Precipitation has a strong and constant impact on different economic sectors, environment social activities all over the world. An increasing interest for monitoring estimating precipitation characteristics can be claimed in last decades. However, some areas, ground-based network is still sparse spatial data coverage insufficiently addresses needs. In decades, interpolation methods provide an e...

Fundamental to the philosophy of Precision Agriculture (PA) is the concept of matching inputs to needs. Recent research in PA has focused on use of Management Zones (MZ) that are fi eld areas characterised by homogeneous attributes in landscape and soil conditions. Proximal sensing (such as Electromagnetic Induction (EMI), Ground Penetrating Radar (GPR) and X-ray fl uorescence) can complement d...

Lidar data provide accurate measurements of forest canopy structure in the vertical plane however current lidar sensors have limited coverage in the horizontal plane. Landsat data provide extensive coverage of generalized forest structural classes in the horizontal plane but are relatively insensitive to variation in forest canopy height. It would therefore be desirable to integrate lidar and L...

nowadays, much attention has been paid on using geostatistical methods for estimation of spatial parameters, either using the variables of these parameters (kriging) or auxiliary variables (cokriging), in water and soil sciences. the quality of ground water for agriculture is very important; however, it is expensive and time consuming to measure parameters such as sar, na, ca, th, tds and ec. t...

1. Adhikary S.K., Muttil N., Yilmaz A.G., 2017, Cokriging for enhanced spatial interpolation of rainfall in two Australian catchments, Hydrological Processes, 31 (12), 2143-2161, DOI: 10.1002/hyp.11163. CrossRef Google Scholar

Geostatistical methods such as simple, ordinary, and universal kriging are not multivariate models in the usual statistical function. Notwithstanding, techniques utilize random function that include unlimited variables while modeling one attribute. The cokriging technique is a estimation method can simultaneously model two or more attributes, defined with same domains coregionalization. ...

This paper evaluates the performance of spatial methods to estimate leaf area index (LAI) fields from ground-based measurements at high-spatial resolution over a cropland landscape. Three geostatistical model variants of the kriging technique, the ordinary kriging (OK), the collocated cokriging (CKC) and kriging with an external drift (KED) are used. The study focused on the influence of the sp...

The accurate assessment of spatiotemporal rainfall variability is a crucial and challenging task in many hydrological applications, mainly due to the lack of a sufficient number of rain gauges. The purpose of the present study is to investigate the spatiotemporal variations of annual and monthly rainfall over Fujian province in China by combining the Bayesian maximum entropy (BME) method and sa...