官方服务：
资源简介：
Spatial delineation of thermal stress regimes
应用场景：
创建时间：
2015-09-12
相关数据集
2020年海南岛海口市、三亚市100m城市绿度空间质量数据集
在城市绿度空间提取和分类的基础上，结合LST数据，探讨城市绿度空间景观格局对城市热环境的影响规律。并以此为理论支撑，基于层次分析法构建环境效益评价指数(Green Environment Benefit Index, GEBI)，开展海口市和三亚市的城市绿度空间质量评价，得到本数据集。
地球大数据科学工程2022-05-12 更新60
A seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2016
This seamless 1 km resolution global daytime (1:30 PM) land surface temperature dataset in 2016 was generated from Moderate-resolution Imaging Spectroradiometer (MODIS) LST products (MOD11A1 and MYD11
NIAID Data Ecosystem50
Dataset for: Unraveling scale-dependent and non-linear drivers of land surface temperature in a typical arid oasis city
This dataset contains the processed geospatial data matrix used for the multi-scale XGBoost-SHAP analysis presented in the manuscript. It includes seasonal Land Surface Temperature (LST) and correspon
NIAID Data Ecosystem20
Spatial variability of enthalpy in rabbit house with and without ridge vent
ABSTRACT The profitability of a rabbit farming system must consider the rabbit’s breed, nutrition, management, sanitation and mainly the thermal environment that the animal will be exposed during the
DataCite Commons2020-08-27 更新60
Temperature-dependent parameter values for five United States cities.
Temperature-dependent parameter values for five United States cities.
NIAID Data Ecosystem40
