Modeling Year-to-Year Variations of Clear-Sky Land Surface Temperature Using Aqua/MODIS Data

Autor: Zefeng Xing, Yanru Yu, Si-Bo Duan, Zhao-Liang Li, Maofang Gao, Pei Leng, Xia Zhang, Guofei Shang

Publikováno v: IEEE Access, Vol 8, Pp 114541-114553 (2020)

Land surface temperature (LST) and its annual or inter-annual variations play an important role in understanding global climate change, urban heat island, and the process of land-atmosphere energy exchange. Many annual temperature cycle (ATC) models

Externí odkaz: https://doaj.org/article/fa878a1ec66b4ac79acfb80582e38b6c

Interannual Spatiotemporal Variations of Land Surface Temperature in China From 2003 to 2018

Autor: Zhao-Liang Li, Zefeng Xing, Si-Bo Duan, Maofang Gao, Yanru Yu, Pei Leng, Sheng Chang

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 1783-1795 (2021)

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 stu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a402856a63c95c35c28b0c3610ec59db
https://doi.org/10.1109/jstars.2020.3048823

Estimation of daily mean land surface temperature at global scale using pairs of daytime and nighttime MODIS instantaneous observations

Autor: Maofang Gao, Xiangyang Liu, Si-Bo Duan, Xia Zhang, Pei Leng, Xiaopo Zheng, Zefeng Xing, Zhao-Liang Li, Guofei Shang

Publikováno v: ISPRS Journal of Photogrammetry and Remote Sensing
ISPRS Journal of Photogrammetry and Remote Sensing, 2021, 178, pp.51-67. ⟨10.1016/j.isprsjprs.2021.05.017⟩
ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, 2021, 178, pp.51-67. ⟨10.1016/j.isprsjprs.2021.05.017⟩

International audience; Accurate estimations of daily mean land surface temperature (LST) are important for investigating the urban heat island effect, land-atmosphere energy exchanges, and global climate change. Moderate Resolution Imaging Spectrora

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c27f4cf7a671e3e69bfd82f19afd205
https://hal.science/hal-03402981

Comparison of object-based and pixel-based Random Forest algorithm for wetland vegetation mapping using high spatial resolution GF-1 and SAR data

Autor: Bai Zhang, Ying Li, Anthony Campbell, Bolin Fu, Zefeng Xing, Yeqiao Wang, Xiaomin Jin, Shubai Yin

Publikováno v: Ecological Indicators. 73:105-117

Vegetation is an integral component of wetland ecosystems. Mapping distribution, quality and quantity of wetland vegetation is important for wetland protection, management and restoration. This study evaluated the performance of object-based and pixe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fef3bc9fcc2aeb9c1ac2141f5343887d
https://doi.org/10.1016/j.ecolind.2016.09.029

Evaluation of ecosystem service value of riparian zone using land use data from 1986 to 2012

Autor: Honglei Zhu, Yeqiao Wang, Bai Zhang, Bolin Fu, Shubai Yin, Ying Li, Zefeng Xing

Publikováno v: Ecological Indicators. 69:873-881

Riparian zones play a significant role in ecological and biological sciences, as well as in environmental management and engineering perspectives because of their multiple functions in coupled natural and human systems. Quantitative evaluation of eco

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3622e069b049416aed7d004f53800c63
https://doi.org/10.1016/j.ecolind.2016.05.048