A multiangle imaging spectroradiometer for terrestrial remote sensing from the earth observing system

1991 ◽  
Vol 3 (2) ◽  
pp. 92-107 ◽  
Author(s):  
David J. Diner ◽  
Carol J. Bruegge ◽  
John V. Martonchik ◽  
Graham W. Bothwell ◽  
Eric D. Danielson ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Earth Observing System ◽  
The Earth ◽  
Multiangle Imaging ◽  
Multiangle Imaging Spectroradiometer

scholarly journals Evaluation of Remote Sensing and Reanalysis Snow Depth Datasets over the Northern Hemisphere during 1980–2016

2020 ◽  
Vol 12 (19) ◽  
pp. 3253
Author(s):  
Lin Xiao ◽  
Tao Che ◽  
Liyun Dai
Keyword(s):  
Remote Sensing ◽  
Snow Depth ◽  
Snow Accumulation ◽  
Climate Change Projections ◽  
Mountain Areas ◽  
Earth Observing System ◽  
The Earth ◽  
Snow Condition ◽  
Modern Era ◽  
Key Parameter

Snow cover is a key parameter of the climate system and its significant seasonal and annual variability have significant impacts on the surface energy balance and global water circulation. However, current snow depth datasets show large inconsistencies and uncertainties, which limit their applications in climate change projections and hydrological processes simulations. In this study, a comprehensive assessment of five hemispheric snow depth datasets was carried out against ground observations from 43,391 stations. The five snow depth datasets included three remote sensing datasets, i.e., Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E), Advanced Microwave Scanning Radiometer-2 (AMSR2), Global Snow Monitoring for Climate Research (GlobSnow), and two reanalysis datasets, i.e., ERA-Interim and the Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2). Assessment results imply that the spatial distribution of GlobSnow and ERA-Interim exhibit overall better agreements with ground observations than other datasets. GlobSnow and ERA-Interim exhibit less uncertainty during the snow accumulation and ablation periods, respectively. In plain and forested regions, GlobSnow, ERA-Interim and MERRA-2 show better performances, while in mountain and forested mountain areas, GlobSnow exhibits the best performance. AMSR-E and AMSR2 agree better with ground observations in shallow snow condition (0–10 cm), while MERRA-2 shows more satisfying performance when snow depth exceeds 50 cm. These systematic and integrated understanding of the five representative snow depth datasets provides information on data selection and data refinement, as well as data fusion, which is our next work of interest.

Forecast of manifestations of dangerous geological processes in Dnipropetrovsk with the use of methods of aerospace remote sensing of the Earth

2004 ◽  
Vol 10 (5-6) ◽  
pp. 194-196
Author(s):  
V.I. Voloshin ◽  
◽  
A.S. Levenko ◽  
N.N. Peremetchik ◽  
◽  
...  
Keyword(s):  
Remote Sensing ◽  
Geological Processes ◽  
The Earth

Algorithm for planning of realization of thematic programs of the Earth remote sensing

2007 ◽  
Vol 13 (2) ◽  
pp. 39-42
Author(s):  
A.I. Kirillov ◽  
◽  
Ye.I. Kapustin ◽  
N.A. Kirillova ◽  
E.I. Makhonin ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Earth Remote Sensing ◽  
The Earth

Basis for the technique of the external control of the optical equipment for the remote sensing of the Earth surface

1997 ◽  
Vol 3 (3-4) ◽  
pp. 50-53
Author(s):  
O.D. Fedorovskyi ◽  
◽  
V.I. Kononov ◽  
K.Yu. Sukhanov ◽  
◽  
...  
Keyword(s):  
Remote Sensing ◽  
External Control ◽  
Earth Surface ◽  
The Earth

System Information Model of Obtaining and Using Data of Remote Sensing the Earth

2008 ◽  
Vol 40 (11) ◽  
pp. 46-56
Author(s):  
Ludmila I. Samoilenko ◽  
Sergey A. Baulin ◽  
Tatyana V. Ilyenko ◽  
Margarita A. Kirnosova ◽  
Ludmila N. Kolos ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Information Model ◽  
The Earth ◽  
System Information ◽  
Using Data
Sign in / Sign up

Export Citation Format

Share Document