The role of spatial resolution in landscape analysis

Ruggero Casacchia; Alessandra Grignetti; Stefania Mandrone; Rosamaria Salvatori

doi:10.1117/12.510695

24 February 2004 The role of spatial resolution in landscape analysis

Ruggero Casacchia, Alessandra Grignetti, Stefania Mandrone, Rosamaria Salvatori

Proceedings Volume 5232, Remote Sensing for Agriculture, Ecosystems, and Hydrology V; (2004) https://doi.org/10.1117/12.510695
Event: Remote Sensing, 2003, Barcelona, Spain

Abstract

In this paper a study carried out by airborne hyperspectral data is presented. Image data concern a forest area (60 km North of Rome -Italy), to evaluate how different spatial resolutions can affect vegetation spectral response and therefore the discrimination among the different communities. MIVIS images were acquired at different flight altitudes (2000 m and 5000 m), in the same day and on the same surface targets. A radiometric field survey was carried out in order to radiometrically calibrate the airborne images. Classification were performed on each image by two different techniques: Maximum Likelihood and Spectral Angle Mapper. The results of these classification methods were analysed to evaluate how different spatial resolution can affect vegetation spectral response. In particular the relationship between spectral and spatial resolution of hyperspectral images was investigated by resampling the 2000 m image (4m/pxl) in order to simulate the radiometric response of surface targets in the MIVIS image acquired at 5000 m of altitude (10m/pxl). The result suggest that the spatial resolution of aerial images must be decided when the overflight is planned, because the resampled data keeps the original spectral characteristics and upscaling methods do not provide meaningful data in heterogeneous area.

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Ruggero Casacchia, Alessandra Grignetti, Stefania Mandrone, and Rosamaria Salvatori "The role of spatial resolution in landscape analysis", Proc. SPIE 5232, Remote Sensing for Agriculture, Ecosystems, and Hydrology V, (24 February 2004); https://doi.org/10.1117/12.510695

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KEYWORDS

Spatial resolution

Vegetation

Image classification

Reflectivity

Hyperspectral imaging

Target acquisition

Calibration

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