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The past and future of global river ice 期刊论文
NATURE, 2020, 577 (7788) : 69-+
作者:  Yang, Xiao;  Pavelsky, Tamlin M.;  Allen, George H.
收藏  |  浏览/下载：6/0  |  提交时间：2020/05/13

More than one-third of Earth'  s landmass is drained by rivers that seasonally freeze over. Ice transforms the hydrologic(1,2), ecologic(3,4), climatic(5) and socio-economic(6-8) functions of river corridors. Although river ice extent has been shown to be declining in many regions of the world(1), the seasonality, historical change and predicted future changes in river ice extent and duration have not yet been quantified globally. Previous studies of river ice, which suggested that declines in extent and duration could be attributed to warming temperatures(9,10), were based on data from sparse locations. Furthermore, existing projections of future ice extent are based solely on the location of the 0-degrees C isotherm11. Here, using satellite observations, we show that the global extent of river ice is declining, and we project a mean decrease in seasonal ice duration of 6.10 +/- 0.08 days per 1-degrees C increase in global mean surface air temperature. We tracked the extent of river ice using over 400,000 clear-sky Landsat images spanning 1984-2018 and observed a mean decline of 2.5 percentage points globally in the past three decades. To project future changes in river ice extent, we developed an observationally calibrated and validated model, based on temperature and season, which reduced the mean bias by 87 per cent compared with the 0-degree-Celsius isotherm approach. We applied this model to future climate projections for 2080-2100: compared with 2009-2029, the average river ice duration declines by 16.7 days under Representative Concentration Pathway (RCP) 8.5, whereas under RCP 4.5 it declines on average by 7.3 days. Our results show that, globally, river ice is measurably declining and will continue to decline linearly with projected increases in surface air temperature towards the end of this century.


  
Recovering Land Surface Temperature Under Cloudy Skies Considering the Solar-Cloud-Satellite Geometry: Application to MODIS and Landsat-8 Data 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019, 124 (6) : 3401-3416
作者:  Wang, Tianxing;  Shi, Jiancheng;  Ma, Ya;  Husi, Letu;  Comyn-Platt, Edward;  Ji, Dabin;  Zhao, Tianjie;  Xiong, Chuan
收藏  |  浏览/下载：8/0  |  提交时间：2019/11/26
land surface temperature  cloudy skies  solar-cloud-satellite geometry  MODIS  Landsat-8  
Improved Assessment of Atmospheric Water Vapor Content in the Himalayan Regions Around the Kullu Valley in India Using Landsat-8 Data 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (1) : 462-475
作者:  Varade, D.;  Dikshit, O.
收藏  |  浏览/下载：2/0  |  提交时间：2019/04/09
water vapor  orthographic correction  split window method  Landsat-8  thermal infrared  Himalaya  
A mixture emissivity analysis method for urban land surface temperature retrieval from Landsat 8 data 期刊论文
LANDSCAPE AND URBAN PLANNING, 2018, 179: 63-71
作者:  Li, Tianyu;  Meng, Qingmin
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
Urban land surface  Heterogeneous landscape  Mixture analysis of emissivity  Landsat 8 imagery  
Synergistic use of Landsat 8 OLI image and airborne LiDAR data for above-ground biomass estimation in tropical lowland rainforests 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2017, 406
作者:  Phua, Mui-How;  Johari, Shazrul Azwan;  Wong, Ong Cieh;  Ioki, Keiko;  Mahali, Maznah;  Nilus, Reuben;  Coomes, David A.;  Maycock, Colin R.;  Hashim, Mazlan
收藏  |  浏览/下载：6/0  |  提交时间：2019/04/09
Tropical forest  Above-ground biomass  Landsat 8 OLI  Airborne LiDAR  Borneo  REDD  
Analysis of Thermal Structure of Arctic Lakes at Local and Regional Scales Using in Situ and Multidate Landsat-8 Data 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (11)
作者:  Huang, Yan;  Liu, Hongxing;  Hinkel, Kenneth;  Yu, Bailang;  Beck, Richard;  Wu, Jianping
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
lake surface temperature  Landsat-8  spatial pattern  climatic factors  lake morphometry  Arctic  
Improving forest sampling strategies for assessment of fuel reduction burning 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2017, 392
作者:  Gharun, Mana;  Possell, Malcolm;  Jenkins, Meaghan E.;  Poon, Lai Fan;  Bell, Tina L.;  Adams, Mark A.
收藏  |  浏览/下载：11/0  |  提交时间：2019/04/09
Spatial analysis  Forest fuel  Soil carbon  Soil nitrogen  Biomass  Stratified sampling  Bushfires  Prescribed burning  Landsat 8