Manchester, Chetham's Library MS 8009 (Mun. A.6.31): A Codicological Description

This article presents a complete codicological description of Manchester, Chetham's Library, MS 8009 (Mun.A.6.31), a late fifteenth-century production that contains a combination of secular and religious texts. The manuscript's significance for both the literary and textual scholar was recognized by Derek Pearsall when he suggested its suitability for a facsimile edition. The restrictions imposed by the Governors of the Library for reproduction under the present conditions, however, suggest that Pearsall's recommendation may have to wait for some time. The purpose of this paper is to fill that void by correcting some inaccuracies in previous descriptions and completing them with supporting visual evidence.

Contribution to Real-Time Estimation of Crop Phenological States in a Dynamical Framework Based on NDVI Time Series: Data Fusion With SAR and Temperature

In this study, a methodology based in a dynamical framework is proposed to incorporate additional sources of information to normalized difference vegetation index (NDVI) time series of agricultural observations for a phenological state estimation application. The proposed implementation is based on the particle filter (PF) scheme that is able to integrate multiple sources of data. Moreover, the dynamics-led design is able to conduct real-time (online) estimations, i.e., without requiring to wait until the end of the campaign. The evaluation of the algorithm is performed by estimating the phenological states over a set of rice fields in Seville (SW, Spain). A Landsat-5/7 NDVI series of images is complemented with two distinct sources of information: SAR images from the TerraSAR-X satellite and air temperature information from a ground-based station. An improvement in the overall estimation accuracy is obtained, especially when the time series of NDVI data is incomplete. Evaluations on the sensitivity to different development intervals and on the mitigation of discontinuities of the time series are also addressed in this work, demonstrating the benefits of this data fusion approach based on the dynamic systems.