Dataset of Drought and Flood Impact on Croplands in Southeast Asia between 1980 to 2019

Droughts and floods have been intensified in recent years and adversely affected agriculture sectors, but only a handful of studies exist to assess their impacts on croplands and production. The purpose of our dataset is to help researchers and scientists to access the temporal climate data geographically and assess the climate change and its impact on croplands in the Monsoon Climate Region (MCR) and Equatorial Climate Region (ECR) of Southeast Asia (SEA) during the crop growing seasons over 40 years period. Here, we used TerraClimate global high-resolution gridded Palmer Drought Severity Index (PDSI) datasets in Google Earth Engine and assessed the droughts and floods and their impacts on rainfed croplands and crop production in SEA. The Global Food Security-support Analysis cropland data in the GEE was used to assess drought damages on rainfed croplands and crop production. We created over 47,192 grid points geographically with a 10 × 10-kilometer resolution, in order to calculate the drought and flood impact on rainfed croplands during the primary crop-growing seasons in the MCR and ECR of SEA. In this data tree datasets were including, two raw data and Geographic Information System (GIS) shapefile data. The first raw dataset folder contains monthly temporal Palmar drought Severity index (PDSI) by country between 1980 to 2019, while the second raw gridded point dataset covers average drought frequencies by 10 km × 10 km geographically in MCR (Myanmar, Thailand, Lao PDR, Cambodia, and Vietnam) and ECR (Malaysia, Singapore, Indonesia, the Philippines, and Brunei Darussalam) regions with five years interval between 1980 to 2019 . The third data in GIS Shapefile format (GIS data folder) comprehends drought and their severities levels on rainfed croplands by country in SEA in 2010. The maps data in Maps folder which represents severity classes of drought and wet conditions (floods) impact on rainfed croplands, and the level of need for policy interventions by country in the MCR and ECR countries in SEA .近年来，干旱与洪涝灾害愈发频发，对农业部门造成了严重负面影响，但目前仅有少量研究评估了二者对农田及作物产量的影响。本数据集旨在帮助研究人员与科研人员获取地理分布的时序气候数据，以评估东南亚（Southeast Asia, SEA）季风气候区（Monsoon Climate Region, MCR）与赤道气候区（Equatorial Climate Region, ECR）近40年来作物生长季的气候变化及其对农田的影响。本研究借助Google Earth Engine（GEE）平台，采用TerraClimate全球高分辨率格点化帕尔默干旱严重度指数（Palmer Drought Severity Index, PDSI）数据集，分析了东南亚地区的干旱与洪涝灾害及其对雨养农田和作物产量的影响。同时，我们使用GEE平台上的全球粮食安全支撑分析农田数据，评估了干旱对雨养农田及作物产量造成的损失。为计算东南亚季风气候区与赤道气候区主要作物生长季内干旱与洪涝对雨养农田的影响，我们构建了总计47192个分辨率为10×10千米的地理格点。 本数据集包含三类数据：两份原始数据集与一份地理信息系统（Geographic Information System, GIS）矢量SHP格式数据。第一份原始数据集文件夹存储了1980年至2019年间各国逐月时序帕尔默干旱严重度指数数据；第二份原始格点数据集则覆盖了1980年至2019年间每5年一次的、分辨率为10×10千米的格点干旱频率均值数据，涵盖东南亚季风气候区（缅甸、泰国、老挝人民民主共和国、柬埔寨、越南）与赤道气候区（马来西亚、新加坡、印度尼西亚、菲律宾、文莱达鲁萨兰国）。第三份数据为GIS SHP格式数据（GIS数据文件夹），包含2010年东南亚各国雨养农田的干旱及其严重程度分级信息。 地图文件夹中存储的地图数据，展示了干旱与湿润（洪涝）状况对雨养农田的影响严重度分级，以及东南亚季风气候区与赤道气候区各国所需的政策干预等级。