The anthropogenic heat was at first calculated by multiple linear regression analysis based on the technique of Kayaba et al. 1), by using the residential population and the number of employees on 1 /

DIAS60

Intra-urban variations in land surface phenology in a semi-arid environment

城市地表物候

城市热环境

Data repository for 'Intra-urban variations in land surface phenology in a semi-arid environment', ERL Contact: Ben Crawford, University of Colorado Denver (benjamin.crawford@ucdenver.edu) Data desc

NIAID Data Ecosystem20

data of "Heat risk assessment; Urban cooling resources; Coupling coordination; Spatiotemporal evolution; Guangzhou"

城市热环境

风险评估

data of "Heat risk assessment; Urban cooling resources; Coupling coordination; Spatiotemporal evolution; Guangzhou"

DataCite Commons2025-06-30 更新60

LCZ-Generator Training Areas

局地气候区分类

城市遥感制图

This dataset contains all training areas (TA) submitted to the LCZ Generator (Demuzere et al. 2021) since 2021-04-14. The LCZ Generator follows a crowdsourcing approach, making fast and easy LCZ-mappi

Zenodo2024-10-06 更新30

LCZ Trainning Areas - São Paulo_V01

资源简介：

相关数据集