The asymptotic analysis of high exceedance probabilities for Gaussian processes and fields has been a blooming research area since J. Pickands introduced the now-standard techniques in the late 60's. The \textit{vector-valued} processes, however, have long remained out of reach due to the lack of some key tools including Slepian's lemma, Borell-TIS and Piterbarg inequalities. In a 2020 paper by K. Debicki, E. Hashorva and L. Wang, the authors extended the double-sum method to a large class of vector-valued processes, both stationary and non-stationary. In this contribution we make one step forward, extending these results to a simple yet rich class of non-homogenous vector-valued Gaussian \textit{fields}. As an application of our findings, we present an exact asymptotic result for the probability that a real-valued process first hits a high positive barrier and then a low negative barrier within a finite time horizon.