Digital Mapping of Soil Landscape Parameters

Geospatial Analyses using Machine Learning and Geomatics

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Springer


Paru le : 2020-02-20



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Ce livre traite de la cartographie des paramètres sol-paysage dans le domaine géospatial. Il commence par discuter des concepts fondamentaux, puis explique comment l'apprentissage des machines et la géomatique peuvent être appliqués pour une cartographie plus efficace et pour améliorer notre compréhension et notre gestion des "sols". L'utilisation judicieuse d'une parcelle de terre est l'un des plus grands et des plus importants défis actuels, en particulier à la lumière de l'urbanisation mondiale rapide, qui exige un suivi continu de la consommation des ressources. Le livre donne un aperçu clair de la façon dont l'apprentissage machine peut être utilisé pour analyser les données de télédétection afin de surveiller les paramètres clés, sous, à et au-dessus de la surface. Il offre non seulement un aperçu des approches, mais permet également aux lecteurs de se renseigner sur les défis et les problèmes liés à la cartographie numérique de ces paramètres et de mieux comprendre la sélection des données pour représenter les relations sol-paysage ainsi que les liens complexes et interconnectés entre les paramètres sol-paysage dans une série de conditions pédologiques et climatiques. Enfin, l'ouvrage fait la lumière sur l'utilisation du réseau d'observation de la Terre par satellite pour apporter des solutions en faveur d'une agriculture et d'une gestion des terres intelligentes.


Pages
142 pages
Collection
n.c
Parution
2020-02-20
Marque
Springer
EAN papier
9789811532375
EAN PDF
9789811532382

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
5857 Ko
Prix
149,79 €
EAN EPUB
9789811532382

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
23583 Ko
Prix
149,79 €

Professor Pradeep Kumar Garg is faculty in Civil Engineering Department of Indian Institute of Technology, Roorkee. He has also served as vice chancellor, Uttarakhand Technical University, Dehradun. He completed his B.Tech. in 1980 and his M.Tech. in 1982, both from the University of Roorkee, India (now IIT Roorkee). He did a Ph.D. from University of Bristol, UK, and postdoctoral research work at the University of Reading, UK. He joined the Department of Civil Engineering at IIT Roorkee in 1982. Dr. Garg has published about 93 research papers, guided 7 Ph.D. thesis, 47 M.Tech. thesis, authored one textbook on Remote Sensing, organized 22 training programmes, and prepared two educational films under UGC programme. He has completed 13 research projects and 25 consultancy projects. He is Fellow member of 5 Technical Societies and life member of 15 Technical Societies. His main areas of research interest are remote sensing and GIS applications. 

Professor Rahul Dev Garg is faculty in Civil Engineering Department of Indian Institute of Technology, Roorkee. He graduated with a bachelor’s in technology in Civil Engineering in 1989, master’s in technology in 1993, and a Ph.D. in 2004 from IIT Roorkee. He has also served as a scientist from 1993 to 2007 in Indian Institute of Remote Sensing (IIRS), Dehradun. Dr. Garg has published about 110 research papers, guided 8 Ph.D. thesis, 47 M.Tech. thesis, authored one textbook on Remote Sensing, organized 22 training programmes, and prepared two educational films under UGC programme. He has completed 11 research projects and 24 consultancy projects. He is Fellow member of 3 Technical Societies and life member of 10 Technical Societies. His main areas of interest are land surveying, remote sensing, GIS, GPS, digital image processing, SAR interferometry, and GPR. 

Dr. Gaurav Shukla is currently working as a faculty member in surveying and geomatics section, Civil Engineering Department, Maharishi Markandeshwar (Deemed to be University) University, Mullana, Haryana, India. He is also a nodal coordinator of MHRD initiative, virtual lab programme. He is postgraduated in geomatics from the Indian Institute of Technology (ISM), Dhanbad, in 2011 and completed his Ph.D. from Indian Institute of Technology, Roorkee, India, in 2018. Dr. Shukla has published 7 journal papers and organized 2 training programmes. His main areas of research interest include nonparametric approaches to retrieval of Earth’s parameters, GNSS reflectometry, remote sensing, and GIS applications. 

Dr. Hari Shanker Srivastava (Scientist G) is currently working as Scientist/Engineer-SG  in Agriculture and Soils Department of Indian Institute of Remote Sensing (IIRS), Indian Space Research Organization (ISRO), Dehradun, India. He did a Ph.D. in Physics on synthetic aperture radar. He explored multiparametric microwave data from ground-based scatterometer, RADARSAT-2, hybrid polarimetric RISAT-1 SAR, passive AMSR-E and SMOS for various applications in agriculture, soil moisture, surface roughness, forestry, wetland, and human settlement.

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