Spectral resolution requirements for mapping urban areas

@article{Herold2003SpectralRR,
  title={Spectral resolution requirements for mapping urban areas},
  author={Martin Herold and Margaret E. Gardner and Dar A. Roberts},
  journal={IEEE Trans. Geosci. Remote. Sens.},
  year={2003},
  volume={41},
  pages={1907-1919}
}
This study evaluated how spectral resolution of high-spatial resolution optical remote sensing data influences detailed mapping of urban land cover. A comprehensive regional spectral library and low altitude data from the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) were used to characterize the spectral properties of urban land cover. The Bhattacharyya distance was applied as a measure of spectral separability to determine a most suitable subset of 14 AVIRIS bands for urban mapping… 

Figures and Tables from this paper

IJG_Urban Mapping

Urban mapping limitations exist for multispectral satellites (e.g. IKONOS), where the location and broadband character of the spectral bands only marginally resolve the complex spectral

Impact of spatial and spectral resolutions on the classification of urban areas

TLDR
This work simulates from airborne data the at sensor images acquired by three space borne instruments in the Visible Near Infrared and Shortwave Infrared spectral ranges in the city of Toulouse (France) with correct values of accuracy.

Mapping Complex Urban Land Cover from Spaceborne Imagery: The Influence of Spatial Resolution, Spectral Band Set and Classification Approach

TLDR
The results demonstrate that spatial resolution is clearly the most influential factor when mapping complex urban environments, and modern “very high resolution” or VHR sensors offer great advantage here.

Nonlinear Spectral Unmixing of Landsat Imagery for Urban Surface Cover Mapping

  • Z. MitrakaF. FrateF. Carbone
  • Environmental Science, Mathematics
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • 2016
TLDR
The comparison performed between the linear and nonlinear implementation of the method proved the need for including the nonlinear term, especially for improving the built-up abundance map, which makes the proposed method ideal for the implementation of operational urban services.

Imperviousness Indexes Performance Evaluation for Mapping Urban Areas Using Remote Sensing Data

  • P. Villa
  • Environmental Science, Mathematics
    2007 Urban Remote Sensing Joint Event
  • 2007
Urban analysis based on remotely sensed data is commonly performed using high-resolution optical images, acquired with new generation high resolution satellites. This assures a good detail level for

Robust Extraction of Urban Land Cover Information From HSR Multi-Spectral and LiDAR Data

TLDR
The presented feature extraction workflow can be used as a template or starting point in the framework of future urban land cover mapping efforts and highlight the great potential of the developed approach for accurate, robust and large-area mapping of urban environments.

Detailed urban surface characterization using spectra from enhanced spatial resolution Sentinel-2 imagery and a hierarchical multiple endmember spectral mixture analysis approach

Abstract. Detailed mapping of urban surfaces is one of the most challenging tasks in remote sensing due to the three-dimensional structure of cities, spatial diversity, and material spectral

Testing the Contribution of WorldView-2 Improved Spectral Resolution for Extracting Vegetation Cover in Urban Environments

Abstract Detailed spatial data concerning land cover constitutes valuable information not only for urban design and planning but also to support informed decisions toward urban sustainable
...

References

SHOWING 1-10 OF 29 REFERENCES

Automated differentiation of urban surfaces based on airborne hyperspectral imagery

TLDR
The results and their comparison with standard spectral classification methods show that the new pixel- and contest-based approach enables reasonable material-oriented differentiation of urban surfaces.

Analysis of spectral signatures of urban surfaces for their identification using hyperspectral HyMap data

In this study a spectral library was developed, which forms the database for an area-wide identification of urban surface materials using hyperspectral HyMap data. Spectra are measured with a field

Investigation of the integration of AVIRIS and IFSAR for urban analysis

Most attempts at urban analysis using remotely sensed imagery lack the capabilities necessary to define the detailed geometry and differentiate the textures of the complex urban landscape. This paper

Spectral band selection for visible-near infrared remote sensing: spectral-spatial resolution tradeoffs

  • J. C. Price
  • Environmental Science, Mathematics
    IEEE Trans. Geosci. Remote. Sens.
  • 1997
TLDR
Band selection procedure is applied to high spectral resolution aircraft sensor imagery representing the visible and near-infrared wavelengths, suggesting that lower spectral resolution and higher spatial resolution are preferable to the reverse.

A spectral based recognition of the urban environment using the visible and near-infrared spectral region (0.4-1.1 µm). A case study over Tel-Aviv, Israel

This work examines the feasibility of using detailed spectral information in the visible (VIS) and near-infrared (NIR) spectral region (0.4-1.1 μm) for recognizing the urban environment. This was

The factor of scale in remote sensing

Investigation of imaging spectroscopy for discriminating urban land covers and surface materials.

Urban growth has been recognized by many globe change agendas as not only a regional phenomenon but also a continental, global scale phenomenon (Hepner et al., 1998). Many urban areas face

Spatial resolution requirements for urban studies

  • R. Welch
  • Environmental Science, Mathematics
  • 1982
Abstract Remote sensor data with spatial resolutions corresponding to 0-5-10m IFOV are required to define adequately the high frequency detail which characterizes the urban scene. Effective analyses

Imaging Spectroscopy and the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS)