2021年全国250m绿肥潜在种植区数据集

基于MODIS遥感产品，使用SG滤波方法产生平滑后的植被指数序列，根据植被指数序列形状确定2019~2021年耕地常规休耕期，再根据豆科、非豆科绿肥作物的生长积温与最大/最低温阈值限制提取在常规休耕期内的潜在绿肥种植区，生成了2021年全国250m绿肥潜在种植区数据集。数据集文件命名中包含绿肥类别(legume-豆科绿肥，nonlegume-非豆科绿肥)和潜在种植期(summer-夏季播种，winter-冬季播种)信息；分类代码：1值代表潜在绿肥种植区，0值代表非潜在种植区。

Based on MODIS remote sensing products, the Savitzky-Golay (SG) filtering method was employed to generate smoothed vegetation index sequences. The conventional fallow periods of cultivated land from 2019 to 2021 were determined based on the morphological characteristics of these vegetation index sequences. Furthermore, potential green manure planting areas within the conventional fallow periods were extracted by applying constraints of growth accumulated temperature and maximum/minimum temperature thresholds for legume and non-legume green manure crops. Ultimately, a national 250-meter green manure potential planting area dataset for the year 2021 was developed. The filenames of the dataset files include information on green manure categories (legume for legume green manure, nonlegume for non-legume green manure) and potential planting seasons (summer for summer sowing, winter for winter sowing). The classification code is defined as follows: value 1 denotes potential green manure planting areas, while value 0 denotes non-potential planting areas.

搜集汇总

背景与挑战

背景概述

该数据集为2021年全国250m分辨率的绿肥潜在种植区数据，通过遥感技术识别豆科和非豆科绿肥的潜在种植区域，并区分夏季和冬季播种期，分类代码明确区分潜在与非潜在种植区。