徐冰｜西北大学｜学者主页

2023

以气候行动助力健康老龄化

W. Cai, Chi Zhang, Shi-Hui Zhang, Yu-Qi Bai, Max W Callaghan, Nan Chang, Bin Chen, Huiqi Chen, Liangliang Cheng, Xue-Qin Cui, Hancheng Dai, Wenxuan Dong, B. Danna, Weicheng Fan, Xiaoyi Fang, Tong Gao, Yang Geng, D. Guan, Yixin Hu, Junyi Hua, Cun-Rui Huang, Hong Huang, Jian-Bin Huang, Linlang Jiang, Qiao-Lei Jiang, Xiaopeng Jiang, Hui Jin, G. Kiesewetter, Lu Liang, Borong Lin, Hualiang Lin, Huan Liu, Qiyong Liu, Tao Liu, Xiao-Bo Liu, Xin-Yuan Liu, Zhao Liu, Zhuang Liu, Shuhan Lou, Chenxi Lu, Zhen-Yu Luo, Wen-Jun Meng, Hui Miao, Chao Ren, M. Romanello, Wolfgang Schöpp, Jing Su, Xu-Sheng Tang, Can Wang, Qiong Wang, Laura Warnecke, Sanmei Wen, Wilfried Winiwarter, Yang Xie, Bing Xu, Yu Yan, Xiu Yang, Fanghong Yao, Le Yu, Jiacan Yuan, Yiping Ceng, Jing Zhang, Luo Zhang, Rui Zhang, Shangcheng Zhang, Shao-Hui Zhang, Meng-Zhen Zhao, Qi Zhao, Da-Shan Zheng, Hao Zhou, Jingbo Zhou, Feng-Hua Chen, Yongde Luo, Peng Gong

Chinese Science Bulletin

精选作品

期刊论文

以气候行动助力健康老龄化

A 30 m annual cropland dataset of China from 1986 to 2021

Seizing the window of opportunity to mitigate the impact of climate change on the health of people in China

Beyond green environments: Multi-scale difference in human exposure to greenspace in China.

Contrasting inequality in human exposure to greenspace between cities of Global North and Global South

The land-sea interface mapping: China's coastal land covers at 10 m for 2020.

The 2022 China report of the Lancet Countdown on health and climate change: leveraging climate actions for healthy ageing

Estimation of hourly full-coverage PM2.5 concentrations at 1-km resolution in China using a two-stage random forest model

Mapping essential urban land use categories with open big data: Results for five metropolitan areas in the United States of America

Mapping essential urban land use categories (EULUC) using geospatial big data: Progress, challenges, and opportunities

Uncovering the Nature of Urban Land Use Composition Using Multi-Source Open Big Data with Ensemble Learning

The 2021 China report of the Lancet Countdown on health and climate change: seizing the window of opportunity.

Production of global daily seamless data cubes and quantification of global land cover change from 1985 to 2020 - iMap World 1.0

Where Does Nighttime Light Come From? Insights from Source Detection and Error Attribution

A novel method to extract urban human settlements by integrating remote sensing and mobile phone locations

Improved Mapping Results of 10 m Resolution Land Cover Classification in Guangdong, China Using Multisource Remote Sensing Data With Google Earth Engine

Mapping global urban boundaries from the global artificial impervious area (GAIA) data

A novel cross-sensor calibration method to generate a consistent night-time lights time series dataset

Regional Mapping of Essential Urban Land Use Categories in China: A Segmentation-Based Approach

Global economic footprint of the COVID-19 pandemic

Mapping essential urban land use categories in China (EULUC-China): preliminary results for 2018.

Annual maps of global artificial impervious area (GAIA) between 1985 and 2018

Sampling Strategy for Detailed Urban Land Use Classification: A Systematic Analysis in Shenzhen

Himawari-8/AHI and MODIS Aerosol Optical Depths in China: Evaluation and Comparison

Effective moratoria on land acquisitions reduce tropical deforestation: evidence from Indonesia

Preliminary Evaluation of the Consistency of Landsat 8 and Sentinel-2 Time Series Products in An Urban Area - An Example in Beijing, China

Urban-Expansion Driven Farmland Loss Follows with the Environmental Kuznets Curve Hypothesis: Evidence from Temporal Analysis in Beijing, China

Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017.

The role of remote sensing on studying mangrove forest extent change

China’s challenges and policy recommendations for addressing climate change and improving public health

Real-Time Estimation of Population Exposure to PM2.5 Using Mobile- and Station-Based Big Data

Unfolding the interplay between carbon flows and socioeconomic development in a city: What can network analysis offer?

Monitoring mangrove forest change in China from 1990 to 2015 using Landsat-derived spectral-temporal variability metrics

Dynamic monitoring of the Poyang Lake wetland by integrating Landsat and MODIS observations

Exploring an efficient habitat index for predicting population and abundance of migratory birds in Poyang Lake Wetland, South China

Modeling the potential of different countries for pandemic spread over the global air network

Forest Types Classification Based on Multi-Source Data Fusion

Spatially and Temporally Weighted Regression: A Novel Method to Produce Continuous Cloud-Free Landsat Imagery

A hierarchical spatiotemporal adaptive fusion model using one image pair

Impact of hydro-thermal conditions on the spatio-temporal patterns of migratory bird populations

The Lancet Countdown: tracking progress on health and climate change.

Penalized Linear Discriminant Analysis of Hyperspectral Imagery for Noise Removal

土地被覆分類を改善するためのマルチソースリモートセンシングデータ融合【Powered by NICT】

雑音除去のためのハイパースペクトル画像のペナルティ付き線形判別分析【Powered by NICT】

Multi-source remotely sensed data fusion for improving land cover classification

Understanding the Rising Phase of the PM2.5 Concentration Evolution in Large China Cities

Healthy cities in China: a Lancet Commission.

Spatiotemporal pattern of bird habitats in the Poyang Lake based on Landsat images

Constucting a unified framework for multi-source remotely sensed data fusion

地球気候データセットの生成と気候変動の応用研究【JST・京大機械翻訳】

Production of the global climate data records and applications to climate change studies

Microbial diversity in lake–river ecotone of Poyang Lake, China

Health and climate change: policy responses to protect public health

A Novel Method for Measuring Landscape Heterogeneity Changes

Spatiotemporal analysis of land use/cover changes in Nanchang area, China

Comparison of Spatiotemporal Fusion Models: A Review

Spatiotemporal reflectance blending in a wetland environment

Fine Land Cover Classification Using Daily Synthetic Landsat-Like Images at 15-m Resolution

using Landsat and MODIS imagery

Chapter 4. Urban Observing Sensors

Abrupt spatiotemporal land and water changes and their potential drivers in Poyang Lake, 2000–2012

A unified spatial-spectral-temporal fusion model using Landsat and MODIS imagery

Animal Reservoir, Natural and Socioeconomic Variations and the Transmission of Hemorrhagic Fever with Renal Syndrome in Chenzhou, China, 2006–2010

Use of earth observation data for applications in public health

Normalized difference vegetation index dynamic and spatiotemporal distribution of migratory birds in the Poyang Lake wetland, China

Empirical comparison of noise reduction techniques for NDVI time-series based on a new measure

Societal response to challenges of global change and human sustainable development

A new generation of data sharing platform for eddy covariance flux data

A Novel Compound Smoother—RMMEH to Reconstruct MODIS NDVI Time Series

Erratum: The role of satellite remote sensing in climate change studies

Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data

Perspective on remote sensing change detection of Poyang Lake wetland

Metadata standard proposal for eddy covariance flux data

Monitoring two decades of urbanization in the Poyang Lake area, China through spectral unmixing

Spectral mixture analysis for bi-sensor wetland mapping using Landsat TM and Terra MODIS data

Bi-scale analysis of multitemporal land cover fractions for wetland vegetation mapping

SPECTRAL UNMIXING OF BLENDED REFLECTANCE FOR DENSER TIME-SERIES MAPPING OF WETLANDS

Developed and developing world responsibilities for historical climate change and CO2 mitigation