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brigot;, guillaume
This paper presents a machine learning based method to predict the forest structure parameters from L-band polarimetric and interferometric synthetic aperture radar (PolInSAR) data acquired by the airborne UAVSAR system over the Réserve Faunique des Laurentides in Québec, Canada. The main objective of this paper is to show that relevant parameters ...
Caballero Rodríguez, A.C.
Sanusan, Suchada Polthanee, Anan Audebert, Alain Seripong, Surasak Mouret, Jean-Claude
This study investigates the effects of different seeding depths and water stress on growth and yield of direct-seeded rice. The experiment was a 3x2x2 factorial in a randomized complete block design with four replications. The main factors (03) were seeding depths (0, 1 and 5 cm), water level (well watered and water stress at 30 days after seeding ...
Serrago, Roman A. Carretero, Ramiro Bancal, Marie-Odile Miralles, Daniel J.
Foliar diseases are the main biotic cause of yield loss in wheat crops (Triticum aestivum L.) in Argentina and other regions around the world. Most of the studies on foliar diseases take a phytopathological perspective, but few studies have analyzed the problem with an eco-physiological approach aimed at the understanding of which crop traits are a...
Liang, E. Vennetier, M. Lin, Jou-Cheng Shao, X.
Meyer spruce (Picea meyeri Rehd. et Wils.) is a relict conifer, and Chinese leymus (Leymus chinensis [Trin.] Tzvel.) is a dominant grass in typical steppe of the Xilin River Basin, northern China. Herein, we evaluated the relationships between tree-ring width index of Meyer spruce, climate and above-ground biomass of Chinese leymus, and reconstruct...