Assessing urban landscape dynamics and its relations to changing surface thermal character and prospects: a geospatial study of a tropical industrial city using machine learning algorithms [0.03%]
基于机器学习算法的热带工业城市地表热环境特征及景观格局变化研究
Sribas Patra,Kapil Kumar Gavsker,Tapas Das
Sribas Patra
The present study investigates the influences of LULC dynamics in the context of urban thermal variations based on modeling future land surface temperature (LST), particularly during summer and winter seasons, using advanced ML algorithms and earth observation satellite images (Landsat 8 and Landsat
Impact of urbanization on vegetation functional diversity across typical urban areas in China [0.03%]
城市化对中国典型城市区域植被功能多样性的影響
Xuan Cui,Tong Sun,Xuehe Lu et al.
Xuan Cui et al.
Partial correlation analysis revealed land surface temperature (LST) and urban greening (UG) as key factors influencing positive indirect impacts. LST enhanced functional diversity in low-urbanization zones, while intensive human activities accelerated its decline.
Optimizing mangrove afforestation site selection in gulf cooperation council nations using remote sensing and machine learning [0.03%]
基于遥感和机器学习优化海湾国家红树林人工造林地点选择
Abhilash Dutta Roy,Midhun Mohan,Ian Hendy et al.
Abhilash Dutta Roy et al.
We identified eight factors related to mangrove ARR outcomes through correlation analyses: elevation, soil pH, median precipitation, median and minimum land surface temperature (LST), soil salinity, soil texture and distance from urban areas.
Spatial autocorrelation of environmental factors influencing dengue outbreaks using Moran's I: A study from Nepal (2020-2023) [0.03%]
基于莫兰指数(Moran's I)的环境因素影响登革热暴发的空间自相关性研究：以尼泊尔为例（2020-2023年）
Roshan Kumar Mahato,Kyaw Min Htike,Kittipong Sornlorm et al.
Roshan Kumar Mahato et al.
Objectives: This study analyzed the spatial distribution of dengue in Nepal from 2020 to 2023, using Moran's I spatial statistics to explore the relationship between environmental factors (such as vegetation indices, land surface temperature and precipitation) and dengue incidence.
Ning Su,Xiaobing Li,Xin Lyu et al.
Ning Su et al.
Specifically, WFs influence the vapor pressure deficit (VPD) by altering both the daytime and nighttime land surface temperature (LST) and further influence the GPP and ET through the VPD. Moreover, changes in the daytime LST induced by WFs also impact soil moisture, which further influences GPP.
Contemporary income inequality outweighs historic redlining in shaping intra-urban heat disparities in Los Angeles [0.03%]
当代收入不平等而非历史上的种族限制令在塑造洛杉矶城市内热岛差异方面起更大作用
Anamika Shreevastava,Glynn Hulley,Sai Prasanth et al.
Anamika Shreevastava et al.
A key innovation of our work is the use of land surface temperature data from the ECOSTRESS instrument aboard the International Space Station, enabling us to capture diurnal trends in urban thermal disparities....Additionally, land surface temperature disparities exhibit a seasonal hysteresis effect, intensifying during extreme heat events by 5-7 °C.
Remote Sensing-Derived Environmental Variables to Estimate Transmission Risk and Predict Malaria Cases in Argentina: A Pre-Certification Study (1986-2005) [0.03%]
基于遥感的环境变量在阿根廷评估疟疾传播风险和预测病例数的预认证研究（1986-2005）
Ana C Cuéllar,Roberto D Coello-Peralta,Davis Calle-Atariguana et al.
Ana C Cuéllar et al.
The relationship between reported malaria cases and climatic/environmental variables-including the normalized difference vegetation index (NDVI), normalized difference water index (NDWI), and land surface temperature (LST)-obtained from Landsat 5 and 7 satellite images was analyzed using multilevel Poisson
Analysis of the impact mechanisms and driving factors of urban spatial morphology on urban heat islands [0.03%]
城市空间形态影响城市热岛效应的作用机制与驱动因素分析
Caiyi Huang,Ke Liu,Tianyi Ma et al.
Caiyi Huang et al.
This study investigates the effects of underlying surfaces on land surface temperature (LST) in the highly urbanized central districts and rapidly developing peri-urban areas of Tianjin, China.
Changes of remote sensing vegetation phenology in Beijing-Tianjin-Hebei region under the background of urbanization [0.03%]
城镇化背景下京津冀地区遥感植被物候变化研究
Yi-Wei Hua,Dan Meng,Fei-Fan Hu et al.
Yi-Wei Hua et al.
With increasing ISP, land surface temperature initially rose but stabilized once it exceeded 40%. As land surface temperature increased, SOS first advanced and then delayed (with an inflection point at 23 ℃), while EOS first delayed and then advanced (with an inflection point at 20 ℃).
Relationship between urban form and surface temperature based on XGBoost SHAP interpretable machine learning model [0.03%]
基于XGBoost SHAP可解释机器学习模型的城乡形态与地表温度关系研究
Jie Tan,Qian-Jun Wei,Zhao-Yang Liao et al.
Jie Tan et al.
With the increase of high-rise buildings in major cities worldwide, exploring the effects of urban two-dimensional (2D) and three-dimensional (3D) morphology on land surface temperature (LST) has become the key to mitigating the urban thermal environment and optimizing urban planning.
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