全国16米/10天植被指数（2019-2021年）数据集

归一化差值植被指数(NDVI)通过测量近红外和红光之间的差异来量化植被，是植被遥感研究和应用的最重要参数之一，用于监测植被的结构、物候特征及生化理化参数的季节、年际及长期的变化等，在以下等方面均发挥重要作用。
太阳能监测
农作物长势评估
可用于估算作物产量和生物量；同时，可用于监测农作物生长状况，及时发现病虫害和缺水等问题。
森林资源管理
植被指数是估算森林碳储量的关键参数。同时，可用于评估森林面积和密度变化，监测森林火灾、病虫害和生物量变化。
气候变化研究
可用于评估全球和区域气候变化对植被的影响，且研究植被对气候变化的适应能力。

The Normalized Difference Vegetation Index (NDVI) quantifies vegetation by measuring the difference between near-infrared and red radiation. As one of the most critical parameters in vegetation remote sensing research and applications, NDVI is utilized to monitor seasonal, interannual and long-term variations in vegetation structure, phenological traits, and biochemical and physicochemical parameters, and plays a pivotal role in the following areas:

Solar energy monitoring

Crop growth assessment: NDVI can be employed to estimate crop yields and biomass. Moreover, it enables monitoring of crop growth status to timely identify issues such as plant diseases, insect pests and water deficits.

Forest resource management: As a core vegetation index, NDVI serves as a key parameter for estimating forest carbon stocks. It can also be used to assess changes in forest area and density, and monitor forest fires, pests and diseases as well as biomass dynamics.

Climate change research: NDVI can be employed to assess the impacts of global and regional climate change on vegetation, and investigate the adaptive capacity of vegetation to climate change.