Mapping Green Spaces in Bishkek - How Reliable can Spatial Analysis Be?
Explore this paper's citation graph
Summary
This paper presents an object based method using fuzzy class assignments to outline and classify three different classes of vegetation from GeoEye imagery using the reference-free parameters Best Classification Result and Classification Stability.
- Type
- article
- Published
- 2011-05-30
- Cited by
- 38
- References
- 30
- Access
- Open access
- OpenAlex
- https://openalex.org/W1974038973
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:11284717
Keywords
Microclimate, Reliability (semiconductor), Computer science, Fuzzy logic, Object based
References
- Monitoring the effect of urban green areas on the heat island in Athens
- Temperature decreases in an urban canyon due to green walls and green roofs in diverse climates
- Spring: integrating remote sensing and gis by object-oriented data modelling
- Modeling the influence of vegetation and water pond on urban microclimate
- Multi-resolution, object-oriented fuzzy analysis of remote sensing data to GIS ready information
- A comparison of three image-object methods for the multiscale analysis of landscape structure
- EVALUATION OF SEGMENTATION PROGRAMS FOR HIGH RESOLUTION REMOTE SENSING APPLICATIONS
- Visualizing Geospatial Information Uncertainty: What We Know and What We Need to Know
- Hierarchical object representation –Comparative multi-scale mapping of anthropogenic and natural features
- An automated object-based approach for the multiscale image segmentation of forest scenes
- Remote Sensing Digital Image Analysis
- Remote Sensing and Image Interpretation
- Photogrammetric Image Analysis
- Remote sensing of aquatic coastal ecosystem processes
- Multiresolution Segmentation : an optimization approach for high quality multi-scale image segmentation
- An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
- Image segmentation techniques
- Object based classification of SAR data for the delineation of forest cover maps and the detection of deforestation – A viable procedure and its application in GSE Forest Monitoring
- SNNS (Stuttgart Neural Network Simulator)
- Object-based image analysis for remote sensing applications: modeling reality – dealing with complexity
Cited by
- An effective Building Neighborhood Green Index model for measuring urban green space
- Mapping Rural Areas with Widespread Plastic Covered Vineyards Using True Color Aerial Data
- Mapping land cover in urban residential landscapes using very high spatial resolution aerial photographs
- Free or low-cost geoinformatics for disaster management: Uses and availability issues
- Evaluation of the contribution of LiDAR data and postclassification procedures to object-based classification accuracy
- An exploration of the associations between urban natural environments and indicators of mental and physical health.
- Development of an Index for Assessment of Urban Green Spacesat City Level
- A support vector machine object based image analysis approach on urban green space extraction using Pleiades-1A imagery
- Defuzzification Strategies for Fuzzy Classifications of Remote Sensing Data
- Performance of LAPAN-A2 satellite data to classify land cover/land use in Semarang, Central Java
- Evaluating fuzzy operators of an object-based image analysis for detecting landslides and their changes
- Assessing the impacts of grain sizes on landscape pattern of urban green space
- Optical Remote Sensing Method for Detecting Urban Green Space as Indicator Serving City Sustainable Development
- Can ISO-Defined Urban Sustainability Indicators Be Derived from Remote Sensing: An Expert Weighting Approach
- Data fusion for high accuracy classification of urban areas
- Sustainable neighbourhood masterplans : an analysis of the role of BREEAM Communities in green infrastructure evaluation
- Spatial distribution of vegetation cover in Erbil city districts using high-resolution Pléiades satellite image
- A Framework for the Long-term Monitoring of Urban Green Volume Based on Multi-temporal and Multi-sensoral Remote Sensing Data
- Exposure opportunity index: measuring people-perceiving-greenery at floor-level effectively
- LULC classification methodology based on simple Convolutional Neural Network to map complex urban forms at finer scale: Evidence from Mumbai
Related papers
- Theoretical Exploration on Field Microclimate
- The Characteristics of Temperature,Humidity and Comfort Index of Different Microclimate Zones on Typical Clear Days in Shenzhen in Summer
- Regionalisation of microclimate resources
- Vegetation and Microclimate (Case Study of Shri Mata Vaishno Devi University, Katra J&K)
- The Characteristics of the Temperature,Humidity and Discomfort Index of Different Microclimate Zones on Typical Clear Winter Days with Cold Air Influence in Shenzhen
- THE IMPACT OF MICROCLIMATE FACTORS ON SILK THICKNESS UNIFORMITY AND OPTIMAL CONTROL THROUGH A MECHATRONIC SYSTEM
- Immersed in microclimatic space: microclimate experience and perception of spatial configurations in Dutch squares.
- Historical vegetation for microclimate amelioration: a case study for The Netherlands
- Evaluation of Microclimatic Data on Localities with Different Ratio of Vegetation in Urban Environment