globalchange  > 全球变化的国际研究计划
DOI: 10.2480/agrmet.D-19-00003
WOS记录号: WOS:000474890800004
论文题名:
Determination by MODIS satellite-based methods of recent global trends in land surface aridity and degradation
作者: Kimura, Reiji1; Moriyama, Masao2
通讯作者: Kimura, Reiji
刊名: JOURNAL OF AGRICULTURAL METEOROLOGY
ISSN: 0021-8588
EISSN: 1881-0136
出版年: 2019
卷: 75, 期:3, 页码:153-159
语种: 英语
英文关键词: Aridity index ; Degradation ; Desertification ; Drylands ; Remote sensing
WOS关键词: DUST SOURCE REGIONS ; ERODIBILITY ; JAPAN
WOS学科分类: Agriculture, Multidisciplinary ; Meteorology & Atmospheric Sciences
WOS研究方向: Agriculture ; Meteorology & Atmospheric Sciences
英文摘要:

The Aridity Index (AI; the ratio of precipitation to potential evaporation), is an indirect, essentially climatic index that has been used to identify global distributions of arid regions. Since the turn of the century, the increasingly widespread availability of satellite data has led many researchers to use it to assess desertification. In this study we used a satellite-based aridity index (SbAI) to investigate global changes of land surface aridity from 2000 to 2017. Degraded land areas were identified by using SbAI and the normalized difference vegetation index (NDVI). Here, degraded land include existing desert and the land having both permanent and temporal dust erodibility. Our results showed that actual land condition by SbAI became dryness than that derived from the climatic AI indicator in arid, semi-arid, and dry sub-humid regions and that the dryness was reflected in an increase in the extent of areas classified as hyper-arid. From 2000 to 2017, however, the annual extent of the wetter areas within arid regions (semi-arid and dry sub-humid regions) increased, and that of drier areas (hyper-arid and arid regions) decreased. The global area of degraded land decreased slightly between 2000 and 2017, and the annual average area for that period was 13.5 x 10(6) km(2) (9.2% of total land area).


Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/142922
Appears in Collections:全球变化的国际研究计划

Files in This Item:

There are no files associated with this item.


作者单位: 1.Tottori Univ, Arid Land Res Ctr, Tottori 6800001, Japan
2.Nagasaki Univ, Grad Sch Engn, Nagasaki 8528521, Japan

Recommended Citation:
Kimura, Reiji,Moriyama, Masao. Determination by MODIS satellite-based methods of recent global trends in land surface aridity and degradation[J]. JOURNAL OF AGRICULTURAL METEOROLOGY,2019-01-01,75(3):153-159
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Kimura, Reiji]'s Articles
[Moriyama, Masao]'s Articles
百度学术
Similar articles in Baidu Scholar
[Kimura, Reiji]'s Articles
[Moriyama, Masao]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Kimura, Reiji]‘s Articles
[Moriyama, Masao]‘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.