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| 1 | 自然灾害韧弹性社会的理论范式显示文摘全球环境变化和经济快速发展导致自然灾害的增加,已经成为现代人类社会最严重的环境问题之一。面对自然灾害风险防控的严峻形势,人类社会必须建设得足够强大,以应对可能发生的自然灾害风险。在提出'构筑自然灾害韧弹性社会减轻自然灾害风险'的基础上,本文重点分析韧弹性的确切涵义,通过综合灾害防御、损害恢复和应急管控,诠释自然灾害韧弹性社会的内涵、组分和结构;建立自然灾害韧弹性社会的指标体系和定量表征方法,评估案例区自然灾害韧弹性社会的状况;进而针对城乡差异设计建设自然灾害韧弹性社会的途径。依此,系统性地构建了包括概念—结构—指标—途径的自然灾害韧弹性社会理论范式。建设自然灾害韧弹性社会是人类的必然选择,这与社会经济可持续发展高度一致。研究旨在推动综合应对自然灾害风险,探索建设'更强、更安全、更持续'的自然灾害韧弹性社会途径,支撑国家防灾减灾战略转变、实施'关键领域与薄弱环节九大工程'。 | 吴绍洪 高江波 韦炳干 张继权 郭桂桢 王军 邓浩宇 刘路路 贺山峰 许尔琪 | 2021 | 地理学报2021，76，5： | 20 |
| 2 | Annual 30-m land use/land cover maps of China for 1980–2015 from the integration of AVHRR, MODIS and Landsat data using the BFAST algorithm显示文摘Annual land use land cover(LULC)change information at medium spatial resolution(i.e.at 30 m)is required in numerous subjects,such as biophysical modelling,land management and global change studies.Annual LULC information,however,is usually not available at continental or national scale due to reasons such as insufficient remote sensing data coverage or lack of computational capabilities.Here we integrate high temporal resolution and coarse spatial resolution satellite images(i.e.,Moderate Resolution Imaging Spectroradiometer(MODIS)and Global Inventory Modelling and Mapping Studies(GIMMS)normalized difference vegetation index(NDVI))with high spatial resolution datasets(China’s Land-Use/cover Datasets(CLUDs)derived from 30-meter Landsat TM/ETM+/OLI)to generate reliable annual nominal 30 m LULC maps for the whole of China between 1980 and 2015.We also test the performance of a statistical based change detection algorithm(Breaks for Additive Seasonal and Trend),originally designed for tracking forest change,in classifying all-type LULC change.As a result,a nominal 30 m annual land use/land cover datasets(CLUD-A)from 1980 to 2015 was developed for the whole China.The mapping results were assessed with a change sample dataset,a regional annual validation sample set and a three-year China sample set.Of the detected change years,75.61%matched the exact time of conversion within±1 year.Annual mapping results provided a detail process of urbanization,deforestation,afforestation,water and cropland dynamics over the past 36 years.The consistent characterization of land change dynamics for China can be further used in scientific research and to support land management for policy-makers. | Yidi XU Le YU Dailiang PENG Jiyao ZHAO Yuqi CHENG Xiaoxuan LIU Wei LI Ran MENG Xinliang XU Peng GONG | 2020 | Science China Earth Sciences2020，63，9： | 12 |
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