Mukesh Singh Boori

University of Central Asia · School of Arts and Sciences

It is a novel approach to linking landscape ecological risk (LER) and ecosystem services (ESs) for environmental management and sustainable development, since it enables real-time decision-making. This study used 12 natural factors relevant to LER and 11 ESs factors to analyze spatiotemporal changes and establish a relationship between them in Tata...

Спутниковое дистанционное зондирование для науки о Земле и космосе. Часть 2. / М.С. Бури, Р.А. Парингер, Д.В. Кирш, А.В. Куприянов. Самара: Новая техника, 2022. - 184 с. - ISBN 978-5-88940-162-9. (Samara: New Technology, Russian Language textbook Part 2).

Accurate yield prediction is essential for growers, researchers, governments, the farming industry, and policymakers for social peace, food safety, security, and sustainable development. The results of earlier techniques of data collecting and analysis for yield forecasts were typically delayed, expensive, time-consuming, site-specific, and riddled...

A spatiotemporal ecosystem health (EH) assessment study is necessary for sustainable development and proper management of natural resources. At present higher rate of human-socio-economic activities, industrialization, and misuse of land are major factors for ecosystem degradation. Therefore this research work used remote sensing (RS) and geographi...

The republic of Tatarstan is one of the most growing state in Russia in terms of industrialization and modernization with various natural disasters and intense human activities which brought dramatic changes in the ecological process and then led to serious ecological vulnerability. Therefore this research work proposed an analytical framework base...

Спутниковое дистанционное зондирование для науки о Земле и космосе. Часть 1. / М.С. Бури, Р.А. Парингер, Д.В. Кирш, А.В. Куприянов. Самара: Новая техника, 2021. - 276 с. - ISBN 978-5-88940-159-9. (Samara: New Technology, Russian Language textbook Part 1).

In the present global situation, when everywhere ecology is degraded due to the extreme exhaustion of natural resources. Therefore spatiotemporal ecological vulnerability analysis is necessary for the current situation for sustainable development with protection of fragile eco-environment. Remote sensing is a unique tool to provide complete and con...

Ecosystem health (EH) is an important parameter for an areas sustainable development. This research work used remote sensing and GIS based ecological indicators under pressure-state-response (PSR) framework for ecological health assessment. Total 15 indicators were developed, from that 12 and 3 indicators were categorized for pressure and state ind...

Ecological environment quality assessment (EEQ) is an important parameter for sustainable development and sometimes it's more valuable during industrialization and urbanization progress of the region. This study compares remote sensing ecological index (RSEI) and ecological index (EI) and assesses EEQ with the most popular pressure-state-response (...

Last few decades there are lots of changes in Southeast Asia land cover due to development, industrialization, increasing population, socio-economic activities, and food demands. This research work analysis the maximum likelihood supervised classification approach for Southeast Asia land cover mapping and changes at 30m resolution from 2010 to 2019...

Crop growth monitoring is an important phenomenon for agriculture classification, yield estimation, agriculture field management, improve productivity, irrigation, fertilizer management, sustainable agricultural development, food security and to understand how environment and climate change effect on crops especially in Russia as it has a large and...

In this research work vegetation dynamics was examined for spring-summer (may–august) season based on Moderate Resolution Imaging Spectroadiometer (MODIS) satellite data generated Normalized Difference Vegetation Index (NDVI) with elevation from 2014 to 2018 in Southern part of European Russia. The resulting divergent groups with respect to decreas...

Rainfall and temperature are the key factors responsible for vegetation condition, health and growth. This research work analysis spatiotemporal phenomena in between SPI, LST and VIs in summer session from 2000 to 2018 in European Russia. This study used MODIS, NDVI, LST and TRMM data. The negative SPI values represent increasing drought events wit...

This article presents the use of the Normalized Differences Vegetation Index (NDVI) time series based change detection method for agriculture phenology monitoring. NDVI make use of the multi-spectral remote sensing data band combinations techniques to find out landscape such as agriculture, vegetation, land use/cover, water bodies and forest. Geogr...

Monitoring of land use/cover (LULC) change is very important for sustainable development planning study. This research work is to understand natural and environmental situation and its cause such as intensity, distribution and socio and economic effects in Moscow, Russia based on remote sensing and Geographical Information System techniques. A mode...

Around one-third of the world’s population drinks water from groundwater resources. Of this, about 10 percent, approximately 300 million people, obtains water from groundwater resources. This study identify and mapping of groundwater potential zone for growing population, irrigation and industrial development, combining with remote sensing (RS), ge...

This research work deals with the spatial-temporal characteristics of the relationship between drought events (Standardized Precipitation Index [SPI]), land surface temperature (LSI) and vegetation indexes (VIs) in the spring-summer (May-August) over the European Russia (ER) from 2000 to 2018. We use Terra- MODIS - NDVI and LST product and TRMM for...

The main objective of this study was to detect groundwater availability for agriculture in the Orenburg, Russia. Remote sensing data (RS) and geographic information system (GIS) were used to locate potential zones for groundwater in Orenburg. Diverse maps such as a base map, geomorphological, geological structural, lithology, drainage, slope, land...

The main aim of this research work is to compare k-nearest neighbor algorithm (KNN) supervised classification with migrating means clustering unsupervised classification (MMC) method on the performance of hyperspectral and multispectral data for spectral land cover classes and develop their spectral library in Samara, Russia. Accuracy assessment of...

Groundwater is one of the valuable natural resources determining the health of a human being in an area. The present research investigated the hydrogeological determinants to assess the sensitivity of each factor to the intrusion pattern and to map the regional groundwater potential zone for the dry humid continental watershed in Orenburg, Russia u...

Land use/cover change analysis assists decision makers to ensure sustainable development and to understand the dynamics of our changing environment. This research work is to understand natural and environmental vulnerability situation and its cause such as intensity, distribution and socio-economic effect in the Moscow, Russia based on remote sensi...

The purpose of this research work is to compare hyperspectral and multispectral imagery to discriminating land-cover classes by k-nearest neighbor algorithm (KNN) supervised classification with migrating means clustering unsupervised classification (MMC) method and in last develop spectral library. We used Earth Observing-1 (EO-1) Hyperion hyperspe...

The Central Dry Zone area of Myanmar is the most water stressed and one of the most food insecure regions in the country. Agriculture is the most important economic sector in Myanmar as it is essential for national food security and a major source of livelihood. The adverse effects of climate change are believed to be a major constraint to food ins...

The main aim of this research work is to compare the performance of hyperspectral and multispectral data for spectral land cover classes and develop their spectral library in Samara, Russia. We were analyzed and compared Earth Observing-1 (EO-1) Hyperion hyperspectral data to Landsat 8 Operational Land Imager (OLI) and Advance Land Imager (ALI) mul...

The central dry zone area of Myanmar is the most water stressed and also one of the most food insecure regions in the country. In the Dry Zone area, the total population is 10.1 million people in 54 townships, in which approximately 43 % live in below poverty line and 40–50 % of the rural population is landless. Agriculture is the most important ec...

The central dry zone area of Myanmar is characterized as vulnerable area due to water stressed and one of the most food insecure regions in the country. In this region, the adverse effects of climate change are believed to be a major constraint to vulnerability. Theses extreme climatic events are likely increase in frequency and magnitude of seriou...

This research work presents vulnerability mapping with land use/cover change detection in Astrakhan city Russia. This study identifies, assess and classify vulnerability using landscape pattern from multidisciplinary approach based on remote sensing (RS) and geographical information system (GIS) approach. To identify vulnerability we used following...

The main aim of this research work is to identify natural and environmental vulnerability distribution in Astrakhan, Russia. This paper identifies, assess, and classify natural and environmental vulnerability using landscape pattern from multidisciplinary approach, based on remote sensing and Geographical Information System (GIS) techniques. A mode...

Spatio-temporal analysis is a process for city development with growing population and economy for better implementation of planning policies with advance technology. In this research work, three dates (1995, 2005 & 2016) satellite images were used to mapping and monitoring of Moscow region, Russia. This study focuses on the further classification...

The defense of the notion of ‘compact city’ as a strategy to reduce urban sprawl to support greater utilization of existing infrastructure and services in more compact areas and to improve the connectivity of employment hubs is actively discussed in urban research. Using the urban residential density as a surrogate measure for urban compactness, th...

The central dry zone of Myanmar is the most water stressed and also one of the most food insecure regions in the country. In the Dry Zone, the total population is 10.1 million people in 54 townships, in which approximately 43 % of people live below the poverty line and 40 – 50 % of the rural population is landless. Agriculture is the most important...

The main aim of Ms research work is to create environmental profile in central dry zone area of Myanmar due to harsh climatic conditions. In the study region the adverse effects of climate change are believed to be a major constraint to uncertain ecosystem. Theses extreme climatic events are likely to increase in frequency and magnitude of serious...

The central dry zone of Myanmar is the most water stressed and also one of the most food insecure regions in the country. In the Dry Zone, the total population is 10.1 million people in 54 townships, in which approximately 43 % of people live below the poverty line and 40 – 50 % of the rural population is landless. Agriculture is the most important...

This data article contains data related to the research article entitled “Global land cover classification based on microwave polarization and gradient ratio (MPGR)” [1] and “Microwave polarization and gradient ratio (MPGR) for global land surface phenology” [2]. This data article presents land surface characteristics and snow cover variation infor...

Earth`s only 3 percentage area is covered by built –up but have high significant climate and environmental consequences. Since last three – four decades in Russia, there are many changes in land use and urban growth, which has resulted in vast ecological and environmental issues, both in urban and peri-urban areas. In this context, urban growth and...

This data article presents satellite data related to city growth of Singapore, Manila and Kuala Lumpur cities. The data were collected from NASA and USGS websites. A method has been developed for city built-up density from city center to outward till 50km by using satellite data. These data sets consists three decade Landsat images. A detailed desc...

A method has been developed for urbanization by using satellite data and socio-economic data. These datasets consists three decade Landsat images and population data. A detailed description using flow chart is given to show how to use this data to produce land use/cove maps. The land use/cove maps were used to know the urban growth in Samara City,...

simulation of satellite data and with socio-economic data such as population, migration and urbanization led problems related to quality of life in Samara city and derive landscape trajectory and urban expansion. Supervised classification methodology has been employed using maximum likelihood technique in ArcGIS 10.1 Software for five different tim...

Monitoring of land use/cover change is very important for sustainable development planning study. This research work is to understand natural and environmental vulnerability situation and its cause such as intensity, distribution and socio-economic effect in the Indigirka River basin, Eastern Siberia, Russia based on remote sensing and Geographical...

City vulnerability is an assessment of priorities for implementation in a city. Thus, it is imperative to determine vulnerable regions in the city to identify priority areas that may require immediate intervention. Several methods used for national, international and local level vulnerability assessment are based on remote sensing and GIS technolog...

In the present paper, satellite image classification methods were applied to extract four main types of land use: water resources, built-up areas, forests and agricultural land. To evaluate in which way the urban growth and land use changes occurred in the city of Samara, Landsat satellite images taken at five different time periods over the years...

This study illustrates the spatio-temporal dynamics of urban growth and land use changes in Samara city, Russia from 1975 to 2015. Landsat satellite imageries of five different time periods from 1975 to 2015 were acquired and quantify the changes with the help of ArcGIS 10.1 Software. By applying classification methods to the satellite images four...

Kuala Lumpur is currently experiencing a large-scale urban transformation. This study explores a multi-buffer ring method to investigate the spatial and temporal dynamics of urban growth in the Kuala Lumpur metropolitan area by using Geographical Information Systems (GIS) and remote sensing imageries from1989 to 2014. The first Landsat images from...

Land surface parameters are highly integrated and have a direct effect on water and energy balance and weather predictions. Due to the difficulties in correcting the influences of the atmosphere absorbability and the earth surface emissivity diversification, the retrieval of land surface temperature (LST) from satellite data is a challenging task....

The objective of this study is vulnerability and exposer intensity due to land use change in Olomouc, Czech Republic. Vulnerability assessment with exposer intensity to land use/cover change is an important step for enhancing the understanding and decision-making to reduce vulnerability. This study work includes quantification of Exposure Index (EI...

The city of Kuala Lumpur has become one of the most vital cities in Asia. It has booming economy and the vitality of expanding cities. During the last three decades growth in population, industry and economic activities has been strongly concentrated in Kuala Lumpur metropolitan area. This research is focused on urban built-up and urban vegetation...

Microwave polarization and gradient ratio (MPGR) is an effective indicator for characterizing the land surface from sensors like EOS Advanced Microwave Scanning Radiometer (AMSR-E). Satellite-generated brightness temperatures (BT) are largely influenced by soil moisture and vegetation cover. The MPGR combines the microwave gradient ratio with polar...

Management of city susceptibility is prerequisite to global sustainable development. For this reason, many international agencies have conducted assessments that compare city susceptibilities on a global scale and used the results of these assessments as standards for setting their institutional priorities.

The official foundation date of Samara is 1586. That time small fortress was built at the confluence of the Volga and Samara rivers. It was protecting the eastern borders of the Russian state from nomads.

The Jeseníky Mountains tourism in Czech Republic is unique for its floristic richness. This is caused mainly by the altitude division and polymorphism of the landscape, climate and soil structure. This study assesses the impacts of tourism on the land cover in the Jeseníky Mountain region by comparing multi-temporal Landsat imageries (1991, 2001 an...

This research work analyse environmental vulnerability evaluation from 1991 to 2013 in Olomouc, Czech Republic. Remote sensing (RS) and geographical information system (GIS) technology were used to develop an environmental numerical model for vulnerability evaluation based on spatial principle component analysis (SPCA) method. Land use/cover change...

The 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 Land...

Vulnerability index, exposer intensity and landscape trajectories is an area of research that integrates people and their activities into natural environment. This type of research is important in natural disaster areas on the globe. The main objective of this type of research is to develop a vulnerability index by combining remote sensing, bio-geo...

The aim of this research is to test Artificial Neural Network (ANN) package in GRASS 6.4 software for spatial interpolation and to compare it with common interpolation techniques IDW and ordinary kriging. This package was also compared with neural networks packages nnet and neuralnet available in software R Project. The entire packages uses multi-l...