Land use and land cover (LULC) performance modeling using machine learning algorithms: a case study of the city of Melbourne, Australia

J Aryal, C Sitaula, AC Frery - Scientific Reports, 2023 - nature.com
Accurate spatial information on Land use and land cover (LULC) plays a crucial role in city
planning. A widely used method of obtaining accurate LULC maps is a classification of the …

Harnessing multiple data sources and emerging technologies for comprehensive urban green space evaluation

A Hu, N Yabuki, T Fukuda, H Kaga, S Takeda… - Cities, 2023 - Elsevier
Urban greening is vital for environmental sustainability and human welfare, but assessing its
impact can be challenging due to traditional methodologies' limitations. These methods …

[HTML][HTML] Winter wheat mapping method based on Pseudo-labels and U-Net model for training sample shortage

J Zhang, S You, A Liu, L Xie, C Huang, X Han, P Li… - Remote Sensing, 2024 - mdpi.com
In recent years, the semantic segmentation model has been widely applied in fields such as
the extraction of crops due to its advantages such as strong discrimination ability, high …

[HTML][HTML] Joint associations of neighbourhood walkability and greenery with walking among middle-aged and older adults: findings from diverse urban settings in …

M Chandrabose, N Hadgraft, N Owen, S Mavoa… - Health & Place, 2024 - Elsevier
There is evidence that neighbourhood walkability and greenery are associated with walking,
but less is known about their joint associations. We investigated this using data from the …

Urban classification of the built-up and seasonal variations in vegetation: A framework integrating multisource datasets

KA García-Pardo, D Moreno-Rangel… - Urban Forestry & Urban …, 2023 - Elsevier
The growing emphasis on integrating natural elements into urban environments to
counteract adverse impacts has increased research into the role of vegetation within cities …

[HTML][HTML] Retrieval of Three-Dimensional Green Volume in Urban Green Space from Multi-Source Remote Sensing Data

Z Hong, W Xu, Y Liu, L Wang, G Ou, N Lu, Q Dai - Remote Sensing, 2023 - mdpi.com
Quantification of three-dimensional green volume (3DGV) plays a crucial role in assessing
environmental benefits to urban green space (UGS) at a regional level. However, precisely …

Analisis kerapatan vegetasi kota ambon menggunakan data citra satelit sentinel-2 dengan metode MSARVI berbasis machine learning pada google earth engine

PC Latue, H Rakuasa… - Sudo Jurnal Teknik …, 2023 - jurnal.ilmubersama.com
Pertumbuhan kota Ambon yang pesat serta dapat mempengaruhi penurunan Indeks
kerapatan vegetasi di Kota Ambon. Penelitian ini bertujuan untuk mengnalisis kerapatan …

Reading greenness in urban areas: possible roles of phenological metrics from the copernicus HR-VPP dataset

E Borgogno-Mondino, V Fissore - Remote Sensing, 2022 - mdpi.com
Vegetation phenology is that branch of science that describes periodic plant life cycle events
across the growing seasons. Remote sensing typically monitors these significant events by …

Analysis of Vegetation Index in Ambon City Using Sentinel-2 Satellite Image Data with Normalized Difference Vegetation Index (NDVI) Method based on Google Earth …

H Rakuasa, DA Sihasale - Journal of Innovation Information …, 2023 - ejournal.pnc.ac.id
Rapid urban development and increasing human activities in the city can affect the decline
in the Vegetation Index in Ambon City. The research aims to analyze the vegetation index …

Changes in Ecosystem Service Values in Response to the Planting of Eucalyptus and Acacia Species in the Gilgel Abay Watershed, Northwest Ethiopia

E Debie, M Anteneh - Tropical Conservation Science, 2022 - journals.sagepub.com
Plantation of Eucalyptus and Acacia species emerges as a promising alternative in the
tropics in a scenario of high demand for provisional and regulating ecosystem services. The …