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 …

Machine learning and food security: insights for agricultural spatial planning in the context of agriculture 4.0

VJPD Martinho, CAS Cunha, ML Pato, PJL Costa… - Applied Sciences, 2022 - mdpi.com
Climate change and global warming interconnected with the new contexts created by the
COVID-19 pandemic and the Russia-Ukraine conflict have brought serious challenges to …

Monitoring maize growth and calculating plant heights with Synthetic Aperture Radar (SAR) and optical satellite images

İ Arslan, M Topakcı, N Demir - Agriculture, 2022 - mdpi.com
The decrease in water resources due to climate change is expected to have a significant
impact on agriculture. On the other hand, as the world population increases so does the …

Improving crop mapping in Brazil's Cerrado from a data cubes-derived Sentinel-2 temporal analysis

MED Chaves, ID Sanches - Remote Sensing Applications: Society and …, 2023 - Elsevier
Abstract The Sentinel-2/MultiSpectral Instrument (S2/MSI) expands the frequency of satellite
observations, which is relevant to elaborate detailed and timely land use and land cover …

Spatiotemporal characterization of land cover and degradation in the agreste region of Pernambuco, Brazil, using cloud geoprocessing on Google Earth Engine

MVN de Melo, MEG de Oliveira, GLP de Almeida… - Remote Sensing …, 2022 - Elsevier
The characterization of land use and land cover (LULC), as well as the identification of its
degradation factors, are necessary for the preservation of the agroecosystem and help in …

Hierarchical classification of soybean in the Brazilian savanna based on Harmonized Landsat Sentinel data

TC Parreiras, ÉL Bolfe, MED Chaves, IDA Sanches… - Remote Sensing, 2022 - mdpi.com
The Brazilian Savanna presents a complex agricultural dynamic and cloud cover issues;
therefore, there is a need for new strategies for more detailed agricultural monitoring. Using …

A semi-automated workflow for lulc mapping via sentinel-2 data cubes and spectral indices

MED Chaves, AR Soares, GAV Mataveli, AH Sánchez… - Automation, 2023 - mdpi.com
Land use and land cover (LULC) mapping initiatives are essential to support decision
making related to the implementation of different policies. There is a need for timely and …

A general grass growth model for urban green spaces management in tropical regions: A case study with bahiagrass in southeastern Brazil

EV Escobar-Silva, V Bourscheidt, CST Daughtry… - Urban Forestry & Urban …, 2022 - Elsevier
Urban green spaces (UGS) positively impact the population, providing essential ecosystem
services and improving public health. Urban vegetation management needs to optimize …

Evaluating effects of medium-resolution optical data availability on phenology-based rice mapping in China

R Liu, G Zhang, J Dong, Y Zhou, N You, Y He, X Xiao - Remote Sensing, 2022 - mdpi.com
The phenology-based approach has proven effective for paddy rice mapping due to the
unique flooding and transplanting features of rice during the early growing season …

Regional-Scale Assessment of Burn Scar Mapping in Southwestern Amazonia Using Burned Area Products and CBERS/WFI Data Cubes

PD Ferro, G Mataveli, JS Arcanjo, DJ Dutra… - Fire, 2024 - mdpi.com
Fires are one of the main sources of disturbance in fire-sensitive ecosystems such as the
Amazon. Any attempt to characterize their impacts and establish actions aimed at combating …