Impact assessment of land-use alteration on land surface temperature in Kabul using machine learning algorithm

IF 1 4区地球科学 Q4 GEOGRAPHY, PHYSICAL

Journal of Spatial Science Pub Date : 2024-06-27 DOI:10.1080/14498596.2024.2364283

Sajid Ullah, Mohsin Abbas, Xiuchen Qiao

引用次数: 0

Abstract

This research evaluates the impact of LULC changes on LST of Kabul City, Afghanistan using Landsat data and Machine Learning Algorithm. The Cellular Automata Markov (CA-Markov) and Artificial Neura...

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利用机器学习算法评估土地利用变化对喀布尔地表温度的影响

本研究利用大地遥感卫星数据和机器学习算法评估了土地利用、土地利用的变化对阿富汗喀布尔市土地ST的影响。蜂窝自动机马尔科夫（CA-Markov）和人工神经网络（Artificial Neura...

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来源期刊

Journal of Spatial Science 地学-地质学

CiteScore

5.00

自引率

5.30%

发文量

审稿时长

>12 weeks

期刊介绍： The Journal of Spatial Science publishes papers broadly across the spatial sciences including such areas as cartography, geodesy, geographic information science, hydrography, digital image analysis and photogrammetry, remote sensing, surveying and related areas. Two types of papers are published by he journal: Research Papers and Professional Papers. Research Papers (including reviews) are peer-reviewed and must meet a minimum standard of making a contribution to the knowledge base of an area of the spatial sciences. This can be achieved through the empirical or theoretical contribution to knowledge that produces significant new outcomes. It is anticipated that Professional Papers will be written by industry practitioners. Professional Papers describe innovative aspects of professional practise and applications that advance the development of the spatial industry.