125 research outputs found
Forest Above Ground Biomass (AGB) Estimation and Mapping through High-Resolution Optical Satellite Imagery (≤5 m Spatial Resolution) – A Literature Review
No full text<p>A database of methodology, accuracy and average AGB value published in peer-reviewed forty-four published articles (2004-2019) for forest AGB estimation and mapping using high-resolution satellite imagery</p>
National-Scale Soil Erosion Dataset of Pakistan (2005 and 2015) at 1km Spatial Resolution
No full text<p>Comprehensive assessment of soil erosion dynamics in Pakistan for 2005 and 2015 at 1 km² spatial resolution using the Revised Universal Soil Loss Equation (RUSLE) model and six influencing factors. Soil erosion maps are categorized into four classes: low, medium, high, and very high, revealing an increase from 1.79 to 2.47 ton ha⁻¹ yr⁻¹ on the national level.</p>
<p>The national-scale soil erosion dataset for Pakistan (2005 and 2015) at 1km spatial resolution data is available here:</p>
<p><strong>Citation:</strong></p>
<p>Use of these data require citation of this dataset:</p>
<p>Gilani, Hammad, Ahmad, Adeel, Younes, Isma, & Abbas, Sawaid. (2021). National-scale soil erosion dataset for Pakistan (2005 and 2015) at 1km spatial resolution (1.0) [Dataset]. Zenodo. <a href="https://doi.org/10.5281/zenodo.10694225">https://doi.org/10.5281/zenodo.10694225</a></p>
<p>Original research article:</p>
<p>Gilani, H., Ahmad, A., Younes, I., & Abbas, S. (2021). Impact assessment of land cover and land use changes on soil erosion changes (2005–2015) in Pakistan. <em>Land Degradation & Development, <a target="_blank">33(1):</a></em><a target="_blank">204–217. </a><a href="https://doi.org/10.1002/ldr.4138" target="_blank" rel="noopener">doi.org/10.1002/ldr.4138</a></p>
مشائخ گولڑہ شریف اور مناقب گوئی: MASHIKH GOLRA SHARIF AND MANQIB GOOI
No full textThe scholarly and literary greatness of Golra Sharif has been proven by the time.Peer Mehr Ali Shah established the literary tradition at "Khanqah Golra" which continues for over a century. It is the fifth generation of Golra Sharif associated with poetry and literature. The scholars of Golra Sharif have written in various genres of poetry.Writing the virtues and honour of one's elders (Manaqib) is an old tradition in poetry, especially in Sufi poetry. Sufis of Chishti order are exemplary in this genre, and the same tradition is prominent in the work of Golra Sharif's poetry. They are more inclined towards "manaqaib" as it is special field of their interest. While monasteries (Khanqahs), in general, are considered like autumn with regards to poetry and literary traditions but in the garden of Golra, it has bloomed into spring.Pir Moeen ul Din Gilani, known as Lala Ji, Pir Nasir Gilani, Pir Moeen ul Haq, Jami Gilani, and Hammad Sadiq have written "Manaqaib" of various personalities. The "Manaqib" of Golra Sharif's scholars shows a colorful array of themes and artistic maturity. By witnessing the "Manaqib" of Golra Sharif's scholars, Khanqah Golra Sharif can be aptly described as a garden of poetry and literatur
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Global drought monitoring with drought severity index (DSI) using Google Earth Engine
No full textUnlike most disasters, drought does not appear abruptly. It slowly builds over time due to the changes in different environmental and climatological factors. It is one of the deadly disasters that has plagued almost every region of the globe since early civilization. Droughts are scientifically being studied with the help of either simple or composite indices. At 500-m spatial resolution, this study presents global scale drought severity index (DSI), a composite index using Moderate Resolution Imaging Spectroradiometer (MODIS), 8-day temporal resolution evapotranspiration (ET), potential evapotranspiration (PET), and normalized difference vegetation index (NDVI). This index is mainly used to identify meteorological droughts and also has proven reliable for studying agriculture droughts. In this study, Google Earth Engine (GEE), a cloud-based geospatial data computational platform, is used for drought mapping and monitoring from 2001 to 2019. For annual DSI spatial maps, the statistical median is computed ranging from − 1 to + 1, which means drought struck or dry regions have values closer to negative, and wet zones have values near to positive. For the validity of DSI results, the findings are compared with available records of droughts struck in previous years. This study declares that continent-wise, Australia, Africa, and Asia have the most extreme and frequent drought events while South America and North America come a close second. Europe is the least affected by this particular weather event when compared to other continents
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Global drought monitoring with big geospatial datasets using Google Earth Engine
No full textDrought or dryness occurs due to the accumulative effect of certain climatological and hydrological variables over a certain period. Droughts are studied through numerically computed simple or compound indices. Vegetation condition index (VCI) is used for observing the change in vegetation that causes agricultural drought. Since the land surface temperature has minimum influence from cloud contamination and humidity in the air, so the temperature condition index (TCI) is used for studying the temperature change. Dryness or wetness of soil is a major indicator for agriculture and hydrological drought and for that purpose, the index, soil moisture condition index (SMCI), is computed. The deviation of precipitation from normal is a major cause for meteorological droughts and for that purpose, precipitation condition index (PCI) is computed. The years when the indices escalated the dryness situation to severe and extreme are pointed out in this research. Furthermore, an interactive dashboard is generated in the Google Earth Engine (GEE) for users to compute the said indices using country boundary, time period, and ecological mask of their choice: Agriculture Drought Monitoring. Apart from global results, three case studies of droughts (2002 in Australia, 2013 in Brazil, and 2019 in Thailand) computed via the dashboard are discussed in detail in this research
Forest Aboveground Biomass Estimation and Mapping through High-Resolution Optical Satellite Imagery—A Literature Review
No full textThis paper provides a comprehensive literature review on forest aboveground biomass (AGB) estimation and mapping through high-resolution optical satellite imagery (≤5 m spatial resolution). Based on the literature review, 44 peer-reviewed journal articles were published in 15 years (2004–2019). Twenty-one studies were conducted in Asia, eight in North America and Africa, five in South America, and four in Europe. This review article gives a glance at the published methodologies for AGB prediction modeling and validation. The literature review suggested that, along with the integration of other sensors, QuickBird, WorldView-2, and IKONOS satellite images were most widely used for AGB estimations, with higher estimation accuracies. All studies were grouped into six satellite-derived independent variables, including tree crown, image textures, tree shadow fraction, canopy height, vegetation indices, and multiple variables. Using these satellite-derived independent variables, most of the studies used linear regression (41%), while 30% used linear multiple regression and 18% used non-linear (machine learning) regression, while very few (11%) studies used non-linear (multiple and exponential) regression for estimating AGB. In the context of global forest AGB estimations and monitoring, the advantages, strengths, and limitations were discussed to achieve better accuracy and transparency towards the performance-based payment mechanism of the REDD+ program. Apart from technical limitations, we realized that very few studies talked about real-time monitoring of AGB or quantifying AGB change, a dimension that needs exploration
From REDD+ MRV Perspective: Comparison of Two Different Forest Management Regimes Using Geospatial Techniques in Ludi Khola Watershed, Gorkha District, Nepal
No full textSelf_reflection_data_anonymised.xlsx
No full textThis excel book contains all the data and analyses carried out as part of the mental health self-reflection research paper. The first tab contains a summary of analyses. Each subsequent tab contains its own analysis. Data has been anonymised and any reference to author institution removed. </p
Preliminary investigation of the effects of long-term dietary intake of genistein and daidzein on hepatic histopathology and biochemistry in domestic cats (Felis catus)
No full textDietary isoflavones have been hypothesised to play a role in hepatic veno-occlusive disease in captive exotic felids, although empirical evidence is lacking. This study aimed to investigate the effect of long-term (>1 year) dietary genistein and daidzein exposure on the hepatic biochemistry and histology of domestic cats. Individual cats were assessed for hepatic enzyme and bile acid production before and after the removal of isoflavones from their diet in the treatment group (n=4), and at the same times in unexposed control animals (n=7). No significant differences were detectable in hepatic biochemistry between treatment and control groups, and all serum values were within the normal reference ranges for domestic cats. Additionally, treatment animals demonstrated slightly greater areas of fibrosis surrounding hepatic venules than control animals, but this difference was not statistically significant. On the basis of the results presented, dietary isoflavones, at the current dose and duration of exposure do not appear to modulate hepatic enzyme production or histological parameters
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