Titlebook: Digital Mapping of Soil Landscape Parameters; Geospatial Analyses Pradeep Kumar Garg,Rahul Dev Garg,Hari Shanker Sri Book 2020 The Editor(

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https://doi.org/10.1007/978-981-15-3238-2Digital Mapping; Soil-landscape Parameters; Prediction Model; Environmental Covariates; Remote Sensing a

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978-981-15-3240-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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Digital Mapping of Soil Landscape Parameters978-981-15-3238-2Series ISSN 2197-6503 Series E-ISSN 2197-6511

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https://doi.org/10.1057/9780230593305ith Earth’s limited land to grow enough food, produce enough energy, and still preserve some of the species (both plant and animal) on the planet. The United Nation’s latest estimates state that there are 7.6 billion people jostling for space on Earth at present and that number will rise to 9.8 bill

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4Real: Performance and Authenticity scientific way to give better and increased returns there is no hope of human survival. The following chapter focuses on effective implementation of prediction algorithms for crop cover mapping. The various methods that have been, or could be used for crop cover mapping are discussed. The potential