Remote Sensing Collaborative Articles

What are the advantages and disadvantages of using Landsat and Sentinel data together?

Learn how to use Landsat and Sentinel data together for remote sensing analysis. Discover the advantages and disadvantages of combining these satellite data sources.

Remote Sensing

How do you deal with the trade-off between microwave and radar data quality and cost?

6 contributions 3 weeks ago

Learn how to deal with the trade-off between microwave and radar data quality and cost for land cover mapping. Discover the basics, applications, and challenges of…

Remote Sensing

How do you combine radiometric correction with geometric correction and image enhancement?

2 contributions 3 months ago

Learn what radiometric correction is, how to apply it, and how to combine it with geometric correction and image enhancement for better remote sensing images.

Remote Sensing

What are some of the latest developments and trends in clustering algorithms for geospatial data?

5 contributions 4 months ago

Explore how spectral-spatial, temporal, and scalable clustering algorithms can help you group and understand geospatial data.

Remote Sensing

What are the advantages and disadvantages of using relative vs. absolute radiometric correction?

6 contributions 3 months ago

Learn what relative and absolute radiometric correction are, how they differ, and what are their pros and cons for remote sensing images.

Remote Sensing

What are the most common and effective methods for hyperspectral data fusion and integration?

11 contributions 4 months ago

Learn how to fuse and integrate hyperspectral data from different sources and sensors to enhance your remote sensing analysis and processing.

Remote Sensing

How do you communicate and visualize the radiometric correction process and outcomes?

9 contributions 4 months ago

Learn how to convey the rationale, methods, and results of radiometric correction in remote sensing with different methods and tools.

Remote Sensing

How do you compare the spatial and spectral resolution of Landsat, Sentinel, and MODIS sensors?

16 contributions 3 months ago

Learn how to compare the spatial and spectral resolution of Landsat, Sentinel, and MODIS sensors for remote sensing applications. Find examples and resources to…

Remote Sensing

What are the best practices for using remote sensing data in precision agriculture?

20 contributions 1 month ago

Learn six best practices for using remote sensing data in precision agriculture to optimize crop production and resource efficiency.

Remote Sensing

How can remote sensing image fusion benefit from multisource and multitemporal data integration?

21 contributions 4 weeks ago

Learn how to fuse multisource and multitemporal data to improve remote sensing image quality and information content.

Remote Sensing

How do you choose between supervised and unsupervised learning for remote sensing?

15 contributions 4 weeks ago

Learn how to choose between supervised and unsupervised learning for remote sensing projects. Find out the advantages and disadvantages of each technique.

Remote Sensing

What are the main challenges and opportunities of hyperspectral imaging for mineral exploration?

12 contributions 4 months ago

Learn how hyperspectral imaging (HSI) can provide detailed information about mineral resources, and how to overcome the challenges and create opportunities with HSI.

Remote Sensing

What are the advantages and challenges of using radar for forest biomass estimation?

11 contributions 1 month ago

Learn about the advantages and challenges of using radar for forest biomass estimation, and some of the methods, applications, and outlooks of this technique.

Remote Sensing

What are the best practices and tools for remote sensing education and training?

7 contributions 4 months ago

Learn about the trends and challenges in remote sensing and how to improve your education and training with best practices and tools.

Remote Sensing

What are the advantages and disadvantages of using Sentinel-2 data for cloud and atmospheric correction?

24 contributions 1 month ago

Learn about the advantages and disadvantages of using Sentinel-2 data for cloud and atmospheric correction, and some of the methods and tools available.

Remote Sensing

What are the current and future applications of microwave remote sensing for vegetation management?

7 contributions 1 month ago

Learn about the current and future applications of microwave remote sensing for vegetation management, and how it can help you monitor vegetation dynamics and…

Remote Sensing

What are some of the applications and limitations of thermal infrared remote sensing?

6 contributions 1 month ago

Learn how thermal infrared remote sensing can estimate temperature, energy, and composition of different materials and phenomena, and what are its main challenges…

Remote Sensing

How can remote sensing support humanitarian and security operations?

18 contributions 1 month ago

Learn how remote sensing can provide information for disaster relief, conflict prevention, human rights monitoring, and environmental protection.

Remote Sensing

How do you keep your remote sensing skills updated and relevant in a fast-changing field?

25 contributions 1 month ago

Learn how to keep your remote sensing skills updated and relevant in a fast-changing field with these tips and resources on trends, data, tools, collaboration…

Remote Sensing

How can remote sensing help detect and prevent wildfires?

29 contributions 4 weeks ago

Learn how remote sensing data from satellites, aircraft, drones, or ground instruments can help detect, monitor, map, predict, and prevent wildfires.

Remote Sensing

How do you evaluate the accuracy and reliability of land cover maps produced by machine learning algorithms?

13 contributions 1 month ago

Learn how to prepare your data, select your algorithm, assess your accuracy, analyze your errors, and validate and verify your land cover maps with machine learning.

Remote Sensing