找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

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

[復(fù)制鏈接]
查看: 35709|回復(fù): 36
樓主
發(fā)表于 2025-3-21 18:17:30 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Digital Mapping of Soil Landscape Parameters
副標(biāo)題Geospatial Analyses
編輯Pradeep Kumar Garg,Rahul Dev Garg,Hari Shanker Sri
視頻videohttp://file.papertrans.cn/280/279545/279545.mp4
概述Provides a framework for model development for key parameters, below, at and above the surface.Presents color images for better visual interpretation and learning.Includes sample satellite images for
叢書(shū)名稱Studies in Big Data
圖書(shū)封面Titlebook: Digital Mapping of Soil Landscape Parameters; Geospatial Analyses  Pradeep Kumar Garg,Rahul Dev Garg,Hari Shanker Sri Book 2020 The Editor(
描述.This book addresses the mapping of soil-landscape parameters in the geospatial domain. It begins by discussing the fundamental concepts, and then explains how machine learning and geomatics can be applied for more efficient mapping and to improve our understanding and management of ‘soil’. The judicious utilization of a piece of land is one of the biggest and most important current challenges, especially in light of the rapid global urbanization, which requires continuous monitoring of resource consumption. The book provides a clear overview of how machine learning can be used to analyze remote sensing data to monitor the key parameters, below, at, and above the surface. It not only offers insights into the approaches, but also allows readers to learn about the challenges and issues associated with the digital mapping of these parameters and to gain a better understanding of the selection of data to represent soil-landscape relationships as well as the complex and interconnected links between soil-landscape parameters under a range of soil and climatic conditions. Lastly, the book sheds light on using the network of satellite-based Earth observations to provide solutions toward sm
出版日期Book 2020
關(guān)鍵詞Digital Mapping; Soil-landscape Parameters; Prediction Model; Environmental Covariates; Remote Sensing a
版次1
doihttps://doi.org/10.1007/978-981-15-3238-2
isbn_softcover978-981-15-3240-5
isbn_ebook978-981-15-3238-2Series ISSN 2197-6503 Series E-ISSN 2197-6511
issn_series 2197-6503
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

書(shū)目名稱Digital Mapping of Soil Landscape Parameters影響因子(影響力)




書(shū)目名稱Digital Mapping of Soil Landscape Parameters影響因子(影響力)學(xué)科排名




書(shū)目名稱Digital Mapping of Soil Landscape Parameters網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Digital Mapping of Soil Landscape Parameters網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Digital Mapping of Soil Landscape Parameters被引頻次




書(shū)目名稱Digital Mapping of Soil Landscape Parameters被引頻次學(xué)科排名




書(shū)目名稱Digital Mapping of Soil Landscape Parameters年度引用




書(shū)目名稱Digital Mapping of Soil Landscape Parameters年度引用學(xué)科排名




書(shū)目名稱Digital Mapping of Soil Landscape Parameters讀者反饋




書(shū)目名稱Digital Mapping of Soil Landscape Parameters讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:49:37 | 只看該作者
4Real: Performance and Authenticityprediction algorithms for crop cover mapping. The various methods that have been, or could be used for crop cover mapping are discussed. The potential indicators that have been, or could be, used in crop prediction modelling are also discussed.
板凳
發(fā)表于 2025-3-22 01:26:17 | 只看該作者
地板
發(fā)表于 2025-3-22 05:48:30 | 只看該作者
5#
發(fā)表于 2025-3-22 12:15:56 | 只看該作者
6#
發(fā)表于 2025-3-22 15:35:17 | 只看該作者
Prediction Models for Crop Mapping,prediction algorithms for crop cover mapping. The various methods that have been, or could be used for crop cover mapping are discussed. The potential indicators that have been, or could be, used in crop prediction modelling are also discussed.
7#
發(fā)表于 2025-3-22 19:10:01 | 只看該作者
8#
發(fā)表于 2025-3-23 00:39:51 | 只看該作者
Performance, Gender and Rock MusicModel performance depends on the variables used to represent soil–landscape relationships.
9#
發(fā)表于 2025-3-23 04:20:05 | 只看該作者
Different Approaches on Digital Mapping of Soil-Landscape Parameters,In soil-landscape parameters mapping, the implementation of geomatics-GIS, GPS, remote sensing, and DEM, suggests new alternatives. Different approaches have been applied for retrieval of soil-landscape parameters. In recent years, machine learning algorithms have received increasing attention for digital mapping.
10#
發(fā)表于 2025-3-23 08:12:07 | 只看該作者
Selection of Suitable Variables and Their Development,Model performance depends on the variables used to represent soil–landscape relationships.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-29 07:42
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
道真| 饶平县| 天台县| 兴安县| 甘孜县| 南岸区| 西峡县| 视频| 太保市| 新泰市| 扎鲁特旗| 武川县| 永春县| 江津市| 高阳县| 舒城县| 红河县| 开化县| 安吉县| 阿尔山市| 武邑县| 社旗县| 台山市| 潞城市| 永嘉县| 亳州市| 桐城市| 寻乌县| 翼城县| 清水河县| 久治县| 沁源县| 思南县| 新野县| 阿拉善左旗| 乌鲁木齐县| 吐鲁番市| 镇远县| 萨迦县| 合作市| 万盛区|