Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Field Application of Global Positioning System01:28

Field Application of Global Positioning System

24
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
24
GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

39
A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
39
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

44
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
44

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Multidimensional Classification of Insulin Resistance (MCIR) Focused on Therapeutic Targets and Interventions-A Comprehensive Review.

International journal of molecular sciences·2026
Same author

When spectral libraries are too complex to search: Evolutionary subset selection for domain-adaptive calibration.

Analytica chimica acta·2026
Same author

Continental-Scale Evidence of Farm Management Impacts on Soil Carbon.

Global change biology·2026
Same author

A novel methodological framework for predicting and mapping agriculture-related soil attributes using Euclidean distance, regular grids, and machine learning algorithms.

PloS one·2026
Same author

Lithocholic Acid-Derived Imidazolium Salts Suppress Breast Cancer Growth: In Vitro and In Vivo Evaluation.

Pharmaceutical research·2026
Same author

Macroecological processes impact Australian soil resistomes and climatically stable regions with anthropogenic activities serve as ARG hotspots.

The ISME journal·2026

相关实验视频

Updated: May 26, 2025

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

3.7K

一个基于空间感应的全球土壤光谱网格.

José A M Demattê1, Rodnei Rizzo2, Nícolas Augusto Rosin1

  • 1Department of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil.

The Science of the total environment
|February 21, 2025
PubMed
概括

科学家们使用40年的Landsat卫星数据创建了第一个全球裸土光谱图. 这张地图显示了全球10种光谱土壤模式,有助于土壤管理和气候研究.

关键词:
农业环境政策 农业环境政策数字土壤绘制地图地球观测 地球观测 地球观测土壤反射频谱的使用方法土壤安全土壤安全

更多相关视频

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.1K
RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
11:37

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

Published on: August 8, 2017

16.1K

相关实验视频

Last Updated: May 26, 2025

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

3.7K
Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.1K
RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
11:37

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

Published on: August 8, 2017

16.1K

科学领域:

  • 地球科学 地球科学 地球科学
  • 遥感 遥感 遥感 遥感
  • 土壤科学 土壤科学

背景情况:

  • 土壤对生态系统服务至关重要,包括气候调节.
  • 先进的技术对于土壤保护和恢复至关重要.
  • 需要赤裸土壤的全球光谱图来进行全面的土壤分析.

研究的目的:

  • 开发全球赤裸土壤的第一个高分辨率光谱网格.
  • 为了识别全球赤裸土的光谱模式和影响因素.
  • 展示土壤光谱数据在各种环境和农业领域的应用.

主要方法:

  • 来自Landsat图像的全球40年 (1984-2022) 时空卫星数据立方体的处理.
  • 使用地理空间土壤传感系统 (GEOS3) 通过计算像素中位数来创建30米复合土壤图像.
  • 分析光谱图案及其与环境因素的相关性.

主要成果:

  • 创建了一个全球裸露土壤地图,覆盖了世界上90%的干旱地区,揭示了10种不同的光谱图案.
  • 确定了植物残留物和未知的土壤模式作为影响土壤反射力的关键因素.
  • 确定海拔和短波红外线 (SWIR2) 频段是对土壤推断具有高度影响力的光谱和地理空间代理.

结论:

  • 谱状土壤网格为全球土壤状况提供了前所未有的信息来源.
  • 频谱群与气候,土地利用,地质和地形等环境因素有很大关系.
  • 获得的信息支持对土壤属性的建模,有利于土壤测量,农业,侵蚀监测和气候变化研究.