The Group on Earth Observations Global Agricultural Monitoring Initiative (GEOGLAM) considers agricultural fields as one of the essential variables that can be derived from satellite data. We evaluated accuracy at which delineated Sentinel-1 (S1) and Sentinel-2 (S2) images in different landscapes throughout growing season. used supervised segmentation based multiresolution (MRS) algorithm to fi...

OBJECTIVES To evaluate the reliability and morbidity of dynamic sentinel node biopsy compared with radical inguinal lymphadenectomy (RIL) in the treatment of selected patients with squamous cell penile carcinoma. METHODS We retrospectively considered patients with clinically node-negative Stage pT2-pT3 penile cancer. From 1994 to 2000, 48 patients (group 1, mean age 63 years) underwent penect...

BACKGROUND Sentinel node (SN) biopsy is the standard of care for the assessment of axilla in early breast cancer patients with clinically node negative disease. Confirmed absence of tumour deposit in node on intra operative frozen section (FS) examination saves the patient from complete axillary dissection. However controversies arise when inconsistencies occur in results of frozen and permanen...

As a newly developed classification system, the LCZ scheme provides research framework for Urban Heat Island (UHI) studies and standardizes worldwide urban temperature observations. With growing popularity of deep learning, learning-based approaches have shown great potential in mapping. Three major cities China are selected as study areas. In this study, we design convolutional neural network ...

Surface soil moisture (SSM) is a major factor that affects crop growth. Combined microwave and optical data have been widely used to improve the accuracy of SSM retrievals. However, influence vegetation indices derived from red-edge spectral bands multi-spectral on retrieval has not sufficiently analyzed. In this study, we retrieved wheat-covered surfaces using Sentinel-1/2 data. First, modifie...

Abandoned agricultural land (AAL) is a European problem and phenomenon when gradually overgrown with shrubs forest. This wood biomass has not yet been systematically inventoried. The aim of this study was to experimentally prove validate the concept satellite-based estimation woody above-ground (AGB) on AAL in Western Carpathian region. analysis based Sentinel-1 -2 satellite data, supported by ...

Large-scale crop type mapping often requires prediction beyond the environmental settings of training sites. Shifts in phenology, field characteristics, or ecological site conditions previously unseen area, may reduce classification performance machine learning classifiers that overfit to This study aims assess spatial transferability Random Forest models for across Germany. The effects differe...