Bayesian maximum entropy approach and its applications: a review

J He, A Kolovos - Stochastic Environmental Research and Risk …, 2018 - Springer
The present paper reviews the conceptual framework and development of the Bayesian
Maximum Entropy (BME) approach. BME has been considered as a significant breakthrough …

[图书][B] Temporal GIS: advanced functions for field-based applications

G Christakos, P Bogaert, M Serre - 2002 - books.google.com
Trustonlymovement. Life happens at the level of events not of words. Trust movement. A.
Adler As its title suggests, the main goal of this book is the development of advanced fu-tions …

Blending multi-resolution satellite sea surface temperature (SST) products using Bayesian maximum entropy method

A Li, Y Bo, Y Zhu, P Guo, J Bi, Y He - Remote sensing of environment, 2013 - Elsevier
Integrating multiple satellite sea surface temperature (SST) products is one of the ways to
improve the accuracy, spatial resolution and completeness of satellite SST products. In this …

Determinants of changes in the regional urban heat island in metropolitan Phoenix (Arizona, USA) between 1990 and 2004

A Brazel, P Gober, SJ Lee, S Grossman-Clarke… - Climate …, 2007 - int-res.com
We investigated the spatial and temporal variation in June mean minimum temperatures for
weather stations in and around metropolitan Phoenix, USA, for the period 1990 to 2004 …

Assessment and management of air quality for an opencast coal mining area

SK Chaulya - Journal of environmental management, 2004 - Elsevier
A study for the assessment and management of the air quality was carried out at Lakhanpur
area of Ib Valley Coalfield in Orissa state in India. The 24-h average concentrations of total …

[HTML][HTML] 定量遥感升尺度转换方法研究进展

郝大磊, 肖青, 闻建光, 游冬琴, 吴小丹, 林兴稳… - 2018 - html.rhhz.net
摘要尺度效应是地理科学中普遍存在的现象, 制约着遥感等空间科学的发展.
发展合理的尺度转换方法以促进遥感技术的全面应用迫在眉睫. 本文分别从面—面升尺度转换 …

Estimating wildfire smoke concentrations during the October 2017 California fires through BME space/time data fusion of observed, modeled, and satellite-derived …

SE Cleland, JJ West, Y Jia, S Reid… - … science & technology, 2020 - ACS Publications
Exposure to wildfire smoke causes adverse health outcomes, suggesting the importance of
accurately estimating smoke concentrations. Geostatistical methods can combine observed …

High-resolution spatiotemporal mapping of PM2. 5 concentrations at Mainland China using a combined BME-GWR technique

L Xiao, Y Lang, G Christakos - Atmospheric Environment, 2018 - Elsevier
With rapid economic development, industrialization and urbanization, the ambient air PM 2.5
has become a major pollutant linked to respiratory, heart and lung diseases. In China, PM …

[HTML][HTML] Multi-source hierarchical data fusion for high-resolution AOD mapping in a forest fire event

X Wei, K Bai, NB Chang, W Gao - … Journal of Applied Earth Observation and …, 2021 - Elsevier
Satellite and ground‐based remote sensing images, as well as reanalysis data, are widely
used to measure and/or model aerosol properties of Earth's atmosphere. However, none of …

Estimating the spatial distribution of soil moisture based on Bayesian maximum entropy method with auxiliary data from remote sensing

S Gao, Z Zhu, S Liu, R Jin, G Yang, L Tan - International Journal of Applied …, 2014 - Elsevier
Soil moisture (SM) plays a fundamental role in the land–atmosphere exchange process.
Spatial estimation based on multi in situ (network) data is a critical way to understand the …