Mean values and standard deviations of green LAI of agricultural fields in the Rur catchment (Germany) from remote sensing for seven dates in 2011

Field mean 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 the dataset in the article: rsfm.

The table
contains data on mean values and standard deviations of LAI for 24712 agricultural fields in
the fertile loess plain of the Rur catchment. The data is based on LAI data generated from
RapidEye remote sensing data (5 m resolution) using the method shown in Reichenau at al.
(2016) based on Hasan et al. (2014). Fields were defined as continuous areas with uniform land
use. Pixels with potential heterogeneous vegetation were excluded from the evaluation. For
this means, pixels from a 15 m resolution land use dataset (Lussem and Waldhoff, 2014), that
are not surrounded by the same land use type were marked as potentially mixed. Corresponding
pixels from the LAI dataset were removed prior to the calculation of the mean values and
standard deviations. Data is given for seven dates in 2011 where cloud-free scenes were
recorded for (almost) the entirety of the Rur-catchment. Since the remote sensing scenes do
not always cover the entirety of each field, the area of each field is given separately for
each date. RapidEye data were provided by the RapidEye Science Archive (RESA).

本数据集为Reichenau等人（2016）发表的《农田叶面积指数（Leaf Area Index, LAI）的空间异质性及其时间变化规律：结合野外实测、遥感与模拟的综合数据分析方法（CDAA）》中使用的遥感反演叶面积指数均值数据。该论文中数据集的命名为rsfm。

该数据集表格包含鲁尔河流域（Rur catchment）肥沃黄土平原上24712个农田地块的叶面积指数均值与标准差数据。本数据基于Reichenau等（2016）沿用Hasan等（2014）提出的方法，由分辨率为5米的RapidEye遥感数据反演得到的叶面积指数数据生成。

农田地块被定义为土地利用类型均一的连续区域。存在潜在植被异质性的像素将被排除在评估之外。为此，从15米分辨率土地利用数据集（Lussem与Waldhoff, 2014）中提取的周边土地利用类型不一致的像素会被标记为潜在混合像素。在计算叶面积指数的均值与标准差前，已将叶面积指数数据集中对应的此类像素移除。

数据集提供了2011年7个成像日期的数据，对应时段均获取了几乎覆盖鲁尔河流域全域的无云遥感影像。由于遥感影像并非总能覆盖每个农田地块的全部区域，因此会针对每个日期单独给出对应农田地块的面积。RapidEye数据由RapidEye科学档案馆（RapidEye Science Archive, RESA）提供。