Monitoring Crop Photosynthesis through Satellite-based Measurements of Sun-Induced Fluorescence (CropSIF)

通过基于卫星的太阳诱导荧光测量 (CropSIF) 监测作物光合作用

• 批准号: 391680706
• 负责人: Professorin Dr. Doris Dransch, since 7/2019
• 金额: --
• 依托单位: Nanjing University
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2018
• 资助国家: 德国
• 起止时间: 2017-12-31 至 2020-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/391680706?language=en
• 关键词: Monitoring; Crop; Photosynthesis; through; Satellite

Along with efforts to increase productivity of agricultural systems, there is a critical need for the development of new methods to monitor agricultural resources globally in a continuous and objective manner. In particular, crop photosynthesis (quantified as gross primary production, GPP) is an important variable for observation, as it places an upper limit for the supply of food and fuels by our agricultural systems and is a good indicator of crop yield and stress. Optical remote sensing techniques based on reflectance data have been used in the last decades to monitor agricultural resources. Spectral reflectance data enable the retrieval of canopy biochemical and structural parameters, which indicate potential photosynthesis and are the basis for the monitoring of vegetation condition and phenological stage at high spatial resolution. Based on this principle, the Sentinel-2 satellites (started in mid 2015) are expected to become the workhorse for operational crop monitoring in the next decades. However, it is recognized that remotely-sensed vegetation parameters based on spectral reflectance cannot capture the complex dynamics of a highly variable physiological measure such as photosynthesis. Complementing reflectance-based measurements, global space-based estimates of sun-induced chlorophyll fluorescence (SIF) became available recently. SIF has been shown to have a higher sensitivity to crop photosynthesis than any other existing remote sensing parameter or model. The launch of the Tropospheric Monitoring Instrument (TROPOMI) onboard the EU Copernicus Sentinel 5-Precursor by mid 2017 offers the possibility of monitoring SIF with a a much higher spatio-temporal resolution than any other mission,, which makes TROPOMI to have a game-changing potential for global monitoring of plant photosynthetic functioning in general, and crop productivity in particular. In combination, TROPOMI and Sentinel-2 will allow a global, observation-based picture of the photosynthetic functioning of crops, grasslands and rangelands with an unprecedented spatio-temporal resolution and accuracy. The CropSIF project will contribute to the assessment of agricultural productivity and climate impacts by taking advantage of this unique near-future observational scenario for crop monitoring. We will produce time-resolved maps of crop GPP, which will be subsequently exploited to study the effect of extreme climate events on crop productivity in several agricultural regions around the globe.

在努力提高农业系统生产力的同时，迫切需要开发新的方法，以持续和客观的方式监测全球农业资源。特别是，作物光合作用（量化为初级生产总值，GPP）是一个重要的观察变量，因为它为我们的农业系统提供了食物和燃料的上限，是作物产量和压力的良好指标。在过去的几十年里，基于反射率数据的光学遥感技术被用于监测农业资源。光谱反射率数据可用于获取指示潜在光合作用的冠层生化和结构参数，是高空间分辨率监测植被状况和物候阶段的基础。基于这一原则，哨兵2号卫星（2015年年中启动）预计将在未来几十年成为业务作物监测的主力。然而，人们认识到，基于光谱反射率的遥感植被参数不能捕捉到光合作用等高度可变的生理测量的复杂动态。作为对基于反射率的测量的补充，全球基于空间的太阳诱导叶绿素荧光（SIF）估计最近变得可用。SIF已被证明对作物光合作用具有比任何其他现有遥感参数或模型更高的敏感性。2017年年中，欧盟哥白尼哨兵5-前体卫星上的对流层监测仪器（TROPOMI）的发射，为监测SIF提供了比任何其他任务更高的时空分辨率，这使得TROPOMI在全球监测植物光合作用功能，特别是作物生产力方面具有改变游戏规则的潜力。TROPOMI和Sentinel-2的结合，将以前所未有的时空分辨率和精度，为农作物、草原和牧场的光合作用提供全球观测图像。CropSIF项目将利用这一独特的近未来观测情景进行作物监测，从而有助于评估农业生产力和气候影响。我们将制作作物GPP的时间分辨率图，随后将用于研究极端气候事件对全球几个农业地区作物生产力的影响。

项目成果

Estimating and understanding crop yields with explainable deep learning in the Indian Wheat Belt

• DOI: 10.1088/1748-9326/ab68ac
• 发表时间: 2020-02
• 期刊: Environmental Research Letters
• 影响因子: 6.7
• 作者: Aleksandra Wolanin;Gonzalo Mateo-García;Gustau Camps-Valls;L. Gómez-Chova;M. Meroni;Gregory Duveiller;You Liangzhi;L. Guanter