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Titlebook: Remote Sensing and GIScience; Challenges and Futur Pavan Kumar,Haroon Sajjad,Meenu Rani Book 2021 The Editor(s) (if applicable) and The Aut

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發(fā)表于 2025-3-21 17:44:18 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Remote Sensing and GIScience
副標(biāo)題Challenges and Futur
編輯Pavan Kumar,Haroon Sajjad,Meenu Rani
視頻videohttp://file.papertrans.cn/827/826906/826906.mp4
概述Offers insights into GIScience technology for applications in forestry, agriculture and water.Highlights recent developments in geo-spatial techniques for sustainable development.Helps to advance the
圖書(shū)封面Titlebook: Remote Sensing and GIScience; Challenges and Futur Pavan Kumar,Haroon Sajjad,Meenu Rani Book 2021 The Editor(s) (if applicable) and The Aut
描述.This book covers several themes related to forestry, agriculture, water, soil, urban, and atmospheric research.?GIScience technology systems have increased in significance in recent decades and have the ability to acquire information at ground level with a higher spectral resolution using a field radio-spectrometer, which is a great improvement compared to other remote sensing systems.?GIScience technology systems are?widely used for solving and understanding the concept of forestry, crop, water resources, and related research themes.?This book aims to advance the scientific understanding of GIScience technology and applications.?The chapters present GIScience data integration with other sources such as LiDAR, Multi-spectral data and their applications in forestry, crop assessment, soil assessment, mineral mapping and related themes.?The book will be of interest to geospatial experts, modellers, foresters, agricultural scientists, hyperspectral remote sensing and space community, ecologists and conservation communities, environmental consultants, big data compilers, and computing experts.?.
出版日期Book 2021
關(guān)鍵詞Applied Earth Sciences; Applied Natural Science; Challenges and Future Dirctions; Environmental systems
版次1
doihttps://doi.org/10.1007/978-3-030-55092-9
isbn_softcover978-3-030-55094-3
isbn_ebook978-3-030-55092-9
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書(shū)目名稱(chēng)Remote Sensing and GIScience影響因子(影響力)




書(shū)目名稱(chēng)Remote Sensing and GIScience影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Remote Sensing and GIScience網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Remote Sensing and GIScience網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Remote Sensing and GIScience被引頻次




書(shū)目名稱(chēng)Remote Sensing and GIScience被引頻次學(xué)科排名




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https://doi.org/10.1007/978-3-030-55092-9Applied Earth Sciences; Applied Natural Science; Challenges and Future Dirctions; Environmental systems
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Book 2021reased in significance in recent decades and have the ability to acquire information at ground level with a higher spectral resolution using a field radio-spectrometer, which is a great improvement compared to other remote sensing systems.?GIScience technology systems are?widely used for solving and
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Assessment of Vegetation Vigor Using Integrated Synthetic Aperture Radarsation vigor. Accurate and precise assessment of biomass is henceforth important for specifying the health of vegetation that is indicative of a collection of several environmental factors. Remote sensing has currently emerged to be the most important and widely utilized tool for biomass assessment.
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Landslide Susceptibility Mapping Using Bivariate Frequency Ratio Model and Geospatial Techniques: A nglong West district in Assam, India. Past landslide locations were extracted from the landslide hazard zonation map of Assam for preparing landslide susceptibility. Of the total past landslide locations, 70% locations were utilized for building the model and 30% locations for validating landslide s
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