Assessing global surface water inundation dynamics using combined satellite information from SMAP, AMSR2 and Landsat [0.03%]
基于SMAP、AMSR2和landsat的联合卫星数据评估全球地表水体淹没动态变化
Jinyang DU,John S Kimball,John Galantowicz et al.
Jinyang DU et al.
A method to assess global land surface water (fw) inundation dynamics was developed by exploiting the enhanced fw sensitivity of L-band (1.4 GHz) passive microwave observations from the Soil Moisture Active Passive (SMAP) mission. The L-ban...
Early spring post-fire snow albedo dynamics in high latitude boreal forests using Landsat-8 OLI data [0.03%]
基于Landsat-8 OLI数据的高纬度针叶林火烧后早春雪上反照率动态研究
Zhuosen Wang,Angela M Erb,Crystal B Schaaf et al.
Zhuosen Wang et al.
Taking advantage of the improved radiometric resolution of Landsat-8 OLI which, unlike previous Landsat sensors, does not saturate over snow, the progress of fire recovery progress at the landscape scale (< 100m) is examined. High quality L...
Retrieval of aerosol optical properties using MERIS observations: Algorithm and some first results [0.03%]
基于MERSI观测的气溶胶光学特性反演算法及初步结果
Linlu Mei,Vladimir Rozanov,Marco Vountas et al.
Linlu Mei et al.
The MEdium Resolution Imaging Spectrometer (MERIS) instrument on board ESA Envisat made measurements from 2002 to 2012. Although MERIS was limited in spectral coverage, accurate Aerosol Optical Thickness (AOT) from MERIS data are retrieved ...
Evaluating soil moisture retrievals from ESA's SMOS and NASA's SMAP brightness temperature datasets [0.03%]
基于ESA的SMOS和NASA的SMAP亮度温度数据集的土壤湿度反演验证研究
A Al-Yaari,J-P Wigneron,Y Kerr et al.
A Al-Yaari et al.
Two satellites are currently monitoring surface soil moisture (SM) using L-band observations: SMOS (Soil Moisture and Ocean Salinity), a joint ESA (European Space Agency), CNES (Centre national d'études spatiales), and CDTI (the Spanish go...
On the detectability of adjacency effects in ocean color remote sensing of mid-latitude coastal environments by SeaWiFS, MODIS-A, MERIS, OLCI, OLI and MSI [0.03%]
关于通过SeaWiFS、MODIS-A、MERIS、OLCI、OLI和MSI遥感检测中纬度沿海环境中邻域效应的可探测性研究
Barbara Bulgarelli,Giuseppe Zibordi
Barbara Bulgarelli
The detectability of adjacency effects (AE) in ocean color remote sensing by SeaWiFS, MODIS-A, MERIS, OLCI, OLI and MSI is theoretically assessed for typical observation conditions up to 36 km offshore (20 km for MSI). The methodology detai...
Vessel detection and classification from spaceborne optical images: A literature survey [0.03%]
基于空间光学图像的船舶检测与分类：文献综述
Urška Kanjir,Harm Greidanus,Krištof Oštir
Urška Kanjir
•A review of 119 papers on ship detection and classification from optical satellite.•From 1978 to March 2017, showing an exponential growth in the number of papers.•Most published methods have very limited validation.•While big steps ha...
Assessing the Accuracy of Multi-Temporal Built-Up Land Layers across Rural-Urban Trajectories in the United States [0.03%]
评估美国城乡过渡带多时期建设用地层的准确性
Stefan Leyk,Johannes H Uhl,Deborah Balk et al.
Stefan Leyk et al.
Global data on settlements, built-up land and population distributions are becoming increasingly available and represent important inputs to a better understanding of key demographic processes such as urbanization and interactions between h...
CONTINUOUS CALIBRATION IMPROVEMENT: LANDSAT 5 THROUGH LANDSAT 8 [0.03%]
连续校正改进： Landsat 5 至 Landsat 8
Nischal Mishra,Dennis Helder,Julia Barsi et al.
Nischal Mishra et al.
Launched in February 2013, the Operational Land Imager (OLI) on-board Landsat 8 continues to perform exceedingly well and provides high science quality data globally. Several design enhancements have been made in the OLI instrument relative...
Eric M Weber,Vincent Y Seaman,Robert N Stewart et al.
Eric M Weber et al.
Although remote sensing has long been used to aid in the estimation of population, it has usually been in the context of spatial disaggregation of national census data, with the census counts serving both as observational data for specifyin...
Estimating surface soil moisture from SMAP observations using a Neural Network technique [0.03%]
基于人工神经网络的SMAP观测数据反演地表土壤湿度估算
J Kolassa,R H Reichle,Q Liu et al.
J Kolassa et al.
A Neural Network (NN) algorithm was developed to estimate global surface soil moisture for April 2015 to March 2017 with a 2-3 day repeat frequency using passive microwave observations from the Soil Moisture Active Passive (SMAP) satellite,...