Evaluating the potential of GeoEye data in retrieving LAI at watershed scale

Aquilino, Mariella; Novelli, Antonio; Tarantino, Eufemia; Iacobellis, Vito; Gentile, Francesco

doi:10.1117/12.2067185

Cited by 18 publications

(10 citation statements)

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“…For consistency, each data set was used separately. The Leaf Area Index (LAI) use in agricultural management is an active topic in the scientific community [50,52,53]. The level-4 MODIS global LAI and Fraction of Photosynthetically Active Radiation (FPAR) product (MOD15A2) is provided every 8 days at 1-km resolution on a Sinusoidal grid.…”

Section: Economic Datamentioning

confidence: 99%

“…A complete description of the Landsat data computation is beyond the scope of this paper; however, further details for the ANNC procedure can be found in [46,50], which followed the same classification procedure ( Figure 3). The Leaf Area Index (LAI) use in agricultural management is an active topic in the scientific community [50,52,53]. The level-4 MODIS global LAI and Fraction of Photosynthetically Active Radiation (FPAR) product (MOD15A2) is provided every 8 days at 1-km resolution on a Sinusoidal grid.…”

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confidence: 99%

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Durum Wheat Cover Analysis in the Scope of Policy and Market Price Changes: A Case Study in Southern Italy

et al. 2017

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Agricultural land systems are the result of human interactions with the natural environment, and subjective evidence of socio-economic and environmental interactions has been demonstrated. Nevertheless, it is still difficult to analyze empirically the link between agricultural market and policy, as well as the environmental response due to changes in crop management by local stakeholders. In this study, we propose a cross investigation and analysis to bring the link between vegetation cover, policy, market and farmer's behavior to light. Our methodology is a combination of a rational positive and analogical approach between the quantifiable and non-quantifiable agents on a temporal basis. The method is applied to a dominant mono-crop agricultural watershed in Southern Italy that has been dedicated to durum wheat cultivation. In this region, we studied the relationship between the Common Agricultural Policy (CAP), durum wheat market price, vegetation cover and land allocation. As a first step, we conducted a separate analysis for each factor, exploiting Moderate Resolution Imaging Spectroradiometer (MODIS) satellite observed Leaf Area Index (LAI) to analyze the land vegetation space-time distribution over the period 2000-2014 and three Land Satellite (Landsat) validated images as check-points for the agricultural pattern and CAP's reforms. We used the Farm Accountancy Data Network (FADN) and Eurostat data to investigate the on-farm accountancy and the durum wheat market price changes, respectively. Based on the study period, we developed a storyline of the major relevant CAP's policy changes. In a second step, we conducted a comparative analysis where the CAP's reforms were used as interpretational support, the land allocation and the on-farm accountability for CAP's implementation, the price of durum wheat and the LAI for analytical comparison. We found interesting insights regarding the non-agronomic driving forces of LAI dynamics. The behavior of the individual farmers is influenced by the CAP policy that has been implemented by using profitability as the stimulus for the decision making of the farmer. This explains the correlation of the trend between the market price, the LAI of durum wheat and their associated dynamics.

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Section: Economic Datamentioning

confidence: 99%

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confidence: 99%

Durum Wheat Cover Analysis in the Scope of Policy and Market Price Changes: A Case Study in Southern Italy

et al. 2017

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“…Vegetation indices were used to enhance the detection of vegetated areas: leaf area index (LAI) and modified soil adjusted vegetation index (MSAVI). LAI is commonly used in agronomic and environmental modeling [36][37][38][39][40][41]. In this study, LAI was evaluated through a semi-empirical model derived from the Lambert-Beer law (1): LANDSAT-TM digital numbers were firstly converted to Top of Atmosphere (TOA) reflectance and corrected for sun elevation angle by using gains, offsets, and brightness temperature coefficients provided in each scene metadata and related standard procedures suggested by the USGS [34].…”

Section: Landsat Data Processingmentioning

confidence: 99%

“…LAI is commonly used in agronomic and environmental modeling [36][37][38][39][40][41]. In this study, LAI was evaluated through a semi-empirical model derived from the Lambert-Beer law (1):…”

Section: Landsat Data Processingmentioning

confidence: 99%

Land Use Change Impact on Flooding Areas: The Case Study of Cervaro Basin (Italy)

et al. 2016

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Abstract:The main goal of this paper is to study the effect of the spatio-temporal changes of Land Use/Land Cover (LULC) within the hydrologic regime of the Cervaro basin in Southern Italy. LANDSAT Thematic Mapper (TM) imagery acquisition dates from 1984, 2003, 2009, and 2011 were selected to produce LULC maps covering a time trend of 28 years. Nine synthetic bands were processed as input data identified as the most effective for the Artificial Neural Network (ANN) classification procedure implemented in this case study. To assess the possible hydrological effects of the detected changes during rainfall events, a physically-based lumped approach for infiltration contribution was adopted within each sub-basin. The results showed an increase in flood peak and a decrease of the rangelands, forests, and bare lands between 1984 and 2011, indicating a good correlation between flooding areas and land use changes, even if it can be considered negligible in basins of large dimensions. These results showed that the impact of land use on the hydrological response is closely related to watershed scale.

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“…Cerris L., respectively), along with pasture, meadow, and coniferous species, cover the higher slopes. Wheat cultivation, and to a lesser extent, agricultural crops and olive groves are the predominant cultivation systems in the plain and low hilly areas [48]. The most frequent tree species in the riparian buffers are elm (Ulmus minor Mill.…”

Section: Introductionmentioning

confidence: 99%

Influence of Different Satellite Imagery on the Analysis of Riparian Leaf Density in a Mountain Stream

2020

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In recent decades, technological advancements in sensors have generated increasing interest in remote sensing data for the study of vegetation features. Image pixel resolution can affect data analysis and results. This study evaluated the potential of three satellite images of differing resolution (Landsat 8, 30 m; Sentinel-2, 10 m; and Pleiades 1A, 2 m) in assessing the Leaf Area Index (LAI) of riparian vegetation in two Mediterranean streams, and in both a winter wheat field and a deciduous forest used to compare the accuracy of the results. In this study, three different retrieval methods—the Caraux-Garson, the Lambert-Beer, and the Campbell and Norman equations—are used to estimate LAI from the Normalized Difference Vegetation Index (NDVI). To validate sensor data, LAI values were measured in the field using the LAI 2200 Plant Canopy Analyzer. The statistical indices showed a better performance for Pleiades 1A and Landsat 8 images, the former particularly in sites characterized by high canopy closure, such as deciduous forests, or in areas with stable riparian vegetation, the latter where stable reaches of riparian vegetation cover are almost absent or very homogenous, as in winter wheat fields. Sentinel-2 images provided more accurate results in terms of the range of LAI values. Considering the different types of satellite imagery, the Lambert-Beer equation generally performed best in estimating LAI from the NDVI, especially in areas that are geomorphologically stable or have a denser vegetation cover, such as deciduous forests.

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Evaluating the potential of GeoEye data in retrieving LAI at watershed scale

Cited by 18 publications

References 0 publications

Durum Wheat Cover Analysis in the Scope of Policy and Market Price Changes: A Case Study in Southern Italy

Durum Wheat Cover Analysis in the Scope of Policy and Market Price Changes: A Case Study in Southern Italy

Land Use Change Impact on Flooding Areas: The Case Study of Cervaro Basin (Italy)

Influence of Different Satellite Imagery on the Analysis of Riparian Leaf Density in a Mountain Stream

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