Machine learning in modelling land-use and land cover-change (LULCC): Current status, challenges and prospects
Land-use and land-cover change (LULCC) are of importance in natural resource
management, environmental modelling and assessment, and agricultural production …
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 …
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
Agricultural intensification practices have been adopted in the Brazilian savanna (Cerrado),
mainly in the transition between Cerrado and the Amazon Forest, to increase productivity …
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 …
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 …
sustainable agricultural development. However, it still lacks a limited-samples-based crop …
Estimating double cropping plantations in the Brazilian Cerrado through PlanetScope monthly mosaics
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 …
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 …
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
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 …
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 …
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 …
mining areas; however, they did not adequately describe the time dimension of cultivated …