Spatial evapotranspiration, rainfall and land use data in water accounting–Part 1: Review of the accuracy of the remote sensing data
P Karimi, WGM Bastiaanssen - Hydrology and Earth System …, 2015 - hess.copernicus.org
The scarcity of water encourages scientists to develop new analytical tools to enhance water
resource management. Water accounting and distributed hydrological models are examples …
resource management. Water accounting and distributed hydrological models are examples …
A new synergistic approach for monitoring wetlands using Sentinels-1 and 2 data with object-based machine learning algorithms
A Whyte, KP Ferentinos, GP Petropoulos - Environmental Modelling & …, 2018 - Elsevier
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) …
Self-guided segmentation and classification of multi-temporal Landsat 8 images for crop type mapping in Southeastern Brazil
Only well-chosen segmentation parameters ensure optimum results of object-based image
analysis (OBIA). Manually defining suitable parameter sets can be a time-consuming …
analysis (OBIA). Manually defining suitable parameter sets can be a time-consuming …
Approximate spectral clustering with utilized similarity information using geodesic based hybrid distance measures
K Taşdemir, B Yalçin, I Yildirim - Pattern Recognition, 2015 - Elsevier
Spectral clustering has been popular thanks to its ability to extract clusters of varying
characteristics without using a parametric model in expense of high computational cost …
characteristics without using a parametric model in expense of high computational cost …
Monitoring of the risk of farmland abandonment as an efficient tool to assess the environmental and socio-economic impact of the Common Agriculture Policy
P Milenov, V Vassilev, A Vassileva, R Radkov… - International Journal of …, 2014 - Elsevier
Farmland abandonment (FLA) could be defined as the cessation of agricultural activities on
a given surface of land (Pointereau et al., 2008). FLA, often associated with social and …
a given surface of land (Pointereau et al., 2008). FLA, often associated with social and …
Hybrid chemical reaction based metaheuristic with fuzzy c-means algorithm for optimal cluster analysis
Hybridization of two or more algorithms has always been a keen interest of research due to
the quality of improvement in searching capability. Taking the positive insights of both the …
the quality of improvement in searching capability. Taking the positive insights of both the …
High Nature Value farmland identification from satellite imagery, a comparison of two methodological approaches
While the identification of High Nature Value (HNV) farmland is possible using the different
types of spatial information categories available at European scale, most data used is still …
types of spatial information categories available at European scale, most data used is still …
An approximate spectral clustering ensemble for high spatial resolution remote-sensing images
Unsupervised clustering of high spatial resolution remote-sensing images plays a significant
role in detailed land-cover identification, especially for agricultural and environmental …
role in detailed land-cover identification, especially for agricultural and environmental …
Sampling based approximate spectral clustering ensemble for partitioning datasets
Y Moazzen, K Tasdemir - 2016 23rd International Conference …, 2016 - ieeexplore.ieee.org
Spectral clustering is able to extract clusters with various characteristics without a parametric
model, however it is infeasible for large datasets due to its high computational cost and …
model, however it is infeasible for large datasets due to its high computational cost and …
Sampling based approximate spectral clustering ensemble for unsupervised land cover identification
Y Moazzen, B Yalcin, K Taşdemir - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Approximate spectral clustering (ASC), a recently popular approach for unsupervised land
cover identification, applies spectral clustering on a reduced set of data representatives …
cover identification, applies spectral clustering on a reduced set of data representatives …