The Multitemporal Ts-VI (MTVI) method proposed in this paper originates as a conceptually modified approach of the well known TVDI method. The MTVI method takes advantage of the self-consistency of TVDI and consequently of its large operational applicability but, at the same time, tries to overcome its greatest limitation, which represent also its central assumption, that is the requirement, hardly verified in a single satellite acquisition, for a full range of soil moisture conditions and fractional vegetation cover. By processing satellite imagery in a multitemporal sequence, the MTVI approach seems to better characterize the environment in its natural spatial and temporal variability than TVDI can do. The spatial patterns and temporal evolution of MTVI values have been generated for a multitemporal sequence of Landsat TM imagery acquired in the same period of the year (July) from 1998 up to 2011 over the Little Washita River experimental watershed in Oklahoma, USA. Preliminary results show a good agreement between MTVI values and ground measurements (rainfall and near-surface soil water content), suggesting the potential use at operative level of the MTVI approach for monitoring surface soil moisture distribution over large and heterogeneous areas.
A multitemporal Ts-VI (MTVI) method for surface soil moisture assessmente at regional scale
Leonardo Santurri;
2012
Abstract
The Multitemporal Ts-VI (MTVI) method proposed in this paper originates as a conceptually modified approach of the well known TVDI method. The MTVI method takes advantage of the self-consistency of TVDI and consequently of its large operational applicability but, at the same time, tries to overcome its greatest limitation, which represent also its central assumption, that is the requirement, hardly verified in a single satellite acquisition, for a full range of soil moisture conditions and fractional vegetation cover. By processing satellite imagery in a multitemporal sequence, the MTVI approach seems to better characterize the environment in its natural spatial and temporal variability than TVDI can do. The spatial patterns and temporal evolution of MTVI values have been generated for a multitemporal sequence of Landsat TM imagery acquired in the same period of the year (July) from 1998 up to 2011 over the Little Washita River experimental watershed in Oklahoma, USA. Preliminary results show a good agreement between MTVI values and ground measurements (rainfall and near-surface soil water content), suggesting the potential use at operative level of the MTVI approach for monitoring surface soil moisture distribution over large and heterogeneous areas.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
