Arid
DOI10.3390/rs4113364
How Normalized Difference Vegetation Index (NDVI) Trends from Advanced Very High Resolution Radiometer (AVHRR) and Systeme Probatoire d’Observation de la Terre VEGETATION (SPOT VGT) Time Series Differ in Agricultural Areas: An Inner Mongolian Case Study
Yin, He1; Udelhoven, Thomas2; Fensholt, Rasmus3; Pflugmacher, Dirk1; Hostert, Patrick1
通讯作者Yin, He
来源期刊REMOTE SENSING
ISSN2072-4292
出版年2012
卷号4期号:11页码:3364-3389
英文摘要

Detailed information from global remote sensing has greatly advanced our understanding of Earth as a system in general and of agricultural processes in particular. Vegetation monitoring with global remote sensing systems over long time periods is critical to gain a better understanding of processes related to agricultural change over long time periods. This specifically relates to sub-humid to semi-arid ecosystems, where agricultural change in grazing lands can only be detected based on long time series. By integrating data from different sensors it is theoretically possible to construct NDVI time series back to the early 1980s. However, such integration is hampered by uncertainties in the comparability between different sensor products. To be able to rely on vegetation trends derived from integrated time series it is therefore crucial to investigate whether vegetation trends derived from NDVI and phenological parameters are consistent across products. In this paper we analyzed several indicators of vegetation change for a range of agricultural systems in Inner Mongolia, China, and compared the results across different satellite archives. Specifically, we compared two of the prime NDVI archives-AVHRR Global Inventory Modeling and Mapping Studies (GIMMS) and SPOT Vegetation (VGT) NDVI. Because a true accuracy assessment of long time series is not possible, we further compared SPOT VGT NDVI with NDVI from MODIS Terra as a benchmark. We found high similarities in interannual trends, and also in trends of the seasonal amplitude and integral between SPOT VGT and MODIS Terra (r > 0.9). However, we observed considerable disagreements in NDVI-derived trends between AVHRR GIMMS and SPOT VGT. We detected similar discrepancies for trends based on phenological parameters, such as amplitude and integral of NDVI curves corresponding to seasonal vegetation cycles. Inconsistencies were partially related to land cover and vegetation density. Different pre-processing schemes and the coarser spatial resolution of AVHRR GIMMS introduced further uncertainties. Our results corroborate findings from other studies that vegetation trends derived from AVHRR GIMMS data not always reflect true vegetation changes. A more thorough understanding of the factors introducing uncertainties in AVHRR GIMMS time series is needed, and we caution against using AVHRR GIMMS data in regional studies without applying regional sensitivity analyses.


英文关键词NDVI trend analysis AVHRR GIMMS SPOT VGT MODIS Terra Inner Mongolia agriculture
类型Article
语种英语
国家Germany ; Denmark
收录类别SCI-E
WOS记录号WOS:000313914500006
WOS关键词NET PRIMARY PRODUCTION ; SATELLITE SENSOR DATA ; REMOTE-SENSING DATA ; WATER-QUALITY ; MONITORING VEGETATION ; COVER CLASSIFICATION ; ENVIRONMENTAL-CHANGE ; PHENOLOGICAL CHANGE ; SURFACE PHENOLOGY ; SPRING PHENOLOGY
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/2XILL650/174788
作者单位1.Univ Berlin, Dept Geog, D-10099 Berlin, Germany;
2.Univ Trier, Environm Remote Sensing & Geoinformat Dept, D-54286 Trier, Germany;
3.Univ Copenhagen, Dept Geog & Geol, DK-1350 Copenhagen, Denmark
推荐引用方式
GB/T 7714
Yin, He,Udelhoven, Thomas,Fensholt, Rasmus,等. How Normalized Difference Vegetation Index (NDVI) Trends from Advanced Very High Resolution Radiometer (AVHRR) and Systeme Probatoire d’Observation de la Terre VEGETATION (SPOT VGT) Time Series Differ in Agricultural Areas: An Inner Mongolian Case Study[J],2012,4(11):3364-3389.
APA Yin, He,Udelhoven, Thomas,Fensholt, Rasmus,Pflugmacher, Dirk,&Hostert, Patrick.(2012).How Normalized Difference Vegetation Index (NDVI) Trends from Advanced Very High Resolution Radiometer (AVHRR) and Systeme Probatoire d’Observation de la Terre VEGETATION (SPOT VGT) Time Series Differ in Agricultural Areas: An Inner Mongolian Case Study.REMOTE SENSING,4(11),3364-3389.
MLA Yin, He,et al."How Normalized Difference Vegetation Index (NDVI) Trends from Advanced Very High Resolution Radiometer (AVHRR) and Systeme Probatoire d’Observation de la Terre VEGETATION (SPOT VGT) Time Series Differ in Agricultural Areas: An Inner Mongolian Case Study".REMOTE SENSING 4.11(2012):3364-3389.
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