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 …

Identification of soybean based on Sentinel-1/2 SAR and MSI imagery under a complex planting structure

M Zhu, B She, L Huang, D Zhang, H Xu, X Yang - Ecological Informatics, 2022 - Elsevier
Soybeans, as the major global oil seed crops, are among the large-scale agricultural
products imported into China. In this way, the accurate identification of their growing areas is …

Mapping agricultural intensification in the Brazilian savanna: A machine learning approach using harmonized data from Landsat Sentinel-2

ÉL Bolfe, TC Parreiras, LAP Silva, EE Sano… - … International Journal of …, 2023 - mdpi.com
Agricultural intensification practices have been adopted in the Brazilian savanna (Cerrado),
mainly in the transition between Cerrado and the Amazon Forest, to increase productivity …

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 …

Limited-Samples-Based Crop Classification Using a Time-Weighted Dynamic Time Warping Method, Sentinel-1 Imagery, and Google Earth Engine

X Xiao, L Jiang, Y Liu, G Ren - Remote Sensing, 2023 - mdpi.com
Reliable crop type classification supports the scientific basis for food security and
sustainable agricultural development. However, it still lacks a limited-samples-based crop …

Estimating double cropping plantations in the Brazilian Cerrado through PlanetScope monthly mosaics

EE Sano, ÉL Bolfe, TC Parreiras, GM Bettiol… - Land, 2023 - mdpi.com
Farmers in the Brazilian Cerrado are increasing grain production by cultivating second crops
during the same crop growing season. The release of PlanetScope (PS) satellite images …

A method for prediction of winter wheat maturity date based on modis time series and accumulated temperature

F Zhao, G Yang, H Yang, H Long, W Xu, Y Zhu, Y Meng… - Agriculture, 2022 - mdpi.com
Accurate determination of crop phenology is key to field management and decision making.
The existing research on phenology based on remote sensing data is mainly phenology …

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 …

[HTML][HTML] Exploring the effects of training samples on the accuracy of crop mapping with machine learning algorithm

Y Fu, R Shen, C Song, J Dong, W Han, T Ye… - Science of Remote …, 2023 - Elsevier
Abstract Machine learning algorithms are a frequently used crop classification method and
have been applied to identify the distribution of various crops over regional and national …

Identification of cultivated land change trajectory and analysis of its process characteristics using time-series Landsat images: A study in the overlapping areas of crop …

J Li, Z Jiang, H Miao, J Liang, Z Yang, Y Zhang… - Science of The Total …, 2022 - Elsevier
Most studies have extensively evaluated the extent and direction of land-use change in coal
mining areas; however, they did not adequately describe the time dimension of cultivated …