Article
Environmental Sciences
Lluis Perez-Planells, Frank-M. Goettsche
Summary: The thermal dynamics of land surface, controlled by solar geometry, can be modeled using relatively simple functions. This study proposes a new model that simultaneously describes the annual and diurnal variation of surface temperature. The model was validated using LST observations and showed potential in describing surface and climate properties in different regions.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Engineering, Electrical & Electronic
Penghua Hu, Aihui Wang, Yingbao Yang, Xin Pan, Xiejunde Hu, Yuncheng Chen, Xuechun Kong, Yao Bao, Xiangjin Meng, Yang Dai
Summary: This study proposes a novel spatiotemporal fusion model of land surface temperature (LST) based on diurnal variation information (BDSTFM) to predict LST data with high temporal resolution and spatiotemporal continuity. The BDSTFM model achieves a high level of accuracy in downscaling and can obtain realistic and reliable 1-km seamless LST datasets.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Engineering, Electrical & Electronic
Francesco Stante, Sofia L. Ermida, Carlos C. DaCamara, Frank-Michael Gottsche, Isabel F. Trigo
Summary: This study analyzes three operational satellite-based thermal-infrared land surface temperature (LST) products under conditions of heavy dust aerosol loading. The results show large differences between satellite LST and ERA5's skin temperature (SKT) during periods of high dust activity, indicating an underestimation of LST in heavy dust aerosol conditions. In situ measurements and analysis of aerosol-induced biases provide additional evidence for this underestimation. The impact of atmospheric water vapor content on LST and SKT is also examined, but dust aerosols are shown to be the primary driver of the inaccurate LSTs observed. This study highlights a shortcoming of current operational LST retrieval algorithms that must be addressed.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Environmental Sciences
Yuhei Yamamoto, Kazuhito Ichii, Youngryel Ryu, Minseok Kang, Shohei Murayama, Su-Jin Kim, Jamie R. Cleverly
Summary: This study proposes a new methodology for vegetation monitoring using diurnal changes in land surface temperatures (LSTs) observed by Japan's geostationary satellite, Himawari-8/Advanced Himawari Imager (AHI). The study reveals that T-max and DTR are correlated with latent heat fluxes (LE), surface soil moisture (SM), and spectral vegetation indices (VIs), and combined T-max and DTR can detect vegetation drying earlier and in more detail in both humid and semi-arid climates.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Meteorology & Atmospheric Sciences
L. Lu, X. M. Zhou
Summary: A four-parameter diurnal temperature cycle model was developed by fitting the time of maximum temperature as a function of NDVI, elevation, and latitude. The model accurately predicted temperature variations and showed potential for application to MODIS data.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2021)
Article
Geochemistry & Geophysics
Guangxing Zhang, Guixin Zhang, Shanyou Zhu, Nan Zhang, Yongming Xu
Summary: This study successfully modeled spatiotemporal continuous near-surface temperature lapse rate (TLR) in a mountain area using observed air temperature, MODIS land surface temperature (LST) products, land cover maps, and the ASTER digital elevation model (DEM). The sliding window method and diurnal temperature cycle (DTC) model were employed to achieve this. The results showed that MODIS LST can be used to calculate near-surface TLR, and the sliding window method effectively calculated spatially continuous TLR with a suitable window size of 15 x 15.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Geochemistry & Geophysics
Kukku Sara, R. Eswar, B. K. Bhattacharya
Summary: This study tested the application of simplified spatial disaggregation models across the temporal domain to obtain higher spatial resolution land surface temperature observations and capture diurnal temperature changes. The results indicated that the DisTrad model performed well in capturing spatiotemporal patterns, while the NL-DisTrad model showed inconsistency.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Environmental Sciences
Jiaming Wen, Joshua B. Fisher, Nicholas C. Parazoo, Leiqiu Hu, Marcy E. Litvak, Ying Sun
Summary: This study developed a framework for resolving the full diurnal cycle of evapotranspiration (ET) and land surface temperature (LST) using sporadic ECOSTRESS measurements. The framework was tested in two regions and successfully reproduced the spatial patterns of the native ECOSTRESS measurements. The study sets the stage for applying this framework to a broader range of climates, biomes, and landscapes.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Yunfei Zhang, Xiaojuan Li, Ke Zhang, Lan Wang, Siyuan Cheng, Panjie Song
Summary: This study proposes a simple and effective method for reconstructing real land surface temperature (LST) by combining thermal infrared and microwave remote sensing based on temperature conservation (TMTC). The method fills in the missing microwave data and downscales it using MODIS LST and auxiliary data. The TMTC method maintains temperature consistency between LST and microwave LST and shows relatively accurate results. This research is of great importance for future investigations in various disciplines that require real LSTs.
Article
Astronomy & Astrophysics
Yongjie Pan, Yanhong Gao, Suosuo Li
Summary: This study investigated the impact of uncertainty in LULC maps on LST simulation using the CLM4.5 model, revealing that the model can accurately simulate ground temperature but shows large differences compared to MODIS_LST, especially over crop areas. Different LULC products also led to significant dissimilarity in simulated results over forest areas, primarily due to the different identification methods for forest types. Replacing the LAI in the model default data with the MODIS_LAI product greatly reduced the LST simulation biases.
EARTH AND SPACE SCIENCE
(2021)
Article
Environmental Sciences
Linglin Zeng, Yuchao Hu, Rui Wang, Xiang Zhang, Guozhang Peng, Zhenyu Huang, Guoqing Zhou, Daxiang Xiang, Ran Meng, Weixiong Wu, Shun Hu
Summary: This study successfully estimated Ta at different spatial scales using the Random Forest method combined with MODIS LST products and other auxiliary data, and identified data size and station distribution as main factors influencing model performance.
Article
Environmental Sciences
Jianyong Cui, Manyu Zhang, Dongmei Song, Xinjian Shan, Bin Wang
Summary: The study proposes an LST reconstruction method by combining data decomposition with data prediction. The accuracy of the method is verified through comparison with remote sensing data and measured data. The results show that the proposed method is more accurate and stable compared to other existing methods, and the reconstructed LST data are highly consistent with the measured data.
Article
Chemistry, Multidisciplinary
Dong Chen, Qifeng Zhuang, Liang Zhu, Wenjie Zhang
Summary: Land surface temperature (LST) is an important parameter associated with the land-atmosphere interface. The quality of the Moderate Resolution Imaging Spectroradiometer (MODIS) LST product is limited due to its inability to penetrate the cloud and fog. This paper proposes a method to reconstruct missing MODIS LST values and validates the results in the Heihe river basin of China. The interpolation method using Aqua data performs the best, with accurate reconstructed values and improved accuracy.
APPLIED SCIENCES-BASEL
(2022)
Article
Geochemistry & Geophysics
Yun-Jing Geng, Pei Leng, Xiaoning Song, Zhao-Liang Li
Summary: This study proposes a novel method for estimating daytime average evapotranspiration (ET) using temporal measurements of land surface temperature (LST) and net surface shortwave radiation (NSSR). The method is developed based on a simulated data of a physics-based Atmosphere-Land Exchange (ALEX) model and shows considerable accuracy with a coefficient of determination (R-2) of 0.958 and a root mean square error (RMSE) of 25.3 Wm(-2). Ground ET measurements at four Ameriflux sites were collected to assess the estimated ET and the results indicate the potential for generating daytime ET with geostationary satellite observations at regional scales.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Haiping Xia, Yunhao Chen, Adu Gong, Kangning Li, Long Liang, Zhen Guo
Summary: High spatiotemporal resolution land surface temperature (LST) is crucial for various environmental applications, but obtaining continuous daily thermal observations can be challenging due to the limitations of thermal infrared sensors. This study proposes a phenology-based ATC model (PATC) that takes into account phenology change and local weather change in order to reconstruct daily unscanned LSTs at an annual scale. Results show that PATC outperforms traditional ATC models, improving accuracy by 1.6 and 0.5 K in daytime and nighttime, respectively, and showing better performance compared to enhanced ATC models.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Oncology
Yi-Kun Kang, Yi-Ran Si, Jie Ju, Zhu-Qing Jia, Nan-Lin Hu, Hao Dong, Xue Wang, Jian Yue, Pei-Di Jiang, Zhao-Liang Li, Yun-Yun Zhang, Yan Wang, Bing-He Xu, Peng Yuan
Summary: This study aimed to investigate the predictive role of early changes in plasma HER2 levels using digital PCR in advanced breast cancer patients. The results showed that changes in the plasma HER2 ratio at 3 weeks after treatment initiation were associated with treatment response prediction and had high diagnostic accuracy for HER2 amplification. Monitoring the changes in the HER2 ratio could aid in optimal treatment selection.
Review
Geochemistry & Geophysics
Zhao-Liang Li, Hua Wu, Si-Bo Duan, Wei Zhao, Huazhong Ren, Xiangyang Liu, Pei Leng, Ronglin Tang, Xin Ye, Jinshun Zhu, Yingwei Sun, Menglin Si, Meng Liu, Jiahao Li, Xia Zhang, Guofei Shang, Bo-Hui Tang, Guangjian Yan, Chenghu Zhou
Summary: Land surface temperature (LST) is a crucial parameter that reflects land-atmosphere interaction. This review summarizes the progress in LST estimation algorithms and provides an comprehensive collection of widely used LST products. It also addresses the problems related to current LST products and introduces effective methods to overcome these challenges. The development of spatiotemporal seamless LST data significantly promotes the application of LST products in various fields.
REVIEWS OF GEOPHYSICS
(2023)
Article
Multidisciplinary Sciences
Yitao Li, Zhao-Liang Li, Hua Wu, Chenghu Zhou, Xiangyang Liu, Pei Leng, Peng Yang, Wenbin Wu, Ronglin Tang, Guo-Fei Shang, Lingling Ma
Summary: Vegetation greening has a unidirectional negative impact on radiometric surface temperature, with significant spatial and seasonal variability. Snow cover, vegetation greenness, and shortwave radiation are the main driving factors of this temperature response. Globally, the observed greening trend leads to a cooling effect that slows down a percentage of global warming, while regionally, it can offset a considerable portion of warming in India and China. These findings emphasize the importance of considering vegetation-related biophysical climate effects in local climate adaptation strategies.
NATURE COMMUNICATIONS
(2023)
Article
Environmental Sciences
Feng Wang, Guoqing Zhou, Han Hu, Yuefeng Wang, Bolin Fu, Shiming Li, Jiali Xie
Summary: This paper proposes a novel method for efficient reconstruction of LoD-2 building models guided by facade structures from an oblique photogrammetric point cloud. The method includes constructing a building planar layout based on footprint data and vertical planes, extracting facade profiles using regularity constraints and a binary integer programming model, and generating a 2D building topology combined with the planar layout and profiles.
Article
Materials Science, Multidisciplinary
Zhaoliang Li, Jialiang Song, Junhang Chen, Qiang Yu, Kui Xiao
Summary: This paper studied the corrosion behavior of E690 steel with different chloride concentrations. The results showed that the corrosion rate of E690 steel increased with the increase of Cl- concentration, reaching the highest point at 3.5% Cl- concentration, and then decreased. The influence of Cl- concentration on the corrosion characteristics of E690 steel was attributed to its effect on the reaction process, oxygen diffusion, and transformation of corrosion products.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Construction & Building Technology
Xiao Zhou, Quanhua Dong, Zhou Huang, Ganmin Yin, Guoqing Zhou, Yu Liu
Summary: Using multi-source big data, this study analyzed the effects of built environment characteristics on the integrated usage of dockless bike-sharing (DBS) and public transport. The results showed that factors such as points of interest around public transport stations, length of main road, and length of cycle path significantly influenced the integrated usage. However, the impact of these factors varied in different areas. These findings can be used to create a bike-friendly environment and encourage the connection between DBS and public transport.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Agriculture, Multidisciplinary
Pei Leng, Zhe Yang, Qiu-Yu Yan, Guo-Fei Shang, Xia Zhang, Xiao-Jing Han, Zhao-Liang Li
Summary: Due to radio frequency interference and limitations of algorithms, current microwave-based soil moisture products have discontinuities and coarse resolution, while optical observations also have data gaps due to cloud contamination. In this study, two methods, disaggregation-first and prediction-first, were investigated using the ESA-CCI SM product and MODIS images over the Tibetan Plateau. Disaggregation based on DisPATCh algorithm and prediction using generalized regression neural network were implemented. The results show the potential to obtain operational daily/1-km spatially continuous SM products with acceptable accuracy.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Remote Sensing
Menglin Si, Zhao-Liang Li, Bo-Hui Tang, Xiangyang Liu, Francoise Nerry
Summary: A series of empirical analytical tools were used to investigate the driving mechanisms of surface urban heat islands (SUHI) on a global scale, and it was found that spatial heterogeneity is yet to be fully understood. Different methods including global ordinary least squares regression, geographically weighted regression (GWR), and multi-scale GWR (MGWR) were used to explore the potential impact of driving factors on SUHI. The results showed that MGWR had the highest goodness of fit and was better at capturing spatial non-stationarity.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2023)
Article
Environmental Sciences
Xiaohu Wang, Shifeng Fang, Yichen Yang, Jiaqiang Du, Hua Wu
Summary: Crop type mapping at high resolution using Sentinel imagery on the GEE platform was achieved through a method combining multiple single-temporal and time-series feature images. The proposed method involved crop type classification and a pixel-scale accuracy evaluation metric called CA-score. The method demonstrated excellent performance in accurately mapping multiple crop types on large spatial scales, with an overall accuracy of 84.15% and a kappa coefficient of 0.80.
Article
Materials Science, Multidisciplinary
Zhaoliang Li, Junhang Chen, Wei Xue, Chenghui Yin, Jialiang Song, Kui Xiao
Summary: This article studied the segregation behavior of elements at grain boundaries and pearlite defects, as well as the precipitation behavior of Cu in inclusions in low-alloy steel Q500. It was found that Cu, Ni, and Sb exhibited segregation behavior at the boundary of the inclusions, which reduced grain boundary segregation. Cu had the ability to capture Sb and Ni. The involvement of Cu and Sb in the local corrosion process of inclusions was observed through a multi-cycle 3.5% NaCl immersion test, during which Cu and Sb were oxidized to Cu2O and Sb2O3. Under the influence of the segregation of elements at the grain boundaries, the internal part of the crystal was preferentially corroded. Cr was enriched in the pearlite cementite, forming (Cr,Fe)(7)C-3, and contributed to the corrosion process by forming Cr2O3 and CrO3.
NPJ MATERIALS DEGRADATION
(2023)
Article
Psychology, Multidisciplinary
Lulu Cui, Zhaoliang Li
Summary: The frequency of cyberbullying incidents is increasing, and the seriousness of the consequences is becoming more prominent. This study explores the impact of family function, empathy, and social support levels on high school students' implementation of online prosocial behaviors as cyberbullying bystanders. Results suggest that family function promotes online prosocial behaviors through empathy, social support, and a chain mediating path of empathy and social support. Gender and family function, as well as social support, have moderating roles in the paths of family function and online prosocial behaviors and social support and online prosocial behaviors, respectively. The study investigates the mechanisms behind high school students' online prosocial behaviors in relation to family function, empathy, and social support.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Remote Sensing
Jia-Hao Li, Zhao-Liang Li, Xiangyang Liu, Si-Bo Duan, Menglin Si, Guofei Shang, Xia Zhang
Summary: Daily mean land surface temperature (DMLST) is crucial for studying global climate change. A generalized method is proposed to estimate global DMLST using daytime and nighttime observations from any POTIRS since 1981. The method employs a simple linear regression based on in situ LST measurements and provides highly accurate estimates under all-weather conditions.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2023)
Article
Remote Sensing
Hongyuan Huo, Jing Tao, Wenzhi Zhang, Li Guo, Pei Leng, Zhao-Liang Li
Summary: This study analyzed the impact of classical gardens and modern gardens on the urban wind-heat environment, using high-resolution remote sensing and computational fluid dynamics (CFD) for 3D spatial wind and thermal environment simulation. The results showed that water area and green planting area are the main factors affecting the wind and heat environment. The Summer Palace had a higher cooling value and longer cooling distance compared to Taoranting Park, while Jingsi Garden had the lowest cooling effect.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2023)
Article
Environmental Sciences
Bin Hu, Yiqiang Zhao, Guoqing Zhou, Jiaji He, Changlong Liu, Qiang Liu, Mao Ye, Yao Li
Summary: This paper proposes a nonlocal encoder block (NLEB) based on spatial dilated convolution to optimize the feature extraction of adjacent frames. Then, a coupled denoising encoder-decoder network is proposed that takes advantage of the echo correlation in deep-water and shallow-water channels. By stacking full waveforms from different channels, local and nonlocal features are extracted from a 2D tensor. The reconstructed denoised data is obtained by fusing the features of the two channels using a fully connected layer and deconvolution layer.
Article
Environmental Sciences
Guangrui Zhong, Jianjun Chen, Renjie Huang, Shuhua Yi, Yu Qin, Haotian You, Xiaowen Han, Guoqing Zhou
Summary: Fractional vegetation coverage (FVC) is an important indicator of ecosystem change. Currently, FVC products lack high temporal and spatial resolution. This study evaluated four remote sensing inversion models for FVC using high-spatial-resolution imagery and field-measured FVC data. The best inversion model was used to create a FVC product for the Source Region of the Yellow River (SRYR), and spatial-temporal variation characteristics of FVC were analyzed. The study found that the Gradient Boosting Decision Tree (GBDT) model had the highest accuracy and NDVI and elevation were important factors affecting the model's accuracy.