Machine learning in modelling land-use and land cover-change (LULCC): Current status, challenges and prospects

J Wang, M Bretz, MAA Dewan, MA Delavar - Science of The Total …, 2022 - Elsevier
Land-use and land-cover change (LULCC) are of importance in natural resource
management, environmental modelling and assessment, and agricultural production …

Cloud-based storage and computing for remote sensing big data: a technical review

C Xu, X Du, X Fan, G Giuliani, Z Hu… - … Journal of Digital …, 2022 - Taylor & Francis
The rapid growth of remote sensing big data (RSBD) has attracted considerable attention
from both academia and industry. Despite the progress of computer technologies …

Satellite image time series analysis for big earth observation data

R Simoes, G Camara, G Queiroz, F Souza… - Remote Sensing, 2021 - mdpi.com
The development of analytical software for big Earth observation data faces several
challenges. Designers need to balance between conflicting factors. Solutions that are …

The future of global land change monitoring

XP Song - International Journal of Digital Earth, 2023 - Taylor & Francis
Land change science co-evolves with remote sensing technology. The world has witnessed
an exponential growth in Earth observation satellites since 1972, and concurrently, land …

Mapping deforestation in cerrado based on hybrid deep learning architecture and medium spatial resolution satellite time series

BM Matosak, LMG Fonseca, EC Taquary, RV Maretto… - Remote sensing, 2022 - mdpi.com
Cerrado is the second largest biome in Brazil, covering about 2 million km 2. This biome has
experienced land use and land cover changes at high rates due to agricultural expansion so …

Change in observed long-term greening across Switzerland–evidence from a three decades NDVI time-series and its relationship with climate and land cover factors

C Obuchowicz, C Poussin, G Giuliani - Big Earth Data, 2024 - Taylor & Francis
Environmental changes are significantly modifying terrestrial vegetation dynamics, with
serious consequences on Earth system functioning and provision of ecosystem services …

Mapping South America's drylands through remote sensing—A review of the methodological trends and current challenges

KA Ganem, Y Xue, AA Rodrigues, W Franca-Rocha… - Remote Sensing, 2022 - mdpi.com
The scientific grasp of the distribution and dynamics of land use and land cover (LULC)
changes in South America is still limited. This is especially true for the continent's hyperarid …

CBERS data cubes for land use and land cover mapping in the Brazilian Cerrado agricultural belt

MED Chaves, AR Soares, ID Sanches… - International Journal of …, 2021 - Taylor & Francis
The agricultural frontier expansion in the Cerrado biome made Brazil a leader in commodity
exports and is changing its landscape. Hence, efforts to accurate land use and land cover …

Scalable data processing platform for earth observation data repositories

H Astsatryan, A Lalayan, G Giuliani - Scalable Computing: Practice and …, 2023 - scpe.org
Earth observation (EO) satellite data is essential to environmental monitoring. At a national
and regional level, the open data cubes harness the power of satellite data by providing …

[HTML][HTML] Time-weighted dynamic time warping analysis for mapping interannual cropping practices changes in large-scale agro-industrial farms in Brazilian Cerrado

MED Chaves, MC Alves, T Sáfadi… - Science of Remote …, 2021 - Elsevier
Methods for crop phenology detection using time series analysis have provided accurate
information for large agricultural areas in shorter processing times, which can be useful for …