globalchange  > 气候变化事实与影响
DOI: 10.1016/j.rse.2019.02.010
WOS记录号: WOS:000462421200023
论文题名:
Towards improved remote sensing based monitoring of dryland ecosystem functioning using sequential linear regression slopes (SeRGS)
作者: Abel, Christin1; Horion, Stephanie1; Tagesson, Torbern1,2; Brandt, Martin1; Fensholt, Rasmus1
通讯作者: Abel, Christin
刊名: REMOTE SENSING OF ENVIRONMENT
ISSN: 0034-4257
EISSN: 1879-0704
出版年: 2019
卷: 224, 页码:317-332
语种: 英语
英文关键词: Drylands ; Sahel ; Changes in ecosystem functioning ; Land degradation ; Trend analysis ; SeRGS ; RESTREND
WOS关键词: RESIDUAL TREND ANALYSIS ; TERM VEGETATION TRENDS ; NET PRIMARY PRODUCTION ; TIME-SERIES ; LAND DEGRADATION ; AFRICAN SAHEL ; PHENOLOGICAL CHANGE ; USE EFFICIENCY ; CLIMATE-CHANGE ; WEST-AFRICA
WOS学科分类: Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向: Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
英文摘要:

We present a method for remote sensing based monitoring of changes in dryland ecosystem functioning based on the assumption that an altered vegetation rainfall relationship (VRR) indicates changes in vegetation biophysical processes, potentially leading to changes in ecosystem functioning. We describe the VRR through a linear regression between integrated rainfall and vegetation productivity (using NDVI as a proxy) within a combined spatio-temporal window, sequentially moved over the study area and along the temporal axis of a time series. The trend in the slope values derived from such a sequential linear regression, termed SeRGS, thus represents a measure of change in the VRR. Scenarios of land degradation, defined here as a reduction in biological productivity, which may be caused by either climatic or anthropogenic factors are simulated for the period 1970-2016 from CRU rainfall and modelled NDVI data to test and evaluate the performance of the SeRGS method in detecting degradation, and compare it against the well-known RESTREND method. We found that SeRGS showed (1) overall more pronounced trends and higher significance levels (p <= 0.01) in detecting degradation events and (2) an improved statistical basis for the calculation of trends in the VRR (expressed by high coefficients of determination throughout the period of analysis), which was found to increase the validity of the results produced. Through the implementation of the temporal moving window the effect of inter-annual rainfall variability on vegetation productivity was effectively reduced, thereby enabling a more exact and reliable identification of the timing of degradation events (e.g. start, maximum and end of degradation) by using a time series breakpoint analysis (BFAST). Finally, the SeRGS method was applied using real data for Senegal (seasonally integrated MODIS NDVI and CHIRPS rainfall data 2000-2016) and we discuss patterns and trends. This study provides the theoretical basis for an improved assessment of changes in dryland ecosystem functioning, which is of relevance to land degradation monitoring targeting loss of vegetation productivity.


Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/133576
Appears in Collections:气候变化事实与影响

Files in This Item:

There are no files associated with this item.


作者单位: 1.Univ Copenhagen, Dept Geosci & Nat Resource Management, Oster Voldgade 10, DK-1350 Copenhagen, Denmark
2.Lund Univ, Dept Phys Geog & Ecosyst Sci, Solvegatan 12, SE-22362 Lund, Sweden

Recommended Citation:
Abel, Christin,Horion, Stephanie,Tagesson, Torbern,et al. Towards improved remote sensing based monitoring of dryland ecosystem functioning using sequential linear regression slopes (SeRGS)[J]. REMOTE SENSING OF ENVIRONMENT,2019-01-01,224:317-332
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Abel, Christin]'s Articles
[Horion, Stephanie]'s Articles
[Tagesson, Torbern]'s Articles
百度学术
Similar articles in Baidu Scholar
[Abel, Christin]'s Articles
[Horion, Stephanie]'s Articles
[Tagesson, Torbern]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Abel, Christin]‘s Articles
[Horion, Stephanie]‘s Articles
[Tagesson, Torbern]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.