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Fusion of optical and microwave remote sensing data for snow cover mapping

G. Venkataraman, B.C. Mahato, S. Ravi, Y.S. Rao, P. Mathur, Snehmani
<i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6i67v2zuujhfvocqaapmnsoifm" style="color: black;">IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS &#39;04. Proceedings. 2004</a> </i> &nbsp;
Optical remote sensing data and microwave remote sensing data are complementary to each other and hence the fusion of these data would help in improving the classification accuracy.  ...  In this paper IRS LISS-III data and Radarsat-1 SAR data are fused using Bayesian formulation of data fusion.  ...  The authors are thankful to the Director, IIT-Bombay and Director, SASE, Chandigarh for their continuous support and encouragement.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/igarss.2004.1369817">doi:10.1109/igarss.2004.1369817</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/igarss/VenkataramanMRRMS04.html">dblp:conf/igarss/VenkataramanMRRMS04</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sy4dwl4ojjgstlyjxjxltmeeze">fatcat:sy4dwl4ojjgstlyjxjxltmeeze</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721040506/http://dspace.library.iitb.ac.in/xmlui/bitstream/handle/10054/1681/29947.pdf;jsessionid=41F311F2FFD0A9B3F10E6A2B970B76D0?sequence=3" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c9/30/c93012292b95e9de5eb02eb331412caa06fbbb92.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/igarss.2004.1369817"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

The recent developments in cloud removal approaches of MODIS snow cover product

Xinghua Li, Yinghong Jing, Huanfeng Shen, Liangpei Zhang
<span title="2019-05-17">2019</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xjanl2qypjf63cwvjmqfpmzmra" style="color: black;">Hydrology and Earth System Sciences</a> </i> &nbsp;
</strong> The snow cover products of optical remote sensing systems play an important role in research into global climate change, the hydrological cycle, and the energy balance.  ...  The multi-source fusion methods utilize the complementary information among different sources among optical observations, microwave observations, and station observations.</p>  ...  Optical, microwave, and station observations In terms of multi-source fusion methods, the fusion of optical and microwave data is the most common approach, and the fusion of optical and station observations  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/hess-23-2401-2019">doi:10.5194/hess-23-2401-2019</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sgl334eisfcibhonkjzah637hq">fatcat:sgl334eisfcibhonkjzah637hq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200220003815/https://pdfs.semanticscholar.org/abe5/ac4498c2010a8d0c9afeded23de395cd7820.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ab/e5/abe5ac4498c2010a8d0c9afeded23de395cd7820.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/hess-23-2401-2019"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

The recent developments in spatio-temporally continuous snow cover product generation

Xinghua Li, Yinghong Jing, Huanfeng Shen, Liangpei Zhang
<span title="2019-02-13">2019</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yoealyvdl5cppbhfojs7qfgu5i" style="color: black;">Hydrology and Earth System Sciences Discussions</a> </i> &nbsp;
</strong> The snow cover products of optical remote sensing systems play an important role in research into global climate change, the hydrological cycle, the energy balance, and so on.  ...  However, cloud cover results in spatial and temporal discontinuity for long-term snow monitoring.  ...  Optical, microwave, and station observations In terms of multi-source fusion methods, the fusion of optical and microwave data is the most common approach, and the fusion of optical and station observations  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/hess-2018-633">doi:10.5194/hess-2018-633</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/f6inwzvnz5ga3dnrncvhzxdq6e">fatcat:f6inwzvnz5ga3dnrncvhzxdq6e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190428113118/https://www.hydrol-earth-syst-sci-discuss.net/hess-2018-633/hess-2018-633.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/63/54/6354b52bf5a8b070b7c0f78da029a7e049f88770.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/hess-2018-633"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

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
<span title="2019-08-20">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
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  ...  missions and emerging methods for accurate, timely, and multi-scale mapping of cold regions.  ...  The fusion of microwave and optical data through traditional supervised classification (e.g., maximum-likelihood classifier) [205] and machine-learning approaches [206, 207] enables improved land cover  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs11161952">doi:10.3390/rs11161952</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/63wghdyherdo3cyxasqpcbrz3m">fatcat:63wghdyherdo3cyxasqpcbrz3m</a> </span>
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Remote sensing for snow hydrology in China: challenges and perspectives

Jian Wang, Hongxing Li, Xiaohua Hao, Xiaodong Huang, Jinliang Hou, Tao Che, Liyun Dai, Tiangang Liang, Chunlin Huang, Hongyi Li, Zhiguang Tang, Zengyan Wang
<span title="2014-06-27">2014</span> <i title="SPIE-Intl Soc Optical Eng"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/432bmec4lfhu5cxeshhodwkttm" style="color: black;">Journal of Applied Remote Sensing</a> </i> &nbsp;
Snow is one of the most important components of the cryosphere. Remote sensing of snow focuses on the retrieval of snow parameters and monitoring of variations in snow using satellite data.  ...  The 30-year achievements of research in different aspects of snow remote sensing in China, especially in (1) methods of retrieving snow cover, snow depth/snow water equivalent, and grain size and (2) applications  ...  Because microwave remote sensing data can derive snow depth/SWE and optical remote sensing data can accurately obtain snow cover area, snow data assimilation usually focuses on how to assimilate microwave  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/1.jrs.8.084687">doi:10.1117/1.jrs.8.084687</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mncxhhtl25etbj3t5sefxhb5dq">fatcat:mncxhhtl25etbj3t5sefxhb5dq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180722224208/https://www.spiedigitallibrary.org/journals/Journal-of-Applied-Remote-Sensing/volume-8/issue-1/084687/Remote-sensing-for-snow-hydrology-in-China--challenges-and/10.1117/1.JRS.8.084687.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ed/c4/edc49216e2497591b277778c315d8734678dd73d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/1.jrs.8.084687"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Downscaling Snow Depth Mapping by Fusion of Microwave and Optical Remote-Sensing Data Based on Deep Learning

Linglong Zhu, Yonghong Zhang, Jiangeng Wang, Wei Tian, Qi Liu, Guangyi Ma, Xi Kan, Ya Chu
<span title="2021-02-07">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
This paper proposed a deep learning approach based on downscaling snow depth retrieval by fusion of satellite remote-sensing data with multiple spatial scales and diverse characteristics.  ...  Accurate high spatial resolution snow depth mapping in arid and semi-arid regions is of great importance for snow disaster assessment and hydrological modeling.  ...  Acknowledgments: We thank National Tibetan Plateau Data Center that provides long-term series of daily snow depth datasets in China (http://westdc.westgis.ac.cn/zh-hans/ (accessed on 1 November 2020)),  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs13040584">doi:10.3390/rs13040584</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ynpptuhtrrgxfjtudi5v4xvrqe">fatcat:ynpptuhtrrgxfjtudi5v4xvrqe</a> </span>
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Remote Sensing of Mountain Glaciers and Related Hazards [chapter]

Pratima Pandey, Alagappan Ramanathan, Gopalan Venkataraman
<span title="2016-06-08">2016</span> <i title="InTech"> Environmental Applications of Remote Sensing </i> &nbsp;
The present chapter explores the prospective of remote sensing technology for understanding and surveying glaciers formed at high, inaccessible mountains and glacier-induced hazards.  ...  Remote sensing technology enables extraction of glacier parameters such as albedo/reflectance/scattering, glacier area, glacier zones and facies, equilibrium line, glacier thickness, volume, mass balance  ...  Optical remote sensing data is more suitable for snow cover mapping, glacier area and snout monitoring.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/61917">doi:10.5772/61917</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/32cpqk7scncqjdoczohmgfaoym">fatcat:32cpqk7scncqjdoczohmgfaoym</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190503211233/https://cdn.intechopen.com/pdfs/49608.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/64/ea/64ea7312e2dbad80f8724c1e67034605bc2305f2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/61917"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Editorial for Special Issue: "Remote Sensing of Environmental Changes in Cold Regions"

Jinyang Du, Jennifer D. Watts, Hui Lu, Lingmei Jiang, Paolo Tarolli
<span title="2019-09-18">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
Cold regions, characterized by the presence of permafrost and extensive snow and ice cover, are significantly affected by changing climate [...]  ...  Alternatively, optical remote sensing enables surface water mapping at sub-meter to meter scales.  ...  Theoretical modeling-For improving the current understanding of L-band microwave emissions from snow-covered soil, the Wave Approach for LOw-frequency MIcrowave emission in Snow (WALOMIS) model, initially  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs11182165">doi:10.3390/rs11182165</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/stkbxauljfdqdo5tgjlt66vtxi">fatcat:stkbxauljfdqdo5tgjlt66vtxi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200209160214/https://res.mdpi.com/d_attachment/remotesensing/remotesensing-11-02165/article_deploy/remotesensing-11-02165.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/38/eb/38ebb35c576085c90bf3bd98b256fecb9484387e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs11182165"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Estimating Snow Depth Using Multi-Source Data Fusion Based on the D-InSAR Method and 3DVAR Fusion Algorithm

Yang Liu, Lanhai Li, Jinming Yang, Xi Chen, Jiansheng Hao
<span title="2017-11-21">2017</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
In snow remote sensing research, the C-band of SAR is a major tool for map drawing and snow areas monitoring, due to its broad data sources and short revisiting period [27] .  ...  The data fusion methods for integrating the two types of data include filtering algorithms and variation algorithms.  ...  remote sensing with in situ data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs9111195">doi:10.3390/rs9111195</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5qukjsefqnczjfzyb5co2cyrvm">fatcat:5qukjsefqnczjfzyb5co2cyrvm</a> </span>
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Mapping Paddy Rice with Satellite Remote Sensing: A Review

Rongkun Zhao, Yuechen Li, Mingguo Ma
<span title="2021-01-07">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/oglosmy3gbhuzobyjit4qalakq" style="color: black;">Sustainability</a> </i> &nbsp;
Mapping methods based on the integration of optical and microwave remote sensing.  ...  According to the data sources used, the methods are divided into three categories: (I) Optical mapping methods based on remote sensing; (II) Mapping methods based on microwave remote sensing; and (III)  ...  Acknowledgments: In this study, the papers were downloaded from the Web of Science and China National Knowledge Infrastructure, thanks to the retrieval and download services of the above websites.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/su13020503">doi:10.3390/su13020503</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bpjcnezpbjdbzmwda4lxhok6ce">fatcat:bpjcnezpbjdbzmwda4lxhok6ce</a> </span>
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Dynamic Mapping of Subarctic Surface Water by Fusion of Microwave and Optical Satellite Data Using Conditional Adversarial Networks

Hiroki Mizuochi, Yoshihiro Iijima, Hirohiko Nagano, Ayumi Kotani, Tetsuya Hiyama
<span title="2021-01-06">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
and selection of the input features for ML training.  ...  A combination of random forest and conditional generative adversarial networks (pix2pix) machine learning (ML) methods were applied to data fusion between the Moderate Resolution Imaging Spectroradiometer  ...  We also thank Remote Sensing Group members in the Geological Survey of Japan (GSJ), National Institute of Advanced Industrial Science and Technology (AIST) for the discussion on satellite data processing  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs13020175">doi:10.3390/rs13020175</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hcrb7oehkvdf5jsjzc7ldyxd2u">fatcat:hcrb7oehkvdf5jsjzc7ldyxd2u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210114094334/https://res.mdpi.com/d_attachment/remotesensing/remotesensing-13-00175/article_deploy/remotesensing-13-00175-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/60/a9/60a9d1c172f3f5413cc801504945a034e3f000bc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs13020175"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Remote Sensing Based Modeling of Water and Heat Regimes in a Vast Agricultural Region [chapter]

A. Gelfan, E. Muzylev, A. Uspensky, Z. Startseva, P. Romanov
<span title="2012-06-13">2012</span> <i title="InTech"> Remote Sensing - Applications </i> &nbsp;
Water Problem Institute of RAS for technical assistance in modeling and data processing.  ...  Acknowledgment We thank E.Volkova, A.Kukharsky, S.Uspensky, V.Solovjev from SRC "Planeta" for their participation in the development of satellite data processing methods, as well as M.Alexadrovich from  ...  Snow cover mapping through synergy of optical and microwave products from EOS satellites A new technique used in this study is based on synergy of optical and microwave snow cover products available from  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/37076">doi:10.5772/37076</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6rgxibzjvrasboq5e35hkdfpdu">fatcat:6rgxibzjvrasboq5e35hkdfpdu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170924190625/https://cdn.intechopen.com/pdfs-wm/37534.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e3/ec/e3ec5ed675163c39f37f31b75cc05cb5a289820c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/37076"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Problems in remote sensing of landscapes and habitats

Kai Wang, Steven E. Franklin, Xulin Guo, Yuhong He, Gregory J. McDermid
<span title="2009-10-14">2009</span> <i title="SAGE Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jz3zeezwgvbx7j2j7uiofsq4e4" style="color: black;">Progress in physical geography</a> </i> &nbsp;
Remote sensing has long been identifi ed as a feasible and effective technology for large-area habitat mapping.  ...  This article attempts to identify the current challenges and opportunities in remote sensing for large-area wildlife habitat mapping, and accordingly provide possible solutions and directions for further  ...  Acknowledgements The authors would like to acknowledge the fi nancial support of the Foothills Research Institute Grizzly Bear Program (FRIGBP) and the Department of Geography and Planning of the University  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1177/0309133309350121">doi:10.1177/0309133309350121</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dvi27zarzbgo7f5xsevbcpnsee">fatcat:dvi27zarzbgo7f5xsevbcpnsee</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808005401/http://people.ucalgary.ca/~mcdermid/Docs/Articles/Wang_etal_2009.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/43/b7/43b704814c006d80946263c51601d9919351872f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1177/0309133309350121"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> sagepub.com </button> </a>

Progress and Challenges in Studying Regional Permafrost in the Tibetan Plateau Using Satellite Remote Sensing and Models

Huiru Jiang, Guanheng Zheng, Yonghong Yi, Deliang Chen, Wenjiang Zhang, Kun Yang, Charles E. Miller
<span title="2020-12-04">2020</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6lrazeiea5fp7mqpz4ogs5j7se" style="color: black;">Frontiers in Earth Science</a> </i> &nbsp;
Satellite-based optical and infrared remote sensing can provide information on land surface conditions at high spatial resolution, allowing for better representation of spatial heterogeneity in the Tibetan  ...  Integrating satellite remote sensing retrievals with process models will allow for more accurate representation of Tibetan Plateau permafrost conditions.  ...  The wavelength ranges from 0.4-0.7, 0.7-3.0, and 3.0-100 μm for optical, nearand thermal-infrared remote sensing, respectively; microwave remote sensing covers the spectrum from 1 mm to ∼1 m in wavelength  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/feart.2020.560403">doi:10.3389/feart.2020.560403</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/275jv52tpfbx3d7xt6vwwlkc7q">fatcat:275jv52tpfbx3d7xt6vwwlkc7q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201206030948/https://fjfsdata01prod.blob.core.windows.net/articles/files/560403/pubmed-zip/.versions/1/.package-entries/feart-08-560403.pdf?sv=2018-03-28&amp;sr=b&amp;sig=9XT%2FKEFExVaewSdM8OJC6hOxrIUZnIAUeEO6ibhWyS0%3D&amp;se=2020-12-06T03%3A10%3A17Z&amp;sp=r&amp;rscd=attachment%3B%20filename%2A%3DUTF-8%27%27feart-08-560403.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0e/94/0e94da22d36b503e44677dd372f5a997284283fb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/feart.2020.560403"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a>

Remote Sensing Approaches for Meteorological Disaster Monitoring: Recent Achievements and New Challenges

Peng Ye
<span title="2022-03-20">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vyslcn4ljzdq3jes5w7fln3qyu" style="color: black;">International Journal of Environmental Research and Public Health</a> </i> &nbsp;
On this basis, the meteorological disaster information is extracted by remote sensing data-processing approaches.  ...  Although many remote sensing approaches were successfully used for meteorological disaster monitoring, there are still gaps in process monitoring.  ...  Sensors for the remote sensing of snow include a visible-light band, near-infrared band, far infrared band, and microwave band.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/ijerph19063701">doi:10.3390/ijerph19063701</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35329388">pmid:35329388</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8951235/">pmcid:PMC8951235</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/76piu34cdngbvpv4fgnrdbzgia">fatcat:76piu34cdngbvpv4fgnrdbzgia</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220327092206/https://mdpi-res.com/d_attachment/ijerph/ijerph-19-03701/article_deploy/ijerph-19-03701.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b8/c7/b8c71333b7c2c149b1b3e94eb5dcc614f33105e6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/ijerph19063701"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8951235" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>
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