Arid
DOI10.1016/j.isprsjprs.2018.12.014
Assessment of Caatinga response to drought using Meteosat-SEVIRI Normalized Difference Vegetation Index (2008-2016)
Barbosa, Humberto Alves1; Kumar, T. V. Lakshmi2; Paredes, Franklin3; Elliott, Simon4; Ayuga, J. G.5
通讯作者Barbosa, Humberto Alves
来源期刊ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
ISSN0924-2716
EISSN1872-8235
出版年2019
卷号148页码:235-252
英文摘要The Caatinga semi-arid vegetation in Northeast region of Brazil (NEB) provides a unique opportunity for studying the vegetation in response to recurring droughts, because of its negative impacts on soil erosion. Surprisingly, however, the response of Caatinga vegetation to a recent multi-year drought across the entire semi-arid NEB has not been studied in detail. This study analyses the spatiotemporal patterns of drought impact on the Caatinga vegetation between 2008 and 2016. Yet previous research has shown that a linear relationship exists between rainfall and Caatinga vegetation at interannual timescale. Because of the strong large-scale control of precipitation, year-to-year rainfall variations have a notable degree of spatiotemporal heterogeneity in semi-arid NEB. We exploit this relationship by developing the local-to regional-scale rainfall-Normalized Difference Vegetation Index (NDVI) distribution over the Caatinga vegetation, using daily rainfall time series from in situ weather stations, and daily Meteosat Second Generation (MSG) NDVI time series. Results showed that the drought impact (2012-2015) through the rainfall deficit dynamics influenced the dynamics of vegetative drought in the Caatinga vegetation where exhibit a strong decrease in vegetation activity, contrasting with irrigated croplands that exhibit little sensitivity to drought. It is the longest, continuous drought on the historical record (1901 onwards). The severe drought year of 2012 affected more than 26% of the vegetated area in the region. Over the 2012-2016 period, the positive trend observed in vegetation greenness is largely explained by a positive trend in the rainfall over 45% of the Caatinga vegetation, with the three months lagged rainfall (R-2 = 0.62 with p < 0.05). This suggests that the vegetation greenness occurs in some portions of Caatinga region is mainly due to inadequate land management practices (i.e., irrigation with poor drainage, crop planting, bush encroachment, grazing-converted, pasture, etc.) often in combination with recurring droughts.
英文关键词Rain-gauge stations Vegetation index Caatinga vegetation Operational drought Vegetative drought Environmental monitoring SEVIRI
类型Article
语种英语
国家Brazil ; India ; Venezuela ; Germany ; Spain
开放获取类型hybrid
收录类别SCI-E
WOS记录号WOS:000457820500020
WOS关键词NORTH-EASTERN ; NDVI ; PRECIPITATION ; SATELLITE ; CLIMATE ; RAINFALL ; BRAZIL ; VARIABILITY ; DYNAMICS ; AFRICA
WOS类目Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/216571
作者单位1.Univ Fed Alagoas, Lab Analyzing & Proc Satellite Images, Ave Lourival Melo Mota S-N, BR-57072900 Maceio, AL, Brazil;
2.SRM Inst Sci & Technol, Dept Phys, Atmospher Sci Res Lab, Kattankulathur 603203, India;
3.Univ Plains Ezequiel Zamora, San Carlos, Venezuela;
4.EUMETSAT, EUMETSAT Allee 1, D-64295 Darmstadt, Germany;
5.UPM, INTA, Madrid, Spain
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GB/T 7714
Barbosa, Humberto Alves,Kumar, T. V. Lakshmi,Paredes, Franklin,et al. Assessment of Caatinga response to drought using Meteosat-SEVIRI Normalized Difference Vegetation Index (2008-2016)[J],2019,148:235-252.
APA Barbosa, Humberto Alves,Kumar, T. V. Lakshmi,Paredes, Franklin,Elliott, Simon,&Ayuga, J. G..(2019).Assessment of Caatinga response to drought using Meteosat-SEVIRI Normalized Difference Vegetation Index (2008-2016).ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,148,235-252.
MLA Barbosa, Humberto Alves,et al."Assessment of Caatinga response to drought using Meteosat-SEVIRI Normalized Difference Vegetation Index (2008-2016)".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 148(2019):235-252.
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