09/10/2024 | Press release | Archived content
Traditional methods of geospatial data collection, like field surveys and aerial imagery, are costly, labor-intensive, and often outdated. Advancements in satellite technology provide near-daily, accurate data, enabling organizations to conduct efficient geospatial analysis for better decision-making, from land management to disaster recovery.
Not long ago, government agencies and businesses relied on older, more complex methods to gather geospatial data. These traditional approaches included a range of manual and on-site collection methods-such as field surveys and direct measurements, often referred to as "boots on the ground."
Additionally, aerial views were obtained by taking pictures from planes. But these methods were not without significant challenges-they were expensive, difficult to manage, and didn't always provide accurate or up-to-date information.
Collecting data in remote areas was particularly onerous, with teams facing harsh conditions and logistical hurdles. Moreover, acquiring cloud-free imagery was often difficult, leading to incomplete or unusable data. The manual nature of these efforts also made them time-intensive and, at times, risky for those involved.
Thanks to commercial satellite imagery, organizations can access current, reliable images of the Earth's surface today. These near-daily images allow companies and agencies to simplify access to geospatial data for new and deeper insights.
This article will explain how daily satellite imagery and geospatial analytics work and how they can benefit your organization. By understanding these tools, you'll be better equipped to make informed decisions that impact business operations and policy outcomes.
Geospatial analytics involves using geographic information systems (GIS) to manage and analyze satellite images and other geographic data. This allows organizations to gain insights about specific locations and activities on Earth. By combining data from various sources within a GIS, organizations can create detailed analyses that guide decision-making and operations.
Geospatial analytics brings together different types of geographic, spatial, and location data to provide insights into environmental changes and human activity. In the past, these insights were hard to get because traditional methods were expensive and complicated.
Now, with advancements like commercial satellite imagery, geospatial analytics is much more accessible. Organizations can easily access both historical and current satellite data, request new images, and combine this information with other data sources to make informed decisions-all without the high costs and challenges of the past.
Types of Satellite Imagery: Tailoring Data to Your Needs
When performing geospatial analysis, the choice of satellite imagery or data source plays a critical role in the quality and effectiveness of the insights you generate. Here's how different types of imagery can be used:
Key Data Sources for Geospatial Analysis
Geospatial analysis uses diverse data sources to provide insights across industries like environmental monitoring and urban planning. Key sources include:
Satellite imagery and remote sensing are the most valuable sources, offering comprehensive, real-time data for disaster management and resource exploration applications. Combining them with field data and other sources ensures accurate, multi-layered analysis.
Daily satellite imagery is particularly valuable for compliance monitoring, disaster recovery, and land management.
For example, Slovenia's ARSKTRP agency used Planet satellite data to improve their agricultural assessments, reducing the number of inconclusive assessments by 73% and saving over €1 million in the process.
Similarly, the New Mexico State Land Office used satellite imagery to identify land trespassers and establish new leases, resulting in $4.3 million in additional revenue.
Discover more about how satellite imagery is used for environmental monitoring in this article about measuring global streamflow with Planet imagery.
Organizations rely on a combination of robust Geographic Information System (GIS) platforms and effective integration techniques to harness the full potential of geospatial analytics. These tools and techniques enable the seamless combination of satellite imagery with other data sources, facilitating detailed analysis and actionable insights.
GIS Software: Choosing the Right Platform
Selecting the right GIS software is critical for effective geospatial analysis. Below are two of the most popular GIS platforms, each catering to different needs:
Data Integration: Enhancing Geospatial Analysis
Integrating satellite imagery with other data sources is crucial for comprehensive geospatial analysis. Here's how organizations can do it effectively:
Best Practices for Geospatial Analysis
As more organizations adopt geospatial analytics, the potential for new applications and insights will continue to grow. With Planet's leading satellite technology, organizations can stay at the forefront of this exciting field, leveraging the most advanced tools and data available.
Contact Planet today to learn more about the new insights and analysis-backed guidance your organization can achieve with commercial satellite imagery.