A New Index for Steel Framed Roof Information Extraction Based on Remote Sensing

2013 ◽  
Vol 726-731 ◽  
pp. 4682-4685 ◽  
Author(s):  
Jie Ying Xiao ◽  
Na Ji ◽  
Xing Li
Keyword(s):  
Remote Sensing ◽  
Satellite Images ◽  
Spectral Characteristics ◽  
Threshold Method ◽  
Rapid Urbanization ◽  
Surface Information ◽  
Remote Sensing Technology ◽  
Economic Significance ◽  
Tm Image ◽  
Sensing Technology

There are a great number of index methods used to extract impervious surface from satellite images. However, these indices are not robust enough to detect steel framed roof due to the diversity of impervious materials. The extraction of steel framed roof information by remote sensing technology is becoming increasingly important because of its environmental and socio-economic significance. A new index, Normalized Difference Steel framed roof Index (NDSI) is proposed to extract steel framed roof surface information from TM images. The NDSI was created based on its spectral characteristics of TM image and the steel framed roof information can be extracted fast by NDSI threshold method. Additionally, Shijiazhuang city, which has experienced rapid urbanization, was chosen as the study area. And the classification results show that the new index NDSI can effectively extract steel framed roof information with higher accuracy.

scholarly journals Integration of Remote Sensing Technology Using Sentinel-2A Satellite images For Fertilization and Water Pollution Analysis in Estuaries Inlet of Semarang Eastern Flood Canal

2018 ◽  
Vol 31 ◽  
pp. 12008
Author(s):  
Sawitri Subiyanto ◽  
Zainab Ramadhanis ◽  
Aditya Hafidh Baktiar
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Chlorophyll A ◽  
Satellite Images ◽  
Spectral Characteristics ◽  
River System ◽  
Remote Sensing Technology ◽  
Accuracy Test ◽  
Sensing Technology ◽  
Sentinel 2A

One of the waters that has been contaminated by industrial waste and domestic waste is the waters in estuaries inlet of Semarang Eastern Flood Canal which is the estuary of the river system, which passes through the eastern city of Semarang which is dense with residential and industrial. So it is necessary to have information about the assessment of water quality in Estuaries Inlet of Semarang Eastern Flood Canal. Remote sensing technology can analyze the results of recording the spectral characteristics of water with water quality parameters. One of the parameters for assessing water quality is Chlorophyll-a and Total Suspended Solid, can be estimated through remote sensing technology using multispectral Sentinel-2A Satellite images. In this research there are 3 algorithms that will be used in determining the content of chlorophyll a, and for determining TSS. Image accuracy test is done to find out how far the image can give information about Chlorophyll-a and TSS in the waters. The results of the image accuracy test will be compared with the value of chlorophyll-a and TSS that have been tested through laboratory analysis. The result of this research is the distribution map of chlorophyll-a and TSS content in the waters.

scholarly journals EXTRACTING THE WATERLINE FROM LANDSAT IMAGES

2009 ◽  
Vol 12 (12) ◽  
pp. 52-58
Author(s):  
Thao Thi Phuong Pham ◽  
Duan Dinh Ho ◽  
To Van Dang
Keyword(s):  
Remote Sensing ◽  
Satellite Images ◽  
Numerical Models ◽  
Scientific Research ◽  
Remote Sensing And Gis ◽  
Landsat Images ◽  
Shoreline Changes ◽  
Remote Sensing Technology ◽  
Spectral Bands ◽  
Sensing Technology

Remote sensing technology nowadays is one of the most useful tools for scientific research in general and for oceanography in particular. From satellite images, the useful information such as waterline images can be extracte for a large region simultaneously. After tidal adjustments, the waterlines can be used as the observed shorelines which are important inputs for estimating shoreline changes by either using the integration of remote sensing and GIS or using numerical models. Based on the spectral bands of various Landsat images, the paper presents the methods to detect the waterlines in Phan Thiet region in the 40 years period using the images of 1973, 1976, 1990, and 2002 respectively. The extracted results relatively agree with the information of waterline from the images.

scholarly journals Oil Film Classification Using Deep Learning-Based Hyperspectral Remote Sensing Technology

2019 ◽  
Vol 8 (4) ◽  
pp. 181 ◽  
Author(s):  
Xueyuan Zhu ◽  
Ying Li ◽  
Qiang Zhang ◽  
Bingxin Liu
Keyword(s):  
Remote Sensing ◽  
Deep Learning ◽  
Film Thickness ◽  
Oil Spill ◽  
Spectral Characteristics ◽  
Hyperspectral Remote Sensing ◽  
Support Vector ◽  
Oil Film ◽  
Remote Sensing Technology ◽  
Sensing Technology

Marine oil spills seriously impact the marine environment and transportation. When oil spill accidents occur, oil spill distribution information, in particular, the relative thickness of the oil film, is vital for emergency decision-making and cleaning. Hyperspectral remote sensing technology is an effective means to extract oil spill information. In this study, the concept of deep learning is introduced to the classification of oil film thickness based on hyperspectral remote sensing technology. According to the spatial and spectral characteristics, the stacked autoencoder network model based on the support vector machine is improved, enhancing the algorithm’s classification accuracy in validating data sets. A method for classifying oil film thickness using the convolutional neural network is designed and implemented to solve the problem of space homogeneity and heterogeneity. Through numerous experiments and analyses, the potential of the two proposed deep learning methods for accurately classifying hyperspectral oil spill data is verified.

A Study of Lake Wetland Information Automatic Extraction Based on the Interpolation and Threshold Method

2012 ◽  
Vol 433-440 ◽  
pp. 6674-6677
Author(s):  
Zhi Hong An ◽  
Yong Jun Sun ◽  
De Zhi Chen ◽  
Yun Feng Qiu
Keyword(s):  
Remote Sensing ◽  
Yellow River ◽  
Source Region ◽  
Structural Features ◽  
Automatic Extraction ◽  
Threshold Method ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Human Material ◽  
Yellow River Source

Lake is one of the most type important wetland; remote sensing technology applied on wetland had become a research hotspot of wetlands. Automatic or semi-automatic extraction using computer wetland information extraction can improve the efficiency in the human, material, etc. From remote sensing images automatically extract wetland information is important for Wetland research and putting forward Utilization. In this paper, Yellow River source region for the test area, we use interpolation and threshold method automatically to extract lake information from ETM + images. Making use of both spectral and structural features of lake, this method acquired a good result.

scholarly journals Systematic Review of t he Study of Flood Risks u sing Remote Sensing

2021 ◽  
Vol 11 (2) ◽  
pp. 96-103
Author(s):  
Ing. Sócrates P. Muñoz Pérez ◽  
◽  
Kristell E. Bonilla Bances ◽  
Lesly J. Torres Zavaleta ◽  
Heber Ivan Mejía Cabrera ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Flood Risk ◽  
Satellite Images ◽  
Cost Effective ◽  
High Flow ◽  
Large Area ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Short Period ◽  
Record Data

Floods are one of the most devastating natural disasters that cause various losses by having an excess of rainfall in a short period of time, they cause a high flow in rivers, subsequently damaging crops and infrastructure. They also cause sedimentation of reservoirs and therefore limit the ability of existing dams to control floods. In other words, the purpose of assessing the risk of a flood is to identify the areas of a plan that are at risk of flooding based on the factors that are relevant to the risks of flooding. Therefore, it is important to create a flood map that is easy to read and quickly accessible. Maps provide a stronger and more direct impression of the spatial distribution of flood risk, like diagrams and verbal descriptions. On the other hand, the repeated taking of satellite images in periods of time of a few days makes it possible to know the evolution of the floods, helping the authorities to access the affected population, as well as to define safety areas. The current work aims to systematically evaluate the study of flood risk through remote sensing. A qualitative analysis was carried out through which 80 articles indexed between 2017 and 2021 were reviewed, distributed as follows: 49 articles are from Scopus, 10 from Ebsco and 21 from ScienceDirect; It is concluded that geographic information system together with remote sensing technology are the key tools for flood monitoring, as it is a very cost-effective way to reliably deliver the required data over a large area, as well as record data under extreme conditions to overcome the limitations of ground stations

Hyperspectral Remote Sensing Technology (HRST) program

1997 ◽  
Author(s):  
Tom Wilson ◽  
Rebecca Baugh ◽  
Ron Contillo ◽  
Tom Wilson ◽  
Rebecca Baugh ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Hyperspectral Remote Sensing ◽  
Remote Sensing Technology ◽  
Sensing Technology

Application of remote sensing technology to the relation of submarine pipelines and coastal morphology

1995 ◽  
Vol 32 (2) ◽  
pp. 77-83
Author(s):  
Y. Yüksel ◽  
D. Maktav ◽  
S. Kapdasli
Keyword(s):  
Remote Sensing ◽  
Sediment Transport ◽  
Surf Zone ◽  
Hydrodynamic Forces ◽  
Construction Site ◽  
Coastal Morphology ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Sea Bed

Submarine pipelines must be designed to resist wave and current induced hydrodynamic forces especially in and near the surf zone. They are buried as protection against forces in the surf zone, however this procedure is not always feasible particularly on a movable sea bed. For this reason the characteristics of the sediment transport on the construction site of beaches should be investigated. In this investigation, the application of the remote sensing method is introduced in order to determine and observe the coastal morphology, so that submarine pipelines may be protected against undesirable seabed movement.

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