Contextual classification of Cropcam UAV high resolution images using frequency-based approach for land use/land cover mapping case study: Penang Island

2011 ◽  
Author(s):  
Faez M. Hassan ◽  
M.Z. Mat Jafri ◽  
H.S. Lim
Keyword(s):  
Land Use ◽  
High Resolution ◽  
Land Cover ◽  
Land Cover Mapping ◽  
Land Use Land Cover ◽  
High Resolution Images

scholarly journals Integrating elevation data and multispectral high-resolution images for an improved hybrid Land Use/Land Cover mapping

2017 ◽  
Vol 50 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Mirco Sturari ◽  
Emanuele Frontoni ◽  
Roberto Pierdicca ◽  
Adriano Mancini ◽  
Eva Savina Malinverni ◽  
...  
Keyword(s):  
Land Use ◽  
High Resolution ◽  
Land Cover ◽  
Land Cover Mapping ◽  
Land Use Land Cover ◽  
Elevation Data ◽  
High Resolution Images

scholarly journals A comparison and classification of land use land cover to estimate their effect on environment: case study in Baghdad city

2021 ◽  
Vol 2114 (1) ◽  
pp. 012017
Author(s):  
Bushra A. Ahmed ◽  
Ghaida S. Hadi
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Satellite Image ◽  
Major Change ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Two Cities ◽  
Landsat Satellite

Abstract This study compared and classified of land use and land cover changes by using Remote Sensing (RS) and Geographic Information Systems (GIS) on two cities (Al-Saydiya city and Al-Hurriya) in Baghdad province, capital of Iraq. In this study, Landsat satellite image for 2020 were used for (Land Use/Land Cover) classification. The change in the size of the surface area of each class in the Al-Saydiya city and Al-Hurriya cities was also calculated to estimate their effect on environment. The major change identified, in the study, was in agricultural area in Al-Saydiya city compare with Al-Hurriya city in Baghdad province. The results of the research showed that the percentage of the green area from the total area in Al-Saydiya city is 34.95%, while in Al-Hurriya is 27.53%. Therefore, available results of land use and land cover changes can provide critical input to decision-making of environmental management and planning the future.

scholarly journals Hyperspectral Data for Land use/Land cover classification

2014 ◽  
Vol XL-8 ◽  
pp. 991-995 ◽  
Author(s):  
D. Vijayan ◽  
G. Ravi Shankar ◽  
T. Ravi Shankar
Keyword(s):  
Land Use ◽  
High Resolution ◽  
Land Cover ◽  
Classification Systems ◽  
Land Use Land Cover ◽  
High Resolution Data ◽  
Liss Iii ◽  
Hyperion Image ◽  
Resolution Data

An attempt has been made to compare the multispectral Resourcesat-2 LISS III and Hyperion image for the selected area at sub class level classes of major land use/ land cover. On-screen interpretation of LISS III (resolution 23.5 m) was compared with Spectral Angle Mapping (SAM) classification of Hyperion (resolution 30m). Results of the preliminary interpretation of both images showed that features like fallow, built up and wasteland classes in Hyperion image are clearer than LISS-III and Hyperion is comparable with any high resolution data. Even canopy types of vegetation classes, aquatic vegetation and aquatic systems are distinct in Hyperion data. Accuracy assessment of SAM classification of Hyperion compared with the common classification systems followed for LISS III there was no much significant difference between the two. However, more number of vegetation classes could be classified in SAM. There is a misinterpretation of built up and fallow classes in SAM. The advantages of Hyperion over visual interpretation are the differentiation of the type of crop canopy and also crop stage could be confirmed with the spectral signature. The Red edge phenomenon was found for different canopy type of the study area and it clearly differentiated the stage of vegetation, which was verified with high resolution image. Hyperion image for a specific area is on par with high resolution data along with LISS III data.

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