Comparison of three machine learning algorithms using google earth engine for land use land cover classification

Z Zhao, F Islam, LA Waseem, A Tariq, M Nawaz… - Rangeland ecology & …, 2024 - Elsevier
Abstract Google Earth Engine (GEE) is presently the most innovative international open-
source platform for the advanced-level analysis of geospatial big data. In this study, we used …

The use of Multispectral Radio-Meter (MSR5) data for wheat crop genotypes identification using machine learning models

M Jamil, H Rehman, M Saqlain Zaheer, A Tariq… - Scientific Reports, 2023 - nature.com
Satellite remote sensing is widely being used by the researchers and geospatial scientists
due to its free data access for land observation and agricultural activities monitoring. The …

Assessment of future prediction of urban growth and climate change in district Multan, Pakistan using CA-Markov method

S Hussain, M Mubeen, W Nasim, F Mumtaz, HG Abdo… - Urban Climate, 2024 - Elsevier
This research utilized remote sensing (RS) technology to analyze and monitor land use land
cover (LULC) and climate change. This work mainly involves three components:(i) …

Identification and mapping of groundwater recharge zones using multi influencing factor and analytical hierarchy process

F Meng, MI Khan, SAA Naqvi, A Sarwar, F Islam… - Scientific Reports, 2024 - nature.com
The management of groundwater systems is essential for nations that rely on groundwater
as the principal source of communal water supply (eg, Mohmand District of Pakistan). The …

Evaluation of Land Use Land Cover Changes in Response to Land Surface Temperature With Satellite Indices and Remote Sensing Data

Q Zhao, M Haseeb, X Wang, X Zheng, Z Tahir… - Rangeland Ecology & …, 2024 - Elsevier
Land use and land cover (LULC) changes are known as the main factors causing soil
degradation, which presents considerable obstacles to maintaining soil quality and the …

Land cover changes and carbon dynamics in Central India's dry tropical forests: A 25-year assessment and nature-based eco-restoration approaches

TK Thakur, SL Swamy, A Thakur, A Mishra… - Journal of …, 2024 - Elsevier
Anthropogenic land use and land cover changes are major drivers of environmental
degradation and declining soil health across heterogeneous landscapes in Central India. To …

[HTML][HTML] Factors influencing spatiotemporal cooling potential of blue–green infrastructure across diverse local climate zones—Case study of Wroclaw, Poland

G Budzik, P Krajewski, A Soszyńska… - Building and …, 2025 - Elsevier
The development of blue–green infrastructure (BGI) is essential for mitigating urban heat
islands; however, it encounters operational challenges that demand effective, locally …

A multi-scale analysis of the relationship between land surface temperature and PM2. 5 in different land use types

Z Li, W Wu, S Chen, Y Zhang, S Tian, L Li… - Journal of Cleaner …, 2024 - Elsevier
The high land surface temperature (LST) and fine particulate matter (PM 2.5) pose
significant threats to urban ecological environment. LST and PM 2.5 are closely related, and …

[HTML][HTML] Towards sustainable transportation: A case study analysis of climate-responsive strategies in a developing nation

R Nasir, H Meng, SR Ahmad, LA Waseem… - Case Studies in Thermal …, 2024 - Elsevier
Abstract According to the Global Climate Risk Index, Pakistan is the fifth most vulnerable
nation in the world to climate change. The growing phenomena of climate change and …

Estimation of land surface temperature and LULC changes impact on groundwater resources in the semi-arid region of Madhya Pradesh, India

KN Moharir, CB Pande, VK Gautam, SS Dash… - Advances in Space …, 2024 - Elsevier
The land surface temperature (LST) changes influence on many factors such as land use
and land cover (LULC), vegetation and water resources etc. Now a day's urban population …