Prof. Dr. Mukesh Singh Boori
Space Science, Atmospheric Science, Computers in Geosciences, Earth-Surface Processes, Geophysics, Space and Planetary Science, Ecology and Conservation, Environmental Monitoring and Analysis, Environmental Sciences (General), Environmental Technology, Policy and Management, Global Change Remote Sensing, GIS, Ecology, Ecosystem, Environmental Science, GPS/GNSS, DIP, Geoinformatics Space Science Atmospheric Science Computers in Geosciences Earth-Surface Processes Geophysics Space and Planetary Science Ecology and Conservation Environmental Monitoring and Analysis Remote Sensing and Land Use Remote Sensing in Agriculture Flood Risk Assessment and Management Land Use and Ecosystem Services Plant Water Relations and Carbon Dynamics Soil and Land Suitability Analysis Hydrology and Drought Analysis Energy, Environment, Agriculture Analysis Sustainable Agricultural Systems Analysis Soil Science and Environmental Management Agricultural Systems Engineering Engineering and Agricultural Innovations Agricultural Science and Fertilization Ecology and Vegetation Dynamics Studies Plant Ecology and Soil Science Science and Climate Studies Smart Systems and Machine Learning Data Mining and Machine Learning Applications Aquatic Science Computer Networks and Communications Control and Systems Engineering Ecology Environmental Chemistry Global and Planetary Change Information Systems Management, Monitoring, Policy and Law Nature and Landscape Conservation Renewable Energy, Sustainability and the Environment Soil Science

Educational Journey

University of Leicester

Honorary Title

2014

University of Maryland Baltimore

Postdoc.

2012

Universidade Federal do Rio Grande do Norte

PhD

2011
Show all 6 education

Experience

Assistant Professor

2022 - Present • Department of Earth and Environmental Science

Senior Scientist

2015 - 2022 • Scientific Research Laboratory of Geo-informatics and Information Security (SRL-55)

Assistant Professor

2013 - 2015 • Department of Geoinformatics
Show all 7 experience

Editors Role

Reviewer

GJSFR

2014 -

Grants and Awards

FELLOWSHIP

National Academy of Sciences (NAS) Fellowship

National Research Council (NRC) central government of USA Washington DC

GRANT

European Union Social Fund

European Union

HONORARY FELLOWSHIP

Honorary Fellow from the University of Leicester

University of Leicester

FELLOWSHIP

Brazil-Italy Government Fellowship

Brazil and Italy governments

FELLOWSHIP

Belgian Government Space Fellowship

Belgian government

FELLOWSHIP

Indian Government Space Fellowship

Indian government

AWARD

Best Paper Award at ITNT Russia

ITNT Russia

AWARD

Best Paper Award at ICIKM Hong Kong

ICIKM Hong Kong

Show all 8 grants

Research

Socio-Hydrological Vulnerability: A New Science through Remote Sensing and GIS

Article September 25, 2014

Socio-hydrological vulnerability is a new area of research that integrates people and their activities into water science. This type of research is important in water scare areas such as arid and semi-arid areas on the globe. The main objective of this type of research is to develop a sociohydrological vulnerability index in semi-arid region by combining remote sensing, bio-geophysical and social data. In general, vulnerability is expressed as a function of the exposure, sensitivity and adaptive capacity of a region to natural disasters and climate change effects. The heart of water security is the ability of water systems to meet changing human and environmental needs. Socio-hydrological vulnerability research ensures that decisions made about our water resources incorporate a range of values and perspectives about the meaning, value and use of water. Presently scientists bring an interest in human values, markets, social organizations and political institutions to the traditional focus of water science on climate, social and hydrology. It is a reality that natural disasters (such as drought and floods) results in sets of socio-hydrological impacts starting with cropyield failure, unemployment, erosion of assets, income decrease, poor nutrition and decreasing risk absorptive capacity, thereby increasing the vulnerability of the community. In addition, it is demonstrated that the severity of these social impacts is experienced differently and depends one hand on socio-hydrological characteristics and on other hand on people’s exposure and characteristics, which are respectively named bio-geophysical, hydrology and social vulnerability. Mapping socio-hydrological vulnerability patterns across space and time helps to identify socially and bio-geophysical vulnerable areas and assists with climate change adaptation strategies in areas to projected socio-hydrological vulnerability.

A Remote Sensing and GIS Based Approach for Vulnerability, Exposer and Landscape Trajectories in Olomouc, Czech Republic

Article September 25, 2014

Olomouc with Jeseníky mountains tourism in Czech Republic is unique for its floristic richness, which is caused mainly by the altitude division and polymorphism of the landscape; climate and oil structure are other important factors. This study assesses the impacts of tourism on the land cover in the Jeseniky mountain region by comparing multi-temporal Landsat imagery (1991, 2001 and 2013) to describe the rate and extent of land-cover change throughout the Jeseniky mountain region. This was achieved through spectral classification of different land cover and by assessing the change in forest; settlements; pasture and agriculture in relation to increasing distances (5, 10 and 15 km) from three tourism site. The results indicate that the area was deforested (11.13%) from 1991 to 2001 than experienced forest regrowth (6.71%) from 2001 to 2013. In first decay pasture and agriculture areas was increase and then in next decay it was decrease. The influence of tourism facilities on land cover is also variable. Around each of the tourism site sampled there was a general trend of forest removal decreasing as the distance from each village increased, which indicates tourism does have a negative impact on forests. However, there was an opposite trend from 2001 to 2013 that indicate conservation area. The interplay among global (tourism, climate), regional (national policies, large-river management), and local (construction and agriculture, energy and water sources to support the tourism industry) factors drives a distinctive but complex pattern of land-use and land-cover disturbance. As Olomouc is a unique and complex landmark with widespread forestation and land use. This research work was conducted to assess important and complex land use change trajectories in Olomouc region. Multi-temporal satellite data from 1991, 2001 and 2013 were used to extract land use/cover types by object oriented classification method. To achieve the objectives, three different aspects were used,