.77,
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Assessment of Land Use Land Cover Changes and Prediction of Vulnerable Agricultural Land in River Bght administrative divisions (Rangpur, Rajshahi, Mymensingh, Sylhet, Dhaka, Khulna, Barishal, and Chittagong) of Bangladesh, covering an area of 64,556 km.. The study was conducted by identifying permanent water bodies from NDWI indices and preparing LULC maps that include the five main land use cla
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Assessment of Shoreline and Agricultural Land Use Changes in the Onshore Coastal Region of Banglade, erosion, point distance, and near-feature analysis. We converted 16,550 baseline vertices to points as the study ground reference points (GRPs) and validated those points using the country data sheet collected from the Survey of Bangladesh (SoB). We observed that the delta’s shorelines were change
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