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"Accuracy Assessment of Land Use/Land Cover Classification Using Remote Sensing and GIS"
written by Sophia S. Rwanga1,2, J. M. Ndambuki3 ,
published by International Journal of Geosciences, Vol.8 No.4, 2017
has been cited by the following article(s):
[1]
Improving Land Use/Land Cover Classification by Integrating Pixel Unmixing and Decision Tree Methods
Remote Sensing
2017
[2]
Using Landsat and nighttime lights for supervised pixel-based image classification of urban land cover
Remote Sensing of Environment
2018
[3]
LAND USE AND LAND COVER ANALYSIS OF THE SEMI ARID YERLA RIVER BASIN, MAHARASHTRA USING LANDSAT DATA
2018
[4]
Land Use and Land Cover Dynamics and Assessing the Ecosystem Service Values in the Trans-Boundary Gandaki River Basin, Central Himalayas
Sustainability
2018
[5]
MAPPING OF LOTUS DISTRIBUTIONS USING SENTINEL-2 SATELLITE IMAGERY IN TASIK CHINI
2018
[6]
A new spectral index for the extraction of built-up land features from Landsat 8 satellite imagery
Geocarto International
2018
[7]
Land-Cover Change Analysis and Simulation in Conakry (Guinea), Using Hybrid Cellular-Automata and Markov Model
Urban Science
2018
[8]
Assessing the drivers of land use change in the Rumpi hills forest protected area, Cameroon
Journal of Sustainable Forestry
2018
[9]
Accuracy assessment model for classification result of remote sensing image based on spatial sampling
Journal of Applied Remote Sensing
2017
[10]
Translating Climate Science into Policy Making in the Water Sector for the Vu
2018
[11]
Classification and Mapping of Land Use Land Cover change in Kanyakumari district with Remote Sensing and GIS techniques
International Journal of Applied Engineering Research [IJAER]
2018
[12]
Lithostratigraphic Classification Method Combining Optimal Texture Window Size Selection and Test Sample Purification Using Landsat 8 OLI Data
Open Geosciences
2018
[14]
Forest management and sustainable urban development in the Curonian Spit
2019
[15]
Land Use/Land Cover Modeling of Sagar Island, India Using Remote Sensing and GIS Techniques
2019
[17]
Comparison of Support Vector Machine and Maximum Likelihood Classification in and around Granite Quarries
Proceedings of the AfricaGEO 2018 Conference,
2018
[18]
Basil leaves disease classification and identification by incorporating survival of fittest approach
2019
[19]
Journal of Remote Sensing & GIS
2018
[20]
Detection of Land Use and Land Cover Changes: A Case Study of Kumbur River Basin
2018
[25]
Proactive Management of Ecosystem Services in Oil Sands Pre-mining Phase
2019
[27]
Karakteristik Spasial Urban Heat Island (UHI) dengan Karakteristik Lahan di Kota Depok
Seminar Nasional Geografi dan Pembangunan Berkelanjutan
2018
[29]
Pendeteksian Wilayah Impervious Surface Area (ISA) Sebagai Analisis Dampak Lingkungan di Kota Depok Menggunakan Citra Landsat-8 OLI/TIRS
Seminar Nasional Penginderaan Jauh ke-5 Tahun 2018
2018
[32]
Geospatial Analysis of Slum Growth Using Multi-Temporal Satellite Imagery in Ranchi, India
International Journal of Recent Technology and Engineering
2019
[34]
Identifikace změn v krajině na základě družicových dat
2019
[35]
New Template Matching Method for Subpixel Mapping of Linear Feature Mixed Pixels
2019
[38]
The Spatial and Temporal Land Cover Patterns of the Qazaly Irrigation Zone (Syrdarya River's Lower Reaches, Kazakhstan) for 2003–2018
Sustainability
2019
[39]
Evaluation of Land Use Maps Using Remote Sensing and GIS
2018
[43]
Assessing Land Use and Land Cover Change in the Keta Municipality of Ghana Using Remote Sensing
2019
[44]
'Impact of Urbanization on Temporal Distribution Pattern of Storm Runoff Coefficient
2019
[45]
Multivariate Statistical Approach for Evaluating Groundwater Quality in Sathyavedu Area, Chittoor District (Andhra Pradesh, India)
Journal of Indian Geophysical Union
2019
[46]
Urban Expansion in Ethiopia from 1987 to 2017: Characteristics, Spatial Patterns, and Driving Forces
2019
[50]
Deforestation impact on ecosystem services in Kamfinsa sub-catchment of Kafue River Basin in Zambia
2019
[53]
Comparison of Landsat and ASTER in Land Cover Change Detection within Granite Quarries.
2018
[57]
Raspoznavanje tipa terena na temelju satelitskih snimki
2019
[58]
多源数据结合的高分一号土地利用/覆盖分类方法研究
2019
[59]
Analyse der geometrischen Genauigkeit von 3D-Gebäudemodellen anhand von LIDAR-Daten
Thesis
2018
[60]
Landslide susceptibility and influencing factors analysis in Rwanda
2019
[62]
Prediction of Land Use/Cover Change in the Congo Nile Ridge Region of Rwanda
The 5th ICEED, KIGALI-RWANDA-UNILAK
2018
[64]
Expansion of Impervious Surfaces and Their Driving Forces in Highly Urbanized Cities in Kyrgyzstan
2020
[66]
Landuse/Landcover mapping and monitoring using Remote sensing and GIS with environmental integration
2019
[67]
Spatial Distribution of Land Use/Land Cover Analysis in Hanamkonda Taluk, Telangana-A Case Study
2019
[70]
Land use Land Cover Change Detection using K-means Clustering and Maximum Likelihood Classification Method in the Javadi Hills, Tamil Nadu, India
International Journal of Engineering and Advanced Technology
2019
[71]
A comprehensive scheme for lithological mapping using Sentinel-2A and ASTER GDEM in weathered and vegetated coastal zone, Southern China
Open Geosciences
2019
[73]
Salinity intrusion in southwest coastal Bangladesh: an insight from land use change
2020
[75]
Assessing the conversion between agricultural and built-up area in the Vu Gia-Thu Bon river basin
2020
[79]
Research on Land Use/Cover Classification Based on GF-1 and Multi-Source Data Combination
2019
[83]
Sensitivity of hydrology and water quality to variation in land use and land cover data
2020
[85]
Automatic Extraction of Buildings from UAV-Based Imagery Using Artificial Neural Networks
2020
[86]
Google Earth Engine: Application Of Algorithms For Remote Sensing Of Crops In Tuscany (Italy)
2020
[88]
Estimation and Validation of Enhanced Resolution Brightness Temperature Products of SCATSAT-1
2020
[89]
Spatiotemporal analysis of land-use and land-cover changes in Kainji Lake National Park, Nigeria
2020
[90]
Automatic classification of fine-scale mountain vegetation based on mountain altitudinal belt
2020
[92]
Coupling SWAT and bathymetric data in modelling reservoir catchment hydrology
[93]
Mapping Coastal Dune Landscape through Spectral Rao's Q Temporal Diversity
2020
[94]
The role of physiography and land suitability in the distribution of rubber plantation in Tripura
[96]
Analysis of the Impact of Built Environment on Coastline Ecosystem Services and Values
2020
[97]
Google earth engine application for estimating changes in water surface area of Lake Toba
2020
[99]
Environmental Analysis of Land Use and Land Change of Najran City: GIS and Remote Sensing
2020
[100]
Assessing Earthquake-Induced Urban Rubble by Means of Multiplatform Remotely Sensed Data
2020
[105]
Can we locate shrimp aquaculture areas from space?–A case study for Thailand
2020
[107]
Evaluation of Classification Techniques for Land Use Change Mapping of Indian Cities
2020
[112]
Assessment of land use change in Bedadung Jember watershed using landsat-8 satellite imagery
2020
[119]
Forest Loss and Susceptible Area Prediction at Sefwi Wiawso District (SWD), Ghana
2020
[121]
Enhanced mapping of a smallholder crop farming landscape through image fusion and model stacking
2020
[125]
Urbanization Change Analysis based on SVM and RF Machine Learning Algorithms
2020
[128]
Image classification using higher-order statistics-based ICA for NOAA multispectral satellite image
2020
[136]
基于遥感影像的甘达基流域博卡拉和巴拉普尔的土地利用变化及其驱动力研究
2020
[137]
Predicción de la pérdida de la cobertura vegetal por aumento de áreas urbanas en Iquitos, Perú
2019
[138]
Turnasuyu Havzası'nda (Ordu) Arazi Kullanımının Zamansal Değişimi
[139]
探討颱風特性於農損及坡地災害遙測影像辨識之研究
2020
[140]
Soil loss and runoff modification caused by land use change in the Conchos river basin, Chihuahua
2020
[141]
ارزیابی چندزمانه تغییرات جنگلهای مانگرو در مناطق ساحلی بوشهر با استفاده از تصاویر ماهواره لندست
2019