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首页> 外文期刊>Engenharia Agrícola >CROP DATA RETRIEVAL USING EARTH OBSERVATION DATA TO SUPPORT AGRICULTURAL WATER MANAGEMENT
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CROP DATA RETRIEVAL USING EARTH OBSERVATION DATA TO SUPPORT AGRICULTURAL WATER MANAGEMENT

机译：使用地球观测数据检索作物数据以支持农业用水管理

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摘要

Accurate crop data are essential for reliable irrigation water requirements (IWR) calculations, which can be acquired during the crop growth season for a given region using earth observation (EO) satellite time series. In addition, a relationship between crop coefficients and the NDVI can be established to allow for crop evapotranspiration estimation. The main objective of the present work was to develop a methodology, and its implementation in an application software, to extract crop parameters from EO image time series for a set of parcels of different types of crops, to be used as input data for a soil water balance model to compute IWR. The methodology was tested at two distinct test sites, the Vila Franca de Xira (site I) and Vila Velha de Ród?o (site II) municipalities, Portugal. Landsat-7 and ?8 images acquired from April to October 2013 were used for site I, while SPOT-5 Take-5 images from April to September 2015 were considered for site II. EO data were used to estimate the basal crop coefficients, planting dates, and crops growth stage lengths. Based on crop, soil and meteorological data, the IWR for the main crops of both test regions were estimated using the IrrigRotation model. The crop coefficient curves obtained from the EO data proved to be reliable for IWR estimation.
机译：准确的作物数据对于可靠的灌溉需水量（IWR）计算至关重要，可以使用地球观测（EO）卫星时间序列在给定区域的作物生长季节获得该数据。另外，可以建立作物系数和NDVI之间的关系，以进行作物蒸散估算。本工作的主要目的是开发一种方法及其在应用软件中的实现，以从EO图像时间序列中提取一组不同类型的农作物的作物参数，用作土壤的输入数据。水平衡模型来计算IWR。该方法学在两个不同的测试地点进行了测试，葡萄牙的Vila Franca de Xira（地点I）和Vila Velha deRód？o（地点II）。 I站点使用2013年4月至10月获取的Landsat-7和？8图像，而II站点使用2015年4月至9月获取的SPOT-5 Take-5图像。 EO数据用于估计基础作物系数，播种日期和作物生长期。根据作物，土壤和气象数据，使用IrrigRotation模型估算了两个试验区主要作物的IWR。从EO数据获得的作物系数曲线被证明对于IWR估计是可靠的。

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