Deep Learning AI Satellite Data

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Satellite Image technology is very promising for collecting large and high frequency geographic data. Number of satellites revolving around the Earth are increasing exponentially every year. These satellites collect huge image sets which require manual intervention to turn them in meaningful data.

Diverse capability of Satellite Data Extraction Engine is disrupting existing traditional data sources and collection methods. Accuracy and scale are 2 distinct features of Data Extraction Engine

Data extraction from large geographic images is human labor-intensive work which need to be performed at high frequency. Example- Identifying buildings on images every week to track progress of construction work.

Satellite Data Extraction Engine is rapidly adding new data sets ie buildings, roads, crops, water sources, forest cover, mines. Future holds great promise as satellites are exponentially evolving in resolution, ground parameters and numbers.

There are many AI data extraction interventions attempted on satellite images. Success of such interventions is limited to small images at 'proof of concept' level. Major challenge in AI usage is diversity of objects appearing on satellite images ie man-made structures, farms, forests, roads, vehicles, mountains, rivers etc. Also, we see environmental factors like cloud cover, haze etc affecting object identification and data extraction.

Our expertise lies in harnessing Deep Learning AI technology to extract satellite image data at large scale. Below are few extracted data use cases in various domains.

Urban Planning

Monitor and raise alerts for illegal activities like construction, parked vehicles, road conditions etc

Climate Betterment

This most widely discussed use case of AI with Satellite images

Agriculture

Agriculture is mostly relying on age old tools and suffers a lot due to lack of data. For example, commuters get good guidance on distance and duration to destination location. On other side farmers for example do not have any data available for crop planning, harvesting etc. Demonstration of Deep Learning AI on Satellite Images, we are taking one particular use case of 'crop identification' under Agriculture domain.

Who Can Benefit

DLAISD have gained expertise on precise agriculture data extraction using satellite imagery. We have varied customers consuming agriculture data. Here's a breakdown of target data consumers based on agriculture data types:

For Farmers and Agricultural Businesses

Individual Farmers:

They can use this data for crop health monitoring, identifying nutrient deficiencies, optimizing irrigation practices, and detecting pests or diseases early on.

Precision Agriculture Companies:

These companies provide farmers with data-driven insights to improve yields and resource management.Your crop identification data can be integrated into their platforms.

Commodity Traders and Grain Buyers:

This data helps them assess crop production volumes and predict future prices, allowing for informed buying decisions.

For Government Agencies and Research Institutions

Government Agencies:

They can utilize this data for agricultural policy planning, monitoring food security, and estimating crop yields across regions.

Agricultural Research Institutions:

Researchers can use this data to study crop growth patterns, develop disease-resistant varieties, and assess the impact of climate change on agriculture.

For Insurance and Financial Institutions

Crop Insurance Companies:

This data allows them to assess crop health and predict potential losses, enabling them to develop more accurate insurance products.

Financial Institutions:

Banks and investment firms can use this data to evaluate the creditworthiness of farmers and make informed decisions about agricultural loans and investments.

Additionally

Sustainability Organizations:

They can use this data to track deforestation and promote sustainable farming practices.

Logistics Companies:

This data helps them optimize transportation routes based on crop production locations.

Deep Learning AI applied on satellite images gives limitless data possibilities. We at ‘DLAI Satellite Data’ innovated Satellite Data Extraction Engines capable of producing data on large geographies of size more than 100 Sq Meters.