Comparison of EPIC-Simulated and MODIS-Derived Leaf Area Index (LAI) across Multiple Spatial Scales [0.03%]
基于EPIC模拟和MODIS反演的叶面积指数(LAI)多尺度对比研究
John S Iiames,Ellen Cooter,Andrew N Pilant et al.
John S Iiames et al.
Modeled leaf area index (LAI) in conjunction with satellite-derived LAI data streams may be used to support various regional and local scale air quality models for retrospective and future meteorological assessments. The Environmental Polic...
Assessing Daily Evapotranspiration Methodologies from One-Time-of-Day sUAS and EC Information in the GRAPEX Project [0.03%]
基于GRAPEX项目的单时相无人机和EC信息的日蒸散发方法评估
Ayman Nassar,Alfonso Torres-Rua,William Kustas et al.
Ayman Nassar et al.
Daily evapotranspiration (ET d ) plays a key role in irrigation water management and is particularly important in drought-stricken areas, such as California and high-value crops. Remote sensing allows for the cost-effective estimation of sp...
Combining Remote-Sensing-Derived Data and Historical Maps for Long-Term Back-Casting of Urban Extents [0.03%]
结合遥感数据和历史地图进行长期的城市范围回溯计算
Johannes H Uhl,Stefan Leyk,Zekun Li et al.
Johannes H Uhl et al.
Spatially explicit, fine-grained datasets describing historical urban extents are rarely available prior to the era of operational remote sensing. However, such data are necessary to better understand long-term urbanization and land develop...
Estimating the Impact of COVID-19 on the PM2.5 Levels in China with a Satellite-Driven Machine Learning Model [0.03%]
利用卫星驱动的机器学习模型估算COVID-19对中国PM2.5水平的影响
Qiulun Li,Qingyang Zhu,Muwu Xu et al.
Qiulun Li et al.
China implemented an aggressive nationwide lockdown procedure immediately after the COVID-19 outbreak in January 2020. As China emerges from the impact of COVID-19 on national economic and industrial activities, it has become the site of a ...
Isolating Anthropogenic Wetland Loss by Concurrently Tracking Inundation and Land Cover Disturbance across the Mid-Atlantic Region, U.S [0.03%]
结合追踪中大西洋地区的淹没和土地利用干扰隔离人为湿地的丧失
Melanie K Vanderhoof,Jay Christensen,Yen-Ju G Beal et al.
Melanie K Vanderhoof et al.
Global trends in wetland degradation and loss have created an urgency to monitor wetland extent, as well as track the distribution and causes of wetland loss. Satellite imagery can be used to monitor wetlands over time, but few efforts have...
Assessment of the GOES-16 Clear Sky Mask Product over the Contiguous USA Using CALIPSO Retrievals [0.03%]
基于CALIPSO观测的GOES-16全美地区晴空掩模产品检验
Pedro A Jiménez
Pedro A Jiménez
Cloud initialization is a challenge in numerical weather prediction. Probably the most relevant observations for this task come from geostationary satellites. These satellites provide the cloud mask with high spatio-temporal resolution and ...
Exploring the Potential of Statistical Modeling to Retrieve the Cloud Base Height from Geostationary Satellites: Applications to the ABI Sensor on Board of the GOES-R Satellite Series [0.03%]
统计模型在地静止卫星上反演云底高度的潜力探索——应用到GOES-R系列卫星的ABI传感器上
Pedro A Jiménez,Tyler McCandless
Pedro A Jiménez
Although cloud base height is a relevant variable for many applications, including aviation, it is not routinely monitored by current geostationary satellites. This is probably a consequence of the difficulty of providing reliable estimatio...
Standardized Soil Moisture Index for Drought Monitoring Based on SMAP Observations and 36 Years of NLDAS Data: A Case Study in the Southeast United States [0.03%]
基于SMAP观测和36年NLDAS数据的土壤水分干旱监测标准化指数：美国东南部地区试验研究
Yaping Xu,Lei Wang,Kenton W Ross et al.
Yaping Xu et al.
Droughts can severely reduce the productivity of agricultural lands and forests. The United States Department of Agriculture (USDA) Southeast Regional Climate Hub (SERCH) has launched the Lately Identified Geospecific Heightened Threat Syst...
Matthew F McCabe,Diego Miralles,Thomas R H Holmes et al.
Matthew F McCabe et al.
Characterizing the terrestrial carbon, water and energy cycles depends strongly on a capacity to accurately reproduce the spatial and temporal dynamics of land surface evaporation. For this, and many other reasons, monitoring terrestrial ev...
Predicting the Spatial Distribution and Severity of Soil Erosion in the Global Tropics using Satellite Remote Sensing [0.03%]
基于卫星遥感预测全球热带地区的土壤侵蚀空间分布及严重程度
Tor-Gunnar Vågen,Leigh Ann Winowiecki
Tor-Gunnar Vågen
This research paper presents the first consistent spatial assessments of soil erosion prevalence based on Earth observation data and systematic field surveys to train models that predict soil erosion prevalence across the global tropics. Th...