scholarly journals Integrating high resolution remote sensing technology into an advanced water resources knowledge management system

2015 ◽  
Vol 366 ◽  
pp. 164-165
Author(s):  
R. A. Bradshaw ◽  
A. James ◽  
Y. Hee Kho ◽  
D. Kaskina ◽  
S. Mashtayeva ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Knowledge Management ◽  
High Resolution ◽  
Water Resources ◽  
Management System ◽  
Knowledge Management System ◽  
Remote Sensing Technology ◽  
Sensing Technology

scholarly journals Mangrove Distribution in Riau Islands Using Remote Sensing Technology

2017 ◽  
Vol 1 (2) ◽  
pp. 58-62 ◽  
Author(s):  
Sudra Irawan ◽  
Dwi Ely Kurniawan ◽  
Wenang Anurogo ◽  
Muhammad Zainuddin Lubis
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Image Data ◽  
Research Data ◽  
Resolution Image ◽  
Mangrove Area ◽  
High Resolution Image ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Data Application

Mangrove mapping is done with remote sensing technology using high-resolution image data. Application and information are then presented in web form. This study aims to map the mangrove distribution in Riau Islands, Indonesia. Based on the analysis, from the research data obtained the total area of mangrove in Riau Islands in 2011 and 2017 amounted to 71,504.83 Ha and 64,218.90 Ha, decreased by 7,285, 93 Ha or decreased by 10.19%. Based on the regency, the largest mangrove area in 2017 is located in Batam City of 22,964.77 Ha, then Karimun Regency (13,659,58 Ha), Lingga Regency (11,881.61 Ha), Regency of Bintan (9,701.49) Ha, Natuna Regency (2,477.16 Ha), Tanjungpinang City (1,847.65 Ha), and Anambas Regency (1,686.61 Ha). The magnitude of the widespread change (widespread reduction) occurring over the years between 2011 and 2017 by district, Natuna Regency experienced the largest reduction of 1,949.69 Ha or around 41.39%, followed by Lingga Regency of 1,947.15 Ha (14.08%), Tanjungpinang Municipality of 284.13 Ha (13.33%), Karimun Regency 1,920.93 Ha (12.33%), Anambas Regency of 195.90 Ha (10.40%), Batam City 1,094.83 Ha (4.55%) and Bintan Regency with 93.29 Ha (0, 95%). Opportunities that the pixels classified on the mangrove image are truly mangrove on the facts in the field.

scholarly journals Optimal Allocation Algorithm of Geological and Ecological High-resolution Remote Sensing Monitoring Sampling Points

2020 ◽  
Vol 24 (1) ◽  
pp. 105-110
Author(s):  
Taifu Bi
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Search Algorithm ◽  
Support Vector ◽  
Allocation Algorithm ◽  
Remote Sensing Monitoring ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Sampling Points ◽  
Selective Search

Abstract: The purpose of this study is to solve the problem of unsatisfactory image representation of monitoring sampling points in high-resolution remote sensing due to the complexity of geological ecology. Firstly, three algorithms used in remote sensing technology were introduced, that is, extraction algorithm of monitoring sampling point (selective search algorithm), discriminant algorithm (support vector machine) and BING algorithm. Then, the BING algorithm was improved. Finally, the superiority of the improved BING algorithm was verified through experimental data set. The results showed that selective search algorithm could generate more candidate windows in remote sensing image and had better adaptability. The improved algorithm had higher quality of candidate windows extracted from remote sensing images. Although the IBING algorithm could greatly improve the extraction speed of remote sensing, the detection time of each image became larger. Such testing times were still acceptable. Therefore, in this research, the allocation algorithm of geological and ecological high-resolution remote sensing monitoring sampling points was optimized, which had a good guiding significance for the application of remote sensing technology in geological and ecological research.

scholarly journals Pemetaan kualitas permukiman dengan menggunakan penginderaan jauh dan SIG di kecamatan Batam kota, Batam

2017 ◽  
Vol 31 (1) ◽  
pp. 39 ◽  
Author(s):  
M. Farizki ◽  
Wenang Anurogo
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Well Being ◽  
Google Earth ◽  
Remote Sensing Technology ◽  
Analysis Process ◽  
Sensing Technology ◽  
High Resolution Images

Permukiman adalah bagian dari lingkungan hidup yang berfungsi sebagai lingkungan tempat tinggal. Kondisi dari suatu permukiman sangat mempengaruhi kelangsungan kehidupan dan kesejahteraan makhluk hidup di permukiman tersebut. Untuk mengetahui kualitas permukiman di Kecamatan Batam Kota dibutuhkan parameter-parameter penentu yang di interpretasi dari citra resolusi tinggi (Google Earth). Untuk membantu proses analisis dengan memanfaatkan teknologi penginderaan jauh dan untuk pemetaan menggunakan software SIG. Metode yang digunakan adalah metode pengharkatan (scoring), tumpang susun (overlay). Hasil dari overlay tersebut adalah peta kualitas permukiman di kecamatan Batam Kota, Kota Batam. Dari penelitian ini dapat diketahui bahwa permukiman di Kecamatan Batam Kota dengan kualitas baik dengan luas 476.88 Ha, kualitas sedang dengan luas 650 Ha, dan kualitas buruk dengan luas 48.89 Ha. Dari hasil tersebut permukiman di Kecamatan Batam Kota didominasi oleh permukiman dengan kualitas sedang. The neighborhood is part of the environment that serves as a neighborhood residence. The condition of a settlement extremely affects to the continuity of life and the well-being of living creatures in the neighborhood. To find out the quality of the neighborhoods in districts of Batam City required parameters in determining the interpretation of high-resolution images (Google Earth). To help the analysis process by making use of remote sensing technology for the mapping, and using software SIG. The Method is using score (scoring), and stack bundles (overlay). The result of the overlay mapped quality neighborhoods in districts of Batam city, Batam city. From this research it can be known that settlements in Batam City with good quality with extensive 476.88 Ha, better quality with an area of 650 Hectares, and bad quality with extensive 48.89 Ha. The results of the neighborhoods in districts of Batam City are dominated by the neighborhoods with better quality.

scholarly journals EXTRACTION AND ANALYSIS OF TRADITIONAL CHINESE MEDICINE CROPS BASED ON MULTITEMPORAL HIGH RESOLUTION DATA-TAKING QIAOCHENG DISTRICT OF BOZHOU AS AN EXAMPLE

2018 ◽  
Vol XLII-3 ◽  
pp. 2153-2160
Author(s):  
H. Yu ◽  
J. He ◽  
H. Zhou ◽  
F. Guan ◽  
L. Li ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Chinese Medicine ◽  
High Resolution ◽  
Traditional Chinese Medicine ◽  
High Resolution Data ◽  
Important Method ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Crop Planting ◽  
Resolution Data

Remote sensing technology has become an important method to rapidly acquireing of planting layout and composition of regional crops.It is very important to accurately master the planting area of Chinese medicine crops in the Characteristic planting area because it relations to accurately master the cultivation of Chinese medicine crops, formulate related policies and adjustment of crop planting structure.The author puts forward a method of using remote sencing technology for momitoring Chinese medicine which has good applicability and generalization. This paper took Qiaocheng District of Bozhou as an example to Verify the feasibility of the method, providing a reference for solving the problem of interpretation and extraction of Chinese medicinal materials in the region.

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.

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