Chitrini Mozumder

Chitrini Mozumder
Asian Institute of Technology · Department of Remote Sensing and Geographic Information Systems (RS-GIS)

D. Eng

About

25
Publications
40,536
Reads
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347
Citations
Additional affiliations
December 2016 - present
Asian Institute of Technology
Position
  • Researcher
November 2014 - June 2016
Sultan Qaboos University
Position
  • PostDoc Position
June 2014 - October 2014
Sultan Qaboos University
Position
  • Researcher
Education
August 2010
Asian Institute of Technology
Field of study
  • Remote Sensing and GIS
August 2007 - June 2009
National Institute of Technology Warangal
Field of study
  • Remote Sensing and GIS in Civil Engineering
August 2002 - June 2006
Assam Engineering College
Field of study
  • Civil Engineering

Publications

Publications (25)
Article
This study assesses the dynamic coastal vulnerability of Kakinada district in India by integrating various geophysical and socioeconomic factors within a geospatial framework. The analysis examines data from 2001, 2011, and 2021, evaluating dynamic components like cyclone track density, tsunami surge, coastal erosion, temperature rainfall, populati...
Chapter
Full-text available
Drought, in recent decades, has emerged as one of the most complex hydroclimatic disasters affecting strongly on the economy, environment and resulting in difficult challenges for mankind. In Thailand, it is one of the persistent recurring issues which last from several months to years. Among different pressing factors, the El Nino Southern Oscilla...
Article
Full-text available
Telemedicine and remote patient monitoring (RPM) systems have been gaining interest and received adaptation in healthcare sectors since the COVID-19 pandemic due to their efficiency and capability to deliver timely healthcare services while containing COVID-19 transmission. These systems were developed using the latest technology in wireless sensor...
Article
Full-text available
This study provides an overview of existing applications that offer remote care for daily monitoring and heart diseases. The study’s goal is to provide insightful knowledge about trends, important aspects to take into account, important factors that are lacking, and future directions of telemedicine systems.
Article
Full-text available
Child malnutrition is often the most common factor that causes child mortality rate. In the study of child malnutrition, there is limited evidence on spatial analysis to identify spatial trends and hotspots of indicators and contextual factors contributing to geographical inequalities in child malnutrition. This study aimes to investigate the spati...
Chapter
Today, with the innovations and advancements of technologies and affordability of digital devices there is an explosion of huge amounts of archived and real-time digital data. This also includes the subset of the “Big Earth Data” which is generated using multitudinous sources viz., satellites, sensor networks, Internet of Things systems, and the hy...
Article
Full-text available
The utilization of remote sensing and GIS is increasing in importance across the world for disaster preparedness, assessments, mitigation, and governance. A major focus is on extracting and disseminating useful information from satellite and airborne data sources for effective planning and decision making during and after disasters. This study pres...
Article
Full-text available
E-learning is widely used in academic education, and currently, the COVID-19 pandemic is increasing the demand for e-learning resources. This report describes the results achieved and the experiences gained in the Erasmus+ CBHE (Capacity Building in Higher Education) project “Innovation on Remote Sensing Education and Learning (IRSEL)”. European an...
Preprint
Full-text available
Human detection from Unmanned Aerial Vehicles (UAV) is gaining popularity in the field of disaster management, crowd counting, people monitoring. Real time human detection from UAV is a challenging task, because of many constraints involved. This study proposes a system for real time detection of humans on videos captured from UAVs addressing three...
Conference Paper
Full-text available
Chlorophyll-a (chl-a) and sea surface temperature (SST) recorded by MODIS-Aqua from 2002-2015 show pronounced monthly, seasonal, interannual and spatial variability and distinct differences between NW Sea of Oman and the adjoining SE Arabian Gulf. The annual average chl-a values in NW Sea of Oman was 1.86 mg m-3 compared to 1.78 mg m-3 in the SE Ar...
Article
Full-text available
Metropolitan regions worldwide are experiencing rapid urban growth and the planners often employ prediction models to forecast the future expansion for improving the land management policies and practices. These regions are a mix of urban, peri-urban and rural areas where each sector has its unique expansion properties. This study examines the diff...
Article
Full-text available
The unprecedented urban growth especially in developing countries has laid immense pressure on wetlands, finally threatening their existence altogether. A long-term monitoring of wetland ecosystems is the basis of planning conservation measures for a sustainable development. Deepor Beel, a Ramsar wetland and major storm water basin of the River Bra...
Article
Full-text available
Climate variability and landuse change are interlinked. This study deals with assessment of the impact of climate variability on agricultural land use change (agricultural area and yield) through statistical modeling in Ping Basin. The period for agricultural area change covers between 1990 and 2009 while yield is analysed under current (1981-2009)...
Conference Paper
Full-text available
Several techniques are being used for extracting information from satellite images from decades. Extracting features based on segmented objects of the image is relatively a newer and efficient approach. However, for heterogeneous areas with high variations of Land Use-Land Cover (LULC) it is difficult to obtain accurate classified map from moderate...
Article
Full-text available
There is a need for timely information about changes in the air pollution levels in cities for adopting precautionary measures. Keeping this in view, an at-tempt has been made to develop a model which will be useful to obtain air quality information directly from remotely sensed data easily and quickly. For this study pixel values, vegetation indic...
Conference Paper
Geospatial technologies offer cost effective methods for identifying and monitoring wetlands and their uplands. However due to mixed pixel problems it is difficult to directly delineate the wetland from its surroundings. In this study, topographic maps, Landsat (MSS, TM and ETM) and SRTM DEM have been used for identification and detection of spatio...
Conference Paper
In recent years, climate change is a leading issue in various changes on the earth. In this study an attempt has been made to understand the affect of climate change on Deepor Beel, a Ramsar convention wetland in North East India. At first step, topographic maps, Landsat (MSS, TM and ETM) and SRTM DEM have been used for identification and detection...
Conference Paper
The ecological condition and biotic associations in a river are significantly influenced by geomorphic condition of the river, and therefore, any efforts towards river rehabilitation must address these issues to derive a long-term benefit. Such geomorphic diversity may be generated in various ways - discharge regimes and vegetation cover (driven by...

Questions

Questions (10)
Question
The motive is to develop spatial planning tools to support the ecosystem approach (considering bio-physical and socio-economic factors, suitability of cultured species, scale of operations and farming technologies employed) to aquaculture and fisheries development. But, as a beginner, I would like to know what are the spatial planning tools widely used in these kind of research. Any kind of help is greatly appreciated.
Question
Most of the studies prefer laboratory testing on field samples for measuring soil salinity. Now I see there are many sensors available in the market, how useful and accurate are they?
Question
I modeled urban growth in a city for 4 different scenarios. How to optimize the results of the modeled land use in (say) 2025 and choose a best one? Basically, I want to evaluate the scenarios quantitatively. I have the city master plan demand for 2025. Is it good just to compare the results with the master plan map or we can adopt any other method?
Question
Is there a model to calculate the land demand based on different years of population?

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