A review on assessment of camera sensors and data acquisitions using satellite imaging for remote sensing

2021 ◽  
Vol 6 (3) ◽  
pp. 209
Author(s):  
Shivansh Sinha ◽  
Abhishek Sharma ◽  
Sanjay Kumar Sharma ◽  
Parvin Kumar ◽  
Shraddha Tripathi ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Satellite Imaging ◽  
Camera Sensors

A review on assessment of camera sensors and data acquisitions using satellite imaging for remote sensing

2021 ◽  
Vol 6 (3) ◽  
pp. 1
Author(s):  
Shivansh Sinha ◽  
Saurabh Mishra ◽  
Shraddha Tripathi ◽  
Parvin Kumar ◽  
Sanjay Kumar Sharma ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Satellite Imaging ◽  
Camera Sensors

scholarly journals Modeling and Simulation of Mission Planning Problem for Remote Sensing Satellite Imaging

2018 ◽  
Vol 179 ◽  
pp. 03024 ◽  
Author(s):  
Yao Pan ◽  
Zhong Ming Chi ◽  
Qi Long Rao ◽  
Kai Peng Sun ◽  
Yi Nan Liu
Keyword(s):  
Remote Sensing ◽  
Time Window ◽  
Constraint Satisfaction Problem ◽  
Optimal Path ◽  
Time Constraint ◽  
Mission Planning ◽  
Planning Problem ◽  
Satellite Imaging ◽  
Problem Model ◽  
Remote Sensing Satellite

Mission planning problem for remote sensing satellite imaging is studied. Firstly, the time constraint satisfaction problem model is presented after analyzing the characteristic of time constraint. Then, An optimal path searching algorithm based on the discrete time window is proposed according to the non-uniqueness for satellite to mission in the visible time window. Simulation results verify the efficiency of the model and algorithm.

Remote Sensing in Oil Spill Handling in Offshore North West Java

2021 ◽  
Author(s):  
Audra Ligafinza ◽  
Farasdaq Muchibbus Sajjad ◽  
Mohammad Abdul Jabbar ◽  
Anggia Fatmawati ◽  
Alvin Derry Wirawan ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Real Time ◽  
Oil Spill ◽  
Environmental Damage ◽  
Satellite Imaging ◽  
North West ◽  
Novel Technologies ◽  
Oil Boom ◽  
Remediation Strategies ◽  
Restoration Strategies

Abstract During the blowout event, it is critical to track the oil spill to minimize environmental damage and optimize restoration cost. In this paper, we deliver our success story in handling oil spill from recent experiences. We utilize remote sensing technologies to establish our analysis and plan the remediation strategies. We also comprehensively discuss the techniques to analyze big data from the satellites, to utilize the downloaded data for forecasting, and to align the satellite information with restoration strategies. PHE relies on its principle to maintain minimum damage and ensures safety by dividing the steps into several aspects of monitoring, response (offshore and onshore), shoreline management and waste management. PHE utilizes latest development in survey by using satellite imaging, survey boat, chopper and UAV drone. Spill containment is done using several layers of oil boom to recover oil spill, complemented with skimmers and storage tanks. PHE encourages shoreline remediation using nets and manual recovery for capturing oil sludge. Using this combination of technologies, PHE is able to model and anticipate oil spill movement from the source up until the farthest shoreline. This enables real time monitoring and handling, therefore minimum environmental damage is ensured. PHE also employs prudent engineering design based on real time field condition in order to ensure the equipment are highly suited for the condition, as well as ensuring good supply chain of the material availability. This publication addresses the first offshore blowout mitigation and handling in Indonesia that uses novel technologies such as static oil boom, satellite imaging and integrated effort in handling shoreline damage. It is hoped that the experience can be replicated for other offshore operating contractors in Indonesia in designing blowout remediation.

scholarly journals The Perspective from Space Unlocks the Amazon Water Cycle

Eos ◽  
2021 ◽  
Vol 102 ◽  
Author(s):  
Aaron Sidder
Keyword(s):  
Remote Sensing ◽  
Water Cycle ◽  
Satellite Imaging

Satellite imaging and remote sensing offer unique insights into the Amazon’s complex hydrology. A new review summarizes decades of findings and charts a path forward for new remote sensing missions.

Report from field reconnaissance at Gebelein, Khozam and el-Rizeiqat

2016 ◽  
Vol XXIV (1) ◽  
pp. 265-274
Author(s):  
Wojciech Ejsmond ◽  
Julia M. Chyla ◽  
Cezary Baka
Keyword(s):  
Remote Sensing ◽  
Alluvial Plain ◽  
Desert Area ◽  
Satellite Imaging ◽  
Mobile Gis ◽  
Field Reconnaissance

A field reconnaissance in the region of Gebelein, Khozam and el-Rizeiqat in 2013 was aimed at obtaining information on site topography and state of preservation, even as it tested mobile GIS devices and remote sensing analysis to improve usage procedures in field prospection. Archival maps and satellite imaging were used to locate archaeological features, analyze changes of landscape and modern expansion of the cultivation zone from the natural alluvial plain into the low desert area.

scholarly journals Natural Resource Monitoring ofRheum tanguticumby Multilevel Remote Sensing

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Caixiang Xie ◽  
Jingyuan Song ◽  
Fengmei Suo ◽  
Xiwen Li ◽  
Ying Li ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Medicinal Plants ◽  
Remote Sensing Image ◽  
Vegetation Coverage ◽  
Resource Monitoring ◽  
Satellite Imaging ◽  
Ground Investigation ◽  
Natural Resource Monitoring ◽  
Low Altitude ◽  
Rheum Tanguticum

Remote sensing has been extensively applied in agriculture for its objectiveness and promptness. However, few applications are available for monitoring natural medicinal plants. In the paper, a multilevel monitoring system, which includes satellite and aerial remote sensing, as well as ground investigation, was initially proposed to monitor naturalRheum tanguticumresource in Baihe Pasture, Zoige County, Sichuan Province. The amount ofR. tanguticumfrom images isM=S*ρandSis vegetation coverage obtained by satellite imaging, whereasρisR. tanguticumdensity obtained by low-altitude imaging. Only theR. tanguticumwhich coverages exceeded 1 m2could be recognized from the remote sensing image because of the 0.1 m resolution of the remote sensing image (called effective resource at that moment), and the results of ground investigation represented the amounts ofR. tanguticumresource in all sizes (called the future resource). The data in paper showed that the present available amount ofR. tanguticumaccounted for 4% to 5% of the total quantity. The quantity information and the population structure ofR. tanguticumin the Baihe Pasture were initially confirmed by this system. It is feasible to monitor the quantitative distribution for natural medicinal plants with scattered distribution.

Influence of dynamic imbalance of SGCMG rotor on remote sensing satellite imaging

2012 ◽  
Vol 5 (4) ◽  
pp. 358-365
Author(s):  
杨秀彬 YANG Xiu-bin ◽  
常琳 CHANG Lin ◽  
金光 JIN Guang
Keyword(s):  
Remote Sensing ◽  
Satellite Imaging ◽  
Remote Sensing Satellite

Urban Recovery Process in Pisco After the 2007 Peru Earthquake

2013 ◽  
Vol 8 (2) ◽  
pp. 356-364 ◽  
Author(s):  
Osamu Murao ◽  
◽  
Tomoyo Hoshi ◽  
Miguel Estrada ◽  
Kazuya Sugiyasu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Quantitative Analysis ◽  
Physical Environment ◽  
Field Survey ◽  
Remote Sensing Data ◽  
Recovery Process ◽  
Satellite Imaging ◽  
Victim Satisfaction ◽  
Earthquake Research ◽  
Post Disaster

Post-disaster urban recovery is a significant matter in disaster management that represents government efforts after a disaster and victim satisfaction with these efforts in affected areas. Understanding the recovery process is a procedure necessary for evaluating government strategy. From this view, the authors dealt with the recovery process at Pisco, the area most devastated in the 2007 Peru Earthquake. Research was conducted through the following procedure: (1) a field survey including interviews was carried out in July 2012 to clarify post-earthquake conditions in urban Pisco, especially from the viewpoint of the physical environment, (2) recovery conditions were compared with damage conditions investigated by CISMID just after the event using satellite imaging and building recovery data obtained in the survey, and (3) post-earthquake recovery was quantitatively analyzed in terms of building recovery. Results indicated that 93.2% of seriously or severely damaged buildings had been reoccupied. In addition to quantitative analysis, recovery-related problems are discussed based on interviews. Results will be useful in the next stage of our research using remote sensing data for the chronological understanding of the post-earthquake urban recovery process in Pisco.

scholarly journals RPAS and GIS for landfill analysis

2018 ◽  
Vol 44 ◽  
pp. 00025
Author(s):  
Ignas Daugela ◽  
Jurate Sužiedelyte Visockiene ◽  
Vladislovas Česlovas Aksamitauskas
Keyword(s):  
Remote Sensing ◽  
Data Analysis ◽  
Environmental Contamination ◽  
Gis Modeling ◽  
Aerial Photos ◽  
Remotely Piloted Aircraft ◽  
Remotely Piloted Aircraft System ◽  
Aircraft System ◽  
Remote Sensing Methods ◽  
Camera Sensors

Using remote sensing methods to capture environmental contamination is very relevant not only to Lithuania, but also to the whole of Europe. The article examines the Remotely Piloted Aircraft System (RPAS) and its components, in particular aircraft (UAV) mounted camera sensors. From the type of sensor depends what can be identified in the photo. The article presents the geographic informational (GIS) modeling system CALMIM with which the experimental modeling of the landfill territory has been performed. UAV aerial photos captured, modeling described and data analysis carried out.

Sign in / Sign up

Export Citation Format

Share Document