GLC_FCS30: Global land-cover product with fine classification system at 30 m using time-series Landsat imagery

X Zhang, L Liu, X Chen, Y Gao… - Earth System Science …, 2020 - essd.copernicus.org
Over past decades, a lot of global land-cover products have been released; however, these
still lack a global land-cover map with a fine classification system and spatial resolution …

Impact of Land Conversion on Land Surface Temperature Over the Coastal Area: A Spatiotemporal Study of Cox's Bazar District, Bangladesh

A Mazumder, A Sarkar, MB Sikder, A Tabassum… - … of Geovisualization and …, 2024 - Springer
Sustainable methods to manage and predict environmental degradation can be achieved
through changing land use and land cover patterns (LULC) and regular monitoring of land …

Comprehensive dataset from high resolution UAV land cover map** of diverse natural environments in serbia

B Ivošević, N Pajević, S Brdar, R Waqar, M Khan… - Scientific Data, 2025 - nature.com
This study highlights the vital role of high-resolution (HR), open-source land cover maps for
food security, land use planning, and environmental protection. The scarcity of freely …

Remote sensing of invasive Lantana camara (Verbenaceae) in semiarid savanna rangeland ecosystems of South Africa

T Dube, C Shoko, M Sibanda, P Madileng… - Rangeland Ecology & …, 2020 - Elsevier
Invasive Lantana camara (L. camara) is one of the key drivers of social-ecological and
environmental change. Understanding its distribution is critical in determining its impact on …

[HTML][HTML] Strategies for detecting land-use change on the River Tea SCI ecological corridor via satellite images

M García-Ontiyuelo, C Acuña-Alonso… - Science of The Total …, 2024 - Elsevier
Land-cover change is often accompanied by land-use change, altering ecosystem services,
species habitats and contributing to climate change. The general goal of this study is to …

Utilising random forests in the modelling of Eragrostis curvula presence and absence in an Australian grassland system

J Brown, A Merchant, L Ingram - Scientific Reports, 2023 - nature.com
Eragrostis curvula is an agronomically and ecologically undesirable perennial tussock grass
dispersed across Australia. The objective of this study is to investigate relationships of …

Semantic boosting: Enhancing deep learning based LULC classification

M Mc Cutchan, AJ Comber, I Giannopoulos… - Remote Sensing, 2021 - mdpi.com
The classification of land use and land cover (LULC) is a well-studied task within the domain
of remote sensing and geographic information science. It traditionally relies on remotely …

Automated Pixel Purification for Delineating Pervious and Impervious Surfaces in a City Using Advanced Hyperspectral Imagery Techniques

P Sajadi, M Gholamnia, S Bonafoni, G Mills… - IEEE …, 2024 - ieeexplore.ieee.org
Conventional urbanization transforms natural into paved landscapes, posing a significant
environmental challenge. Detecting the changes in (im) pervious surfaces in cities, where …

Encoding geospatial vector data for deep learning: LULC as a use case

M Mc Cutchan, I Giannopoulos - Remote Sensing, 2022 - mdpi.com
Geospatial vector data with semantic annotations are a promising but complex data source
for spatial prediction tasks such as land use and land cover (LULC) classification. These …

[PDF][PDF] Land cover map** using remote sensing data

J Al-Doski, SB Mansor, H Ng, P San… - Am. J. Geogr. Inf …, 2020 - researchgate.net
Land cover is a complex parameter because it represents the relationship between socio-
economic activities and regional environmental changes, which is why it is important to …