Predicting RF path loss in forests using satellite measurements of vegetation indices

Sujuan Jiang, Carlos Portillo-Quintero, Arturo Sanchez-Azofeifa, Mike H. MacGregor

Research output: Contribution to conferencePaper

Abstract

We report preliminary results from a novel method that predicts the value of the RF path loss exponent (PLE) from satellite remote-sensing observations. The value of the PLE is required when designing wireless sensor networks for environmental monitoring. The model was produced by correlating field measurements of path loss to Landsat 8 data for three dates in 2013. The correlations are strong (R2 > 0.87), and exhibit high statistical significance (p < 0.01). As far as we know, this is the first reported work that links remote sensing observations to field predictions of RF loss. The work reported here is preliminary because we were only able to gather field observations for three dates in 2013. Now that we know the approach holds some promise, we plan to extend the work with a much more aggressive field campaign in the spring and summer of 2014.

Original languageEnglish
Pages592-596
Number of pages5
DOIs
StatePublished - Oct 16 2014
Event39th Annual IEEE Conference on Local Computer Networks, LCN 2014 - Edmonton, Canada
Duration: Sep 8 2014Sep 11 2014

Conference

Conference39th Annual IEEE Conference on Local Computer Networks, LCN 2014
CountryCanada
CityEdmonton
Period09/8/1409/11/14

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Jiang, S., Portillo-Quintero, C., Sanchez-Azofeifa, A., & MacGregor, M. H. (2014). Predicting RF path loss in forests using satellite measurements of vegetation indices. 592-596. Paper presented at 39th Annual IEEE Conference on Local Computer Networks, LCN 2014, Edmonton, Canada. https://doi.org/10.1109/LCNW.2014.6927707