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463 articles for “forests”
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Satellite Based Assessment of Biomass and Carbon Stock for a Mountainous Watershed Using Geoinformatics Technique
Abstract: Biomass and carbon estimation methods are relatively time consuming and more expensive, not uniformly standardized across the world, and are characterized in many regions by undersampling. Remote sensing technologies provide powerful tools for observing biomass and carbon stock estimation in mountain environments. The study gives a practical method for mapping forest biomass and carbon stock that uses spatial information on forest type and structural attributes extracted from a satellite image. …
Published in Journal of Remote Sensing & GIS · Vol. 3, Issue 1, 2012 · pp. 33–50 Read article
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Integration of Remote Sensing and GIS for Land Use/Land Cover Mapping in Rewari District, Haryana
Abstract: Spatial information is very important for the implementation of planning and development activities. Land use planners are always keen to know land use/cover types and their change detection in time series for sustainable land management. Remote sensing with its multispectral, multi-temporal and synoptic view has the potential to provide accurate spatial and temporal information on land-use/land cover of a region in a time and cost effective manner for the sustainable …
Published in Journal of Remote Sensing & GIS · Vol. 5, Issue 2, 2014 · pp. 40–45 Read article
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Landuse and Landcover analysis using Remote Sensing and GIS: A case study in parts of Kadapa District, Andhra Pradesh, India.
Abstract: Digital change detection techniques by using multi-temporal satellite imagery helps in understanding landscape dynamics. The present study illustrates the spatio-temporal dynamics ofLand use/cover of around Chennur, Kadapa District, Andhra Pradesh India. Landsat satellite imageries of two different time periods, i.e., Landsat Thematic Mapper (TM) were acquired by earth explorer site and quantify the changes in the study area 2005-2006 to 20015-16 over a period of 10 years. Supervised classification methodology …
Published in Journal of Remote Sensing & GIS · Vol. 9, Issue 3, 2018 · pp. 1–7 Read article
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Land Use/Land Cover Change Detection Analysis Using Supervised Classification, Remote Sensing and GIS In Mandavi River Basin, YSR Kadapa District, Andhra Pradesh, India
Abstract: Assessment, development, and management of watershed strategy require exact calculations reports of present and past land use/cover data and its change determine the ecological and hydrological process taking place in a watershed. In this study, we have to adopt supervised classification with maximum likelihood algorithm in ERDAS imagine to notice land use/cover changes (LU/LCC) analyzed in Mandavi river basin, Kadapa district, Andhra Pradesh, India using multispectral satellite data gained from …
Published in Journal of Remote Sensing & GIS · Vol. 9, Issue 3, 2018 · pp. 46–54 Read article
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Smart Innovations for Biodiversity Conservation
Abstract: Biodiversity, or the vast diversity of life on Earth, is rapidly vanishing. In the last few decades, there has been a massive loss. Several animal and plant species have declined in recent decades. At an alarming rate, hundreds of thousands of acres of forests have been devastated. Several blue whales, polar bears, pandas, and other well-known animals starved to death. Many yet-to-be-discovered species are also in jeopardy. In recent years, …
Published in Journal of Remote Sensing & GIS · Vol. 12, Issue 3, 2021 · pp. 26–29 Read article
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Correlation Between Tree Diversity and Spectral Variables of Sentinel-2 Images: A Study of Langtang National Park, Nepal
Abstract: This study was objectively conducted to explore the tree diversity of Langtang National Park (LNP), Nepal and show the correlation between spectral variables and tree biodiversity. Sentinel-2 MSI of LNP in Nepal was acquired from https://scihub.copernicus.eu/. Total 60 samples were collected from forest. Pearson correlation was established to show relationship between tree species diversity and reflectance values. Bagging LASSO algorithm was used to validate the model. Result shows that Shannon-Weiner …
Published in Journal of Remote Sensing & GIS · Vol. 13, Issue 2, 2022 · pp. 55–66 Read article
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Identification of Markers through Micromorphological Approach of Four Species of Fabaceae in Bankura, West Bengal
Abstract: Recently agro-forestry is gaining much importance as it has a vast scope to mitigate several problems. Many parts of the World especially in the tropics, vast areas of forest lands are now denuded of trees destroying the fragile environment and leaving extensive area unproductive. So, these areas can be reutilized by growing fuel wood plants as an alternative to fossil fuel. So, for large scale plantation screening for desired species …
Published in Research & Reviews : Journal of Botany · Vol. 9, Issue 2, 2020 · pp. 1–4 Read article
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Sacred Groves—Repository of Medicinal Plant Resources: A Review
Abstract: Sacred groves are traditionally protected forest or forest patches, with the rich repository of diverse flora with the medicinal plants. Ethno-medicinal knowledge on sacred grove plants have enormous prospects either in the form of natural resources and bio-prospecting. Now a days these small patches suffers from multiple disturbances grazing, encroachment, changing social perspective and hence medicinal plant resources. This study reviews medicinal plant resources in the sacred groves on distribution …
Published in Research & Reviews : Journal of Ecology · Vol. 8, Issue 1, 2019 · pp. 12–20 Read article
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Ethnomedicinal and Economical Aspects of Endemic Plants in the Catchment of Myristica Swamps, Western Ghats, India
Abstract: Myristica swamps are freshwater swamps famed for its fascinating primitive live and considered as world’ most unique and primaeval ecosystem. These swamps are predominated by members of the ancient family. Myristicaceae and created enormous hydrological network, unique distribution of plants vegetation along the Western Ghats, India. These Myristica swamps forest are considered as a virtually living museums of primitive live and support better understanding in regard to climate change on …
Published in Research & Reviews : Journal of Ecology · Vol. 12, Issue 2, 2023 · pp. 1–17 Read article
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An Assessment of some Ferns of the Polypodiaceae Family from Kinnaur district of Himachal Pradesh with Reference to their Morphological and Ethnobotanical Aspects
Abstract: Pteridophytes represent a category of seedless plants that reproduce through spores. This group is divided into two lineages: lycophytes, characterized by fronds with no leaf gap in the stem stele (Lycophylls), and Monilophytes, commonly known as ferns, which have fronds with a leaf gap in the stem stele. The Himalayan Region in India stands out globally for its distinctive topography, extensive altitudinal range, diverse climate, and varied habitats. Pteridophytes play …
Published in Research & Reviews : Journal of Ecology · Vol. 12, Issue 3, 2023 · pp. 5–17 Read article
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Sub-Pixel Classification of Multi-date Satellite Images for Accurate Change Detection in Pichavaram Mangroves, Tamilnadu, India
Abstract: The Pichavaram mangrove wetland ecosystem contains species such as Rhizophora apiculata and Avicennia marina which are interspersed with the creeks and marshland landforms. Various studies have indicated that over the years the areal extent of this mangrove ecosystem has decreased due to both human impact and natural causes (erosion). However, field visits have indicated an increase in the areal extent due to re-forestation by the officials of the forestry department. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 2, Issue 3, 2013 · pp. 30–37 Read article
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Tweets Classification using Different Classifiers for Sentiment Analysis
Abstract: Twitter is a famous platform for social networking where people share and engage with "tweets" comments. It is a way of expressing people's opinions or emotions on various topics. Different parties, like producers and consumers, have carried out a sentiment analysis on tweets to gain insights into goods or to analyze the sector. Also, the accuracy of our sentiment analysis forecasts will increase with the recent advances in machine learning …
Published in Research & Reviews : Journal of Statistics · Vol. 10, Issue 3, 2021 · pp. 34–43 Read article
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TinyML-Based Real-Time Industrial Fault Detection Using Vibration Signals
Abstract: Industrial rotating machinery is commonly monitored through vibration measurements because changes in bearing condition can alter signal amplitude, impulsiveness, and spectral distribution. Cloud-centred analytics may introduce communication dependence, bandwidth demand, and response delay. Tiny Machine Learning (TinyML) offers a complementary approach by executing compact inference locally on resource-constrained edge hardware. This paper presents a reproducible, deployment-oriented workflow for vibration-based machine-state classification using statistical and spectral features with small classifiers suitable …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 3, 2026 Read article
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Google Play Store Analysis
Abstract: Google play store consists of millions of applications and several thousand apps are added on the play store every day. The competition is so fierce that it is really difficult for the developers to find out whether the app that is the product of his hard work is going to be successful or not. The main goal of the study is to create a tool that helps developers and organizations …
Published in Journal of Open Source Developments · Vol. 8, Issue 4, 2021 · pp. 11–25 Read article
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Mechanical Properties Investigation of Green Waste Composite Material
Abstract: Widespread accessibility and abundance of natural fibres are driving forces behind renewed focus on eco-friendly solutions. Researchers have recently begun to focus on natural fibres as reinforcement due to their many advantages over more conventional materials. Natural fibre is an attractive ecological and biodegradable alternative to most common glass fibre, synthetic reinforcement, because of its high specific and low cost mechanical capabilities. India is home to a wealth of untapped …
Published in Journal of Polymer & Composites · Vol. 11, Issue 4, 2023 · pp. 28–36 Read article
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Implementation of Anticipating Rainfall Using Machine Learning
Abstract: Rainfall forecasting is crucial for many aspects of our national economy and should help prevent major seasonal droughts. Since agriculture is a beloved profession in many states, some Asian countries are economically hooked to decline. Previous precipitation info is beneficial. Farmers are cancerous in managing their crops, resulting in economic progress for the country. downfall prediction is hard for earth science scientists because of unordering time and unordered quantity of …
Published in International Journal of Satellite Remote Sensing · Vol. 1, Issue 1, 2023 · pp. 1–8 Read article
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A review on antibacterial properties of eucalyptus oil and different eucalyptus species used in pharmaceuticals
Abstract: Medicinal plants with antimicrobial compounds play a crucial role in combating various pathogens. Eucalyptus, belonging to the myrtle family, is notable for its diverse antimicrobial compounds. This fast-growing plant thrives in many countries and its various parts offer significant medicinal value, including timber, pulpwood, and essential oils. The leaves, often considered forest harvesting waste, contain essential oils with potential medicinal benefits. Members of the genus Eucalyptus are highly valued for …
Published in International Journal of Antibiotics · Vol. 1, Issue 2, 2024 · pp. 10–19 Read article
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Survey of Predictive Models for Safe Route Predicting Using Machine Learning Techniques
Abstract: Safe route prediction is essential for the well-being and security of individuals in urban and rural environments. Machine learning techniques leverage historical data, real-time information, and algorithms to estimate the safety levels of different routes. The objective of safe route planning is to minimize risks, including crime-prone areas and accidents, reducing potential harm, property damage, and emotional distress. However, challenges arise from the complex and dynamic nature of urban environments, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 13–22 Read article
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Freshwater Resources in Delhi: A Decadal Analysis of Land Use Changes
Abstract: The escalating global concern over the pollution of freshwater resources, driven by the amplifying stress and scarcity of freshwater, underscores the significance of this study. The investigation examined the alterations in land use and land cover (LULC) in Delhi, concurrently assessing the coliform count in water sources designated for drinking and other purposes. LANDSAT 7 satellite imagery scrutinized the LULC changes in Delhi over a decade (2011 to 2021) to …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 1, 2024 · pp. 13–22 Read article
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Fire Detection System
Abstract: Fire detection systems are engineered to identify the presence of fire or smoke and notify individuals of possible hazards. These systems employ a range of sensors, such as smoke detectors, heat detectors, flame detectors, and advanced algorithms, to recognize indications of fire inception or spread. When a fire is detected, alarms are activated, facilitating swift responses to minimize dangers and forestall fire incidents.
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 1, Issue 2, 2023 · pp. 29–38 Read article