Modelling the ground-LAI to satellite-NDVI (Sentinel-2) relationship considering variability sources due to crop type (Triticum durum L., Zea mays L., and Medicago sativa L.) and farm management

Peppo, Margherita De; Dragoni, Federico; Volpi, Iride; Mantino, Alberto; Giannini, Vittoria; Filipponi, Federico; Tornato, Antonella; Valentini, Emiliana; Xuan, A. Nguyen; Taramelli, Andrea; Ragaglini, Giorgio

doi:10.1117/12.2533446

Cited by 5 publications

(4 citation statements)

References 37 publications

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“…Thus, having information from hyperspectral sensor spreading on the full spectrum, the Copernicus hyperspectral Sentinel evolution shall provide detailed observations of key properties of terrestrial surface and specifically related to topsoil (0-30 cm) properties, such as texture (clay, silt, and sand) and soil organic content (SOC), and vegetation biophysical variables (canopy water content, leaf and canopy pigment content, leaf mass/area). The "AF" thematic area needs an improved management of natural resources at the local to regional scale specifically on soil properties, indirectly using vegetation indices [8] and directly through the imaging of bare soils [9] or temporal variability in phenology and canopy variations [11][12][13].…”

Section: Discussionmentioning

confidence: 99%

“…For instance, spectral signatures of different surface types and targets can be used to provide information on (i) chemical properties of soil and rock [8,9]; (ii) hydromorphological features of river systems at multiple scales [10]; (iii) pigment composition and chlorophyll fluorescence [11][12][13]; and (iv) land-cover and land-use variability [11]. These information have become crucial to support:…”

Section: Introductionmentioning

confidence: 99%

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An Interaction Methodology to Collect and Assess User-Driven Requirements to Define Potential Opportunities of Future Hyperspectral Imaging Sentinel Mission

Taramelli

Tornato

Magliozzi³

et al. 2020

Remote Sensing

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Evolution in the Copernicus Space Component is foreseen in the mid-2020s to meet priority user needs not addressed by the existing infrastructure, and/or to reinforce existing services. In this context, the European Commission is intending to evaluate the overall potential utility of a complementary Copernicus hyperspectral mission to be added to the Copernicus Sentinels fleet. Hyperspectral imaging is a powerful remote sensing technology that, allowing the characterization and quantification of Earth surface materials, has the potential to deliver significant enhancements in quantitative value-added products. This study aims to illustrate the interaction methodology that was set up to collect and assess user-driven requirements in different thematic areas to demonstrate the potential benefit of a future Copernicus hyperspectral mission. Therefore, an ad hoc interaction matrix was circulated among several user communities to gather preferences about hyperspectral-based products and services. The results show how the involvement of several user communities strengthens the identification of these user requirements. Moreover, the requirement evaluation is used to identify potential opportunities of hyperspectral imaging in addressing operational needs associated with policy obligations at European, national, and local levels. The frequency distribution of spectral range classes and spatial and temporal resolutions are also derived from the preference expressed by the user communities in each thematic area investigated.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Interaction Methodology to Collect and Assess User-Driven Requirements to Define Potential Opportunities of Future Hyperspectral Imaging Sentinel Mission

Taramelli

Tornato

Magliozzi³

et al. 2020

Remote Sensing

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“…Thus, the northeast part of LAI not showing a significant increase might be due to the large proportion of grassland and unused land. Many studies found that LAI and NDVI exist in multiple functional relationships for different vegetation types (De Peppo et al, 2019;Rees et al, 2020). However, the LAI decreased area of the southwest part was larger than FVC decreased area (Figures 4A,B), which is partly due to the reduced cropland proportion in 2000-2010.…”

Section: The Spatiotemporal Variations and Distance Characteristic Of...mentioning

confidence: 94%

Spatiotemporal Variations of Ecosystem Service Indicators and the Driving Factors Under Climate Change in the Qinghai–Tibet Highway Corridor

Yang

Zhu

Zhang

et al. 2022

Front. Environ. Sci.

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In recent decades, the influence of climate change and human activities on the ecosystem services (ES) in the Qinghai–Tibet Plateau (QTP) has been extensively investigated. However, few studies focus on linear traffic corridor area, which is heavily affected by human activities. Taking the Golmud–Lhasa national highway corridor as a case, this study investigated the land-use and land-cover change (LUCC) and spatiotemporal variations of ES indicators using ecosystem indices of fractional vegetation cover (FVC), leaf area index (LAI), evapotranspiration (ET), and net primary productivity (NPP) from 2000 to 2020. The results indicated that LUCC was faster in the last decade, mostly characterized by the conversion from grassland to unused land. In buffer within 3000 m, the proportions of productive areas represented the increased trends with distance. In terms of ES variations, the improved areas outweighed the degraded areas in terms of FVC, LAI, and NPP from 2000 to 2020, mostly positioned in the Qinghai Province. In addition, FVC, LAI, and NPP peaked at approximately 6000 m over time. With regard to influencing factors, precipitation (20.54%) and temperature (14.19%) both positively influenced the spatiotemporal variation of FVC. Nearly 60% of the area exhibited an increased NPP over time, especially in the Qinghai Province, which could be attributed to the temperature increase over the last two decades. In addition, the distance effects of climatic factors on ES indicators exhibited that the coincident effects almost showed an opposite trend, while the reverse effects showed a similar trend. The findings of this study could provide a reference for the ecological recovery of traffic corridors in alpine fragile areas.

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“…However, NDVI has saturation as its limit at high values. On the other hand, vegetation's biophysical characteristics, such as the canopy structure and photosynthetic capacity, are well described by the leaf area index (LAI) largely used in agricultural studies in heterogeneous smallholder and fragmented agroecosystems [12,13].…”

Section: Introductionmentioning

confidence: 99%

Cropland Mapping Using Earth Observation Derived Phenological Metrics

Filipponi

Smiraglia

Mandrone

et al. 2021

The 1st International Electronic Conference on Agronomy

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Modelling the ground-LAI to satellite-NDVI (Sentinel-2) relationship considering variability sources due to crop type (Triticum durum L., Zea mays L., and Medicago sativa L.) and farm management

Cited by 5 publications

References 37 publications

An Interaction Methodology to Collect and Assess User-Driven Requirements to Define Potential Opportunities of Future Hyperspectral Imaging Sentinel Mission

An Interaction Methodology to Collect and Assess User-Driven Requirements to Define Potential Opportunities of Future Hyperspectral Imaging Sentinel Mission

Spatiotemporal Variations of Ecosystem Service Indicators and the Driving Factors Under Climate Change in the Qinghai–Tibet Highway Corridor

Cropland Mapping Using Earth Observation Derived Phenological Metrics

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