Data for: Thermal imaging relative surface temperature as an indicator of plant species diversity and restoration progress

This dataset contains all data used in the manuscript by Hamberg, Fraser, Robinson, Trant and Murphy. The hypotheses is that surface temperature will decrease with increasing vegetation diversity, that native diversity is better at decreasing temperature and that surface temperature will decrease over time in restoration areas. We find support for all three of these hypotheses. The dataset contains one xls-file with multiple sheets. A summary of the sheets are presented below: 1. "LEF_veg_data_by_plot_2007-2018" - Includes all vegetation data used in the manuscript. This is a subset of all vegetation data provided by Nature Conservancy of Canada. Any missing data points have been removed and species richness and diversity only include when species were identified to species level. For the full dataset of all sampling done at the site contact me and I can put you in contact with the appropriate NCC staff to get permission to share. 2. "LEF_veg_temp_data_means" - The same data as above but taking the means of each plot transect. Mean relative surface temperature (TempPerM) and mean relative NDVI (NDVI_diff) is also included in this sheet. This data is what underlies the testing of the first and second hypotheses. The 'Type' column indicates if transect was in Active or Passive restoration. 3. "LEF_tempdata" - All temperature data used from the Lake Erie Farms site, including that of the mature forest reference areas. 4. "LEF_NDVIdata" - As above but for NDVI instead of temperature. 5. "ECOSTRESS_paired_data" - shows the diurnal temperature variation for the paired measurements from 2018 ECOSTRESS and (one) Landsat measurements (Paired_diff) for each restoration area and the days since restoration for each field. 6. "ECOSTRESS_all_data" - Same data but unpaired and including the second Landsat reading that was removed due to being taken in June, further away from the other readings seasonally. 7. "Temp_31_fields_post_restoration" - the relative temperature (%tempdiff) for all 31 restoration fields over time since restoration, including relative NDVI. Also includes the air temperature, humidity and wind speed from the Delhi, Ontario weather station as near as possible in time to when the image was taken. Also indicates if 100, >90% and >75% of each area was imaged correctly (i.e. no lost pixels or cloud cover within 200 meters of that pixel). Only areas with >75% of pixels remaining in both the restoration area and the paired mature forest area were retained. 8. "Temp_31_fields_pre_restoration" - Same as above but with the data from before restoration for each field. These sheets are divided as the statistical analysis was made separately on the pre-restoration and post-restoration data. 9. "Temp_31_incl_mature" - All data as above but also including temperature of the paired mature forest areas.本数据集包含Hamberg、Fraser、Robinson、Trant与Murphy所撰写的论文手稿中使用的全部数据。本研究提出三项核心假设：其一，地表温度将随植被多样性提升而降低；其二，本地物种多样性在降低地表温度方面的效果更优；其三，修复区域的地表温度会随时间推移下降。本研究结果为上述三项假设均提供了支撑。 本数据集包含一个包含多个工作表的.xls格式Excel文件，各工作表概况如下： 1. "LEF_veg_data_by_plot_2007-2018"：包含论文手稿中使用的全部植被数据。该数据集为加拿大自然保护协会（Nature Conservancy of Canada, NCC）提供的全部植被数据的子集，已剔除所有缺失数据点，且仅保留鉴定至物种水平的物种丰富度与多样性数据。如需获取该样地所有采样的完整数据集，请联系本人，本人将协助您联系NCC相关工作人员以获取共享权限。 2. "LEF_veg_temp_data_means"：与上述植被数据同源，但已计算每个样地样带的均值。该工作表同时包含平均相对地表温度（TempPerM）与平均相对归一化差分植被指数（NDVI_diff），为第一项与第二项假设的检验提供数据支撑。其中"Type"列用于标识样带属于主动修复（Active restoration）还是被动修复（Passive restoration）。 3. "LEF_tempdata"：包含来自伊利湖农场（Lake Erie Farms）样地的全部温度数据，其中包括成熟森林参考区域的温度数据。 4. "LEF_NDVIdata"：与上述温度数据对应，仅将温度数据替换为归一化差分植被指数（Normalized Difference Vegetation Index, NDVI）数据。 5. "ECOSTRESS_paired_data"：展示了2018年ECOSTRESS卫星与单景Landsat卫星配对观测数据的昼夜温度变化（Paired_diff），以及各修复区域自修复工程启动以来的天数。 6. "ECOSTRESS_all_data"：与上述配对数据同源，但未进行配对筛选，同时包含因拍摄时间为6月、与其他观测数据季节差异较大而被剔除的第二景Landsat观测数据。 7. "Temp_31_fields_post_restoration"：包含31个修复区域自修复工程启动以来的相对温度（%tempdiff）与相对归一化差分植被指数数据。同时纳入了拍摄时间最接近卫星成像时刻的安大略省德里（Delhi）气象站观测的气温、相对湿度与风速数据。该工作表还标注了各区域中100%、>90%与>75%区域成像完好（即该像素周边200米范围内无像素丢失或云覆盖）的情况。仅保留修复区域与配对成熟森林区域中像素留存率均高于75%的数据。 8. "Temp_31_fields_pre_restoration"：与上述工作表内容一致，但仅包含各修复区域修复前的数据。由于统计分析分别针对修复前与修复后数据开展，故将该工作表与前表分开呈现。 9. "Temp_31_incl_mature"：包含上述全部数据，同时额外纳入配对成熟森林区域的温度数据。