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

GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

51
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...
51
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

27
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
27
Topographic Surveying and Contours01:29

Topographic Surveying and Contours

66
Topographic surveying is critical for documenting the Earth's surface, focusing on capturing elevations, slopes, and natural and man-made features. It is essential in construction planning, water resource management, and land-use analysis. The primary outcome of such surveys is a topographic map, which uses contour lines to visually represent the shape and slope of the terrain, providing valuable insights into the landscape's characteristics.Contour lines are fundamental to understanding the...
66
Levels of Use of a GIS01:29

Levels of Use of a GIS

46
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
46
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

41
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...
41
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

47
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
47

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

Publisher Correction: Landscape fire emissions from the 5th version of the Global Fire Emissions Database (GFED5).

Scientific data·2026
Same author

Landscape fire emissions from the 5<sup>th</sup> version of the Global Fire Emissions Database (GFED5).

Scientific data·2025
Same author

Unprecedentedly high global forest disturbance due to fire in 2023 and 2024.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Satellite artifacts modulate FireCCILT11 global burned area.

Nature communications·2024
Same author

FireCCILT11 artifacts may confound the link between biomass burning and infant mortality.

Proceedings of the National Academy of Sciences of the United States of America·2023
Same author

Spatial variations in vegetation fires and emissions in South and Southeast Asia during COVID-19 and pre-pandemic.

Scientific reports·2022

相关实验视频

Updated: Jun 18, 2025

Sampling Soils in a Heterogeneous Research Plot
07:11

Sampling Soils in a Heterogeneous Research Plot

Published on: January 7, 2019

34.4K

GloCAB 耕地田间边界数据集

Joanne V Hall1, Fernanda Argueta1, Louis Giglio1

  • 1Department of Geographical Sciences, University of Maryland, 2181 Samuel J. LeFrak Hall, 7251 Preinkert Drive, College Park, MD 20742, United States of America.

Data in brief
|August 2, 2024
PubMed
概括

这项研究提供了五个国家的190,832个手动数字化农田田边界的大数据集. 这些数字化的田间边界对于机器学习分析和全球了解耕地特征是有价值的.

科学领域:

  • 农业科学 农业科学
  • 遥感 遥感 遥感 遥感
  • 地理空间分析是什么

背景情况:

  • 准确的耕地田间边界数据对于农业监测和分析至关重要.
  • 现有的数据集可能缺乏全面全球研究所需的规模或细节.
  • 全球耕地被烧毁面积 (GloCAB) 产品计划为农业研究产生了有价值的副产品.

研究的目的:

  • 创建和发布一个手动数字化农田田边界的综合数据集.
  • 为基于机器学习的现场大小分析提供资源.
  • 为了使农田在不同地理和作物类型的田间特征的导出.

主要方法:

  • 190,832个农田田边界的手动数字化.
  • 利用20米的Sentinel-2卫星图像进行数字化.
  • 数据收集来自巴西,乌克兰,美国,加拿大和俄罗斯的22个地区.
  • 涵盖了各种主要的作物类型和时间段.

主要成果:

  • 创建了一个由190,832个人工数字化农田田边界的数据集.
  • 数据集涵盖5个国家,包括从74平方公里到38000平方公里的区域.
  • 场边界在Sentinel-2图像上被数字化,提供了高分辨率的空间信息.
关键词:
农田田地边界 农田田地边界 农田地边界地理信息系统是一个地理信息系统.手动数字化的场边界.遥感是一种远程传感.哨兵-2 卫星 卫星-2 卫星

更多相关视频

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management
08:09

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

Published on: September 12, 2017

11.8K
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

10.2K

相关实验视频

Last Updated: Jun 18, 2025

Sampling Soils in a Heterogeneous Research Plot
07:11

Sampling Soils in a Heterogeneous Research Plot

Published on: January 7, 2019

34.4K
Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management
08:09

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

Published on: September 12, 2017

11.8K
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

10.2K

结论:

  • 发布的田间边界数据集是农业研究的宝贵资源.
  • 它可以作为机器学习模型的训练数据,用于分析字段大小.
  • 该数据集有助于在全球范围内研究耕地特征.