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10 articles for “vegetation indices (VIs)”
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Effect of Slope on Estimating Tree Biomass using Satellite Data in Belasitsa Mountain Forest, Bulgaria
Abstract: 800x600 Remote sensing of above ground tree biomass (AGTB) in rugged and mountainous forest sites incurs uncertainties in accuracy due to the influences of various bio-physical and topographic factors. Particularly slope is an important factor affecting the accuracy of remote sensing AGTB. This study investigates how slope affects the estimation of above ground tree biomass using vegetation indices (VIs) calculated from an ASTER image in the Belasitsa Mountain forest in …
Published in Journal of Remote Sensing & GIS · Vol. 5, Issue 3, 2014 · pp. 17–30 Read article
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Monitoring Recent Vegetation Greenness Trend Impacted from Past Drought Events in Northern Arizona with AVIRIS and MODIS
Abstract: Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 Northern Arizona has experienced a severe drought with significant impacts on various ecosystems. There have been extensive mortality and bark beetle insect population in conjunction with the multi-year drought. We evaluated remotely-sensed drought indicator with Airborne Visible Infra-Red Imaging Spectrometer (AVIRIS) hyperspectral data flown across the C. Hart Merriam Transect in northern Arizona and MODIS multispectral sensor. Drought impacts on vegetation …
Published in Journal of Remote Sensing & GIS · Vol. 2, Issue 1, 2011 · pp. 23–33 Read article
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Utilization of Egg Yolk as A Non-Toxic Emulsifier in Environmentally Friendly Invert Emulsion Drilling Mud
Abstract: Vegetable oil such as Jatropha has been shown to be a comparable alternative to diesel and mineral oils for environmentally friendly oil based drilling mud. However compatibility of the vegetable oils with the usual chemical additives is still a major challenge that calls for compatible and non-toxic substitutes. This study examined the suitability of hen egg yolk as a non-toxic emulsifier in invert emulsion drilling mud using vegetable oil continuous …
Published in Journal of Petroleum Engineering & Technology · Vol. 6, Issue 1, 2016 · pp. 41–49 Read article
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Spectral Response of Winter Crops Using Multi-temporal Sentinel-2 MSI Data in Visnagar Taluka, Gujarat State
Abstract: Developing Countries like India has more than half of the population engaged in fishery, agriculture etc. and agriculture drives the economy of the Nation. Traditional survey methods are tedious and time consuming, however, with advancement in Remote Sensing Technology data for Agriculture monitoring can be obtained at local and regional scale. The present study demonstrates the use of multi-year multi-date Sentinel-2 MSI data for winter crop monitoring in in Visnagar …
Published in Journal of Remote Sensing & GIS · Vol. 11, Issue 3, 2020 · pp. 56–65 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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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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The Use of Satellite Imagery in Estimating Aboveground and Belowground Biomass of Aquatic Vegetation, The Food Source of Waterfowl
Abstract: 800x600 In this research we studied the possibilities to estimate the biomass of aquatic vegetation in a shallow lake using IKONOS image. IKONOS-2 image, with one infrared and three visible bands, was obtained on the 19th of August 2005. The study was carried out in the Lauwersmeer (The Netherlands) that Bewick’s swans use as an autumn staging site to forage on the belowground biomass of fennel pondweed. This research gave …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 2, 2015 · pp. 33–40 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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A Study on Cancer Related Fatigue and Quality of Life (QOL) among Women Undergoing Treatment for Various Cancers in Selected Tertiary Care Hospitals of Ludhiana, Punjab
Abstract: Cancer is a collection of illnesses marked by irregular cell proliferation that has the potential to infiltrate or metastasize to different areas of the body. Gynecological cancer specifically refers to the abnormal cell growth in the female reproductive tract, including various organs such as the endometrium, fallopian tubes, ovaries, uterus, cervix, vagina, and breast. These cancer cells have a tendency to multiply uncontrollably. The majority of individuals diagnosed with cancer …
Published in International Journal of Oncological Nursing and Practices · Vol. 1, Issue 1, 2023 · pp. 6–11 Read article
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Deep Learning for Earth Observation Using Satellite Imagery: A Comprehensive Review
Abstract: Earth observation (EO) satellites provide continuous, large-scale information about the Earth's land, oceans, atmosphere, vegetation, infrastructure, and environmental conditions. The rapid growth of multispectral, hyperspectral, synthetic aperture radar (SAR), thermal, and high- resolution satellite missions has generated large volumes of heterogeneous spatial and temporal data. Conventional image-processing and machine-learning techniques often require manually designed features and may have difficulty representing the complex spatial, spectral, temporal, and multimodal characteristics of satellite …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article