Remote Sensing Data and Agriculture Ground Truths

The dataset provides detailed information for wheat crop monitoring in the Karnal District, India, spanning the period from 2010 to 2022. It is divided into four main components. The first component, Remote Sensing Data, includes Sentinel-2 (10 m resolution) satellite data averaged over village boundaries, specifically over a wheat crop mask. This folder contains two Excel files: one for NDVI (Normalized Difference Vegetation Index) and another for NDWI (Normalized Difference Water Index), both providing fortnightly data during the Rabi season across a 10-year period. The second component, Ground Truth, offers village-level wheat yield estimates for the years 2019-2020 and 2020-2021. The third component, Weather Data, covers meteorological parameters in the Karnal District from 2001 to 2020. Lastly, the Coordinate-wise Data component provides geographic coordinates for wheat fields in the Rabi season of 2020-2021, consisting of 443 datapoints. This dataset supports in-depth analysis of remote sensing data, crop yields, weather patterns, and field-specific information for wheat cultivation during the Rabi season.

本数据集为印度卡纳尔（Karnal）地区2010至2022年的小麦作物监测提供详细数据支撑，共分为四大核心模块。第一模块为遥感数据（Remote Sensing Data），包含以村庄边界为聚合单元、针对小麦种植区掩膜的哨兵-2（Sentinel-2，10米分辨率）卫星影像数据。该文件夹内含两份Excel文件，分别对应归一化植被指数（NDVI, Normalized Difference Vegetation Index）与归一化水体指数（NDWI, Normalized Difference Water Index），提供了10年间拉比（Rabi）季每两周一次的观测数据。第二模块为地面实测数据（Ground Truth），提供了2019-2020与2020-2021两个年度的村级小麦单产估算值。第三模块为气象数据（Weather Data），涵盖2001至2020年卡纳尔地区的气象参数记录。第四模块为逐坐标数据（Coordinate-wise Data），包含2020-2021年拉比季小麦田块的地理坐标信息，共计443条数据记录。本数据集可支撑拉比季小麦种植的遥感数据分析、作物单产、气象模式及田块级专项信息的深度研究。