Assessing Land Degradation and Desertification Using Vegetation Index Data: Current Frameworks and Future Directions

被引:198
作者
Higginbottom, Thomas P. [1 ]
Symeonakis, Elias [1 ]
机构
[1] Manchester Metropolitan Univ, Sch Sci & Environm, Manchester M1 5GD, Lancs, England
关键词
land degradation; desertification; NDVI; NPP; multi-temporal; trend analysis; RESTREND; RUE; UNCCD; RAIN-USE-EFFICIENCY; HIGH-RESOLUTION RADIOMETER; PROXY GLOBAL ASSESSMENT; NDVI DATA SETS; TIME-SERIES; AVHRR-NDVI; AFRICAN SAHEL; NOAA AVHRR; PHENOLOGICAL CHANGE; HERBACEOUS BIOMASS;
D O I
10.3390/rs6109552
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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.
引用
收藏
页码:9552 / 9575
页数:24
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