1,721,016 research outputs found
Estimation of potential evapotranspiration: empirical versus physical approaches of crop characteristics
No full textLeaf area index and surface albedo estimation: comparative analysis from vegetation indexes to radiative transfer models
No full textOptimal Exploitation of the Sentinel-2 Spectral Capabilities for Crop Leaf Area Index Mapping
Full text linkThe continuously increasing demand of accurate quantitative high quality information on land surface properties will be faced by a new generation of environmental Earth observation (EO) missions. One current example, associated with a high potential to contribute to those demands, is the multi-spectral ESA Sentinel-2 (S2) system. The present study focuses on the evaluation of spectral information content needed for crop leaf area index (LAI) mapping in view of the future sensors. Data from a field campaign were used to determine the optimal spectral sampling from available S2 bands applying inversion of a radiative transfer model (PROSAIL) with look-up table (LUT) and artificial neural network (ANN) approaches. Overall LAI estimation performance of the proposed LUT approach (LUTN₅₀) was comparable in terms of retrieval performances with a tested and approved ANN method. Employing seven- and eight-band combinations, the LUTN₅₀ approach obtained LAI RMSE of 0.53 and normalized LAI RMSE of 0.12, which was comparable to the results of the ANN. However, the LUTN50 method showed a higher robustness and insensitivity to different band settings. Most frequently selected wavebands were located in near infrared and red edge spectral regions. In conclusion, our results emphasize the potential benefits of the Sentinel-2 mission for agricultural applications
Assessment of LAI retrieval accuracy by inverting a RT model and a simple empirical model with multiangular and hyperspectral CHRIS/PROBA data from SPARC
No full textA comparative approach for the retrieval of leaf area index from Earth observation data.
No full text
Evaluation of different methods for the retrieval of LAI using high resolution airborne data
No full textExperimental assessment of the Sentinel-2 band setting for RTM-based LAI retrieval of sugar beet and maize.
No full textEvaluation of Sentinel-2 Spectral Sampling forRadiative Transfer Model Based LAI Estimation ofWheat, Sugar Beet, and Maize
No full textImpact of Plant-Beneficial Bacterial Inocula on the Resident Bacteriome: Current Knowledge and Future Perspectives
Full text linkThe inoculation of plant growth-promoting bacteria (PGPB) as biofertilizers is one of the most efficient and sustainable strategies of rhizosphere manipulation leading to increased plant biomass and yield and improved plant health, as well as the ameliorated nutritional value of fruits and edible seeds. During the last decades, exciting, but heterogeneous, results have been obtained growing PGPB inoculated plants under controlled, stressful, and open field conditions. On the other hand, the possible impact of the PGPB deliberate release on the resident microbiota has been less explored and the little available information is contradictory. This review aims at filling this gap: after a brief description of the main mechanisms used by PGPB, we focus our attention on the process of PGPB selection and formulation and we provide some information on the EU regulation for microbial inocula. Then, the concept of PGPB inocula as a tool for rhizosphere engineering is introduced and the possible impact of bacterial inoculant on native bacterial communities is discussed, focusing on those bacterial species that are included in the EU regulation and on other promising bacterial species that are not yet included in the EU regulation
- …
