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Some Insights on Grassland Health Assessment Based on Remote Sensing

Grassland ecosystem is one of the largest ecosystems, which naturally occurs on all continents excluding Antarctica and provides both ecological and economic functions. The deterioration of natural grassland has been attracting many grassland researchers to monitor the grassland condition and dynami...

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Detalles Bibliográficos
Autores principales: Xu, Dandan, Guo, Xulin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367348/
https://www.ncbi.nlm.nih.gov/pubmed/25643060
http://dx.doi.org/10.3390/s150203070
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author Xu, Dandan
Guo, Xulin
author_facet Xu, Dandan
Guo, Xulin
author_sort Xu, Dandan
collection PubMed
description Grassland ecosystem is one of the largest ecosystems, which naturally occurs on all continents excluding Antarctica and provides both ecological and economic functions. The deterioration of natural grassland has been attracting many grassland researchers to monitor the grassland condition and dynamics for decades. Remote sensing techniques, which are advanced in dealing with the scale constraints of ecological research and provide temporal information, become a powerful approach of grassland ecosystem monitoring. So far, grassland health monitoring studies have mostly focused on different areas, for example, productivity evaluation, classification, vegetation dynamics, livestock carrying capacity, grazing intensity, natural disaster detecting, fire, climate change, coverage assessment and soil erosion. However, the grassland ecosystem is a complex system which is formed by soil, vegetation, wildlife and atmosphere. Thus, it is time to consider the grassland ecosystem as an entity synthetically and establish an integrated grassland health monitoring system to combine different aspects of the complex grassland ecosystem. In this review, current grassland health monitoring methods, including rangeland health assessment, ecosystem health assessment and grassland monitoring by remote sensing from different aspects, are discussed along with the future directions of grassland health assessment.
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spelling pubmed-43673482015-04-30 Some Insights on Grassland Health Assessment Based on Remote Sensing Xu, Dandan Guo, Xulin Sensors (Basel) Review Grassland ecosystem is one of the largest ecosystems, which naturally occurs on all continents excluding Antarctica and provides both ecological and economic functions. The deterioration of natural grassland has been attracting many grassland researchers to monitor the grassland condition and dynamics for decades. Remote sensing techniques, which are advanced in dealing with the scale constraints of ecological research and provide temporal information, become a powerful approach of grassland ecosystem monitoring. So far, grassland health monitoring studies have mostly focused on different areas, for example, productivity evaluation, classification, vegetation dynamics, livestock carrying capacity, grazing intensity, natural disaster detecting, fire, climate change, coverage assessment and soil erosion. However, the grassland ecosystem is a complex system which is formed by soil, vegetation, wildlife and atmosphere. Thus, it is time to consider the grassland ecosystem as an entity synthetically and establish an integrated grassland health monitoring system to combine different aspects of the complex grassland ecosystem. In this review, current grassland health monitoring methods, including rangeland health assessment, ecosystem health assessment and grassland monitoring by remote sensing from different aspects, are discussed along with the future directions of grassland health assessment. MDPI 2015-01-29 /pmc/articles/PMC4367348/ /pubmed/25643060 http://dx.doi.org/10.3390/s150203070 Text en © 2015 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 license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Xu, Dandan
Guo, Xulin
Some Insights on Grassland Health Assessment Based on Remote Sensing
title Some Insights on Grassland Health Assessment Based on Remote Sensing
title_full Some Insights on Grassland Health Assessment Based on Remote Sensing
title_fullStr Some Insights on Grassland Health Assessment Based on Remote Sensing
title_full_unstemmed Some Insights on Grassland Health Assessment Based on Remote Sensing
title_short Some Insights on Grassland Health Assessment Based on Remote Sensing
title_sort some insights on grassland health assessment based on remote sensing
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367348/
https://www.ncbi.nlm.nih.gov/pubmed/25643060
http://dx.doi.org/10.3390/s150203070
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