Results 211 to 220 of about 20,661 (256)

Religio‐Racial Lines, Intimate Ties: Christian–Muslim Couples, Birth Rituals, and the Bounds of Belonging

open access: yesJournal for the Scientific Study of Religion, EarlyView.
ABSTRACT Building on scholarship that conceptualizes race and religion as co‐constitutive forces within a “race‐religion constellation,” this article explores how this entanglement—profoundly infused and structured by secularity—is lived and negotiated in everyday life.
Deniz Aktaş
wiley   +1 more source

Agronomic and Physiological Aspects of Programmed Cycle Pruning in <i>Coffea arabica</i>. [PDF]

open access: yesPlants (Basel)
Baitelle DC   +13 more
europepmc   +1 more source

Comparison and Analysis of Data Assimilation Algorithms for Predicting the Leaf Area Index of Crop Canopies

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013
Data assimilation as an approach for crop Leaf Area Index (LAI) estimation has been rapidly developed in the field of agricultural remote sensing. Many studies have attempted to integrate sequential remotely sensed observations in the dynamical operation of physical models, aiming to improve model performance of LAI estimation by using various data ...
Yingying Dong   +2 more
exaly   +2 more sources

Assimilation of NDVI data in a land surface – Vegetation model for leaf area index predictions in a tree-grass ecosystem

open access: yesInternational Journal of Digital Earth, 2023
Periodic observations of vegetation index, such as the normalized difference vegetation index (NDVI), can be used for data assimilation in heterogenous ecosystems. Indeed, the new Sentinel 2 Multispectral instrument and Landsat 8 Operational Land Imager sensor data are available at such high temporal and spatial resolutions that can be used to detect ...
Nicola Montaldo, Roberto Corona
exaly   +4 more sources

A Multiscale Assimilation Approach to Improve Fine-Resolution Leaf Area Index Dynamics

IEEE Transactions on Geoscience and Remote Sensing, 2019
Fine spatial details of vegetation growth are usually lost in leaf area index (LAI) products obtained from coarse spatial resolution satellite sensors. This may bring uncertainties in ecosystem process models, which usually require LAI products with fine spatiotemporal resolutions.
Huaan Jin   +6 more
openaire   +1 more source

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