[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Weeks, 2017 - Google Patents

Using remote sensing and geographic information systems to identify the underlying properties of urban environments

Weeks, 2017

View PDF
Document ID
1130727682008091510
Author
Weeks J
Publication year
Publication venue
New Forms of Urbanization

External Links

Snippet

Urban places represent built environments that are physically distinguishable from the natural environment, and are thus potentially identifiable through the use of remotely-sensed sources such as satellite images. This chapter begins with a justification of the use of the …
Continue reading at geog.sdsu.edu (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B29/00—Maps; Plans; Charts; Diagrams, e.g. route diagram
    • G09B29/003—Maps
    • G09B29/006—Representation of non-cartographic information on maps, e.g. population distribution, wind direction, radiation levels, air and sea routes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05—Geographic models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30241—Information retrieval; Database structures therefor; File system structures therefor in geographical information databases
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10032—Satellite or aerial image; Remote sensing
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/20—Instruments for performing navigational calculations

Similar Documents

Publication Publication Date Title
Weeks Using remote sensing and geographic information systems to identify the underlying properties of urban environments
Myint et al. Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery
Patino et al. A review of regional science applications of satellite remote sensing in urban settings
Lillesand et al. Remote sensing and image interpretation
Voltersen et al. Object-based land cover mapping and comprehensive feature calculation for an automated derivation of urban structure types at block level
Ren et al. Developing a rapid method for 3-dimensional urban morphology extraction using open-source data
Levin et al. High spatial resolution night-time light images for demographic and socio-economic studies
Gupta et al. Spatio-temporal impact assessment of land use/land cover (LU-LC) change on land surface temperatures over Jaipur city in India
Shrestha et al. Fusion of Sentinel-1 and Sentinel-2 data in mapping the impervious surfaces at city scale
Tapiador et al. Deriving fine-scale socioeconomic information of urban areas using very high-resolution satellite imagery
Piyoosh et al. Semi-automatic mapping of anthropogenic impervious surfaces in an urban/suburban area using Landsat 8 satellite data
Cha et al. The utilization of Google Earth images as reference data for the multitemporal land cover classification with MODIS data of North Korea
Liu et al. Classification of non-vegetated areas using Formosat-2 high spatiotemporal imagery: the case of Tseng-Wen Reservoir catchment area (Taiwan)
Xu et al. National-scale imperviousness mapping and detection of urban land changes
Ndiaye et al. Detection and ranking of vulnerable areas to urban flooding using GIS and ASMC (spatial analysis multicriteria): a case study in dakar, Senegal
Deng et al. Day and night synergy to improve subpixel urban impervious surface mapping in desert environments at 30-m Landsat resolution
Teodoro et al. An integrated and open source GIS environmental management system for a protected area in the south of Portugal
Zhang et al. Target-driven extraction of built-up land changes from high-resolution imagery
Männistö Mapping and Classification of Urban Green Spaces With Object-Based Image Analysis and Lidar Data Fusion
Eniolorunda et al. Assessment ofurban growth pattern in sokoto metroplis, nigeria using multitemporal sateelite data
Raja GIS-based spatial simulation of impacts of urban development on changing both land cover area and land surface temperature in Dhaka city
Du Toit Grassland ecology along an urban-rural gradient using GIS techniques in Klerksdorp, South Africa
Kozak GEOGRAPHY: a digital approach
Kanga Geospatial techniques for Land use Land cover mapping using satellite data: A case study of Bilaspur District (Himachal Pradesh)
Ahmad et al. Transformation in Vegetation and Urban Sprawl in Gotan and Surrounding: A Sustainable Development Approach for Land Use Change and Socioeconomic Issues