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.

Download: PDF

Submission history

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

Unique-IP document downloads: 171 times is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. will not be responsible for any consequences of actions that result from any form of use of any documents on this website.

Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.

comments powered by Disqus