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  1. 41

    Estimating Wheat Chlorophyll Content Using a Multi-Source Deep Feature Neural Network by Jun Li, Yali Sheng, Weiqiang Wang, Jikai Liu, Xinwei Li

    Published 2025-07-01
    “…Unmanned aerial vehicles (UAVs), characterized by high flexibility, spatial resolution, and operational efficiency, have emerged as effective tools for estimating chlorophyll content in wheat. …”
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    Article
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    Preserving Spatial Patterns in Point Data: A Generalization Approach Using Agent-Based Modeling by Martin Knura, Jochen Schiewe

    Published 2024-11-01
    “…Visualization and interpretation of user-generated spatial content such as Volunteered Geographic Information (VGI) is challenging because it combines enormous data volume and heterogeneity with a spatial bias. …”
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    Spatial and temporal distribution of potentially toxic elements and human health risk assessment in the gold mining area of Santa Rosa, Southern Ecuador by Cindy Goyburo-Chávez, Karla Villamar-Marazita, Cristhian Aguilar-Aguilar, Ana Gonzalez-Valoys, Samantha Jiménez-Oyola

    Published 2025-08-01
    “…Multivariate statistical analyses were conducted to identify patterns and significant relationships within the dataset. The spatial and temporal distribution of PTEs was assessed using geographic information systems. …”
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  6. 46

    High-Resolution Mapping of Topsoil Sand Content in Planosol Regions Using Temporal and Spectral Feature Optimization by Jiaying Meng, Nanchen Chu, Chong Luo, Huanjun Liu, Xue Li

    Published 2025-02-01
    “…Therefore, its high-precision spatial distribution information is of great importance for agricultural resource management and land use. …”
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    Article
  7. 47

    Storm‐Time Modeling of the African Regional Ionospheric Total Electron Content Using Artificial Neural Networks by Daniel Okoh, John Bosco Habarulema, Babatunde Rabiu, Gopi Seemala, Joshua Benjamin Wisdom, Joseph Olwendo, Olivier Obrou, Tshimangadzo Merline Matamba

    Published 2020-09-01
    “…The storm criterion used was |Dst| ≥ 50 nT and Kp ≥ 4. We have utilized Global Positioning System (GPS) observations from 2000 to 2018 from about 252 receivers over the African continent and surroundings within spatial coverage of 40°S–40°N latitude and 25°W–60°E longitude. …”
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  8. 48

    Features of the Influence of the Arrangement of Parts in the Chamber of Installation During Vacuum Arc Deposition on the Properties of Coatings by Catherine Sotova, Marina Volosova, Alexey Vereschaka, Yuri Bublikov, Filipp Milovich, Anton Seleznev, Ilya Shmakov, Sergey Grigoriev

    Published 2024-11-01
    “…The effect of the spatial arrangement in the physical vapor deposition (PVD) chamber on the composition and properties of coatings is considered using the example of the deposition of the (Ti,Al)N coating. …”
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  9. 49

    Mapping Spatial Variability of Sugarcane Foliar Nitrogen, Phosphorus, Potassium and Chlorophyll Concentrations Using Remote Sensing by Ericka F. Picado, Kerin F. Romero, Muditha K. Heenkenda

    Published 2025-01-01
    “…Leaf chlorophyll content was measured in the field using an N-Tester chlorophyll meter, and leaf samples were collected and analyzed in the laboratory for N, P and K. …”
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  10. 50

    Spatial variability of hydraulic parameters of a cropped soil using horizontal crosshole ground penetrating radar by Lena Lärm, Lutz Weihermüller, Jan Rödder, Jan van derKruk, Harry Vereecken, Anja Klotzsche

    Published 2025-01-01
    “…Therefore, sequential inversion of the GPR‐derived SWCs was performed using the hydrological model HYDRUS‐1D, whereby the SWC data were either averaged prior inversion or used in a spatially distributed way. …”
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  11. 51

    O relevo na interpretação da variabilidade espacial dos teores de nutrientes em folha de citros Landrelief in the interpretation of spatial variability of nutrient content in citru... by Marisol G. A. de Leão, José Marques Júnior, Zigomar M. de Souza, Diego S. Siqueira, Gener T. Pereira

    Published 2010-11-01
    “…<br>Foliar diagnosis is a method for assessing the nutritional status of agricultural crops, which helps in the understanding of soil fertility and rationalized application of fertilizers taking into account economic and environmental criteria. The study aimed to use the landrelief as criteria to assist in interpreting the spatial variability of nutrient content of the citrus leaf. …”
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  12. 52

    Land use and soil organic matter in South Africa 1: A review on spatial variability and the influence of rangeland stock production by Chris du Preez, Cornie van Huyssteen, Pearson Mnkeni

    Published 2011-05-01
    “…Degradation of soil as a consequence of land use poses a threat to sustainable agriculture in South Africa, resulting in the need for a soil protection strategy and policy. …”
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    Optimizing Jatropha curcas bioenergy plantations in Pakistan: A geospatial suitability analysis using advanced spatial modeling by Faisal Khalid, Sami Ullah, Sangam Khalil, Adnan Yousaf, Muhammad Shafique, Muhammad Tayyab Khan, Fariha Rehman, Nauman Ahmad, Khalil Ur Rahman, Majid Hussain

    Published 2024-12-01
    “…We conclude that the methods used in this study provided a considerably reliable estimate of suitable sites for JC production in Pakistan. …”
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  16. 56

    Precision and Characteristics of Satellite Spatial Quality Estimators’ Measurement Using an Edge Target Imaged with KOMPSAT-3A by Donghan Lee, Daesoon Park, Daehoon Yoo

    Published 2024-12-01
    “…This is the first statistical comparison of spatial quality estimators using 7 years of ground Edge target imagery from a single satellite of KOMPSAT-3A.…”
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    Soil Moisture Content Prediction Using Gradient Boosting Regressor (GBR) Model: Soil-Specific Modeling with Five Depths by Tarek Alahmad, Miklós Neményi, Anikó Nyéki

    Published 2025-05-01
    “…Monitoring soil moisture content (SMC) remains challenging due to its spatial and temporal variability. …”
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  20. 60

    Spatial–Temporal Pattern of Urban Land Green Use Efficiency and Its Influencing Factors in Guizhou Province, China, Based on County Units by Zhongchun Xu, Hongqin Chen, Wei Song

    Published 2024-12-01
    “…In terms of the numbers, there was a gradual downward trend in the number of high-efficiency cities. (2) Based on the spatial evolution characteristics, there was a positive correlation in the ULGUE among county cities in Guizhou Province, and the high- and low-value areas were comparatively more widely located in the central–east and west sides of Guizhou Province, respectively. (3) Among the factors influencing the level of the ULGUE, the level of economic development, industrial structure upgrading, and environmental regulation mainly played a positive facilitating role, while the material standard of living of the population, the GDP content, the green development level, government financial support, and the population size played a negative inhibiting role. …”
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