新昌县茶园遥感监测应用数据

为茶园种植地块信息计算与核查提供遥感监测智能应用服务对茶园地块各属性进行匹配与归集，将要素分配给相应的镇街和村社区，并且可视化点位在空间上的分布情况。在此基础上，对镇街、村社区的点位进行时间累加、状态标记、类型标记，从而得到地块的数量变化、分布变化等动态数据。以智能识别的茶园地块矢量边界为基础，根据茶园区域的像素数量，结合遥感影像的分辨率和比例尺，计算茶园面积。从处理后的遥感影像中提取地物光谱特征，根据专门的地物光谱数据库计算植被指数，收集茶园的历史产量数据，并对应到相应的植被指数。通过统计分析，找出植被指数与茶叶产量之间的相关性。根据建立的模型，将新获取的遥感影像植被指数代入预测模型中，实现茶叶年产量预测。

This intelligent remote sensing monitoring application service is developed for the calculation and verification of tea plantation plot information. Firstly, it matches and aggregates various attributes of tea plantation plots, assigns the plot elements to corresponding towns, subdistricts, villages and communities, and visualizes the spatial distribution of these plots. Subsequently, temporal accumulation, status tagging and type tagging are conducted on the plots under each of these administrative units to derive dynamic data including changes in plot quantity and spatial distribution. Based on the intelligently identified vector boundaries of tea plantation plots, the area of tea plantations is calculated by utilizing the number of pixels within the tea plantation regions, combined with the resolution and scale of the preprocessed remote sensing images. Next, spectral features of ground objects are extracted from the preprocessed remote sensing images, and vegetation indices are computed with reference to a specialized ground object spectral database. Historical tea yield data are collected and matched with the corresponding vegetation indices. Statistical analysis is performed to uncover the correlation between vegetation indices and tea yield. Finally, based on the established prediction model, the newly acquired vegetation indices from remote sensing images are input into the model to achieve annual tea yield prediction.

搜集汇总

数据集介绍

特点

新昌县茶园遥感监测应用数据包含102条记录，每年更新，主要用于茶园种植地块的遥感监测和智能应用服务，涉及茶园的地理坐标、面积、类别和产量等信息。