登录查看更多内容

What are the most promising remote sensing tools for GIS professionals?

由人工智能和领英社区提供技术支持

Remote sensing is the process of acquiring and analyzing data about the Earth's surface and atmosphere without direct contact. It is a vital source of information for geographic information systems (GIS) professionals, who use spatial data to create, manage, and visualize maps and models. Remote sensing tools are constantly evolving, offering new possibilities and challenges for GIS applications. In this article, we will explore some of the most promising remote sensing tools for GIS professionals, based on their functionality, accessibility, and potential impact.

此文章中的业界达人

由社区从 5 条内容中精选。了解更多

Oluwatosin Orenaike

DTM | Spatial Data Science | Web Dev

1 Satellite imagery

Satellite imagery is one of the most widely used and versatile remote sensing tools for GIS professionals. It provides global coverage, high resolution, and frequent updates of the Earth's surface. Satellite imagery can be used for various GIS applications, such as land use and cover mapping, environmental monitoring, disaster management, urban planning, and more. Satellite imagery can also be combined with other remote sensing tools, such as radar and lidar, to enhance the accuracy and detail of the data. Some of the most popular satellite imagery platforms for GIS professionals include Landsat, Sentinel, MODIS, and Planet.

添加您的观点

Oluwatosin Orenaike

DTM | Spatial Data Science | Web Dev
举报内容
In my view, ethical and privacy considerations are currently being somewhat overlooked. As remote sensing technology advances, ethical and privacy issues are becoming more prominent. It's crucial for GIS professionals to be cognizant of and actively address these concerns. This is particularly vital when handling high-resolution data that has the potential to identify individual properties or people. We must ensure that our efforts to provide solutions do not inadvertently cause harm.

已翻译

赞
Suman Baral

Suman 1.0, Thinker and Doer, Specialized in Evidence-based Strategy and Insights
举报内容
Given the abundance of freely accessible and paid satellite imagery, individuals can select based on their specific criteria, considering factors such as resolutions (spatial, spectral, radiometric, and temporal), price, and intended purpose. In the era of digital advancements, these images are now accessible in the cloud as datasets, and platforms like Google Earth Engine offer vast amounts of imagery for computational analysis.

已翻译

赞

2 Unmanned aerial vehicles

Unmanned aerial vehicles (UAVs), also known as drones, are another emerging remote sensing tool for GIS professionals. UAVs can capture high-quality images and videos of specific areas of interest, with greater flexibility and lower cost than satellites or airplanes. UAVs can also be equipped with sensors to measure various parameters, such as temperature, humidity, elevation, and vegetation. UAVs can be used for GIS applications that require fine-scale and timely data, such as precision agriculture, wildlife conservation, infrastructure inspection, and cultural heritage preservation. Some of the challenges of using UAVs for GIS include data processing, storage, and privacy issues.

添加您的观点

Oluwatosin Orenaike

DTM | Spatial Data Science | Web Dev
举报内容
GIS professionals should also consider the environmental impact of their work. Sustainable practices in data collection, like minimizing the carbon footprint of UAVs or using solar-powered sensors, can make a significant difference.

已翻译

赞

3 Hyperspectral imaging

Hyperspectral imaging is a remote sensing tool that captures images in hundreds of narrow spectral bands, rather than the typical three or four bands of visible light. Hyperspectral imaging can reveal subtle differences in the chemical and physical properties of the objects on the ground, such as minerals, soils, plants, and water. Hyperspectral imaging can be used for GIS applications that require detailed identification and classification of the surface features, such as mineral exploration, soil mapping, crop health assessment, and water quality monitoring. Hyperspectral imaging can be performed by satellites, airplanes, or UAVs, but it requires advanced data analysis and processing techniques.

添加您的观点

4 Artificial intelligence

Artificial intelligence (AI) is not a remote sensing tool per se, but rather a technology that can enhance the use and value of remote sensing data for GIS professionals. AI can help automate and optimize the tasks of remote sensing data acquisition, processing, analysis, and visualization. AI can also help extract meaningful insights and patterns from large and complex remote sensing data sets, such as detecting changes, anomalies, or trends. AI can be used for GIS applications that require fast and accurate decision making, such as disaster response, climate change adaptation, and resource management. Some of the examples of AI techniques applied to remote sensing data include machine learning, deep learning, computer vision, and natural language processing.

添加您的观点

5 Internet of things

Internet of things (IoT) is a remote sensing tool that consists of a network of interconnected devices that collect and transmit data over the internet. IoT devices can include sensors, cameras, smartphones, wearables, and more. IoT can provide real-time and continuous data on the conditions and activities of the Earth's surface and atmosphere, complementing the data from other remote sensing tools. IoT can be used for GIS applications that require dynamic and interactive data, such as smart cities, traffic management, public health, and citizen science. Some of the challenges of using IoT for GIS include data quality, security, and interoperability.

添加您的观点

6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

添加您的观点

Oluwatosin Orenaike

DTM | Spatial Data Science | Web Dev
举报内容
With the proliferation of remote sensing technologies, data management becomes a critical issue. GIS professionals must be adept at handling large volumes of data, ensuring its accuracy, and maintaining its security.

已翻译

赞
Juliet Ibenegbu

Co-President African Women in GIS || GIS Specialist || ESRI YPN Ambassador || Speaker || Brand Ambassador GetKidsIntoSurvey || Researcher
举报内容
Some promising remote sensing tools for GIS professionals include high-resolution satellite imagery from providers like Maxar and Planet, drone-based imagery using platforms like DJI or senseFly, and LiDAR data for detailed terrain information. Open-source tools like QGIS and Python libraries such as rasterio and geopandas are also valuable for analysis and integration with remote sensing data. Stay updated on emerging technologies for ongoing advancements in the field.

已翻译

赞

Geographic Information Systems (GIS)

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

查看全部

What are the most promising remote sensing tools for GIS professionals?

1

2

3

4

5

6

1 Satellite imagery

2 Unmanned aerial vehicles

3 Hyperspectral imaging

4 Artificial intelligence

5 Internet of things

6 Here’s what else to consider

Geographic Information Systems (GIS)

给文章评分

感谢您的反馈

更多Geographic Information Systems (GIS)相关文章

更多相关阅读内容

What are the most promising remote sensing tools for GIS professionals?

1

2

3

4

5

6

1 Satellite imagery

2 Unmanned aerial vehicles

3 Hyperspectral imaging

4 Artificial intelligence

5 Internet of things

6 Here’s what else to consider

Geographic Information Systems (GIS)

给文章评分

感谢您的反馈

查看其他技能