Remote sensing green LAI of arable land in the Rur catchment (Germany) on 5 m spatial resolution for seven dates in 2011

LAI from remote sensing used in Reichenau et al. (2016),
"Spatial Heterogeneity of Leaf Area Index (LAI) and its Temporal Course on Arable Land:
Combining Field Measurements, Remote Sensing and Simulation in a Comprehensive Data Analysis
Approach (CDAA)". Name of th dataset in the article: rs5m.

The dataset contains LAI
for the arable area of the northern part of the Rur catchment (Juelicher Boerde). The data (5
m resolution) was generated from RapidEye remote sensing data using a method described by
Hasan et al. (2014) as shown in Reichenau at al. (2016). Pixels with potentially heterogeneous
vegetation, were excluded from the evaluation. For this means, pixels from a 15 m resolution
land use dataset (Lussem and Waldhoff, 2014), which are not surrounded by the same land use
type were marked as potentially mixed. Corresponding pixels from the LAI dataset were removed.
RapidEye data were provided by the RapidEye Science Archive (RESA).

The zip-file
contains separate files for seven dates in 2011 where cloud-free scenes were recorded for
(almost) the entirety of the Rur-catchment. Each file is accompanied by a landuse file. For
additional information including filenames etc. read the included README file. Spatial
resolution: 5 m; Projection: WGS84, UTM Zone 32N.