Results 51 to 60 of about 21,657,058 (394)
Forest canopy cover (FCC) is an important ecological parameter of forest ecosystems, and is correlated with forest characteristics, including plant growth, regeneration, biodiversity, light regimes, and hydrological properties.
V. Nasiri+5 more
semanticscholar +1 more source
Convolutional Neural Networks for Global Human Settlements Mapping from Sentinel-2 Satellite Imagery [PDF]
Spatially consistent and up-to-date maps of human settlements are crucial for addressing policies related to urbanization and sustainability, especially in the era of an increasingly urbanized world.The availability of open and free Sentinel-2 data of the Copernicus Earth Observation program offers a new opportunity for wall-to-wall mapping of human ...
arxiv +1 more source
A hierarchical clustering method for land cover change detection and identification [PDF]
A method to detect abrupt land cover changes using hierarchical clustering of multi-temporal satellite imagery was developed. The Autochange method outputs the pre-change land cover class, the change magnitude, and the change type.
Andersson, Kaj+5 more
core +1 more source
Mapping of Land Cover with Optical Images, Supervised Algorithms, and Google Earth Engine
Crops and ecosystems constantly change, and risks are derived from heavy rains, hurricanes, droughts, human activities, climate change, etc. This has caused additional damages with economic and social impacts.
Fernando Pech-May+3 more
doaj +1 more source
A Novel Spectral Index for Automatic Canola Mapping by Using Sentinel-2 Imagery
Because canola is a major oilseed crop, accurately determining its planting areas is crucial for ensuring food security and achieving UN 2030 sustainable development goals.
H. Tian+7 more
semanticscholar +1 more source
Quantifying uncertainty and bridging the scaling gap in the retrieval of leaf area index by coupling Sentinel-2 and UAV observations [PDF]
Leaf area index (LAI) estimates can inform decision-making in crop management. The European Space Agency’s Sentinel-2 satellite, with observations in the red-edge spectral region, can monitor crops globally at sub-field spatial resolutions (10 ...
Florence, Anna+5 more
core +2 more sources
729Sentinel-1 data are an alternative for monitoring flooded inland surfaces during cloudy periods. Supervised classification approaches with a single-trained model for the entire image demonstrate poor accuracy due to confusing backscatter conditions of
Ioannis Manakos+2 more
doaj +1 more source
In previous classification studies, three non-parametric classifiers, Random Forest (RF), k-Nearest Neighbor (kNN), and Support Vector Machine (SVM), were reported as the foremost classifiers at producing high accuracies. However, only a few studies have
Phan Thanh Noi, M. Kappas
semanticscholar +1 more source
Microwave and optical imaging methods react differently to different land surface parameters and, thus, provide highly complementary information. However, the contribution of individual features from these two domains of the electromagnetic spectrum for ...
M. Lechner+4 more
semanticscholar +1 more source
Global biophysical products at decametric resolution derived from Sentinel-2 imagery have emerged as a promising dataset for fine-scale ecosystem modeling and agricultural monitoring.
Qiong Hu+8 more
doaj +1 more source