scholarly journals A Low-Cost Optical Remote Sensing Application for Glacier Deformation Monitoring in an Alpine Environment

Sensors ◽  
2016 ◽  
Vol 16 (10) ◽  
pp. 1750 ◽  
Author(s):  
Daniele Giordan ◽  
Paolo Allasia ◽  
Niccolò Dematteis ◽  
Federico Dell’Anese ◽  
Marco Vagliasindi ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Low Cost ◽  
Deformation Monitoring ◽  
Optical Remote Sensing ◽  
Alpine Environment ◽  
Remote Sensing Application ◽  
Sensing Application

A large-scale ceramic package of the CMOS image sensor chip for remote sensing application

2012 ◽  
Author(s):  
Chia-Hung Chang ◽  
Jer Ling ◽  
Shih-Hung Lo ◽  
Wen-Chih Hsu ◽  
Cynthia Liu
Keyword(s):  
Remote Sensing ◽  
Large Scale ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Sensor Chip ◽  
Remote Sensing Application ◽  
Sensing Application

Remote sensing application system for water environments developed for Environment Satellite 1

2010 ◽  
Vol 53 (S1) ◽  
pp. 45-50 ◽  
Author(s):  
ChuanQing Wu ◽  
Qiao Wang ◽  
YongJun Zhang ◽  
JunSheng Li ◽  
YuanFeng Wu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Application System ◽  
Remote Sensing Application ◽  
Sensing Application

scholarly journals Efficacy of using radar-derived factors in landslide susceptibility analysis: case study of Koslanda, Sri Lanka

2019 ◽  
Vol 19 (8) ◽  
pp. 1881-1893 ◽  
Author(s):  
Ahangama Kankanamge Rasika Nishamanie Ranasinghe ◽  
Ranmalee Bandara ◽  
Udeni Gnanapriya Anuruddha Puswewala ◽  
Thilantha Lakmal Dammalage
Keyword(s):  
Remote Sensing ◽  
Spatial Data ◽  
Landslide Susceptibility ◽  
Prediction Models ◽  
Low Cost ◽  
Information Value ◽  
Spatial Data Analysis ◽  
Optical Remote Sensing ◽  
Analytic Hierarchy ◽  
Technological Developments

Abstract. Through the recent technological developments of radar and optical remote sensing in (i) the areas of temporal, spectral, spatial, and global coverage; (ii) the availability of such images either at a low cost or free of charge; and (iii) the advancement of tools developed in image analysis techniques and GIS for spatial data analysis, there is a vast potential for landslide studies using remote sensing and GIS as tools. Hence, this study aimed to assess the efficacy of using radar-derived factors (RDFs) in identifying landslide susceptibility using the bivariate information value method (InfoVal method) and the multivariate multi-criteria decision analysis based on the analytic hierarchy process statistical analysis. Using identified landslide causative factors, four landslide prediction models – bivariate with and without RDFs as well as multivariate with and without RDFs – were generated. Twelve factors such as topographical, hydrological, geological, land cover and soil plus three RDFs are considered. The weight of index for landslide susceptibility is calculated by using the landslide failure map, and susceptibility regions are categorized into four classes as very low, low, moderate, and high susceptibility to landslides. With the integration of RDFs, boundary detection between high- and very-low-susceptibility regions are increased by 7 % and 4 % respectively.

Remote sensing application to estimate fish kills by Saprolegniasis in a reservoir

2019 ◽  
Vol 669 ◽  
pp. 930-937 ◽  
Author(s):  
Matias Bonansea ◽  
Miguel Mancini ◽  
Micaela Ledesma ◽  
Susana Ferrero ◽  
Claudia Rodriguez ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Fish Kills ◽  
Remote Sensing Application ◽  
Sensing Application
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