Map** abandoned cropland using Within-Year Sentinel-2 time series
B Liu, W Song - Catena, 2023 - Elsevier
Against the background of the COVID-19 pandemic and various armed conflicts, the world is
experiencing an unprecedented food crisis. The reclamation of abandoned cropland with …
experiencing an unprecedented food crisis. The reclamation of abandoned cropland with …
Application of a novel multiscale global graph convolutional neural network to improve the accuracy of forest type classification using aerial photographs
The accurate classification of forest types is critical for sustainable forest management. In
this study, a novel multiscale global graph convolutional neural network (MSG-GCN) was …
this study, a novel multiscale global graph convolutional neural network (MSG-GCN) was …
Object-oriented crop classification using time series sentinel images from google earth engine
The resulting maps of land use classification obtained by pixel-based methods often have
salt-and-pepper noise, which usually shows a certain degree of cluttered distribution of …
salt-and-pepper noise, which usually shows a certain degree of cluttered distribution of …
Object-oriented canopy gap extraction from UAV images based on edge enhancement
J ** in the Sanjiang Plain Using an Improved Object-Oriented Method Based on Google Earth Engine and Combined Growth Period Attributes
M Li, R Zhang, H Luo, S Gu, Z Qin - Remote Sensing, 2022 - mdpi.com
In recent years, the scale of rural land transfer has gradually expanded, and the
phenomenon of non-grain-oriented cultivated land has emerged. Obtaining crop planting …
phenomenon of non-grain-oriented cultivated land has emerged. Obtaining crop planting …
Comparison of Algorithms and Optimal Feature Combinations for Identifying Forest Type in Subtropical Forests Using GF-2 and UAV Multispectral Images.
G He, S Li, C Huang, S Xu, Y Li, Z Jiang… - Forests …, 2024 - search.ebscohost.com
The composition and spatial distribution of tree species are pivotal for biodiversity
conservation, ecosystem productivity, and carbon sequestration. However, the accurate …
conservation, ecosystem productivity, and carbon sequestration. However, the accurate …
Individual Tree Species Identification Based on a Combination of Deep Learning and Traditional Features
Accurate identification of individual tree species (ITS) is crucial to forest management.
However, current ITS identification methods are mainly based on traditional image features …
However, current ITS identification methods are mainly based on traditional image features …
Data homogeneity impact in tree species classification based on Sentinel-2 multitemporal data case study in central Sweden
G D'Amico, M Nilsson, A Axelsson… - International Journal of …, 2024 - Taylor & Francis
Spatial information on forest composition is invaluable for achieving scientific, ecological,
and management objectives and for monitoring multiple changes in forest ecosystems. The …
and management objectives and for monitoring multiple changes in forest ecosystems. The …
[HTML][HTML] Classification of Coniferous and Broad-Leaf Forests in China Based on High-Resolution Imagery and Local Samples in Google Earth Engine
X Yuan, Y Liang, W Feng, J Li, H Ren, S Han, M Liu - Remote Sensing, 2023 - mdpi.com
As one of the world's major forestry countries, accurate forest-type maps in China are of
great importance for the monitoring and management of forestry resources. Classifying and …
great importance for the monitoring and management of forestry resources. Classifying and …