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Open AccessArticle

Estimating Spatial and Temporal Trends in Environmental Indices Based on Satellite Data: A Two-Step Approach

School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD 4000, Australia
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Sensors 2019, 19(2), 361; https://doi.org/10.3390/s19020361
Received: 9 November 2018 / Revised: 8 January 2019 / Accepted: 11 January 2019 / Published: 17 January 2019
(This article belongs to the Special Issue Computational Intelligence in Remote Sensing)
This paper presents a method for employing satellite data to evaluate spatial and temporal patterns in environmental indices of interest. In the first step, linear regression coefficients are extracted for each area in the image. These coefficients are then employed as a response variable in a boosted regression tree with geographic coordinates as explanatory variables. Here, a two-step approach is described in the context of a substantive case study comprising 30 years of satellite derived fractional green vegetation cover for a large region in Queensland, Australia. In addition to analysis of the entire image and timeframe, separate analyses are undertaken over decades and over sub-regions of the study region. The results demonstrate both the utility of the approach and insights into spatio-temporal trends in green vegetation for this site. These findings support the feasibility of using the proposed two-step approach and geographic coordinates in the analysis of satellite derived indices over space and time. View Full-Text
Keywords: boosted regression tree; spatio-temporal analysis; fractional cover data; prediction of location-based vegetation trends boosted regression tree; spatio-temporal analysis; fractional cover data; prediction of location-based vegetation trends
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Colin, B.; Mengersen, K. Estimating Spatial and Temporal Trends in Environmental Indices Based on Satellite Data: A Two-Step Approach. Sensors 2019, 19, 361.

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