scholarly journals Gis-Based Accuracy Assessment of Global Geopotential Models: A Case Study of Egypt

2018 ◽  
Vol 7 (4) ◽  
pp. 118-124 ◽  
Author(s):  
Ahmed El Shouny ◽  
Essam M. Al-Karagy ◽  
Hoda F. Mohamed ◽  
Gomaa M. Dawod
Keyword(s):  
Accuracy Assessment ◽  
Geopotential Models

scholarly journals Coupling Uncertainties with Accuracy Assessment in Object-based Slum Detections, Case Study: Jakarta, Indonesia

2017 ◽  
Author(s):  
Jati Pratomo ◽  
Monika Kuffer ◽  
Javier Martinez ◽  
Divyani Kohli
Keyword(s):  
Land Tenure ◽  
Classification Accuracy ◽  
Accuracy Assessment ◽  
False Negative ◽  
National Policy ◽  
True Positive ◽  
True Negative ◽  
Object Based ◽  
The Impact

Object-Based Image Analysis (OBIA) has been successfully used to map slums. In general, the occurrence of uncertainties in producing geographic data is inevitable. However, most studies concentrated solely on assessing the classification accuracy and neglecting the inherent uncertainties. Our research analyses the impact of uncertainties in measuring the accuracy of OBIA-based slum detection. We selected Jakarta as our case study area, because of a national policy of slum eradication, which is causing rapid changes in slum areas. Our research comprises of four parts: slum conceptualization, ruleset development, implementation, and accuracy and uncertainty measurements. Existential and extensional uncertainty arise when producing reference data. The comparison of a manual expert delineations of slums with OBIA slum classification results into four combinations: True Positive, False Positive, True Negative and False Negative. However, the higher the True Positive (which lead to a better accuracy), the lower the certainty of the results. This demonstrates the impact of extensional uncertainties. Our study also demonstrates the role of non-observable indicators (i.e., land tenure), to assist slum detection, particularly in areas where uncertainties exist. In conclusion, uncertainties are increasing when aiming to achieve a higher classification accuracy by matching manual delineation and OBIA classification.

Stratified even sampling method for accuracy assessment of land use/land cover classification: a case study of Beijing, China

2020 ◽  
Vol 41 (16) ◽  
pp. 6427-6443
Author(s):  
Shiwei Dong ◽  
Ziyue Chen ◽  
Bingbo Gao ◽  
Hui Guo ◽  
Danfeng Sun ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Sampling Method ◽  
Accuracy Assessment ◽  
Land Cover Classification ◽  
Land Use Land Cover ◽  
Beijing China
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