Showing 81 - 100 results of 471 for search 'Geospatial analyzed', query time: 0.07s Refine Results
  1. 81

    Soil loss estimation using RUSLE model and geospatial technologies in Gulufa Watershed, Dabus Sub-basin, West Ethiopia by Abdeta Tolassa Fayisa, Wondafrash Genet Degu, Ajay Babu Gangidi, Dessalegn Obsi Gemeda

    Published 2025-12-01
    “…This, in turn, affects social, economic, and ecological systems, particularly in mountainous areas like Ethiopia. This study aimed to analyze the amount of annual soil loss within the Gulufa watershed of Dabus sub-basin using the integration of the Revised Universal Soil Loss Equation (RUSLE) model and geospatial technologies. …”
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    Article
  2. 82

    Spatial Evolution and Driving Mechanisms of Vegetation Cover in China’s Greater Khingan Mountains Based on Explainable Geospatial Machine Learning by Zihao Wang, Bing Wang, Qiuliang Zhang, Changwei Lü

    Published 2025-07-01
    “…This study introduced a KNDVI-XGeoML framework integrating the Kernel NDVI and explainable geospatial machine learning to analyze the FVC dynamics and the mechanisms driving their spatial differentiation in China’s Greater Khingan Mountains, based on which targeted ecological management strategies were proposed. …”
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    Integrated Geospatial Characterization of Geomorphological and Structural Features in Parts of Enugu, Southeastern Nigeria: Implications for Regional Geology and Land Use by Nkiru Nwokeabia Charity, Ifeanyi Odoh Benard, Arinzechukwu Odinye, Callista Igwebudu Nwanneka, Peter Ezealaji Ifeanyi

    Published 2025-05-01
    “…This comprehensive analysis integrates multiple geospatial and geomorphological features to offer a holistic understanding of land use dynamics and development constraints in Enugu Local Government Areas (LGAs), providing a basis for informed decision-making in regional planning.…”
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  5. 85

    Assessing the impact of climate change on flood patterns in downstream Nigeria using machine learning and geospatial techniques (2018–2024) by Desmond R. Eteh, Bunakiye R. Japheth, Charles U. Akajiaku, Ifunanya Osondu, Omabuwa O. Mene-Ejegi, Emmanuel M. Nwachukwu, Miebaka D. Oriasi, Erepamo J. Omietimi, Abiodun E. Ayo-Bali

    Published 2025-07-01
    “…Abstract Climate change has increased flood risks in downstream Nigeria, driven by altered hydrology, dam operations, and land-use changes threatening infrastructure, livelihoods, and ecosystem stability with growing frequency and severity. This study analyzes flood patterns, identifies key environmental drivers, and predicts flood-prone areas through an integrated machine learning and geospatial analysis approach. …”
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    Exploring geo-transferability of deep neural network by developing comprehensive metrics by Junxian Yu, Wei Tu, Xiana Chen, Mingxiao Li, Dongsheng Chen, Rui Cao, Qingquan Li

    Published 2025-05-01
    “…The presented approach was experimentally analyzed in the Guangdong-Hong Kong-Macao Greater Bay Area by taking the urban village recognition as an example. …”
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  8. 88

    Optimizing Geospatial Data for ML/CV Applications: A Python-Based Approach to Streamlining Map Processing by Removing Irrelevant Areas by David Kasperek, Michal Podpora

    Published 2024-12-01
    “…The research results of the paper reveal substantial file size reduction, and improved processing efficiency, thus making the optimized geospatial graphical data more practical for ML/CV applications, while still maintaining the original data quality and relevance of the analyzed parcels or infrastructure.…”
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  9. 89

    Modelling transformation and its impact on water quality of the wetlands of lower Gangetic plain: a geospatial approach for sustainable resource management by Saleha Jamal, Md Ashif Ali, Wani Suhail Ahmad

    Published 2025-01-01
    “…From 2003 to 2018, the land use land cover (LULC) and land transformation of wetland areas were computed using geospatial data. The water quality of the wetlands has been measured at different sampling sites in pre- and post-monsoon seasons. …”
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  10. 90

    Glyphosate residue concentrations in honey attributed through geospatial analysis to proximity of large-scale agriculture and transfer off-site by bees. by Carl J Berg, H Peter King, Glenda Delenstarr, Ritikaa Kumar, Fernando Rubio, Tom Glaze

    Published 2018-01-01
    “…Honey taken directly from 59 bee hives on the Hawaiian island of Kaua'i was analyzed for glyphosate residue using ELISA techniques. …”
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    Synthetic geospatial data and fake geography: A case study on the implications of AI-derived data in a data-intensive society by Antonello Romano

    Published 2025-06-01
    “…This paper presents a case study that aims to analyze and compare original and synthetic geospatial data at the intra-urban scale. …”
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    A Geospatial Approach for the Assessment and Management Prioritization of Philippine Terrestrial Key Biodiversity Areas: Towards Meeting Global Sustainability Targets by M. A. Cruz

    Published 2025-07-01
    “…Key biodiversity areas (KBAs), although without an established legal basis, are important sites that contribute to the persistence of biodiversity. The use of geospatial technology has been proven to be a reliable, cost-effective, and targeted approach for biodiversity conservation and ecological management. …”
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    Telemedicine as a tool for bridging geographical inequity: insights in geospatial interactions from a study on chronic heart failure patients by Alexander Arndt Pasgaard Xylander, Simon Lebech Cichosz, Ole Hejlesen, Flemming Witt Udsen

    Published 2024-10-01
    “…Methods We investigate the presence and magnitude of a geospatial interaction effect on the health benefit of a supplementary telemedicine intervention, by analyzing the relationship between distance to regular place of treatment and the benefit of telemedicine in a secondary analysis of data from a previously conducted RCT. …”
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