Berechnung des Pflanzenwasserbedarfs für Sommerfeldfrüchte mittels Fernerkundungsdaten - Eine Fallstudie in der Marchfeld-Region

Neugebauer, Nikolaus; Vuolo, Francesco

doi:10.1127/1432-8364/2014/0230

Cited by 6 publications

(2 citation statements)

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“…17 • E). The site is a major agricultural production area in Austria with cropland occupying 60,000ha, of which about 21,000ha are irrigated regularly with groundwater throughout the growing season [64]. The region is characterized by a semi-arid climate representing the driest region of Austria.…”

Section: Marchfeld Sitementioning

confidence: 99%

Gaussian processes retrieval of LAI from Sentinel-2 top-of-atmosphere radiance data

Estévez

Vicent

Rivera-Caicedo

et al. 2020

ISPRS Journal of Photogrammetry and Remote Sensing

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Retrieval of vegetation properties from satellite and airborne optical data usually takes place after atmospheric correction, yet it is also possible to develop retrieval algorithms directly from top-of-atmosphere (TOA) radiance data. One of the key vegetation variables that can be retrieved from at-sensor TOA radiance data is leaf area index (LAI) if algorithms account for variability in atmosphere. We demonstrate the feasibility of LAI retrieval from Sentinel-2 (S2) TOA radiance data (L1C product) in a hybrid machine learning framework. To achieve this, the coupled leaf-canopyatmosphere radiative transfer models PROSAIL-6S were used to simulate a look-up table (LUT) of TOA radiance data and associated input variables. This LUT was then used to train the Bayesian machine learning algorithms Gaussian processes regression (GPR) and variational heteroscedastic GPR (VHGPR). PROSAIL simulations were also used to train GPR and VHGPR models for LAI retrieval from S2 images at bottom-of-atmosphere (BOA) level (L2A product) for comparison purposes. The BOA and TOA LAI products were consistently validated against a field dataset with GPR (R 2 of 0.78) and with VHGPR (R 2 of 0.80) and for both cases a slightly lower RMSE for the TOA LAI product. Because of delivering superior accuracies and lower uncertainties, VHGPR was further applied for LAI mapping using S2 acquisitions over the agricultural sites Marchfeld (Austria) and Barrax (Spain). The VHGPR models led to consistent LAI maps at BOA and TOA scale. The LAI maps were also compared against LAI maps as generated by the SNAP toolbox, which is based on a neural network (NN). Maps were again consistent, however the SNAP NN algorithm tend to overestimate over dense vegetation cover. Overall, this study demonstrated that hybrid LAI retrieval algorithms can be developed from TOA radiance data given a cloud-free sky, thus without the need of atmospheric correction. To the benefit of the community, the development of such hybrid algorithms for the retrieval vegetation properties from BOA or TOA images has been streamlined in the freely downloadable ALG-ARTMO software framework.

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Section: Marchfeld Sitementioning

confidence: 99%

Gaussian processes retrieval of LAI from Sentinel-2 top-of-atmosphere radiance data

Estévez

Vicent

Rivera-Caicedo

et al. 2020

ISPRS Journal of Photogrammetry and Remote Sensing

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“…A summary graph is provided in Figure 7. Taking into account only the 20,000 ha that are regularly irrigated in the region of Marchfeld (Neugebauer and Vuolo, 2014) and depending on the type of satellite data used, the service would have an estimated cost ranging between 2.5 and 4.3 e/ha per year. Instead, considering the total area of the Marchfeld region (40,000 ha) and the use of free data (possible with Landsat-8 and Sentinel-2 in operation), the service would have a cost of approximately 1.3 e/ha per year.…”

Section: Costsmentioning

confidence: 99%

Costs and benefits of satellite-based tools for irrigation management

Vuolo

Essl

Atzberger

2015

Front. Environ. Sci.

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This paper presents the results of a collaborative work with farmers and a cost-benefit analysis of geospatial technologies applied to irrigation water management in a semi-arid agricultural area in Lower Austria. We use Earth observation (EO) data to estimate crop evapotranspiration (ET) and webGIS technologies to deliver maps and irrigation advice to farmers. The study reports the technical and qualitative evaluation performed during a demonstration phase in 2013 and provides an outlook to future developments. The calculation of the benefits is based on a comparison of the irrigation volumes estimated from satellite vs. the irrigation supplied by the farmers. In most cases, the amount of water supplied was equal to the maximum amount of water required by crops. At the same time high variability was observed for the different irrigation units and crop types. Our data clearly indicates that economic benefits could be achieved by reducing irrigation volumes, especially for water-intensive crops. Regarding the qualitative evaluation, most of the farmers expressed a very positive interest in the provided information. In particular, information related to crop ET was appreciated as this helps to make better informed decisions on irrigation. The majority of farmers (54%) also expressed a general willingness to pay, either directly or via cost sharing, for such a service. Based on different cost scenarios, we calculated the cost of the service. Considering 20,000 ha regularly irrigated land, the advisory service would cost between 2.5 and 4.3 e/ha per year depending on the type of satellite data used. For comparison, irrigation costs range between 400 and 1000 e/ha per year for a typical irrigation volume of 2000 cubic meters per ha. With a correct irrigation application, more than 10% of the water and energy could be saved in water-intensive crops, which is equivalent to an economic benefit of 40-100 e/ha per year.

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Calibration of the CLAIR Model by Using Landsat 8 Surface Reflectance Higher-Level Data and MODIS Leaf Area Index Products

Peschechera

Novelli

Caradonna

et al. 2017

Computational Science and Its Applications – ICCSA 2017

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Berechnung des Pflanzenwasserbedarfs für Sommerfeldfrüchte mittels Fernerkundungsdaten - Eine Fallstudie in der Marchfeld-Region

Cited by 6 publications

References 0 publications

Gaussian processes retrieval of LAI from Sentinel-2 top-of-atmosphere radiance data

Gaussian processes retrieval of LAI from Sentinel-2 top-of-atmosphere radiance data

Costs and benefits of satellite-based tools for irrigation management

Calibration of the CLAIR Model by Using Landsat 8 Surface Reflectance Higher-Level Data and MODIS Leaf Area Index Products

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