文献类型: 外文期刊
作者: Yanru Yu;Si-Bo Duan;Zhao-Liang Li;Sheng Chang;Zefeng Xing;Pei Leng;Maofang Gao
作者机构:
关键词: Land surface temperature; Moderate Resolution Imaging Spectroradiometer (MODIS); spatiotemporal variation; trend analysis
期刊名称: IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.
ISSN: 1939-1404
年卷期: 2021 年 14 卷
页码:
收录情况: JCR(2021版) ; EI(2021版)
摘要: Land surface temperature (LST) is a comprehensive embodiment of surface energy balance and land surface processes. The spatial and temporal variation of LST is of great significance for studying surface characteristics and climate change. In this study, the spatiotemporal variations of LST in China from 2003 to 2018 is examined by using the continuous and derivable annual temperature cycle model. The trends of the annual mean and annual amplitude of LST is detected using the Mann-Kendall test and Theil-Sen estimator. In addition, we have further revealed the correlation between normalized difference vegetation index (NDVI) and LST in different land cover types. The results show that the annual mean LST presents a spatial distribution pattern of high values in the southern regions and low values in the northern regions and that the factors of altitude and land cover type also affect the LST's spatial distribution. The annual amplitude of the LST presents a spatial distribution pattern of high values in the northern regions and low values in the southern regions. In the majority of instances, the phase of LST in China was positioned between the 175th and 205th day of each year. Both the annual mean and annual amplitude of the LST have a mean increasing trend in China with a rate of 0.02 K/year, and the areas with large significant changes accounted for 8.6% out of the total area, with a mean rate of approximately 0.05 K/year, in this period. Significant changes in the annual mean LST were correlated with the change in vegetation coverage and the impact of land cover types on the interannual variations of LST is also determined in this study. While the increase in vegetation coverage in barren land exhibits a clearly recognizable upward trend in the annual mean LST, the improved vegetation coverage in the grassland region presents a downward trend in annual mean LST. © 2008-2012 IEEE.
分类号:
- 相关文献
作者其他论文 更多>>
-
Observed different impacts of potential tree restoration on local surface and air temperature
作者:Yitao Li;Zhao Liang Li;Hua Wu;Xiangyang Liu;Xu Lian;Menglin Si;Jing Li;Chenghu Zhou;Ronglin Tang;Sibo Duan;Wei Zhao;Pei Leng;Xiaoning Song;Qian Shi;Enyu Zhao;Caixia Gao
关键词:无
-
Global maize yield responses to essential climate variables: Assessment using atmospheric reanalysis and future climate scenarios
作者:Zhi Wei Zhao;Pei Leng;Xiao Jing Han;Guo Fei Shang
关键词:Climate change;Essential climate variables;Generalized additive model;Maize yield
-
Spatiotemporal variability and dominant driving factors of satellite observed global soil moisture from 2001 to 2020
作者:Yu Xuan Li;Pei Leng;Abba Aliyu Kasim;Zhao Liang Li
关键词:Dominant driving factors;Satellite-based soil moisture;Spatiotemporal characteristics;Vapor pressure deficit
-
Remote sensing of root zone soil moisture: A review of methods and products
作者:Abba Aliyu Kasim;Pei Leng;Yu Xuan Li;Qian Yu Liao;Yun Jing Geng;Jianwei Ma;Yayong Sun;Xiaoning Song;Si Bo Duan;Zhao Liang Li
关键词:Estimation methods;Remote sensing;Root zone soil moisture;Satellite-based products;Surface soil moisture
-
Soil moisture estimation from satellite-derived temporal signals in the thermal domain with an improved parameterization scheme
作者:Yun Jing Geng;Pei Leng;Abba Aliyu Kasim;Xiaoning Song;Zhao Liang Li
关键词:Geostationary satellite data;Land surface temperature;Numerical simulation;Soil moisture;Temporal information
-
Large-Scale Monitoring of Potatoes Late Blight Using Multi-Source Time-Series Data and Google Earth Engine
作者:Zelong Chi;Hong Chen;Sheng Chang;Zhao Liang Li;Lingling Ma;Tongle Hu;Kaipeng Xu;Zhenjie Zhao
关键词:K-means clustering;multi-source data fusion;potato late blight;Random Forest;time series data
-
Soil Moisture Retrieval in the Northeast China Plain’s Agricultural Fields Using Single-Temporal L-Band SAR and the Coupled MWCM-Oh Model
作者:Zhe Dong;Maofang Gao;Arnon Karnieli
关键词:modified water cloud model (MWCM);Oh model;SAOCOM;single-temporal;soil moisture