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449 articles for “forests”
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Landscape Characterization in a Watershed of Western Himalayan Ecoregion
Abstract: The study was carried out in Kalsa watershed of Western Himalayan Ecoregion to quantify the landscape structure with special reference to different forest ecosystems. Vegetation and land use map generated using satellite remote sensing data was taken as an input for quantification of landscape structure, which was quantified based on different patch attributes (number, area, shape complexity) and landscape indices viz., Euclidean nearest neighbor distance and contagion. Temperate broadleaf forest …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 1, 2015 · pp. 1–10 Read article
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Monitoring of Tehri Hydroelectric Plant Induced Land Use Land Cover Change Detection in Garhwal District of Uttarakhand
Abstract: The present study analyses the land use change caused by the construction of Tehri dam in Bhagirathi river. Geospatial techniques like Geographic Information System (GIS) and remote sensing have been used to make land use map using Landsat satellite image of 2000 and 2014. In Tehri district, change in land use and new developments (industrial, urban and commercial) were observed. Land use land cover change was done using two satellite …
Published in Journal of Remote Sensing & GIS · Vol. 9, Issue 2, 2018 · pp. 1–9 Read article
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Change Detection of Land Use/Land Cover using Geospatial Techniques: A Case Study of Narpala Mandal, Anantapur District, Andhra Pradesh, India
Abstract: The present study depicts an integrated approach of Geospatial techniques like Remote Sensing (RS) and Geographical Information System (GIS) for assessment of Land Use Land Cover changing aspects of Narpala Mandal of Anantapur district, AP, India. The temporal data of two different years of Landsat imagery of 2008 and 2018 were acquired by USGS Earth Explorer and Land use Land cover changes in the Narpala mandal for 2008 and 2018 …
Published in Journal of Remote Sensing & GIS · Vol. 10, Issue 2, 2019 · pp. 6–12 Read article
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Landuse/Landcover Classification in parts of the Sathyavedu Area, Chittoor District (Andhra Pradesh), India by using Remote sensing and GIS Techniques
Abstract: The aim of the present is to identifying the land use and cover analysis of Sathyavedu area, chittoor district, Andhra Pradesh, India by using Geographical Information System. The present study have been employed with survey of India toposheet No's. 57 O/14, O/15, 66 C/2, and C/3 and Remote sensing LISS-III data. On the basis of field study, topographical maps and satellite data have been determined 15 categories’ in the study …
Published in Journal of Remote Sensing & GIS · Vol. 10, Issue 3, 2019 · pp. 18–24 Read article
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Soil Carbon Stock Under Different Land Uses of Southern Agroclimatic Zone of Tamil Nadu, India
Abstract: AbstractSoil organic carbon (SOC) has long been identified as a factor that is important to soil fertility as well as to the environment because of huge carbon sequestration potential of soils. Estimating C pools under existing land uses provides baseline data to project C sequestration over time. The present study was undertaken to estimate the SOC stock in dominant soil series under different land uses of Southern Agroclimatic zone of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 8, Issue 3, 2019 · pp. 1–7 Read article
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Nutraceutical Potential and Phytochemical Screening of Buchanania Colchichinensis Fruit: A Species of Enormous Potential
Abstract: AbstractBuchanania conchichinensis commonly known as Char, achar, Chironji belonging to the family Anacardiaceae, is a non-wood tree species found in deciduous forests in major parts of India. It is upto 18 m high and has girth of 1.5 m. The first description of this plant was given by Francis Hamilton in 1798. It is used for environmental conservation and in ‘Agroforestry System’. It is used as a fuel; fodder, its …
Published in Research & Reviews : Journal of Botany · Vol. 6, Issue 1, 2017 · pp. 1–4 Read article
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Vegetation Analysis with Reference to Topographic Variables using Remote Sensing Data
Abstract: AbstractThe study was carried out in Kalsa Watershed, Uttarakhand, India to analyze the vegetation composition, topographic attributes and distribution of different vegetation types in relation to topography. Remote Sensing data of Indian satellite IRS 1D-LISS III sensor was used to map vegetation and land use. Survey of India (SOI) topographic map was used to generate the Digital Elevation Model (DEM). A total of 10 vegetation and land use classes were …
Published in Research & Reviews : Journal of Ecology · Vol. 3, Issue 1, 2014 · pp. 31–40 Read article
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Atmospheric Carbon Control and Oxygen Production by Urban Green Campus
Abstract: Deforestation has resulted in a massive degradation of the forest area. At the current rate of forest degradation rejuvenation of the forest trees is becoming increasingly difficult. The urban trees thus contribute in the form of CO2 sink through carbon sequestration and produces oxygen. The urban trees also aid in improving the environmental quality. The urban vegetation is often under rated in terms of its contribution to the human benefits. …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 9, Issue 1, 2019 · pp. 131–139 Read article
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ROLE OF NATURAL PROPERTY RESOURCES (NPRs) IN THE LIVES OF RURAL TRIBAL PEOPLE IN ARUNACHAL PRADESH: A CASE STUDY
Abstract: The tribes constitute a small but important element in India’s population. Thesedescendents of some of the earliest inhabitants of this sub-continent have contributed to the variety and richness of cultural forms in the country. Objective: The aim of the study is to explore the food items of the rural tribal people in remote areas of Arunachal Pradesh. Methodology: Data are collected from 12 villages in 3 districts. The respondents were …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 12, Issue 3, 2024 · pp. 17–25 Read article
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Flood Inundation Mapping for using Sentinel-1 SAR Data for Assam during 2018
Abstract: This paper is focusing on the flood inundation mapping of Hailakandi, Assam flood during 2018 using Sentinel 1 Single Look Complex (SLC) and Ground Range Detected (GRD) data. For the analysis of water pixels, pre and post event images of SLC and GRD data were downloaded with similar specification such as same date, pat and row. Supervised classification is performed with the pre and post event of the study area …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 8, Issue 2, 2019 · pp. 16–25 Read article
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Phyto-Chemical Screening and Quantitative Analysis of Certain Secondary Metabolites of Madhuca indica J. F. Gmel. Leaves used by the Ethnic Communities of Jharkhand State for the Treatment of Different Ailments
Abstract: Plants of Madhuca indica J. F. Gmel., popularly known as “Mahua” is an Indian tropical tree found in abundance in plains and forests of Jharkhand state. Recently, various development and anthropogenic activities have resulted in depletion of forest area on one hand and migration of forest dwellers, mostly tribals, to urban area on the other in search of job. If this continues unabated there are all possibilities of losing valuable …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 5, Issue 2, 2018 · pp. 10–14 Read article
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Cause of climate change and issues in uttrakhand
Abstract: Uttarakhand is experiencing a surge in average temperatures and a significant shift in precipitation regime, causing significant changes in the duration, amount, and form of atmospheric precipitation. The region's shorter snowfall season is believed to be responsible for decreased water supply, leading to water scarcity. The shift in plant blossoming and fruiting has also led to a shift in traditional life support activities, resulting in decreased agricultural productivity, increased pest …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 2, Issue 1, 2024 · pp. 21–26 Read article
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Performance Analysis of Machine Learning Algorithms For Disease Prediction
Abstract: In this 21st century, where Digitization makes humans measure, record, analyze and to manipulate the huge amount of data as per the requirement, prediction of the decease based on Machine Learning models will be representing one of the good applications of the efficient data handling. An Automatic Decease Prediction system based on the symptoms would be the great boon for the medical practitioners. The Supervised Machine Learning models, such as …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 9–18 Read article
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Crop Disease Prediction by Machine Learning
Abstract: The classification of Crop can be classified into several methods. The data set of crop leaf illnesses, notably Bacterial Leaf Blight disease (BLB), a crop leaf disease with significant outbreaks throughout Thailand, and Brown Spot Crop disease (BSR), is classified employing image classification in this study. Additionally, image processing technology is used for identifying different types of crop leaf disease. These algorithms include the Random Forest, Decision Tree, Gradient Boost, …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 21–25 Read article
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Sensor Guard: Thermal Sensor System for Lion Detection and Collision Prevention
Abstract: This paper presents a novel system that utilizes thermal imaging and CCTV cameras integrated with sensors to detect heat sources, specifically focusing on the detection of lions near railway tracks to prevent collisions. The system employs infrared thermal imaging to identify heat signatures of animals, particularly lions, that may create risk to his/her life. By combining thermal sensors and machine learning algorithms, the system is capable of accurately the heat …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 21–28 Read article
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Holistic integrated approach of designing a satellite town: Introducing theories of environmental parameters like pollution free, circular economy and sustainability
Abstract: Urban regions are quite challenging to restore the quality of environment at the global level as well as posing serious threat to climatic changes. This fact is demonstrated on the grounds that around 70% of the carbon footprint is contributed from the urban sector. The authors of the present study have attempted to design a satellite town of population 50,000, partly to dilute the population density of main urban town …
Published in International Journal of Architectural Design and Planning · Vol. 3, Issue 1, 2025 · pp. 24–41 Read article
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Geospatial Assessment of Land Use and Land Cover Changes in Debrigarh Wildlife Sanctuary, Odisha: A Twenty-Year Perspective
Abstract: Among the recorded dynamic processes on the surface of the earth is the change in land use and land cover (LULC) pattern as an outcome of several anthropogenic practices. Planning, development, and management of land for sustainable usage of land depend on plotting and tracing the vagaries in LULC. Anthropogenic activity, generally for forestry and food production, is altering the land surface. The steadily diminishing landscape also has tragic implications …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 2, 2025 · pp. 12–27 Read article
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Smart-Waste-Management-System
Abstract: The rapid urbanization and increasing waste generation pose significant challenges to traditional waste management systems, necessitating innovative solutions that integrate economic principles and management strategies. In order to enhance trash transportation and recycling procedures, this paper investigates the deployment of a Smart trash Management System that makes use of Internet of Things (IoT) components and machine learning algorithms. By applying economic principles such as cost-benefit analysis and resource allocation, and …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 18–27 Read article
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Enhancing Maintenance Decision-Making in Thermal Power Plants Using Generative AI-Based Fault Diagnosis
Abstract: The growing complexity of operation and power consumption of thermal power stations involve the need to have intelligent fault diagnosis systems that can be used to guarantee reliability and safety in operation. In this research, a Generative AI (GenAI)-based hybrid architecture of early fault detection and predictive maintenance is proposed to improve the decision-making process of the maintenance team. The data-driven analytic approach combines methods of data-driven analytics, Generative AI …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 25–33 Read article
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A Review on Artificial Intelligence Techniques for Analyzing Deforestation and Illegal Logging Using Satellite Imagery
Abstract: Deforestation and illegal logging remain critical environmental threats, driving biodiversity loss, climate change, and socio-economic disruption. Conventional monitoring techniques frequently do not yield real-time, large-scale insights. Recent developments in Artificial Intelligence (AI), especially in deep learning and computer vision, have revolutionized the ability to analyze high-resolution satellite images for detecting deforestation and monitoring illegal logging. This review synthesizes recent developments in AI-driven approaches, highlighting convolutional neural networks (CNNs), anomaly detection …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 1–9 Read article