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51 articles for “vegetation mapping”
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The Integration of GPS and Remote Sensing: Vegetation Mapping around Shivpuri City (M.P), India
Abstract: A numbers of park are found in study area such as - Madhav National Park, Chironji Park etc. Integration of GPS and Remote Sensing technologies provide stereo images which allow topographic mapping and the functionality gives not only static display but also analytical process. The Shivpuri district has growth and developmental activities such as building and road construction, agricultural expansion and touristic activities etc. These activities have increased the land …
Published in Journal of Remote Sensing & GIS · Vol. 5, Issue 1, 2014 · pp. 63–67 Read article
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GIS and Remote Sensing in Mapping Aquatic Vegetation, The Food Source of Waterfowl
Abstract: Carrying out time and cost effective field surveys has always been a great concern of ecological studies of a large spatial scale. We studied the possibilities to map the distribution of submerged aquatic vegetation in a shallow lake using satellite imagery. We also went further to investigate the relationship of the predicted biomass per creek and bird densities. The study was carried out with an IKONOS image of the Lauwersmeer …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 4, Issue 2, 2015 · pp. 1–10 Read article
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Geospatial Analysis of Biomass in Lake Region of Kumaun Himalaya, Uttarakhand
Abstract: The present study includes vegetation and forest biomass mapping in the lake region of Kumaun, Uttarakhand, using IRS1C LISSIII satellite data. A total of 11 forest types including forest plantation were mapped, among various forest types analyzed, maximum area exhibited by Banj oak followed by Pine forest. Mean total above-ground biomass values were ranged between 52.1 and 402 t/ha. Mean crown cover and biomass values were computed for selected sites. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 2, Issue 3, 2013 · pp. 1–12 Read article
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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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ASTER Spectral Analysis Based Vegetation Species Identification of the Forest Areas Situated in Ghatsila, Musabani and Dhalbhumgarh
Abstract: Reflectance-converted imagery is a requirement for establishing remote sensing algorithms for mapping vegetation species using their specific absorption and reflectance spectra. The differences among the spectral signatures, the unique patterns of absorption and reflection of visible and infrared energy help the researcher to identify types of plants. During the last few decades remote sensing technology has become increasingly important tool for mapping and inventorying forest resources around the world. Jharkhand …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 2, 2015 · pp. 41–50 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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Comparison of Vegetation and Water Indices Calculated on IRS LISS-3 and IRS-P6 AWiFS Data
Abstract: Remote sensing technologies provide stereo images which allow topographic mapping and the functionality gives not only static display but also analytical process. Vegetation indices and water indices have been proposed over last decades as the most suitable vegetation and water indices for a given remote sensing application. In this research study, the suitability and results show these indices (SVI, NDVI, SWI and NDWI) can apply on LISS-3 and Awifs, more …
Published in Journal of Geotechnical Engineering · Vol. 1, Issue 1, 2014 · pp. 10–14 Read article
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Understanding the Role of Remote Sensing Techniques in Monitoring Air Quality for Effective Adherence to Environmental Impact Assessment Practices in Nigeria
Abstract: The paper reviews the Nigerian Environmental Impact Assessment (EIA) Act, outlining the established air quality thresholds and emission caps for stationary sources. The standard applies to; common pollutants like sulphur dioxide, carbon monoxide, ozone, particulate matter and nitrogen oxides; toxic metals such as arsenic, nickel, cadmium and mercury; as well as volatile organic compounds, ammonia, antimony, zinc, formaldehyde and radon.It also describes the major classifications of remote sensing applications, including …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 2, 2026 Read article
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Vegetation Parameter Derivation for Forest Health Measurement and Stress Detection in a Time Series
Abstract: AbstractThe forest health of Jharkhand is declining for the reasons which includes heavy unscientific mining, climate change, air pollution and increased human activities. Vegetation plays a key role in reducing an ambient temperature, moisture and pollutant capture, energy use and subsequent ground level ozone reduction. There is an urgent need of detailed measurement and monitoring of forest’s health. Modern technological advancement in the field of remote sensing technology enables us …
Published in Research & Reviews : Journal of Ecology · Vol. 4, Issue 3, 2015 · pp. 19–26 Read article
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Emerging Role of Drone Technologies in Environmental Research: Trends, Applications, and Future Directions
Abstract: Unmanned aerial vehicles (UAVs), commonly called drones, have rapidly transformed environmental research and management over the past decade. Their flexibility, improving sensor payloads, and ability to collect high-resolution spatial and temporal data make them powerful tools across disciplines — from biodiversity monitoring and precision agriculture to water quality assessment and disaster response. UAVs bridge the gap between ground-based surveys and satellite remote sensing by offering near-real-time, fine-scale data acquisition that …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 34–42 Read article
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Conservation Prioritization using Multi-criteria Decision Model: A Case Study in Part of Western Himalayan Ecoregion
Abstract: Vegetation and land use map was prepared using the satellite image of IRS-1D LISS III sensor. Four vegetation types were mapped, viz., temperate broadleaf forest, temperate conifer forest, pine forest and degraded forest. Different forest types were characterized for conservation prioritization based on parameters obtained through field sampling and landscape analysis. These parameters were (i) species diversity, (ii) mosaic diversity, (iii) total plant value, and (iv) contagion. The areas of …
Published in Journal of Remote Sensing & GIS · Vol. 5, Issue 1, 2014 · pp. 16–26 Read article
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Vegetation Studies Using VIs, TIR, LULC and OCCs: Review
Abstract: Utilizing remote sensing images for vegetation cover mapping can prove a major role in finding an economical mean to analyze and observe vegetation cover changes over a large area. Easy algorithms in form of vegetation indices can be helpful for impactful evaluations of same. SAVI index can help for estimating accurately biomass aboveground in dry forest areas. Thermal infrared remote sensing data can be further utilized to retrieve biophysical & …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 10, Issue 2, 2021 · pp. 32–36 Read article
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From Battlefield to Biodiversity: The Evolution of Drones in Modern Conservation Efforts in Wildlife
Abstract: The rapid advancement of drone technology, encompassing unmanned aerial vehicles (UAVs), unmanned aircraft systems (UAS), and remotely piloted aircraft (RPAs), has significantly impacted various fields, particularly environmental management and wildlife conservation. Originally designed for military use, drones have now become essential tools in ecological research, offering a cost-effective and minimally invasive way to monitor and protect ecosystems. These sophisticated "eco-drones" have revolutionized data collection, especially in hard-to-reach and previously inaccessible …
Published in International Journal on Drones · Vol. 1, Issue 1, 2025 · pp. 8–12 Read article
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Performance of Artificial Neural Network for Tree Species Identification using Sentinel-2 Data
Abstract: Accurate land cover mapping, especially concerning vegetation, is crucial for effective land use policy planning and sustainable forest management. Hence, achieving accuracy in mapping requires a deep understanding of composition changes, vegetation conditions, and the spatial distribution of tree species. In the spatial context of tree species, it holds significant potential for applications including invasive species monitoring, delineating contaminated areas, and biodiversity conservation. However, traditional methods for tree species identification …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 12–21 Read article
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Vegetation Analysis in Kumaun Himalaya using Remote Sensing
Abstract: Vegetation and land use of Kumaun Himalaya was analyzed using remote sensing data. A total of 15 vegetation and land use classes were mapped, of which, eight vegetation types and seven land use categories were identified. Utilizing the knowledge of altitude bound distribution of vegetation digital elevation model (DEM) was used for the post-classification refinements. Forest spreads over 52% of total geographical area, while 48% of the total geographical area …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 3, Issue 1, 2014 · pp. 9–16 Read article
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NDVI An Indicator of Forest Cover Change Detection: A Geospatial Study on Chunati Forest Beat Areas, Chittagong, Bangladesh
Abstract: Chunati Forest Beat Areas (CFBA) consisting of seven reserved forest (RF) blocks/beats of hill forests is located in the countries south-eastern region is facing deforestation problem due to extensive logging and encroachment. Geospatial technology in combination with Remote Sensing and Geographical Information System (GIS) can be used to assess the change of vegetation cover of Chunati Forest Areas. For this study, false color composite of band 4, 3, and 2 …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 1, 2015 · pp. 5–18 Read article
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An Integrated Autonomous Rover-Drone System for Intelligent Exploration and Environmental Monitoring
Abstract: This paper presents a hybrid autonomous exploration platform integrating a ground rover and aerial drone, enhanced by swarm intelligence and a custom-trained YOLO V8 object detection model. The rover is equipped with GPS, IMU, and environmental sensors (DHT11, MQ135, BMP180), while the drone performs real-time aerial mapping and obstacle prediction. A YOLO V8 model, trained on 500 annotated terrain images (six classes: rocks, pits, trees, water, animals, vegetation), achieves a …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 2, 2025 · pp. 43–61 Read article
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Technical Advances in Drone Applications for Environmental Surveillance
Abstract: Unmanned Aerial Vehicles (UAVs), or drones, have rapidly evolved into essential tools for environmental monitoring and conservation due to their advanced sensor integration, real-time data acquisition, and autonomous operational capabilities. This review explores the multidisciplinary convergence of drone technologies with environmental science, emphasizing the technical and engineering aspects that drive these applications. The study outlines key UAV system components—including multispectral and hyperspectral imaging, LiDAR, thermal sensing, and real-time GPS-AI integration—highlighting …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 14–20 Read article
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Power of Optical Sensors in Remote Sensing: A Study
Abstract: Imagine having eyes that could pierce the veil of the visible, discerning the subtle whispers of light beyond the spectrum our everyday vision allows. This isn't a superpower from science fiction, but the very essence of optical sensors in remote sensing – our planet's watchful, silent sentinels, meticulously translating the electromagnetic symphony into actionable insights. Optical sensors, operating within the visible, near-infrared, and short-wave infrared portions of the electromagnetic spectrum, …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 29–36 Read article
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Use of LANDSAT ETM + Data for Detection of Prosopis juliflora in Irrigated Zones
Abstract: Prosopis juliflora (PJ) can be used as a relevant indicator for integrated management of irrigated saline soil in arid zones. Remotely Sensed Landsat Enhanced Thematic Mapper Plus (ETM+) dataset was used for detection and delineation of areas under PJ. The vegetation densities were classified using normalized difference vegetation index (NDVI) whereas soil moisture levels were estimated based on distribution of soil wetness index (SWI). The classified NDVI map was combined …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 1, 2013 · pp. 36–47 Read article