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Remote Sensing of Environmental Changes in Cold Regions: Methods, Achievements and Challenges

Jinyang Du, Jennifer D. Watts, Lingmei Jiang, Hui Lu, Xiao Cheng, Claude Duguay, Mary Farina, Yubao Qiu, Youngwook Kim, John S. Kimball, Paolo Tarolli
2019 Remote Sensing  
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

Jennifer D Watts, John S Kimball, Annett Bartsch, Kyle C McDonald
2014 Environmental Research Letters  
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

Patrick Sogno, Igor Klein, Claudia Kuenzer
2022 Remote Sensing  
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

Ronny Schroeder, Kyle McDonald, Bruce Chapman, Katherine Jensen, Erika Podest, Zachary Tessler, Theodore Bohn, Reiner Zimmermann
2015 Remote Sensing  
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

G. Robert Brakenridge, Son V. Nghiem, Elaine Anderson, Rodica Mic
2007 Water Resources Research  
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

F. Papa, C. Prigent, F. Aires, C. Jimenez, W. B. Rossow, E. Matthews
2010 Journal of Geophysical Research  
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

Wolfgang Wagner, Sebastian Hahn, Richard Kidd, Thomas Melzer, Zoltan Bartalis, Stefan Hasenauer, Julia Figa-Saldaña, Patricia de Rosnay, Alexander Jann, Stefan Schneider, Jürgen Komma, Gerhard Kubu (+10 others)
2013 Meteorologische Zeitschrift  
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

E. Santi, S. Pettinato, S. Paloscia, P. Pampaloni, G. Macelloni, M. Brogioni
2012 Hydrology and Earth System Sciences  
</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

E. Santi, S. Pettinato, S. Paloscia, P. Pampaloni, G. Macelloni, M. Brogioni
2012 Hydrology and Earth System Sciences Discussions  
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

Richard M. Lucas, Anthea L. Mitchell, John Armston
2015 Current Forestry Reports  
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

Robert J. H. Dunn, F. Aldred, Nadine Gobron, John B. Miller, Kate M. Willett, M. Ades, Robert Adler, Richard, P. Allan, Rob Allan, J. Anderson, Anthony Argüez, C. Arosio (+163 others)
2021 Bulletin of The American Meteorological Society - (BAMS)  
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

Alan Robock, Konstantin Y. Vinnikov, Govindarajalu Srinivasan, Jared K. Entin, Steven E. Hollinger, Nina A. Speranskaya, Suxia Liu, A. Namkhai
2000 Bulletin of The American Meteorological Society - (BAMS)  
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 fatcat:ndbbuxaatbdvnmwh4hgudq3aqu

ORCHIDEE-MICT (revision 4126), a land surface model for the high-latitudes: model description and validation

Matthieu Guimberteau, Dan Zhu, Fabienne Maignan, Ye Huang, Chao Yue, Sarah Dantec-Nédélec, Catherine Ottlé, Albert Jornet-Puig, Ana Bastos, Pierre Laurent, Daniel Goll, Simon Bowring (+16 others)
2017 Geoscientific Model Development Discussions  
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

Scott Williamson, David Hik, John Gamon, Jeffrey Kavanaugh, Gwenn Flowers
2014 Remote Sensing  
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

Seyed Hamed Alemohammad, Bin Fang, Alexandra G. Konings, Julia K. Green, Jana Kolassa, Catherine Prigent, Filipe Aires, Diego Miralles, Pierre Gentine
2016 Biogeosciences Discussions  
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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