DEVELOPMENT OF MACHINE LEARNING MODELS TO PREDICT COMPRESSED SWARD HEIGHT IN WALLOON PASTURES BASED ON SENTINEL-1, SENTINEL-2 AND METEOROLOGICAL DATA USING MULTIPLE DATA TRANSFORMATIONS

Accurate information about the available standing biomass on pastures is critical for the adequate management of grazing and its promotion to farmers.In this paper, machine learning models are developed to predict available biomass expressed as compressed sward height (CSH) from readily accessible meteorological, optical (Sentinel-2) and radar sate

Automatic segmentation of pulmonary vessels is a fundamental and essential task for the diagnosis of various pulmonary vessels diseases.The accuracy of segmentation is suffering from the complex vascular structure.In this paper, an Improved Residual Attention U-Net (IRAU-Net) aiming to segment pulmonary vessel in 3D is proposed.To extract more vess

Viewshed analysis is of great interest to location optimization, environmental planning, ecology and tourism.There have been plenty of viewshed analysis methods which are generally time-consuming and among these methods, the XDraw algorithm is one of the fastest algorithms and has been widely adopted in various applications.Unfortunately, XDraw suf

The South-to-North Water Diversion soderhamn ottoman cover Project (SNWDP) is a megaproject which has been constructed to alleviate imbalanced water resource distribution between northern and southern China.It encompasses three routes distributed in the east, central, and west of China, respectively.The central route (CR) of the SNWDP starts from t