Applications of satellite-borne observations in precision agriculture (PA) are often limited due to the coarse spatial resolution of satellite imagery. This paper uses high-resolution airborne observations to increase the spatial resolution of satellite data for related applications in PA. A new variational downscaling scheme is presented that uses coincident aerial imagery products from "Aggie...

Most current statistical models for downscaling the remotely sensed land surface temperature (LST) are based on the assumption of the scale-invariant LST-descriptors relationship, which is being debated and requires an in-depth examination. Additionally, research on downscaling LST to high or very high resolutions (~10 m) is still rare. Here, a simple analytical model was developed to quantify ...

An improved statistical-dynamical downscaling method for the regionalization of large-scale climate analyses or simulations is introduced. The method is based on the disaggregation of a multi-year time-series of large-scale meteorological data into multi-day episodes of quasistationary circulation. The episodes are subsequently grouped into a de®ned number of classes. A regional model is used t...

ETRI Journal, Volume 29, Number 6, December 2007 ABSTRACT⎯Efficient downscaling in a transcoder is important when the output should be converted to a lower resolution video. In this letter, we suggest an efficient algorithm for transcoding from MPEG-4 SP (with simple profile) to H.264/AVC with spatial downscaling. First, target image blocks are classified into monotonous, complex, and very comp...

The transistor is one of the key inventions of modern society which have paved the way for innovative technologies being so ubiquitous in everyday life. Due to their economic importance and the pressure to keep production costs low while simultaneously increasing efficiency, transistors have been scaled to the deca-nanometer regime during the last decades. This excessive downscaling of device d...

The unexpected frequency shift observed by the Pioneer team, usually described as an anomalous acceleration, is discussed from the perspective of two alternative assumptions on the origin of cosmological redshift (Hubble effect). One is the standard assumption of an “expanding space”, the other is the assumption of an energy loss of photons without expanding space sections (“downscaling photons...

Prediction of monsoon rainfall for a mesoscale Indian catchment based on stochastical downscaling and objective circulation patterns E. Zehe, A. K. Singh, and A. Bardossy Institute of Geoecology, University of Potsdam, Germany Civil Engineering Department, Nirma University of Science and Technology (NU) Ahmedabad 382 481, India Institute of Hydraulic Engineering, University of Stuttgart, German...

Improved estimation of hydro-meteorological states from downsampled observations and background model forecasts in a noisy environment, has been a subject of growing research in the past decades. Here, we introduce a unified variational framework that ties together the problems of downscaling, data fusion and data assimilation as ill-posed inverse problems. This framework seeks solutions beyond...