"Accuracy Assessment of Land Use/Land Cover Classification Using Remote Sensing and GIS"
written by Sophia S. Rwanga, J. M. Ndambuki,
published by International Journal of Geosciences, Vol.8 No.4, 2017
has been cited by the following article(s):
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[3] Land Use and Land Cover Dynamics and Assessing the Ecosystem Service Values in the Trans-Boundary Gandaki River Basin, Central Himalayas
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[4] MAPPING OF LOTUS DISTRIBUTIONS USING SENTINEL-2 SATELLITE IMAGERY IN TASIK CHINI
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[5] A new spectral index for the extraction of built-up land features from Landsat 8 satellite imagery
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[6] Land-Cover Change Analysis and Simulation in Conakry (Guinea), Using Hybrid Cellular-Automata and Markov Model
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[7] Assessing the drivers of land use change in the Rumpi hills forest protected area, Cameroon
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[8] Translating Climate Science into Policy Making in the Water Sector for the Vu
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[9] Classification and Mapping of Land Use Land Cover change in Kanyakumari district with Remote Sensing and GIS techniques
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[10] Lithostratigraphic Classification Method Combining Optimal Texture Window Size Selection and Test Sample Purification Using Landsat 8 OLI Data
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[11] Improving Land Use/Land Cover Classification by Integrating Pixel Unmixing and Decision Tree Methods
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[12] Accuracy assessment model for classification result of remote sensing image based on spatial sampling
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