MODIFICATION OF NEW BUILT-UP INDEX TO PRECISELY EXTRACT AND IDENTIFY CHANGES IN THE BUILT-UP AREA: A CASE STUDY OF PUNJAB STATE OF INDIA

Q4 Earth and Planetary Sciences

Geodeziya i Kartografiya Pub Date : 2023-03-06 DOI:10.3846/gac.2023.13523

Suraj Shaikh, Rakesh Paliwal, Abhijit S. Patil, S. Panhalkar, M. Palanisamy

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引用次数: 0

Abstract

Remote sensing is very useful for mapping and managing earth resources. The application of this technique has been widely used and proven useful in assessing temporal changes. The indices are used to distinguish different complex land covers, but there are still difficulties with distinguishing specific land covers. Therefore, the prime aim of this present investigation is to identify the changes in the built-up area using a modified new built-up index (MNBUI). The MNBUI is developed using the reference of four earlier developed indices. The built-up area of Punjab state is extracted from 2013 and 2017 year remote sensing satellite data using MNBUI. The result shows MNBUI is more accurate in terms of built-up area extraction as compared to the other two indices – New Built-up Index and built-up index models. The accuracy assessment is carried out to evaluate the accuracy of MNBUI with a random sampling technique. The mapping accuracy reported is 95% and 0.9333 in terms of overall accuracy (OA) and kappa coefficient (π) respectively.

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修正新建成区指数以精确提取和识别建成区变化——以印度旁遮普邦为例

遥感在测绘和管理地球资源方面非常有用。该技术的应用已被广泛使用，并被证明在评估时间变化方面是有用的。这些指标用于区分不同的复杂土地覆被，但在区分具体的土地覆被方面仍然存在困难。因此，本调查的主要目的是使用改进的新建筑指数(MNBUI)来确定建成区的变化。MNBUI是参考早先开发的四个指数开发的。使用MNBUI从2013年和2017年的遥感卫星数据中提取了旁遮普邦的建成区。结果表明，与新建成区指数和建成区指数模型相比，MNBUI在建成区提取方面具有更高的准确性。采用随机抽样技术对MNBUI的精度进行了评估。总体精度(OA)为95%，kappa系数(π)为0.9333。

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来源期刊

Geodeziya i Kartografiya Earth and Planetary Sciences-Earth-Surface Processes

CiteScore

0.60

自引率

0.00%

发文量