scholarly journals Use of GIS and Remote Sensing Technology as a Decision Support Tool in Flood Disaster Management: The Case of Southeast Louisiana, USA

2020 ◽  
Vol 12 (02) ◽  
pp. 141-157
Author(s):  
Yaw A. Twumasi ◽  
Edmund C. Merem ◽  
John B. Namwamba ◽  
Ronald Okwemba ◽  
Tomas Ayala-Silva ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Decision Support ◽  
Disaster Management ◽  
Decision Support Tool ◽  
Flood Disaster ◽  
Gis And Remote Sensing ◽  
Support Tool ◽  
Remote Sensing Technology ◽  
Sensing Technology

scholarly journals Assessment of Land Use and Vegetative Cover in Kano Metropolis (from 1975-2015) Employing GIS and Remote Sensing Technology

2020 ◽  
Vol 27 (2) ◽  
pp. 1-7
Author(s):  
M. Haruna ◽  
M.K. Ibrahim ◽  
U.M. Shaibu
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Agricultural Land ◽  
Landsat 8 ◽  
Vegetative Cover ◽  
Gis And Remote Sensing ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Agricultural Planning ◽  
Bare Land

This study applied GIS and remote sensing technology to assess agricultural land use and vegetative cover in Kano Metropolis. It specifically examined the intensity of land use for agricultural and non agricultural purpose from 1975 – 2015. Images (1975, 1995 and 2015), landsat MSS/TM, landsat 8, scene of path 188 and 052 were downloaded for the study. Bonds for these imported scenes were processed using ENVI 5.0 version. The result indicated five classified features-settlement, farmland, water body, vegetation and bare land. The finding revealed an increase in settlement, vegetation and bare land between 1995 and 2015, however, farmland decreased in 2015. Indicatively, higher percentage of land use for non agricultural purposes was observed in recent time. Conclusively, there is need to accord surveying the rightful place and priority in agricultural planning and development if Nigeria is to be self food sufficient. Keywords: Geographic Information System, Agriculture, Remote sensing, Land use, Land cover

Remote Sensing Technology in Flood Monitoring and Assessment Application

2013 ◽  
Vol 411-414 ◽  
pp. 1495-1500
Author(s):  
Xiao Tao Li ◽  
Shi Feng Huang ◽  
Gai Le ◽  
Ya Yong Sun
Keyword(s):  
Remote Sensing ◽  
Evaluation System ◽  
Monitoring And Evaluation ◽  
Development Trend ◽  
Flood Disaster ◽  
Remote Sensing Monitoring ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Disaster Monitoring ◽  
Research Situation

This paper expounds the research situation of remote sensing technology in the flood disaster monitoring and evaluation. And some of the application of domestic and foreign better remote sensing monitoring and evaluation system of flood disaster are introduced in this paper. Some current problems of remote sensing monitoring and evaluation of flood disaster and the future development trend are also presented in this paper.

scholarly journals The Disaster Mitigation of Slow-Landslide Movement Induced By Rainfall Based on Ps-Insar Method

2021 ◽  
Vol 3 ◽  
pp. 76-83
Author(s):  
Farid Nur Bahti ◽  
Atika Praptawati
Keyword(s):  
Remote Sensing ◽  
Disaster Management ◽  
Rainfall Data ◽  
Disaster Mitigation ◽  
Displacement Rate ◽  
Maximum Displacement ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Slow Landslide ◽  
Landslide Movement

Disaster management is a big issue in the past few years. Talking about the disaster, an aspect that should be focussed on is mitigation. The development and the ability of Remote sensing technology have a significant impact on disaster management and significantly contribute to disaster mitigation, such as for the disaster monitoring system. The slow-landslide movement is rarely considered in disaster mitigation, even though the acceleration can increase time by time and will be more dangerous than usual. Therefore, the observation of the remote sensing technology is needed for disaster mitigation. PS-InSAR as a space-based observation method can observe the continuous movement on a site location. Thus, this study illustrates the slow-landslide movement mechanism based on remote sensing technology using the PS-InSAR method compared with rainfall data. In this study, the Sentinel-1 images and STAMPS/MTI by Hooper (2004) successfully detect the displacement rate of the Kalibawang Village, Special Region of Yogyakarta, Indonesia, with the maximum displacement rate -23 mm/year along the Line of Sight (LoS) of the satellite. The PS-InSAR result was also compared with the rainfall data, and shows a correlation of the movement during the rainfall season. Therefore, further mitigation is needed to reduce the risk of the disaster.

scholarly journals Monitoring of Carbon Sequestration in Iceland Using Remote Sensing Technology: An Overview of the LanDeg Project

Proceedings ◽  
2019 ◽  
Vol 30 (1) ◽  
pp. 39
Author(s):  
Hrabalikova ◽  
Finger
Keyword(s):  
Remote Sensing ◽  
Carbon Sequestration ◽  
Vegetation Cover ◽  
Remotely Sensed Data ◽  
Gis And Remote Sensing ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Rs Analysis ◽  
Sequestration Rate ◽  
Gis And Rs

The monitoring of restoration and forestation is essential to reduce future drought and flood risk as well as ongoing carbon sequestration projects in Iceland. This is especially relevant for Iceland’s efforts to become carbon neutral by 2040. Such a monitoring can be done by using the state-of-art remote sensing technology, using remotely sensed data and digital mapping approaches. The LanDeg project will use free Geographic Information System (GIS) and Remote Sensing (RS) data to map soil degradation, restoration and ongoing forestation efforts to assess carbon sequestration. For this purpose, we will validate GIS and RS data analysis with field mapping of vegetation and soil cover in a restored area in southern Iceland. The validated GIS and RS analysis will be used to assess restoration efforts and trends in vegetation cover in the area. Subsequently, the changes in the vegetation cover will be used to assess the carbon sequestration rate. Based on these results we will identify best-restoration and carbon sequestration practices.

scholarly journals THE 2015 CEOS DISTANCE EDUCATION COURSE ON GEOLOGICAL DISASTERS MANAGEMENT

2017 ◽  
Vol 50 (3) ◽  
pp. 1643
Author(s):  
A. Mouratidis
Keyword(s):  
Remote Sensing ◽  
Distance Education ◽  
Disaster Management ◽  
Working Group ◽  
Earth Observation ◽  
Joint Effort ◽  
Geological Disasters ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Earth Observation Satellites

The purpose of this paper is to present the framework, content, outcomes and the lessons learnt from the 2015 Committee on Earth Observation Satellites (CEOS) course on geological disasters management, delivered within the 2015 CEOS Distance Education Course entitled “Remote Sensing Technology for Disaster Management” - a joint effort by CEOS Agencies, in particular of the Working Group on Capacity Building & Data Democracy (WGCapD) and the Working Group on Disasters (WGDisasters).

Allergenic weed control by GIS and remote sensing technology

2006 ◽  
Vol 34 (1) ◽  
pp. VIII-XI
Author(s):  
P. Reisinger ◽  
É. Lehoczky ◽  
J. Mikulás ◽  
A. Kismányoky ◽  
P. Burai ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Weed Control ◽  
Gis And Remote Sensing ◽  
Remote Sensing Technology ◽  
Sensing Technology
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