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

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 boost...

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Detalles Bibliográficos
Autores principales: Colin, Brigitte, Mengersen, Kerrie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359653/
https://www.ncbi.nlm.nih.gov/pubmed/30658405
http://dx.doi.org/10.3390/s19020361
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author Colin, Brigitte
Mengersen, Kerrie
author_facet Colin, Brigitte
Mengersen, Kerrie
author_sort Colin, Brigitte
collection PubMed
description 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.
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spelling pubmed-63596532019-02-06 Estimating Spatial and Temporal Trends in Environmental Indices Based on Satellite Data: A Two-Step Approach Colin, Brigitte Mengersen, Kerrie Sensors (Basel) Article 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. MDPI 2019-01-17 /pmc/articles/PMC6359653/ /pubmed/30658405 http://dx.doi.org/10.3390/s19020361 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Colin, Brigitte
Mengersen, Kerrie
Estimating Spatial and Temporal Trends in Environmental Indices Based on Satellite Data: A Two-Step Approach
title Estimating Spatial and Temporal Trends in Environmental Indices Based on Satellite Data: A Two-Step Approach
title_full Estimating Spatial and Temporal Trends in Environmental Indices Based on Satellite Data: A Two-Step Approach
title_fullStr Estimating Spatial and Temporal Trends in Environmental Indices Based on Satellite Data: A Two-Step Approach
title_full_unstemmed Estimating Spatial and Temporal Trends in Environmental Indices Based on Satellite Data: A Two-Step Approach
title_short Estimating Spatial and Temporal Trends in Environmental Indices Based on Satellite Data: A Two-Step Approach
title_sort estimating spatial and temporal trends in environmental indices based on satellite data: a two-step approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359653/
https://www.ncbi.nlm.nih.gov/pubmed/30658405
http://dx.doi.org/10.3390/s19020361
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