Developments in Landsat land cover classification methods: A review
Land cover classification of Landsat images is one of the most important applications
developed from Earth observation satellites. The last four decades were marked by different …
developed from Earth observation satellites. The last four decades were marked by different …
[HTML][HTML] Object based image analysis for remote sensing
Remote sensing imagery needs to be converted into tangible information which can be
utilised in conjunction with other data sets, often within widely used Geographic Information …
utilised in conjunction with other data sets, often within widely used Geographic Information …
Evaluation of machine learning algorithms for forest stand species map** using Sentinel-2 imagery and environmental data in the Polish Carpathians
Abstract Information about forest stand species distribution is essential for biodiversity
modelling, forest disturbances, fire hazard and drought monitoring, biomass and carbon …
modelling, forest disturbances, fire hazard and drought monitoring, biomass and carbon …
A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT …
Pixel-based and object-based image analysis approaches for classifying broad land cover
classes over agricultural landscapes are compared using three supervised machine …
classes over agricultural landscapes are compared using three supervised machine …
A new synergistic approach for monitoring wetlands using Sentinels-1 and 2 data with object-based machine learning algorithms
In this work the synergistic use of Sentinel-1 and 2 combined with the System for Automated
Geoscientific Analyses (SAGA) Wetness Index in the content of land use/cover (LULC) …
Geoscientific Analyses (SAGA) Wetness Index in the content of land use/cover (LULC) …
Map** vegetation and land use types in Fan**gshan National Nature Reserve using google earth engine
Fan**gshan National Nature Reserve (FNNR) is a biodiversity hotspot in China that is part
of a larger, multi-use landscape where farming, grazing, tourism, and other human activities …
of a larger, multi-use landscape where farming, grazing, tourism, and other human activities …
Unsupervised image segmentation evaluation and refinement using a multi-scale approach
B Johnson, Z ** forest type and tree species on a regional scale using multi-temporal Sentinel-2 data
A Hościło, A Lewandowska - Remote Sensing, 2019 - mdpi.com
There are a limited number of studies addressing the forest status, its extent, location, type
and composition over a larger area at the regional or national levels. The dense time series …
and composition over a larger area at the regional or national levels. The dense time series …
Forest type identification with random forest using Sentinel-1A, Sentinel-2A, multi-temporal Landsat-8 and DEM data
Carbon sink estimation and ecological assessment of forests require accurate forest type
map**. The traditional survey method is time consuming and labor intensive, and the …
map**. The traditional survey method is time consuming and labor intensive, and the …
Urban tree species classification using UAV-based multi-sensor data fusion and machine learning
Urban tree species classification is a challenging task due to spectral and spatial diversity
within an urban environment. Unmanned aerial vehicle (UAV) platforms and small-sensor …
within an urban environment. Unmanned aerial vehicle (UAV) platforms and small-sensor …