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Remotely Sensed Methodologies for Crop Water Availability and Requirements in Precision Farming of Vulnerable Agriculture

机译:弱势农业精确农业中作物可用水和需求的遥感方法

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Agriculture is mainly impacted by water availability. Differences in climate conditions and the appearance of severe events, like droughts, has a significant imprint on local, regional and global agricultural productivity. The goal of this paper is to present remotely sensed approaches for water availability and requirements in vulnerable agriculture. Earth Observation (EO) data contribute to precision agriculture for efficient crop monitoring and irrigation management. A drought susceptible region considered as vulnerable farming was chosen, in the Thessaly prefecture in Central Greece. Water availability is measured by means of precipitation frequency examination and drought estimation. Crop water requirements are measured by assessing crop evapotranspiration (ET) with the synergistic use of WV-2 satellite images and ground-truth data. The remote-based ETcsat is assessed by utilizing the reference ETo derived from Food and Agriculture Organization (FAO) methodology, while the meteorological data and Kc are evolved from Normalized Difference Vegetation Index (NDVI). According to the rainfall frequency studies, indicators demonstrate a significant precipitation decrease. The results reveal the importance of water availability estimation for facing agriculture water needs and the necessity for monitoring of drought conditions in a vulnerable Mediterranean area in order to plan an integrated strategy for climate adaptation. Moreover, the conclusions clarify the usefulness of collaborating innovative very high spatial and sperctral resolution EO images along with ground-truth data for crop ET monitoring and also the assimilation into the precision agriculture methodology which is valuable for optimal agricultural production.
机译:农业主要受到水供应的影响。气候条件的差异和干旱等严重事件的出现,对当地,区域和全球农业生产力产生了重大影响。本文的目的是提出遥感方法,以解决脆弱农业中的水供应和需求问题。地球观测(EO)数据有助于精确农业,以进行有效的作物监测和灌溉管理。在希腊中部的色萨利县,选择了一个干旱敏感地区,被认为是脆弱的农业。可用水量通过降水频率检查和干旱估算来测量。通过协同使用WV-2卫星图像和地面真相数据评估作物的蒸散量(ET)来测量作物的需水量。通过使用从粮食及农业组织(FAO)方法获得的参考ETo对基于远程的ETcsat进行评估,而气象数据和Kc是从归一化植被指数(NDVI)演变而来的。根据降雨频率研究,指标表明降水量明显减少。结果表明,估计可用水量对于满足农业用水需求非常重要,并且有必要监测脆弱的地中海地区的干旱状况,以计划一项综合的气候适应战略。此外,结论阐明了将创新的非常高的空间和精分辨率的EO图像与地面实况数据进行协作以用于作物ET监测以及同化为精确农业方法的有用性,这对于优化农业生产非常有用。

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