Search Results - (( java implication based algorithm ) OR ( gis estimation using algorithm ))

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  1. 1

    Accuracy of GeoWEPP in estimating sediment load and runoff from a tropical watershed. by Ebrahimpour, M., K. Balasundram, Siva, Talib, Jamal, Abdul Rahim, Anuar, Memarian, Hadi

    Published 2011
    “…A management file was generated using EPIC algorithm for different land use types and for all hillslopes during the simulation period 1996 - 2008. …”
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    Estimating cabbage production in Cameron Highlands, Malaysia using IKONOS data. by Jusoff, Kamaruzaman

    Published 2009
    “…The algorithm and processing technique developed in this study can easily estimate a production of 25,000 cabbages/ha in Sg Palas area. …”
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  4. 4

    Compression of Three-Dimensional Terrain Data Using Lifting Scheme Based on Second Generation Wavelets by Pradhan, Biswajeet

    Published 2006
    “…Delaunay triangulation and bivariate splines are used to estimate average signal and difference signal. …”
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    Thesis
  5. 5

    Using remote sensing and GIS for assessment of irrigation performance in the Al-Hindiyah Barrage, Babil City, Iraq by Jaber, Hussein Sabah, Mansor, Shattri, Pradhan, Biswajeet, Ahmad, Noordin

    Published 2016
    “…Actual and potential parameters of evapotranspiration used in determination of these indicators were estimated depending on the method of Surface Energy Balance Algorithm for Land (SEBAL) by using a series of Landsat OLI satellite images. …”
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    Semi-automatic oil palm tree counting from pleiades satellite imagery and airborne LiDAR / Nurul Syafiqah Khalid by Khalid, Nurul Syafiqah

    Published 2020
    “…There are three objectives, firstly, to produce tree height estimation by using the Canopy Height Model (CHM). Secondly, to develop the rule sets of watershed transformation segmentation and local maxima algorithm using Pleiades and LiDAR. …”
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    Thesis
  8. 8

    Mapping of the air pollution dispersion in the Klang Valley using remote sensing and GIS techniques / Suharti Ismail by Ismail, Suharti

    Published 2007
    “…The software packages used are mainly Erdas Imagine (digital data processing) and ArcGIS (Kriging technique). …”
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    Thesis
  9. 9

    Using genetic algorithms to optimise land use suitability by Pormanafi, Saeid

    Published 2012
    “…The Erosion Potential Method (EPM) used in erosion estimation and sediment yield of the study. …”
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  10. 10

    The use of radar-rainfall inputs for quantitative precipitation estimation (QPE) in Klang River Basin / Suzana Ramli by Ramli, Suzana

    Published 2015
    “…In order to integrate radar data into any quantitative precipitation estimation, the suitable Z-R equations must be used to produce acceptable results. …”
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  11. 11

    Groundwater quality assessment and optimization of monitored wells using multivariate geostatistical techniques in Amol-Babol Plain, Iran by Narany, Tahoora Sheikhy

    Published 2015
    “…A new optimization approach was proposed for redesign monitoring network wells using optimization algorithm based on the vulnerability of aquifer to contaminations, estimation error of sampling wells, nearest distance between wells, and source of contamination in the study area. …”
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    Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System by Al_Fugara, A’kif Mohammed Salem

    Published 2008
    “…The land use/cover classes were derived from interpreted information of Landsat TM imagery using the combined object-oriented segmentation - fuzzy logic algorithm. …”
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    A Hydrologic Model for Studying the Climate Change Impact on Evapotranspiration and Water Yield in a Humid Tropical Watershed by Nabi, Amjad

    Published 1998
    “…The potentials of Landsat TM image was studied for LA! estimation using vegetation-index (VI) of rainforest, rubber and oil palm plantation. …”
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    Slop failure model based on UAV images using GWR technique / Nor Ziana Mohd Zain by Mohd Zain, Nor Ziana

    Published 2022
    “…A Digital Elevation Model was also created, from which the slope, elevation and aspect were created using the algorithm in ArcGIS software. Geographically Weighted Regression (GWR) provide better prediction for local estimation where four related factors were calculated and extracted from the spatial database and used to analyse slope failure model. …”
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  19. 19

    Soil erosion prediction based on land cover dynamics at the Semenyih watershed in Malaysia using LTM and USLE models by Rizeei, Hossein Mojaddadi, Saharkhiz, Maryam Adel, Pradhan, Biswajeet, Ahmad, Noordin

    Published 2016
    “…This study has shown that using both LTM and USLE in combination with remote sensing and GIS is a suitable method for forecasting LC and accurately measuring the amount of soil losses in the future.…”
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  20. 20

    Application of Machine Learning and Deep Learning Algorithms for Landslide Susceptibility Assessment in Landslide Prone Himalayan Region by Bhattacharya S., Ali T., Chakravortti S., Pal T., Majee B.K., Mondal A., Pande C.B., Bilal M., Rahman M.T., Chakrabortty R.

    Published 2025
    “…This study employs various machine learning and deep learning algorithms, specifically Random Forest (RF), Artificial Neural Network (ANN), and Deep Learning Neural Network (DLNN), to estimate landslide susceptibility in Chamoli district, Uttarakhand, India?…”
    Article