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2020 IEEE Transactions on Geoscience and Remote Sensing  
Fusion Approach for Water Area Classification Using Visible, Near Infrared and Synthetic Aperture Radar for South Asian Conditions ........................................... S. K. Ahmad, F.  ...  Here, we proposed a voxel-based convolutional neural network (VCNN) for maize stem and leaf classification and segmentation. Lidar data of individual maize was voxelized and used as input of VCNN.  ... 
doi:10.1109/tgrs.2020.2973519 fatcat:pus5uerid5ggdhfoxc5lts3p6y

Classification and Mapping of Paddy Rice by Combining Landsat and SAR Time Series Data

Seonyoung Park, Jungho Im, Seohui Park, Cheolhee Yoo, Hyangsun Han, Jinyoung Rhee
2018 Remote Sensing  
Synthetic Aperture Radar (SAR) data have been used to complement the cloud problems of optical sensor images because SAR data are not influenced by weather conditions [20, 21] .  ...  analysis approaches with VI or RADAR data, and (4) phenology-based approaches.  ...  Aperture Radar (SAR))derived map.  ... 
doi:10.3390/rs10030447 fatcat:ghy4qqqvczbr3bpeezg5iobe2m

REMOTE SENSING TECHNOLOGIES IN POST-DISASTER DAMAGE ASSESSMENT

FUMIO YAMAZAKI, MASASHI MATSUOKA
2007 Journal of Earthquake and Tsunami  
Using high-resolution optical satellite images acquired before and after the 2006 Central Java earthquake, the areas of building damage were extracted based on pixel-based and object-based land cover classifications  ...  In the Central Java earthquake, ALOS/PALSAR captured a SAR image of the affected area one day after the event as well as pre-event times.  ...  Kouchi of Nippon Koei Co., Ltd. and Mr. K. Matsuomoto of Chiba University. Their contributions are deeply appreciated.  ... 
doi:10.1142/s1793431107000122 fatcat:gqbw6w5yvffivlyzft62xpdvlu

Fusion of Multisource Images for Update of Urban GIS [chapter]

D. Amarsaikhan, M. Saandar
2011 Image Fusion and Its Applications  
An integrated approach of optical and SAR images for forest change study, Asian Journal of Geoinformatics, 3, pp.27-33. Amarsaikhan, D., and Douglas, T. (2004).  ...  The integrated use of Optical and InSAR data for urban land cover mapping, International Journal of Remote Sensing, 28, pp.1161-1171.  ...  ) and near infrared (band 3) bands with a spatial resolution of 15m have been used.  ... 
doi:10.5772/16293 fatcat:md2ofkfdnrd6bbhqosdoh4pxou

Fusion of Moderate Resolution Earth Observations for Operational Crop Type Mapping

Nathan Torbick, Xiaodong Huang, Beth Ziniti, David Johnson, Jeff Masek, Michele Reba
2018 Remote Sensing  
The growth in the availability of time dense moderate resolution data streams and different sensitivities of optical and radar data provide a mechanism for within season crop mapping and area estimates  ...  New opportunities exist from the operational fusion of Landsat-8 Operational Land Imager (OLI), Sentinel-2 (A & B), and Sentinel-1 (A & B) which provide more frequent open access observations now that  ...  Acknowledgments: Thanks to Ian Cooke, Bobby Braswell, and Lindsey Melendy for assistance in data development, the HLS team at NASA Goddard Space Flight Center, ESA for Sentinel-1, the EOFSAC initiative  ... 
doi:10.3390/rs10071058 fatcat:wjq4i3jnjjhflolbidl77nwemy

Use of Sentinel-1 GRD SAR Images to Delineate Flood Extent in Pakistan

Meimei Zhang, Fang Chen, Dong Liang, Bangsen Tian, Aqiang Yang
2020 Sustainability  
Sentinel-1 Synthetic Aperture Radar (SAR) data.  ...  The widely used change detection methods utilize multi-temporal Synthetic Aperture Radar (SAR) images for the detection of flood area, but the results are largely influenced by the quality of defined reference  ...  Example showing preprocessed Sentinel-1 Synthetic Aperture Radar (SAR) images taken (a) before the flood and (b) after the flood. The dark portions of the image represent flat water surfaces.  ... 
doi:10.3390/su12145784 fatcat:vjaqkvn6hjcyndfpquq6cbawu4

Review of the use of remote sensing for biomass estimation to support renewable energy generation

Lalit Kumar, Priyakant Sinha, Subhashni Taylor, Abdullah F. Alqurashi
2015 Journal of Applied Remote Sensing  
The estimation of biomass is a challenging task, especially in areas with complex stands and varying environmental conditions, and requires accurate and consistent measurement methods.  ...  This paper provides a comprehensive review of biomass assessment techniques using remote sensing in different environments and using different sensing techniques.  ...  visible (VIS) and near-infrared (NIR) bands. 39 Hyperspectral remote sensing is an another important source of optical satellite data for biomass estimation.  ... 
doi:10.1117/1.jrs.9.097696 fatcat:vb6fitx52rbyxprbf2c6c7nu3i

An overview of MATISSE-v2.0

Luc Labarre, Karine Caillault, Sandrine Fauqueux, Claire Malherbe, Antoine Roblin, Bernard Rosier, Pierre Simoneau, Karin Stein, John D. Gonglewski
2010 Optics in Atmospheric Propagation and Adaptive Systems XIII  
The symposium, like our other conferences and activities, would not be possible without the dedicated contribution of our participants and members.  ...  SPIE would like to express its deepest appreciation to the symposium chairs, conference chairs, Programme committees, and session chairs who have so generously given of their time and advice to make this  ...  SLN were prepared with cetyl palmitate and glyceryl stearate as solid lipids and for NLC, a mixture of the same solid lipids and grape seed oil has been used.  ... 
doi:10.1117/12.868183 fatcat:5anlqspzzzcftfufaxvlr45zve

Comparison of Multi-Resolution Optical Landsat-8, Sentinel-2 and Radar Sentinel-1 Data for Automatic Lineament Extraction: A Case Study of Alichur Area, SE Pamir

Aminov Javhar, Xi Chen, Anming Bao, Aminov Jamshed, Mamadjanov Yunus, Aminov Jovid, Tuerhanjiang Latipa
2019 Remote Sensing  
The framework of automatic approach includes defining the optimal parameters for automatic lineament extraction with a combination of edge detection and line-linking algorithms and determining suitable  ...  The tests indicate that the radar data used in this study, with 5872 and 5865 lineaments extracted from VH and VV polarizations respectively, is more efficient for structural lineament mapping than the  ...  The visible and near-infrared (VNIR) and short-wave infrared (SWIR) (Bands 1-7) channels of the L8 data with a spatial resolution of 30 m were utilized.  ... 
doi:10.3390/rs11070778 fatcat:xgja2dmodzhjvov3qzyfbvd52u

Improving Local Climate Zone Classification Using Incomplete Building Data and Sentinel 2 Images Based on Convolutional Neural Networks

Cheolhee Yoo, Yeonsu Lee, Dongjin Cho, Jungho Im, Daehyeon Han
2020 Remote Sensing  
We designed three schemes (S1, S2, and a scheme fusion; SF) for mapping 50 m LCZs in two megacities: Berlin and Seoul.  ...  S1 used only RS images, and S2 used RS and building components such as area and height (or the number of stories).  ...  The study areas are Berlin and Seoul (Figure 2 ), the capital cities of Germany and South Korea, respectively.  ... 
doi:10.3390/rs12213552 fatcat:vknp274llra75cesra2osjahk4

Comparison of Classification Techniques on Fused Optical and SAR Images for Shoreline Extraction: A Case Study at Northeast Coast of Peninsular Malaysia

Syaifulnizam Abd Manaf, Norwati Mustapha, Md Nasir Sulaiman, Nor Azura Husin, Mohd Radzi Abdul Hamid
2016 Journal of Computer Science  
However, in order to identify land-water boundary for a large region using traditional ground survey technique is very time consuming.  ...  Shoreline is a very important element to identify exact boundary at the coastal areas of a country.  ...  Also not to forget to the Universiti Putra Malaysia for giving us logistic to complete this research.  ... 
doi:10.3844/jcssp.2016.399.411 fatcat:t4ywetb2x5efxg64cuyu5j5snq

Flood Detection Using Multiple Chinese Satellite Datasets during 2020 China Summer Floods

Lianchong Zhang, Junshi Xia
2021 Remote Sensing  
Considering the complexity of land cover changes within the flooded areas and the different characteristics of the multi-source remote sensing dataset, we proposed a new coarse-to-fine framework for detecting  ...  floods at a large scale.  ...  These satellites can provide optical and synthetic aperture radar (SAR) images.  ... 
doi:10.3390/rs14010051 fatcat:2jzlgxdpo5cj7b3cw54rkypb2e

Geospatial Approaches to Monitoring the Spread of Invasive Species of Solidago spp

Štefan Koco, Anna Dubravská, Jozef Vilček, Daniela Gruľová
2021 Remote Sensing  
of Solidago spp. and cannot replace the advantages of high spectral resolution hyperspectral imaging, which significantly refines the feature space for Solidago spp. and the surrounding vegetation.  ...  We can also say that due to the spectral proximity of the surrounding vegetation, the spectral resolution in four spectral bands is insufficient for the classification of multispectral records in the case  ...  Subsequently, combining data from different types of sensors, such as optical and synthetic-aperture radar (SAR), improves classification accuracy [50] .  ... 
doi:10.3390/rs13234787 fatcat:q6npilxgvjetjepu3sj6cm3u3i

Remote Sensing of Snow Cover Using Spaceborne SAR: A Review

Ya-Lun S. Tsai, Andreas Dietz, Natascha Oppelt, Claudia Kuenzer
2019 Remote Sensing  
However, as optical imagery is limited by cloud cover and polar darkness, synthetic aperture radar (SAR) attracted more attention for its ability to sense day-and-night under any cloud and weather condition  ...  and polarimetric SAR (PolSAR) have been developed since the launch of ERS-1 in 1991 to monitor snow cover under both dry and wet snow conditions.  ...  Figure 10 . 10 External/Ground truth data used for validating SAR-based snow cover products. * Advanced visible and near infrared radiometer type 2 (AVNIR-2) sensor onboard on Advanced land observation  ... 
doi:10.3390/rs11121456 fatcat:yo5qexaq45fcnj2o6ujh4aezje

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.  ...  conditions (e.g., frozen, inundated).  ...  data but also Synthetic Aperture Radar (SAR) acquired across the range of frequencies (namely X-, C-, L-and P-band).  ... 
doi:10.1007/s40725-015-0021-9 fatcat:w6le4hl3incjdo3ahvbeyoxv3a
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