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A Review of IRS-1C Applications in Urban and Regional Studies, and Infrastructure Planning

Pramod Kumar, K. Venugopala Rao, Sudha Ravindranath, Sandeep Maithani, Asfa Siddiqui, B. D. Bharath, S. V. L. Bhavani
2021 Journal of the Indian Society of Remote Sensing  
The multifaceted data from Indian remote sensing satellite (IRS)-1C with Panchromatic (PAN, 5.8 m, 0.50-0.75 lm), Linear Imaging Self-Scanning Sensor-III (LISS-III, 23.5 m, four multi-spectral bands) and  ...  It made possible to explore urban and regional areas either independently or in combination with other remote sensing data for base map preparation, land use survey and planning, growth modelling, environment  ...  (2002) merged Landsat-7 ETM MS and IRS-1C PAN ortho-rectified images using a digital terrain model ( Journal of the Indian Society of Remote Sensing (January 2021) 49(1):161-177  ... 
doi:10.1007/s12524-020-01283-5 fatcat:e7df2yks65fejegcexl5g5u7q4

Downscaling Land Surface Temperature Based on Non-Linear Geographically Weighted Regressive Model over Urban Areas

Shumin Wang, Youming Luo, Xia Li, Kaixiang Yang, Qiang Liu, Xiaobo Luo, Xiuhong Li
2021 Remote Sensing  
We selected Jinan city in north China and Wuhan city in south China from different seasons as study areas and used Landsat 8 images as reference data to verify the downscaling LST.  ...  Our study addressed this issue by proposing an LST downscaling algorithm based on a non-linear geographically weighted regressive (NL-GWR) model and selected the optimal combination of parameters to downscale  ...  Acknowledgments: The authors would like to thank the contributions of the anonymous reviewers and the Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences.  ... 
doi:10.3390/rs13081580 fatcat:th7ikcquoreppjv7s6uw3oa5vq

Sharpening Thermal Imageries: A Generalized Theoretical Framework From an Assimilation Perspective

Wenfeng Zhan, Yunhao Chen, Ji Zhou, Jing Li, Wenyu Liu
2011 IEEE Transactions on Geoscience and Remote Sensing  
Geological Survey and the China Centre for Resource Satellite Data and Applications (CRESDA) for providing the TM, IRS, MODIS, and ASTER data. The authors would also like to thank Dr. H.  ...  Tang for his thoughtful understanding and recommendations on kernel functions and kernel methods in pattern recognition, and the anonymous referees for their constructive comments and suggestions.  ...  Compared with those nonparametric models of machine learning, e.g., SVM and artificial neutral network (ANN), parametric models need parametric estimation and have an explicit physical background.  ... 
doi:10.1109/tgrs.2010.2060342 fatcat:7dxajlgyc5fj5pyhmn3vqtlgfa

Spatiotemporal Fusion of Multisource Remote Sensing Data: Literature Survey, Taxonomy, Principles, Applications, and Future Directions

2018 Remote Sensing  
As a result, integrated use of data from different sensors has become increasingly popular in the past decade.  ...  images, and sparse fine-resolution images.  ...  The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.  ... 
doi:10.3390/rs10040527 fatcat:lplwrowbfvhehb3qjjsaejjo4a

Estimation of evapotranspiration and its parameters for pine, switchgrass, and intercropping with remotely-sensed images based geospatial modeling

Sudhanshu Sekhar Panda, Devendra Man Amatya, Augustine Muwamba, George Chescheir
2019 Environmental Modelling & Software  
due to inconsistencies in Landsat image pixel size and landuse homogeneity.  ...  However, forest managers with access to neural network software can use our devised RBFN training models for estimating those forest hydrologic parameters with better accuracy.  ...  Artificial neural network modeling approach Artificial neural network (ANN) modeling techniques were adapted to enhance the remote estimation of ET in pine, switchgrass, pineswitchgrass intercropping,  ... 
doi:10.1016/j.envsoft.2019.07.012 fatcat:mh2vawko3zevfbzxpvmvcdb54a

2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57

2019 IEEE Transactions on Geoscience and Remote Sensing  
and Hanssen, R.F., Incorporating Temporary Coherent Li, X., Yeo, T.S., Yang, Y., Chi, C., Zuo, F., Hu, X., and Pi, Y., Refo-cusing and Zoom-In Polar Format Algorithm for Curvilinear Spotlight SAR Imaging  ...  Hu, C., Zhang, B., Dong, X., and Li, Y., Geosynchronous SAR Tomography: Theory and First Experimental Verification Using Beidou IGSO Satellite; TGRS Sept. 2019 6591-6607 Hu, F., Wu, J., Chang, L.,  ...  Xu, H., +, TGRS Jan. 2019 509-519 Daily River Discharge Estimates by Merging Satellite Optical Sensors and Radar Altimetry Through Artificial Neural Network.  ... 
doi:10.1109/tgrs.2020.2967201 fatcat:kpfxoidv5bgcfo36zfsnxe4aj4

Spatial Downscaling of Land Surface Temperature over Heterogeneous Regions Using Random Forest Regression Considering Spatial Features

Kai Tang, Hongchun Zhu, Ping Ni
2021 Remote Sensing  
Acquiring LST images with high spatial and temporal resolutions is currently difficult because of the technical restriction of satellite thermal infrared sensors.  ...  SRFD was applied to three different heterogeneous regions and compared with the results from three classical or excellent methods, including thermal image sharpening algorithm, multifactor geographically  ...  Acknowledgments: We thank the following institutions for their kind assistance with this research: National Aeronautics and Space Administration for providing the Landsat 8 and SRTM data and Tsinghua University  ... 
doi:10.3390/rs13183645 fatcat:hfa6hihkzbdmjjq467m5ndobse

Evaluating Multivariable Statistical Methods for Downscaling Nighttime Land Surface Temperature in Urban Areas

Pengcheng Qi, Yan Cui, Haijun Zhang, Shixiong Hu, Lunguang Yao, B. Larry Li
2020 IEEE Access  
In [30] , a genetic algorithm and self-organizing feature map artificial neural network (ANN) were utilized to model the relationships between LST and 4-9 land-surface parameters. Gao et al.  ...  Landsat 8 OLI Bands 2, 4, 5, 6, and 7 are bands that are similar to Landsat TM/ETM+ Bands 1, 3, 4, 5, and 7.  ... 
doi:10.1109/access.2020.3021034 fatcat:ldctqaabnzhtpfi23swt3rjpdq


Антон Андреевич Коросов, Артем Владимирович Моисеев, Дмитрий Викторович Поздняков, Anton Korosov, Artem Moiseev, Dmitry Pozdnyakov
2018 Transactions of the Karelian Research Centre of the Russian Academy of Sciences  
The developed algorithm employs the artificial intelligence tool: emulated/artificial neuron networks (Anns).  ...  The fusion was effected making use of multiband data from Sentinel-2 multispectral instrument (mSi) and moDiS-Aqua moderate Resolution imaging Spectroradiometer (moDiS) sensors. in this version moDiS-Aqua  ...  an artificial image identical to the image that the mS sensor would yield provided it had the spatial resolution of the panchromatic (such as Satellite Pour l'observation de la Terre (SPoT), Landsat 7  ... 
doi:10.17076/lim692 fatcat:nivqfmpdpve7bfhxe4dfa6qhnu

Seasonally-managed wetland footprint delineation using Landsat ETM+ satellite imagery

Nigel W.T. Quinn, Olga Epshtein
2014 Environmental Modelling & Software  
Based on this record, the proposed classification using a Landsat ETM+ Band 5 (mid-IR wavelength) to Band 2 (visible green wavelength) ratio improves estimates by 30-50% relative to previous attempts at  ...  In this study we present a data-lean solution to this problem using an example application in the San Joaquin River Basin of California, USA.  ...  Similarly, pixel classification using artificial neural networks is quite promising for deciphering the spatial and temporal dynamics of wetland ecosystems.  ... 
doi:10.1016/j.envsoft.2013.12.012 fatcat:sbsnebagu5hlffuuvebkcqqaca

Operational Performance of an Automatic Preliminary Spectral Rule-Based Decision-Tree Classifier of Spaceborne Very High Resolution Optical Images

Andrea Baraldi, Tom Wassenaar, Simon Kay
2010 IEEE Transactions on Geoscience and Remote Sensing  
In the last 20 years, the number of spaceborne very high resolution (VHR) optical imaging sensors and the use of satellite VHR optical images have continued to increase both in terms of quantity and quality  ...  Second, in the generation of a binary vegetation mask from ten panchromatic-sharpened QuickBird-2 and IKONOS-2 images, the operational performance measurement of ISRC is superior to that of an ordinary  ...  ACKNOWLEDGMENT The authors would like to thank the Editor-in-Chief, the Associate Editor, and anonymous reviewers for their patience  ... 
doi:10.1109/tgrs.2010.2046741 fatcat:vmohwianbbcqzdnwm3afuyt7eu

Automatic Spectral Rule-Based Preliminary Classification of Radiometrically Calibrated SPOT-4/-5/IRS, AVHRR/MSG, AATSR, IKONOS/QuickBird/OrbView/GeoEye, and DMC/SPOT-1/-2 Imagery—Part II: Classification Accuracy Assessment

A. Baraldi, L. Durieux, D. Simonetti, G. Conchedda, F. Holecz, P. Blonda
2010 IEEE Transactions on Geoscience and Remote Sensing  
Mapper (TM) and Landsat-7 Enhanced TM+ (ETM+) spaceborne images [eventually synthesized from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and the Moderate Resolution Imaging  ...  In Part I of this paper, an operational fully automated Landsat-like image spectral rule-based decision-tree classifier (LSRC), suitable for mapping radiometrically calibrated sevenband Landsat-4/-5 Thematic  ...  The authors praise their competence and willingness to help.  ... 
doi:10.1109/tgrs.2009.2032064 fatcat:irz35opemrb2li6zvgo2sbh5ra

Support vector machines in remote sensing: A review

Giorgos Mountrakis, Jungho Im, Caesar Ogole
2011 ISPRS journal of photogrammetry and remote sensing (Print)  
A wide range of methods for analysis of airborne-and satellite-derived imagery continues to be proposed and assessed.  ...  It is our hope that this survey will provide guidelines for future applications of SVMs and possible areas of algorithm enhancement.  ...  Acknowledgements Support was provided by the National Science Foundation (award GRS-0648393), by the National Aeronautics and Space Administration (awards NNX08AR11G, NNX09AK16G) and by the Syracuse Center  ... 
doi:10.1016/j.isprsjprs.2010.11.001 fatcat:6hx57jxaxvfxvjoqqmhk5puhty

Towards Global Volcano Monitoring Using Multisensor Sentinel Missions and Artificial Intelligence: The MOUNTS Monitoring System

Sébastien Valade, Andreas Ley, Francesco Massimetti, Olivier D'Hondt, Marco Laiolo, Diego Coppola, David Loibl, Olaf Hellwich, Thomas R. Walter
2019 Remote Sensing  
Results are visualized on an open-access website where both geocoded images and time series of relevant parameters are provided, allowing for a comprehensive understanding of the temporal evolution of  ...  Here we design and train a Convolutional Neural Network (CNN) on synthetically generated interferograms, to operationally detect strong deformation (e.g., related to dyke intrusions), in the real interferograms  ...  Earthquake catalogs are provided by GEOFON (GFZ Potsdam) and USGS, and interrogated using the Pyrocko Toolbox (, [103] ).  ... 
doi:10.3390/rs11131528 fatcat:47qwgwahwvdipmrdktvfsfmjzy

A Review on Extraction of Lakes from Remotely Sensed Optical Satellite Data with a Special Focus on Cryospheric Lakes

Shridhar D. Jawak, Kamana Kulkarni, Alvarinho J. Luis
2015 Advances in Remote Sensing  
Satellite sensors of varying spatial, temporal and spectral resolutions have been used to extract and analyze the information regarding surface water.  ...  It is apparent that the most common methods for extracting water bodies use single band-based threshold methods, spectral index ratio (SIR)-based multiband methods, image segmentation methods, spectral-matching  ...  Rajan, Director, NCAOR for his encouragement and motivation of this research. We also thank Ms. Prachi Vaidya, India for her constructive comments on the draft version of the manuscript.  ... 
doi:10.4236/ars.2015.43016 fatcat:vc6tamwdbre63g7x22ftwurqoq
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