GLOBAL WATER VAPOR CONTENT AND VEGETATION CHANGE ANALYSIS BASED ON REMOTE SENSING DATA

文献类型: 外文期刊

第一作者: Mao, K. B.

作者: Mao, K. B.;Ma, Y.;Zuo, Z. Y.;Liu, Q.;Mao, K. B.;Mao, K. B.;Jiao, Y. Q.;Mao, K. B.;Ma, Y.;Wang, F.;Sun, Z. W.

作者机构:

关键词: Water vapor content;vegetation;climate;global

期刊名称:2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)

ISSN: 2153-6996

年卷期: 2016 年

页码:

收录情况: SCI

摘要: Water vapor in the Earth's upper atmosphere plays a crucial role in the radiative balance, hydrological process, and climate change. Based on the latest MODIS data, this study probes the spatio-temporal variations of global water vapor content in the past decade. It is found that overall the global water vapor concentrations declined over 2003-2012 (b=0.0149, R-2=0.797, p=0.0005). The decreasing trend over the ocean surface (b=-0.017, R-2=0.824, p=0.0003) is more explicit than over terrestrial surface (b=-0.010, R-2=0.612, p=0.007), more significant over the Northern Hemisphere (b=-0.0175, R-2=0.852, p=0.0001) than over the Southern Hemisphere (b=-0.0123, R-2=0.682, p=0.003). Vegetation cover change is critical for an understanding of the impacts and responses of vegetation to climate change. The global vegetation growth has been analysised from 2001to 2012. After thorough analysis based on satellite data, we find evidence that the global vegetation change little, and it is increasing slightly in Northern hemisphere while it is deceasing slightly in Southern Hemisphere. For different latitudes, the vegetation is increasing 0.17% every year from 60 degrees N to 70 degrees N (R-2=0.47, P>0.013), while the vegetation is decreasing 0.11% every year from 10 degrees N to 10 degrees S (R-2=0.54, P>0.004). For different continents, the vegetation in South America is decreasing 0.16% every year (R-2=0.78, P>0.0001) and it is increasing 0.05% every year in Asia (R-2=0.28, P>0.072) and 0.25% every year in Oceania (R-2=0.24, P>0.1).

分类号:

  • 相关文献

[1]Impact of plant roots on the resistance of soils to erosion by water: a review. Gyssels, G,Poesen, J,Bochet, E,Li, Y.

[2]Degradation of four fungicides in tropical soils from Hainan, China. Han, Bing Jun,Peng, Li Xu,Chen, Li Xia.

[3]An Advanced Radiative Transfer and Neural Network Scheme and Evaluation for Estimating Water Vapor Content from MODIS Data. Mao, Kebiao,Zuo, Zhiyuan,Ma, Ying,Tang, Huajun,Mao, Kebiao,Liu, Guang,Mao, Kebiao,Liu, Guang,Mao, Kebiao,Shen, Xinyi,Ma, Ying. 2017

[4]Global surface temperature change analysis based on MODIS data in recent twelve years. Mao, K. B.,Ma, Y.,Li, Z. L.,Mao, K. B.,Liu, G.,Mao, K. B.,Liu, G.,Tan, X. L.,Shen, X. Y.,Chen, J. M.,Xia, L.,Mao, K. B.,Ma, Y..

[5]Generating global crop distribution maps: From census to grid. You, Liangzhi,You, Liangzhi,Wood-Sichra, Ulrike,Wood, Stanley,Wu, Wenbin. 2014

[6]WHICH YEAR IS THE HOTTEST OR COLDEST FROM 2001 TO 2012 BASED ON REMOTE SENSING DATA. Mao, K. B.,Ma, Y.,Zuo, Z. Y.,Liu, Q.,Mao, K. B.,Mao, K. B.,Wang, F.,Mao, K. B.,Ma, Y.,Jiao, Y. Q.,Shen, X. Y.. 2016

[7]Dynamics of carbon fluxes with responses to vegetation, meteorological and terrain factors in the south-eastern Tibetan Plateau. Jiang, Yan,Jiang, Yan,Wang, Peng,Xu, Xiangde,Zhang, Jiahua. 2014

[8]Noise-Resistant Spectral Features for Retrieving Foliar Chemical Parameters. Zhang, Jingcheng,Liu, Peng,Huang, Yanbo,Li, Zhenhai,Yuan, Lin. 2017

[9]The distribution of and factors influencing the vegetation in a gully in the Dry-hot Valley of southwest China. Dong, Yifan,Xiong, Donghong,Su, Zheng'an,Yang, Dan,Liu, Gangcai,Li, Jiajia,Shi, Liangtao. 2014

[10]Characteristics of atmospheric PM2.5 in stands and non-forest cover sites across urban-rural areas in Beijing, China. Chen, Bo,Li, Shaoning,Lu, Shaowei,Yang, Xinbing,Wang, Bing,Niu, Xiang. 2016

[11]Quantitative estimation of land cover structure in an and region across the Israel-Egypt border using remote sensing data. Qin, Z,Li, W,Burgheimer, J,Karnieli, A. 2006

[12]Landscape analysis of wetland plant functional types: The effects of image segmentation scale, vegetation classes and classification methods. Dronova, Iryna,Gong, Peng,Gong, Peng,Wang, Lin,Fu, Wei,Gong, Peng,Wang, Lin,Fu, Wei,Gong, Peng,Clinton, Nicholas E.,Wang, Lin,Qi, Shuhua,Liu, Ying.

[13]Relationships between soil respiration and photosynthesis-related spectral vegetation indices in two cropland ecosystems. Huang, Ni,Niu, Zheng,Zhan, Yulin,Xu, Shiguang,Wu, Chaoyang,Gao, Shuai,Hou, Xuehui,Cai, Dewen,Huang, Ni,Xu, Shiguang,Hou, Xuehui,Cai, Dewen,Tappert, Michelle C.,Huang, Wenjiang.

[14]Utilizing the MODIS-derived leaf area index to investigate the impact of vegetation processes on hydrological simulation of macroscale catchment. Zhao, H. G.. 2018

[15]A study on the vegetation recovery and crop pattern adjustment on the Loess Plateau of China. Li, Q. Y.,Li, Q. Y.,Fang, H. Y.,Cai, Q. G.. 2011

[16]A Two-Year Study on Mercury Fluxes from the Soil under Different Vegetation Cover in a Subtropical Region, South China. Ma, Ming,Sun, Tao,Du, Hongxia,Wang, Dingyong,Ma, Ming,Sun, Tao,Wang, Dingyong,Du, Hongxia. 2018

[17]FRACTAL ANALYSIS APPLIED TO SPATIAL STRUCTURE OF CHINA'S VEGETATION. Yang Xiu-chun,Zuo Wei,Patel Nilanchal,Zhu Xiao-hua.

[18]Dissectingthemoleculargeneticbasisofshadeavoidanceresponseinhigherplants:frommodelspeciestocrops. YurongXie,HaiWang,YongpingZhao,王海洋. 2015

[19]Balance Model to Calculate the Ventilation Rate of a Mechanically Ventilated Finishing Pig House in East China. Zhou, Zhongkai,Qin, Zhu,Li, Hui,Sun, Qian,Xia, Liru,Yu, Gang,Zhou, Zhongkai,Qin, Zhu,Li, Hui,Sun, Qian,Xia, Liru,Yu, Gang. 2017

[20]GEOGRAPHICAL DISTRIBUTION AND ECO-ADAPTABILITY OF CALLIGONUM L. IN TARIM BASIN. Liu, Na,Guan, Kai Yun,Li, Wen Jun,Feng, Ying. 2017

作者其他论文 更多>>