Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/rs6109552 |
Assessing Land Degradation and Desertification Using Vegetation Index Data: Current Frameworks and Future Directions | |
Higginbottom, Thomas P.; Symeonakis, Elias | |
通讯作者 | Higginbottom, Thomas P. |
来源期刊 | REMOTE SENSING
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ISSN | 2072-4292 |
出版年 | 2014 |
卷号 | 6期号:10页码:9552-9575 |
英文摘要 | Land degradation and desertification has been ranked as a major environmental and social issue for the coming decades. Thus, the observation and early detection of degradation is a primary objective for a number of scientific and policy organisations, with remote sensing methods being a candidate choice for the development of monitoring systems. This paper reviews the statistical and ecological frameworks of assessing land degradation and desertification using vegetation index data. The development of multi-temporal analysis as a desertification assessment technique is reviewed, with a focus on how current practice has been shaped by controversy and dispute within the literature. The statistical techniques commonly employed are examined from both a statistical as well as ecological point of view, and recommendations are made for future research directions. The scientific requirements for degradation and desertification monitoring systems identified here are: (I) the validation of methodologies in a robust and comparable manner; and (II) the detection of degradation at minor intensities and magnitudes. It is also established that the multi-temporal analysis of vegetation index data can provide a sophisticated measure of ecosystem health and variation, and that, over the last 30 years, considerable progress has been made in the respective research. |
英文关键词 | land degradation desertification NDVI NPP multi-temporal trend analysis RESTREND RUE UNCCD |
类型 | Review |
语种 | 英语 |
国家 | England |
收录类别 | SCI-E |
WOS记录号 | WOS:000344458000020 |
WOS关键词 | RAIN-USE-EFFICIENCY ; IMAGE TIME-SERIES ; AVHRR-NDVI DATA ; HIGH-RESOLUTION RADIOMETER ; PROXY GLOBAL ASSESSMENT ; REMOTE-SENSING DATA ; SUB-SAHARAN AFRICA ; NOAA AVHRR ; SOUTH-AFRICA ; DATA SETS |
WOS类目 | Remote Sensing |
WOS研究方向 | Remote Sensing |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/184688 |
作者单位 | Manchester Metropolitan Univ, Sch Sci & Environm, Manchester M1 5GD, Lancs, England |
推荐引用方式 GB/T 7714 | Higginbottom, Thomas P.,Symeonakis, Elias. Assessing Land Degradation and Desertification Using Vegetation Index Data: Current Frameworks and Future Directions[J],2014,6(10):9552-9575. |
APA | Higginbottom, Thomas P.,&Symeonakis, Elias.(2014).Assessing Land Degradation and Desertification Using Vegetation Index Data: Current Frameworks and Future Directions.REMOTE SENSING,6(10),9552-9575. |
MLA | Higginbottom, Thomas P.,et al."Assessing Land Degradation and Desertification Using Vegetation Index Data: Current Frameworks and Future Directions".REMOTE SENSING 6.10(2014):9552-9575. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
Assessing Land Degra(1063KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 |
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