Results 71 to 80 of about 643,688 (353)
Sustainability of the global environment is dependent on the accurate land cover information over large areas. Even with the increased number of satellite systems and sensors acquiring data with improved spectral, spatial, radiometric and temporal ...
Liu, Xiuwen +2 more
core +1 more source
A method to compare and improve land cover datasets: Application to the GLC-2000 and MODIS land cover products [PDF]
This paper presents a methodology for the comparison of different land cover datasets and illustrates how this can be extended to create a hybrid land cover product. The datasets used in this paper are the GLC-2000 and MODIS land cover products.
Fritz, S., See, L.
core +1 more source
Structural and Functional Characterization of EXPO‐Derived Extracellular Vesicles in Plants
In this study, 3D electron tomography (ET), cryo‐ET, and immunogold transmission electron microscopy (TEM) are employed to characterize plant extracellular vesicles (EVs) under physiological conditions. EVs are classified into three distinct categories according to their size, content, and molecular‐marker profiles. Furthermore, Exo70E2‐positive medium
Jiayang Gao +12 more
wiley +1 more source
Ecosystem‐Centered Robot Design: Toward Ecoresorbable Sustainability Robots (ESRs)
Robots exploring natural ecosystems can support monitoring and conservation, but must adopt ecosystem‐centered design to avoid pollution, waste, and damage. This review proposes guidelines for co‐designing ecoresorbable sustainability robots (ESRs), uniting materials, robotics, and ecological contexts in a single framework.
Tülin Yılmaz Nayır +4 more
wiley +1 more source
Active restoration increases soil organic carbon stocks by reducing microbial nitrogen limitation. Nitrogen availability promotes particulate to mineral‐associated organic carbon conversion by reducing microbial carbon use efficiency. Passive restoration has no effect on soil organic carbon stocks.
Jinchao Gong +15 more
wiley +1 more source
Applying a deep learning pipeline to classify land cover from low-quality historical RGB imagery [PDF]
Land use and land cover (LULC) classification is becoming faster and more accurate thanks to new deep learning algorithms. Moreover, new high spectral- and spatial-resolution datasets offer opportunities to classify land cover with greater accuracy and ...
Harold N. Eyster, Brian Beckage
doaj +2 more sources
The purpose of this resource is to measure and classify the plant life at a Land Cover Site to help determine the MUC classification.
The GLOBE Program, University Corporation for Atmospheric Research (UCAR)
core
In the aqueous AlCl3 electrolyte of aluminum‐metal batteries, the introduction of LaCl3 adjusts the solvation structure of Al3+ and enhances its diffusion level. The oxide precipitate formed by La3+ covers the aluminum metal anode and effectively alleviates corrosion reactions, thereby improving the cycling stability of the battery.
Yanshen Gao +12 more
wiley +1 more source
A Land-Cover Classification for Modeling Natural Land Cover within the IIASA LUC Project [PDF]
Natural forces have always shaped the global land cover, however resulting in mainly gradual changes. More recently anthropogenic impacts have resulted in fast changes and which dominate the natural impacts in many areas. Many studies to understand these
Fischer, G. +2 more
core
This study presents a novel “in vivo–in vitro” therapeutic strategy for spinal cord injury by leveraging magnetically responsive piezoelectric nanomaterials. These nanomaterials enable targeted delivery of localized electrical stimulation at the injury site through noninvasive external magnetic actuation, thereby promoting axonal regeneration and ...
Zhihang Xiao +9 more
wiley +1 more source

