Search results for "Earth"
showing 10 items of 12204 documents
Crop Phenology Retrieval Through Gaussian Process Regression
2021
Monitoring crop phenology significantly assists agricultural managing practices and plays an important role in crop yield predictions. Multi-temporal satellite-based observations allow analyzing vegetation seasonal dynamics over large areas by using vegetation indices or deriving biophysical variables. This study presents a framework for automatic corn phenology characterization based on high spatial and temporal resolution time series. By using the Difference Vegetation Index (DVI) estimated from Sentinel-2 data over Iowa (US), independent phenological models were optimized using Gaussian Processes regression. Their respective performances were assessed based on simulated phenological indi…
Seasonal variations of leaf area index of agricultural fields retrieved from Landsat data
2008
Abstract The derivation of leaf area index (LAI) from satellite optical data has been the subject of a large amount of work. In contrast, few papers have addressed the effective model inversion of high resolution satellite images for a complete series of data for the various crop species in a given region. The present study is focused on the assessment of a LAI model inversion approach applied to multitemporal optical data, over an agricultural region having various crop types with different crop calendars. Both the inversion approach and data sources are chosen because of their wide use. Crops in the study region (Barrax, Castilla–La Mancha, Spain) include: cereal, corn, alfalfa, sugar bee…
2021
Nitrogen (N) is one of the key nutrients supplied in agricultural production worldwide. Over-fertilization can have negative influences on the field and the regional level (e.g., agro-ecosystems). Remote sensing of the plant N of field crops presents a valuable tool for the monitoring of N flows in agro-ecosystems. Available data for validation of satellite-based remote sensing of N is scarce. Therefore, in this study, field spectrometer measurements were used to simulate data of the Sentinel-2 (S2) satellites developed for vegetation monitoring by the ESA. The prediction performance of normalized ratio indices (NRIs), random forest regression (RFR) and Gaussian processes regression (GPR) f…
Spatio-temporal soil drying in southeastern South America: the importance of effective sampling frequency and observational errors on drydown time sc…
2020
The study of the spatio-temporal dynamics of surface soil moisture (SSM) drydowns integrates the soil response to climatic conditions, drainage and land cover and is key to advances in our knowledg...
Sentinel-1 & Sentinel-2 Data for Soil Tillage Change Detection
2018
In this paper, an algorithm using Sentinel-1 (S-1) and Sentinel-2 (S-2) data to identify changes of tillage over agricultural fields at approximately similar to 100m resolution is presented. The methodology implements a multiscale temporal change detection on S-1 VH backscatter in order to single out VH changes due to agricultural practices only. The algorithm can be applied over bare or scarcely vegetated agricultural fields, which are identified from S-2 NDVI measurements. An initial assessment at farm scale using in situ and S-1 and SPOT5-Take5 data, acquired over the Apulian Tavoliere in southern Italy in 2015, is illustrated. A full validation of the approach is in progress over three …
Pigs and Cattle in Gaul: The Role of Gallic Societies in the Evolution of Husbandry Practices
2017
International audience; In diesem Artikel wird eine vergleichende Untersuchung der Morphologie von Schweinen und Rinder vorgelegt sowie eine Analyse stabiler Isotopen, die die Führung des Schweinebestands in Levroux Les Arènes (Indre, Frankreich) betrifft, um die Veränderungen in den Tierhaltungspraktiken zwischen der Eisenzeit und der Römerzeit in der gallischen Gesellschaft auszuwerten. Unsere Ergebnisse zeigen, dass neue Produktionsstrukturen und Vertriebssysteme wahrscheinlich vor dem 2. Jahrhundert v. Chr. eingeführt wurden, und dass bestimmte Größen/Gewichte in der spezialisierten Erzeugung von Schweinefleisch ausgesucht wurden. Die Statur der Schweine und Rinder nimmt zunehmend vom s…
Nouveaux biohorizons et propositions pour le découpage biozonal ammonitique du Barrémien supérieur du Sud-Est de la France
2008
International audience; Un nouveau découpage biozonal ammonitique du Barrémien supérieur du Sud-Est de la France est proposé. Il tient compte des renouvellements fauniques, des données séquentielles ainsi que des données historiques. Il est enrichi de quatre biohorizons nouveaux. Le Barrémien supérieur comporte à présent les trois biozones (anciennement six) à Vandenheckei, Sartousiana et Giraudi. La première contient les trois sous-zones à Uhligi, dont le statut est discuté, Sayni et Barremense, ainsi que les deux nouveaux biohorizons à Marchandi et Breistrofferi (sommet de la Sous-Zone à Barremense). La Biozone à Sartousiana admet les sous-zones à Limentinus, Provincialis et Feraudianus. …
Influences on plant nutritional variation and their potential effects on hominin diet selection
2018
The selection of foods in any environment depends on a variety of factors, including the nutrient availability and antifeedant loads in the component habitats. How these nutritional properties vary and covary in time and space is not well known, particularly among wild plant species. We collected plant samples from several habitats within the Cradle of Humankind World Heritage Site in South Africa, and measured their macronutrient and antifeedant properties in order to explore how season, habitat, plant type, and plant organ affected the quality of these potential plant foods. Our results have implications for early hominin use of similar habitats.
2020
AbstractForecasting crop yields is becoming increasingly important under the current context in which food security needs to be ensured despite the challenges brought by climate change, an expanding world population accompanied by rising incomes, increasing soil erosion, and decreasing water resources. Temperature, radiation, water availability and other environmental conditions influence crop growth, development, and final grain yield in a complex nonlinear manner. Machine learning (ML) techniques, and deep learning (DL) methods in particular, can account for such nonlinear relations between yield and its covariates. However, they typically lack transparency and interpretability, since the…
Effect of mycorrhizal inoculation on metal accumulation by poplar leaves at phytomanaged sites
2017
Abstract Phytotechnologies for the management of lands contaminated with potentially toxic elements (PTEs) are considered as gentle alternatives to conventional remediation techniques. During the last few years, phytotechnologies have progressively shifted to phytomanagement, a concept that includes the valorization of the plant biomass produced on the contaminated site. This study aimed at evaluating the mid-term effect of ecto- and endomycorrhizal inoculation on the reduction of PTE mobility in soils and foliar accumulation by two poplar clones, Skado ( Populus trichocarpa x P. maximowiczii ) and I-214 ( P. deltoides x P. nigra ), dedicated to bioenergy purposes. The effects of inoculatio…