Climate Research

   

Linear Temporal Interpolation Method in Etm+ Using Modis Data.

Authors: Marcos Palomo Arroyo, Santiago Ormeño Villajos

The main objective of the present work was to obtain synthetic ETM+ images with improved temporal resolution using MODIS radiometry to expand the applicability of this method to environmental issues that require detailed monitoring over time. To do this, we needed to verify the consistency between the data provided by ETM+ and MODIS. We used images from these sensors taken on different dates and in different test areas. We designed and validated a spatial resampling method based on statistical parameters and a linear interpolation method for diachronic data. The results confirm the consistency between MODIS and ETM+ data and their dependence on the spatial variability of the information. They also show that it is possible to obtain images derived from MODIS with the spatial resolution of ETM+ using a simple and robust linear interpolation method. Both results broaden the scope of these sensors’ application to environmental issues.

Comments: 15 Pages.

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Submission history

[v1] 2016-05-18 02:05:58

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