scholarly journals STUDY OF DUST POLLUTION DETECTING ABILITY IN URBAN AREAS BY REMOTE SENSING TECHNOLOGY TO SUPPORT AIR ENVIRONMENT OBSERVATION

2012 ◽  
Vol 15 (4) ◽  
pp. 33-47
Author(s):  
Van Thi Tran ◽  
Binh Thi Trinh ◽  
Bao Duong Xuan Ha
Keyword(s):  
Remote Sensing ◽  
Satellite Imagery ◽  
Urban Areas ◽  
Satellite Image ◽  
Regression Function ◽  
Statistical Correlation ◽  
Step Test ◽  
Residential Areas ◽  
Remote Sensing Technology ◽  
Sensing Technology

This paper presents the approach towards application of remote sensing technology to monitor the air environemnt. Specific inital research is findings PM10 dust from SPOT 5 satellite image. The calculation based on reflectance value on remote sensing satellite images. The main method is to calculate statistical correlation regression between the PM10 concentration from ground station observations and reflectance value on each image band and the main components of satellite imagery in 2003 to find the best regression function, applied then to images 2011 where its radiance value was relatively normalized under atmospheric, geometric, environmental conditions of image 2003. The results showed the best correlation in nonlinear regression case. Spatial distribution of PM10 concentrations > 200μg/m3 found on most main roads, industrial parks and residential areas. This study is a first step test, but the results have demonstrated that satellite imagery can be used as a useful, effective tool, to monitor air environment in cities.

scholarly journals Research on Coal Exploration Technology Based on Satellite Remote Sensing

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Dong Xiao ◽  
Ba Tuan Le ◽  
Yachun Mao ◽  
Jinhong Jiang ◽  
Liang Song ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Satellite Imagery ◽  
Geological Structure ◽  
Classification Model ◽  
Remote Sensing Technology ◽  
Advanced Technologies ◽  
Sensing Technology ◽  
Resource Exploration ◽  
Low Efficiency ◽  
Quang Ninh

Coal is the main source of energy. In China and Vietnam, coal resources are very rich, but the exploration level is relatively low. This is mainly caused by the complicated geological structure, the low efficiency, the related damage, and other bad situations. To this end, we need to make use of some advanced technologies to guarantee the resource exploration is implemented smoothly and orderly. Numerous studies show that remote sensing technology is an effective way in coal exploration and measurement. In this paper, we try to measure the distribution and reserves of open-air coal area through satellite imagery. The satellite picture of open-air coal mining region in Quang Ninh Province of Vietnam was collected as the experimental data. Firstly, the ENVI software is used to eliminate satellite imagery spectral interference. Then, the image classification model is established by the improved ELM algorithm. Finally, the effectiveness of the improved ELM algorithm is verified by using MATLAB simulations. The results show that the accuracies of the testing set reach 96.5%. And it reaches 83% of the image discernment precision compared with the same image from Google.

Time Series Analysis of Land Cover Using Remote Sensing Technology

2020 ◽  
Vol 17 (2) ◽  
pp. 902-910
Author(s):  
Ahmad Taufiq Hosni ◽  
Suharto Teriman ◽  
Nor Aizam Adnan ◽  
Muhamad Asri Abdullah Kamar
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Urban Areas ◽  
Management Plan ◽  
Urban Environments ◽  
Lulc Changes ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Development Area ◽  
Landsat Satellite

The observation of land use/land cover (LULC) is essential as it allows humans to investigate the alteration of land which occurs over a period of time. This is to allow mankind to have a proper management of the earth resources and well planned development. One way to observe LULC is by using remote sensing technology since it provides continuous data monitoring of the earth’s surface. This study is carried out at Bandar Meru Raya, Ipoh, Perak and aimed to quantify the LULC changes, especially in urban areas which occurred within two decades from 1995 to 2005 and from 2005 to 2015. Maximum likelihood supervised classification was performed on three Landsat satellite imageries using ERDAS Imagine 2014 software. The images were classified into 4 general LULC categories namely forest, development area, green area, and water bodies. The results indicated that a considerable amount of forested area was decreasing by 183.12 hectares within the last 20 years while development area gained a total of 157.12 hectares. This LULC changes showed a serious loss of trees and this sort of change tends to affect the nature’s ecosystem. Therefore, by quantifying the loss of forest area will enable authorities to oversee and plan a better management of trees for future in urban environments. Such management plan is necessary in order to maintain the importance of trees towards nature and community.

scholarly journals Prakiraan Daerah Penangkapan Ikan Di Selat Bali Berdasarkan Data Citra Satelit [Fishly Ground Area Estimation In The Bali Strait Satellite Image Database Based]

2019 ◽  
Vol 4 (1) ◽  
pp. 87
Author(s):  
Iqbal Ghazali, Abdul Manan
Keyword(s):  
Remote Sensing ◽  
Marine Ecosystem ◽  
Satellite Image ◽  
Sea Surface ◽  
Fishing Ground ◽  
Fishing Activity ◽  
Area Estimation ◽  
Remote Sensing Technology ◽  
Sensing Technology

Abstract Indonesia has a lot of potential marine ecosystem and fisheries, this condition make some many Indonesian get a occupation to be fisherman. However, that is make a problem during his fishing activity, so we have to make some sophisticated technology to support that is activity. At the time, remote sensing technology is the answer for they problem, it is because of that is technology fisherman can be improvement they catcher with more efficient. Determination of fishly ground area by remote sensing technology has some stage before arranging layout Fishly Ground Area Estimation (FGAE) map. Procedure to arranging are respectively data searching, data processing, and data analysis, and the last stage is composing of layout of FGAE map. The main purpose of this study is to know about catching area at Bali straits based on image satellite with creating layout of FGAE map. This study doing descriptive method. At the PDPI making process, the chlorophyl-a data and sea surface temperature getting important parameter, which temperature is the main to parameter to understand of front area and upwelling which is have a lot of nutrient composition. In the other hand, chlorophyl-a is also parameter to know of prosperity area. The data of current, wind speed, wave, and sea surface level are important component as supporting data that will be help to fisherman on determination of fishing ground area at helping fisherman in catching activity.

scholarly journals The Utilization of ALOS PALSAR Image to Estimate Natural Forest Biomass: Case Study at Bogani Nani Wartabone National Park

Jurnal Wasian ◽  
2014 ◽  
Vol 1 (1) ◽  
pp. 15
Author(s):  
Nurlita Indah Wahyuni
Keyword(s):  
Remote Sensing ◽  
National Park ◽  
Satellite Image ◽  
Forest Biomass ◽  
Research Area ◽  
Natural Forest ◽  
Alos Palsar ◽  
Remote Sensing Technology ◽  
Sensing Technology

The development of remote sensing technology makes it possible to utilize its data in many sectors including forestry. Remote sensing image has been used to map land cover and monitor deforestation. This paper presents utilization of ALOS PALSAR image to estimate and map aboveground biomass at natural forest of Bogani Nani Wartabone National Park especially SPTN II Doloduo and SPTN III Maelang. We used modeling method between biomass value from direct measurement and digital number of satellite image. There are two maps which present the distribution of biomass and carbon from ALOS PALSAR image with 50 m spatial resolution. These maps were built based on backscatter polarization of HH and HV bands. The maps indicate most research area dominated with biomass stock 0-5.000 ton/ha.

scholarly journals THE TYPHOON DISASTER ANALYSIS EMERGENCY RESPONSE SYSTEM BASED ON UAV REMOTE SENSING TECHNOLOGY

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 959-965
Author(s):  
Q. J. Chen ◽  
Y. R. He ◽  
T. T. He ◽  
W. J. Fu
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Visual Analysis ◽  
Satellite Image ◽  
Image Data ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Disaster Information ◽  
Satellite Image Data ◽  
Typhoon Disaster

Abstract. The satellite image data has some shortcomings such as poor timeless, incomplete disaster information and so on in the typhoon disaster analysis. Compared with the satellite image data, unmanned aerial vehicle (UAV) remote sensing technology has the characteristics of flexibility, convenience, high resolution and so on. It plays a great role in the aspect of obtaining the images and systematically analyze the disaster data. This research based on UAV technology to obtain the high resolution image data and complied the disaster thematic maps after interpretation, as well as determining the data model. Subsequently, determining the system used Html, Javascript and CSS to build the system framework. Combining with Postgre SQL database, Leaflet map module and Echarts diagram and other technologies to perform the feasibility analysis and the detailed design of the integrated system. Finally, it could accurately and comprehensively obtain the system’s disaster monitoring, the typhoon track display, the diagram statistics and visual analysis of the data processing, as well it could deeply analysis and management for the disaster information and assessment. The application shows that this system could provide the information support for future emergency rescue, which is of great significance for the monitoring and preventing the occurrence natural disasters in the future.

The Research of Ortho-Rectification to QuickBird Image with more Mountains Based on ERDAS10.0

2014 ◽  
Vol 571-572 ◽  
pp. 772-776 ◽  
Author(s):  
Cong Li ◽  
Qiang Wang ◽  
Meng Wang ◽  
Jia Jie Cui
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Orthogonal Projection ◽  
Satellite Image ◽  
Remote Sensing Image ◽  
Remote Sensing Images ◽  
Positioning Accuracy ◽  
Remote Sensing Technology ◽  
Sensor Model ◽  
Sensing Technology

In recent years, the application of high resolution remote sensing images has become more and more widely with the development of Remote Sensing technology. QuickBird satellite image is the more commercial used high resolution remote sensing image, but due to its technical confidentiality, high-resolution satellite generally does not provide rigorous sensor model. This paper uses ERDAS10.0 to orthographic check the QuickBird image by the method of orthorectification, introduces the method and procedure of the orthogonal projection like drawing, analysis the positioning accuracy.

scholarly journals TINGKAT KERAWANAN KEBAKARAN HUTAN DAN LAHAN MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS (SIG) DI KOTA AMBON (STUDI KASUS DI JAZIRAH LEITIMUR SELATAN)

2021 ◽  
Vol 5 (1) ◽  
pp. 1-13
Author(s):  
Aldi Herdian ◽  
Aryanto Boreel ◽  
Ronny Loppies
Keyword(s):  
Remote Sensing ◽  
Geographic Information Systems ◽  
Satellite Imagery ◽  
Landsat 8 ◽  
Limited Data ◽  
Landsat 8 Oli ◽  
Digital Map ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Level 1

Limited data and the lack of use of Remote Sensing Technology and Geographic Information Systems (GIS) to map areas that are potentially prone to forest and land fires in Ambon City are one of the obstacles in handling forest and land fires. This study aims to identify the factors that cause forest and land fires, determine the level of vulnerability to forest and land fires and produce a digital map of forest and land fires in Jazirah Leitimur Selatan, Ambon City. The data used are Landsat 8 OLI/TIRS C1 Level-1 path/row 109/62 satellite imagery acquired on October 28, 2017. Hotspot data was obtained from FIRMS and Lapan Fire Hotspot. Data processing is done by using the method of overlaying variables that trigger the occurrence of forest and land fires. The results showed that the Jazirah Leitimur Selatan has the potential to be prone to forest and land fires with 76.6% of the area included in the vulnerable to very vulnerable category, while 23.4% is in the non-prone category.

scholarly journals APPLICATION OF VAN HENGEL AND SPITZER ALGORITHM FOR INFORMATION ON BATHYMETRY EXTRACTION USING LANDSAT DATA

2017 ◽  
Vol 11 (1) ◽  
pp. 73
Author(s):  
Kuncoro Teguh Setiawan ◽  
Syifa Wismayati Adawiah ◽  
Takahiro OSAWA ◽  
I. Wayan Nuarsa
Keyword(s):  
Remote Sensing ◽  
Satellite Imagery ◽  
Depth Interval ◽  
Landsat Data ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Medium Resolution ◽  
Algorithm Transformation ◽  
Landsat Tm Imagery ◽  
Extract Information

Remote sensing technology provides an opportunity for effective and efficient bathymetry mapping, especially in areas which level of depth changes quickly. Bathymetry information is very useful for hydrographic and shipping safety. Landsat medium resolution satellite imagery can be used for the extraction of bathymetry information. This study aims to extract information from the Landsat bathymetry by using Van Hengel and Spitzer rotation algorithm transformation (1991) in the water of Menjangan Island, Bali. This study shows that Van Hengel and Spitzer rotation algorithm transformation (1991) can be used to extract information on the bathymetry of Menjangan Island. Extraction of bathymetric information generated from Landsat TM imagery data in March 19, 1997 had shown the depth interval of (-0.6) m to (-12.3) m and R2 value of 0.671. While Data LANDSAT ETM + dated June 23, 2000 resulted in depth interval of 0 m to (-19.1) m and R2 value of 0.796. Furthermore, data LANDSAT ETM + dated March 12, 2003 resulted in depth interval of 0 m to (-22.5) m and R2 value of 0.931.

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
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