Data From Paper: "Life Cycle Of Bamboo In Southwestern Amazon And Its Relation To Fire Events".

This is the dataset from the paper "Life cycle of bamboo in southwestern Amazon and its relation to fire events". It contains: - The processed MODIS (MAIAC) time series for the southwest Amazon, already processed and ready to use for the modeling (files such as bamboo_ts_annual_2000-2017_band[...]). MODIS (MAIAC) composites for south america is not provided here because of its huge file size (contact [e-mail]). - Bamboo die-off detected from 2001-2017 using the simple bilinear model (files Theoric_death_year_band2 and Theoric_death_year_band5, and Theoric_pvalue_band2 and Theoric_pvalue_band5). To obtain the same map as in the Figure S3 in the paper, must apply the p < 0.001 over the death year map and combine the two maps. - Bamboo spatial distribution obtained by the die-off detection and live detection. In this map, values equal to 0, 1 and 2 correspond to non-bamboo, live bamboo and dead bamboo forests. - Bamboo die-off predictions from 2000-2028 using the empirical curves (files Empirical_death_year_band2_curves2 and Empirical_death_year_band5_curves2, and Empirical_p_value_band5_curves2 and Empirical_p_value_band5_curves2). To obtain the same map as in the paper, must apply the p < 0.001 over the death year map. More information contact Ricardo Dalagnol ([e-mail]).本数据集来自论文《亚马孙西南部竹子的生命周期及其与火灾事件的关联》。 本数据集包含以下内容： 1. 亚马孙西南部经预处理完毕的MODIS（MAIAC）时间序列数据，可直接用于建模（文件命名格式如bamboo_ts_annual_2000-2017_band[...]）。鉴于南美洲区域的MODIS（MAIAC）合成产品文件体量过大，本次未提供该数据集，有需求者可联系[e-mail]获取。 2. 2001-2017年间通过简单双线性模型检测得到的竹子枯衰数据，对应文件包括Theoric_death_year_band2、Theoric_death_year_band5，以及Theoric_pvalue_band2、Theoric_pvalue_band5。若需复现论文中图S3的结果，需将p值阈值设为小于0.001并应用于枯衰年份图层，随后合并两个波段的图层。 3. 通过枯衰检测与存活检测得到的竹子空间分布数据。该图层中，数值0、1、2分别代表非竹林、存活竹林与枯衰竹林。 4. 基于经验曲线得到的2000-2028年竹子枯衰预测数据，对应文件包括Empirical_death_year_band2_curves2、Empirical_death_year_band5_curves2，以及Empirical_p_value_band5_curves2、Empirical_p_value_band5_curves2。若需复现论文中的结果，需将p值阈值设为小于0.001并应用于枯衰年份图层。 如需获取更多相关信息，可联系Ricardo Dalagnol（邮箱：[e-mail]）。