GIS Plant Resource Quantification via Environmental Mapping
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Solution Overview
Problem
Current GIS systems lack an efficient method for quantifying and managing plant resources beyond wood resources, requiring extensive manpower, time, and cost for data construction and management, and are unable to accurately survey and analyze wider ranges of plant resources in real-time.
Innovation Solution
A method using GIS that involves extracting a sample group from mother groups with multiple environment factors, forming relative tables through real measurement values and statistic analysis, and generating plant resource estimation distribution maps to efficiently quantify and manage plant resources, incorporating factors like altitude, soil texture, and integrated moisture index.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional survey methods are used to construct plant resource data, then data accuracy can be maintained, but extensive manpower, time, and cost are required
Solution Approach 1:
The patent uses GIS spatial data and environment factor data as copies/representatives of actual plant resource distributions. Instead of physically surveying each plant resource, the system creates digital models that replicate real-world patterns through statistical relationships between environment factors and plant resources, enabling efficient data construction without extensive field surveys
Solution Approach 2:
The patent pre-processes and stores environment factor data (altitude, temperature, precipitation, soil properties) in GIS databases before they are needed for plant resource estimation. This preliminary preparation of spatial and environmental data allows rapid query and analysis when plant resource data construction is needed, significantly reducing the time required for data construction
2Productivity
If traditional survey methods are used to manage plant resources, then comprehensive data can be collected, but extensive manpower and cost are required
Solution Approach 1:
The system enables self-service plant resource management by allowing users to automatically query and analyze plant resource data through the GIS interface without requiring manual field surveys. The pre-built statistical models and spatial databases automatically provide comprehensive plant resource information when environment factor data is input, eliminating the need for extensive human labor in data collection
Solution Approach 2:
The GIS-based system serves multiple functions: it stores spatial data, manages environment factor data, performs statistical analysis, generates plant resource estimation maps, and provides query capabilities all in one integrated platform. This multi-functionality consolidates what would traditionally require multiple separate systems and teams into a single automated system
3Area of stationary object
If traditional methods are used to survey plant resources, then detailed local data can be obtained, but real-time analysis of wider regions is not feasible
Solution Approach 1:
The patent transitions from two-dimensional map-based surveying to three-dimensional spatial analysis by incorporating altitude, temperature, precipitation, and soil properties as vertical and environmental dimensions. This multi-dimensional approach allows the system to accurately estimate plant resources across wide geographic areas by analyzing environmental gradients and patterns, maintaining data accuracy while expanding survey coverage to regional and national scales
4Loss of information
If comprehensive plant resource data is constructed through traditional surveys, then complete information can be obtained, but high cost and time consumption occur
Solution Approach 1:
The system creates comprehensive plant resource information by copying and integrating data from multiple environmental sources (spatial data, meteorological data, soil data) and using statistical models to generate complete plant resource datasets. This approach obtains comprehensive information without the time-consuming process of field surveying every plant resource location
Data Source
AI summary
A method for quantifying plant resource using a GIS is disclosed, in which it is possible to more efficiently quantify plant resources with less manpower, time and cost using a GIS when quantifying plant resources in a certain region. In the method, a sample group is extracted from mother groups having a plurality of distribution maps having a plurality of environment factors including IMI as attribute data, the IMI being obtained through a GIS preprocess. A relative model formula is obtained between a plant resource real measurement value of the sample group and an environment factor real measurement value and is related with the distribution map of the mother group, and the distribution maps are overlapped for thereby forming a plant resource estimation distribution map of the mother group.