Geospatial Map Interface for Agricultural Feature Engineering
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Solution Overview
Problem
Analyzing geospatial data from remote sensing technologies, such as satellite images, for agricultural applications is challenging due to the complexity of custom data analysis and the need for user-defined operations.
Innovation Solution
An interactive graphical user interface (GUI) is provided that allows users to select geospatial data sources, define operations, and draw geometries on a map, generating an analysis request that is decoded into an operation tree for processing, optimizing the tree before execution, and displaying the results visually.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually process and analyze geospatial data using traditional methods, then analysis accuracy can be maintained, but the time required and operational complexity increase significantly
Solution Approach 1:
The system segments the complex geospatial data analysis process into distinct operational modules including data source selection, geometry definition, operation specification, and result visualization. Each module is independently configurable and can be executed in a structured sequence, reducing the cognitive load on users while maintaining analytical rigor.
Solution Approach 2:
The graphical user interface acts as an intermediary layer between the user and the complex geospatial data processing system. It provides visual tools for selecting data sources, defining geometries on maps, and specifying operations without requiring users to directly manipulate complex code or data structures, thereby simplifying the interaction while preserving analysis capabilities.
2Adaptability or versatility
If the system provides extensive customization options for data processing operations, then user-defined analysis capabilities improve, but the ease of operation decreases
Solution Approach 1:
The system dynamically adapts the available operations and parameters based on the selected data sources and geometry types. The interface adjusts itself to present only relevant configuration options at each step, allowing extensive customization when needed while maintaining simplicity for standard operations. This dynamic behavior enables the system to be both versatile and easy to use without requiring users to navigate through all possible options.
Data Source
AI summary
Techniques are described herein for an interactive user interface for feature engineering and data processing on geospatial maps. A method includes: receiving user input indicating a selection of a first agricultural data source; receiving user input indicating a geometry on a map, the geometry defining a geographic region on which to perform at least one operation; receiving user input defining the at least one operation to be performed on the geographic region; generating an agricultural analysis request based on the first agricultural data source, the geometry, and the the at least one operation to be performed on the geographic region; decoding the agricultural analysis request to generate an operation tree including a plurality of operation nodes; executing each of the operation nodes to generate an agricultural analysis result corresponding to the geographic region; and displaying a visual representation based on the agricultural analysis result corresponding to the geographic region.