Mapping farmland soil organic carbon density in plains with combined cropping system extracted from NDVI time-series data

Z Wu, Y Liu, Y Han, J Zhou, J Liu, J Wu - Science of the Total Environment, 2021 - Elsevier
The accurate mapping of farmland soil organic carbon density (SOCD) is crucial for
evaluating carbon (C) sequestration potential and forecasting climate change. Natural …

Comparison of landuse/landcover classifier for monitoring urban dynamics using spatially enhanced landsat dataset

BL Theres, R Selvakumar - Environmental Earth Sciences, 2022 - Springer
Urban dynamics refers to a phenomenon wherein certain factors contribute to imparting
changes to an urban area. These factors can aid in either growth or deterioration of the city …

Multilayer perceptron and Markov Chain analysis based hybrid-approach for predicting land use land cover change dynamics with Sentinel-2 imagery

H Abbas, W Tao, G Khan, AF Alrefaei, J Iqbal… - Geocarto …, 2023 - Taylor & Francis
As urbanization accelerates, the degree of human impact on land use is increasing. land
use land cover change (LULC) is acknowledged as crucial factor in environmental change …

Extraction of urban quality of life indicators using remote sensing and machine learning: The case of Al Ain City, United Arab Emirates (UAE)

MM Yagoub, YT Tesfaldet, MG Elmubarak… - … International Journal of …, 2022 - mdpi.com
Urban quality of life (UQoL) study is very important for many applications such as services
distribution, urban planning, and socioeconomic analysis. The objective of this study is to …

A deep learning model with capsules embedded for high-resolution image classification

Y Guo, J Liao, G Shen - IEEE Journal of Selected Topics in …, 2020 - ieeexplore.ieee.org
Classification of remote sensing (RS) images is a key technology for extracting information
on ground objects using RS methods. Inspired by the success of deep learning (DL) in …

Assessing the dynamics of land use and land cover change in semi‐arid savannah: A focus on woody plant encroachment utilising historical satellite data

C Malapane, T Dube, T Dalu - African Journal of Ecology, 2024 - Wiley Online Library
The encroachment of woody plants into grassland and the conversion of grasslands to
woodlands is a worldwide phenomenon and has been regarded as a major global problem …

Assessing the impact of bridge construction on the land use/cover and socio-economic indicator time series: A case study of Hangzhou Bay Bridge

L Chu, Y Zou, D Masiliūnas, T Blaschke… - GIScience & Remote …, 2021 - Taylor & Francis
Construction of transportation infrastructure is a vital step in boosting economic and societal
opportunities and often results in land use changes. In this study, we focus on the land use …

Possible explanations for the “Matthew effect” of rainfall in the Beijing-Tianjin-Hebei metropolitan area

H Zhang, Q Wang, Y Zhao, J Zhai, J Zhang - Journal of Hydrology, 2024 - Elsevier
Urbanization has amplified regional changes in rainfall associated with global warming,
making urban flooding more frequent, but the role of urbanization in this process is still …

Random forest classifier for high entropy alloys phase diagnosis

M Yousefi, K Rahmani, M Rajabi, A Reyhani, M Moudi - Afrika Matematika, 2024 - Springer
The random forest (RF) algorithm is considered as a powerful statistical classifier that is
more popular in other fields but is relatively unknown in HEA (s)'s prediction phase. In this …

Pemetaan Daerah Rawan Longsor Menggunakan Machine Learning di Kecamatan Muara Tami, Kota Jayapura, Papua

M Aldi, IR Siregar, A Bilqis - Jurnal Geofisika, 2021 - jurnal-geofisika.or.id
Salah satu daerah di Papua dengan tingkat kerentanan tanah longsor yang cukup tinggi
yaitu Kecamatan Muara Tami, Kota Jayapura. Faktor penyebab utamanya adalah …