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Remote Sensing of Environmental Changes in Cold Regions: Methods, Achievements and Challenges
2019
Remote Sensing
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selected key variables related to ice, snow, permafrost, water bodies, and vegetation; (b) highlighting recent environmental nonstationarity occurring in the Arctic, Tibetan Plateau, and Antarctica as ...
This paper provides an overview of recent achievements, challenges, and opportunities for land remote sensing of cold regions by (a) summarizing the physical principles and methods in remote sensing of ...
Daily satellite passive microwave observations were used to monitor spatial variability and multi-year trends in surface inundation in permafrost affected regions [29, 188] . ...
doi:10.3390/rs11161952
fatcat:63wghdyherdo3cyxasqpcbrz3m
Surface water inundation in the boreal-Arctic: potential impacts on regional methane emissions
2014
Environmental Research Letters
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These findings underscore the importance of monitoring changes in surface moisture and temperature when assessing the vulnerability of boreal-Arctic wetlands to enhanced greenhouse gas emissions under ...
Here we conduct a satellite data driven model investigation of the combined effects of surface warming and moisture variability on high northern latitude (^45° N) wetland CH4 emissions, by considering ...
Acknowledgements Portions of this work were conducted at the University of M ontana and Jet Propulsion Laboratory, California Institute of Technology with funding provided by the NASA Earth System Science ...
doi:10.1088/1748-9326/9/7/075001
fatcat:tkydtr5djbgnlii6zz5mqyyg5m
Remote Sensing of Surface Water Dynamics in the Context of Global Change—A Review
2022
Remote Sensing
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Remote sensing is able to delineate surface water in a number of ways by using optical as well as active and passive microwave sensors. ...
We observe that a wide array of available sensors and datasets, along with increasing computing capacities, have shaped the field over the last years. ...
In general, four major categories of sensors are available for detecting surface water and monitoring dynamics: active and passive sensors working in the visible to infrared spectrum, or microwave spectrum ...
doi:10.3390/rs14102475
fatcat:lsqijugsjzbvxlfoggvv4nr56y
Development and Evaluation of a Multi-Year Fractional Surface Water Data Set Derived from Active/Passive Microwave Remote Sensing Data
2015
Remote Sensing
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monitoring of inundation patterns because they are sensitive to the distribution of liquid water in the landscape and cover large areas with daily repeat periods at high latitudes. ...
ideal for the characterization of surface water dynamics in vegetated ecosystems subject to seasonal plant dynamics. ...
Acknowledgments: Development of this dataset was supported by the NASA Making Earth Science Data ...
doi:10.3390/rs71215843
fatcat:t5lgblx5ircrlhi6y55oout32a
Orbital microwave measurement of river discharge and ice status
2007
Water Resources Research
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1] Satellite passive microwave sensors provide global coverage of the Earth's land surface on a near-daily basis without severe interference from cloud cover. ...
Water surface area in a river reach increases as flow widens, and any temporally calibrated observation sensitive to changing water area monitors discharge. ...
The research carried out at the Jet Propulsion Laboratory, California Institute of Technology was supported under a contract with NASA, and that at Dartmouth College was supported by NASA and by the North ...
doi:10.1029/2006wr005238
fatcat:wb6gue4zrrc65g7lxcvtz7osha
Interannual variability of surface water extent at the global scale, 1993–2004
2010
Journal of Geophysical Research
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Land surface waters play a primary role in the global water cycle and climate. ...
Over inland water bodies and large river basins, we assess the variability of the surface water extent against related variables such as in situ river discharges, altimeter-derived and in situ river/floodplain ...
The complementary suite of satellite observations used to detect and quantify surface water extent covers a large wavelength range. [13] (a) Passive microwave emissivities between 19 and 85 GHz: These ...
doi:10.1029/2009jd012674
fatcat:ifehw5v3zzcldfy6zlz77pyovm
The ASCAT Soil Moisture Product: A Review of its Specifications, Validation Results, and Emerging Applications
2013
Meteorologische Zeitschrift
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Europe) even better than currently available soil moisture data derived from passive microwave sensors. ...
ASCAT was designed to observe wind speed and direction over the oceans and was initially not foreseen for monitoring soil moisture over land. ...
Acknowledgments We gratefully acknowledge the support of the Austrian Space Applications Programme (ASAP) through the pro- ...
doi:10.1127/0941-2948/2013/0399
fatcat:7okcemnl6bampneiha2rk4w3am
An algorithm for generating soil moisture and snow depth maps from microwave spaceborne radiometers: HydroAlgo
2012
Hydrology and Earth System Sciences
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</strong> A systematic and timely monitoring of land surface parameters that affect the hydrological cycle at local and global scales is of primary importance in obtaining a better understanding of geophysical ...
Soil moisture and snow water equivalent are two quantities that play a major role in these applications. ...
Generation of real time SMC and SD maps from passive microwave sensors are the key outputs of this project. ...
doi:10.5194/hess-16-3659-2012
fatcat:qx6asst26jfipncbrjd6obz2ra
An algorithm for generating soil moisture and snow depth maps from microwave spaceborne radiometers: Hydroalgo
2012
Hydrology and Earth System Sciences Discussions
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A systematic and timely monitoring of land surface parameters that affect the hydrological cycle at local and global scales is of primary importance in obtaining a better understanding of geophysical processes ...
Soil moisture and snow water equivalent are two quantities that play a major role in these applications. ...
Furthermore, the authors would like to express their gratitude to Tom Jackson for kindly making available the archive of USDA/ARS data for a more accurate validation of the soil moisture algorithm. ...
doi:10.5194/hessd-9-3851-2012
fatcat:56r3z6x7hrcx3aat72cf3mhpiy
Measurement of Forest Above-Ground Biomass Using Active and Passive Remote Sensing at Large (Subnational to Global) Scales
2015
Current Forestry Reports
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Within the global forest area, a diverse range of forest types exist with each supporting varying amounts of biomass and allocations to different plant components. ...
Comparisons of data and derived products have, in some cases, also contributed to our understanding of changes in carbon stocks across large areas. ...
For eastern Australia, [46•] established that surface moisture conditions influenced the ability to retrieve biomass using ALOS PALSAR data, with the use of scenes acquired under the driest conditions ...
doi:10.1007/s40725-015-0021-9
fatcat:w6le4hl3incjdo3ahvbeyoxv3a
Global Climate
2021
Bulletin of The American Meteorological Society - (BAMS)
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Special Sensor Microwave Imager/Sounder
SSMIS
Special Sensor Microwave Imager/Sounder
SST
sea surface temperature
SSU
Stratospheric Sounding Unit
SW
shortwave
TCWV
total column water vapor ...
The ability to monitor its spatial and temporal dynamics is critical for agriculture and water management, as well as to diagnose climate changes. ...
doi:10.1175/bams-d-21-0098.1
fatcat:pkoben2dorcmngmr2wwk6wtmfa
The Global Soil Moisture Data Bank
2000
Bulletin of The American Meteorological Society - (BAMS)
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The data bank currently has soil moisture observations for over 600 stations from a large variety of global climates, including the former Soviet Union, China, Mongolia, India, and the United States. ...
The observations have been used to examine the temporal and spatial scales of soil moisture variations, to evaluate Atmospheric Model Intercomparison Project, Project for Intercomparison of Land-Surface ...
The views expressed herein are those of the authors and do not necessarily reflect the views of NOAA or NASA. ...
doi:10.1175/1520-0477(2000)081<1281:tgsmdb>2.3.co;2
fatcat:ndbbuxaatbdvnmwh4hgudq3aqu
ORCHIDEE-MICT (revision 4126), a land surface model for the high-latitudes: model description and validation
2017
Geoscientific Model Development Discussions
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The model performance is good with respect to empirical data, despite a simulated excessive plant water stress and a positive land surface temperature bias. ...
To this end, this study lays out relevant new parameterizations in the ORCHIDEE-MICT land surface model. ...
Values lower than MTE-GPP were simulated in Eastern Siberia under the GSWP3 forcing, mainly due to water stress (see also underestimated biomass for eastern Siberia in Figs. 21). ...
doi:10.5194/gmd-2017-122
fatcat:wlu6bzyuunfwrdppy47hfzoqxq
Estimating Temperature Fields from MODIS Land Surface Temperature and Air Temperature Observations in a Sub-Arctic Alpine Environment
2014
Remote Sensing
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This effect is likely a consequence of LST temperature averages being differentially affected by cloud cover over warm and cold surfaces. ...
environments dominated by a complex cryosphere where in situ observations are scarce. ...
All authors shared equally in the editing of the manuscript. ...
doi:10.3390/rs6020946
fatcat:wkgac5bv5jaefmadchbvevkoze
Water, Energy, and Carbon with Artificial Neural Networks (WECANN): A statistically-based estimate of global surface turbulent fluxes using solar-induced fluorescence
2016
Biogeosciences Discussions
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The new retrieval, named Water, Energy, and Carbon with Artificial Neural Networks (WECANN), provides surface turbulent fluxes from 2007 to 2015 at 1° × 1° spatial resolution and on monthly time resolution ...
The impact of SIF on WECANN retrievals is evaluated by removing it from the input dataset of the ANN, and it shows that SIF has significant influence, especially in regions of high vegetation cover and ...
It merges observations from passive sensors (e.g., Scanning Multichannel Microwave Radiometer (SMMR), Special Sensor Microwave/Imager (SSM/I), AMSR-E) and active ones (e.g., the 20 European Remote Sensing ...
doi:10.5194/bg-2016-495
fatcat:f3wstefshzcgxebvdsbvrdbvka
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