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10 results for “biophysical parameters”
Location, biophysical and agronomic parameters for croplands in Northern Ghana
<p>We present a dataset describing (i) crop locations, (ii) biophysical parameters and (iii) crop yield and biomass was collected in 2020 and 2021 in Ghana, mostly focusing on maize in northern Ghana. The dataset contains repeated multiple measurements of leaf area index (LAI), leaf chlorophyll concentration over a large number of maize fields, as well as associated grain yield, biomass and polygons that delineate the fields.</p>
Data from: Parameters used in the endotherm biophysical model for each species
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Fire regime parameters and potential biophysical fire regime drivers - NUTS2 Centro, Portugal
<p>The dataset, presented as an SPSS data file, includes three components. All were calculated for the civil parishes comprised in the NUTS2 Centro territorial unit in Central Portugal, identified by name in the column <em>Parish_name</em>.</p> <p>These components are:</p> <p>1) three fire regime descriptors (expressed in original units and as z-scores)</p> <p>2) twelve potential biophysical fire regime drivers (expressed in original units and as z-scores).</p> <p>3) the cluster associated to each parish in both 3-cluster and 4-cluster solutions, obtained by running cluster analyses using the three fire regime descriptors as input variables.</p> <p>All fire regime descriptors and potential fire regime drivers are described in:</p> <p>Bergonse, R., Oliveira, S., Zêzere, J. L., Moreira, F., Ribeiro, P. F., Leal, M., & Lima e Santos, J. M. (2022). Biophysical controls over fire regime properties in Central Portugal. Science of The Total Environment, 810, 152314. <a href="https://doi.org/10.1016/j.scitotenv.2021.152314">https://doi.org/10.1016/j.scitotenv.2021.152314</a>.</p> <p>They are also identified in the ReadMe file included in the Dataset.</p>
Clinical, Biochemical, Histological and Biophysical Parameters in the Prediction of Cerebral Palsy in Patients With Preterm Labor and Premature Rupture of Membranes
ClinicalTrials.gov study NCT00342667. IPD Sharing: Not stated. Countries: 4. Publications: 3.
Prospective Evaluation of Biophysical Parameters as Long-term Predictors of Pulmonary Vein Isolation
ClinicalTrials.gov study NCT05805189. IPD Sharing: NO. Countries: 1. Publications: 0.
MODIS-derived Biophysical Parameters for 5-km Land Cover, North America, 2000-2012
This data set provides MODIS-derived surface biophysical climatologies of bidirectional distribution function (BRDF), BDRF/albedo, land surface temperature (LST), leaf area index (LAI), and evapotranspiration (ET) as separate files for each of the MODIS land cover types, and four radiative forcing data files for four scenarios of potential vegetation shifts in North America. Each biophysical variable has temporal periods that represent the average of all 8-day periods from the years 2000 – 2012. The data have a spatial resolution of 0.05 degree (~5 km) and a temporal resolution of eight days. Additionally, a file containing diffuse fraction of surface downward solar radiation (DiffuseFraction) at a monthly scale, and a file containing snow water equivalent (SWE) are provided. The extent of the data covers the land area of North America, from 20 to 60 degrees N. The land-cover map used was synthesized from nine yearly 500-m MODIS land-cover layers (MCD12 Q1 Collection 5) for 2001-2008. These high-resolution land data were originally developed for quantifying biophysical forcing from land-use changes associated with forestry activities, such as radiative forcing from altered surface albedo.
ISLSCP II FASIR-adjusted NDVI Biophysical Parameter Fields, 1982-1998
The Fourier-Adjusted, Sensor and Solar zenith angle corrected, Interpolated, Reconstructed (FASIR) adjusted Normalized Difference Vegetation Index (NDVI) data set and derived biophysical parameter fields were generated to provide a 17-year, satellite record of monthly changes in the photosynthetic activity of terrestrial vegetation. This multiple resolution (1/4, 1/2 and 1 degree in latitude and longitude) biophysical parameter data set contains essential variables for the calculation of photosynthesis, and the energy and water exchange between the Earth's surface (in particular of vegetation) and the lower boundary layer of the atmosphere. The Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) is related to the light absorption and the photosynthetic capacity of vegetation. It also serves as an intermediate variable to calculate vegetation cover fraction (Vcover), total Leaf Area Index (LAI_T), green leaf area index (LAI_G), roughness length (z0), zero plane displacement (d), and snow-free albedo. The biophysical parameters were derived assuming one canopy layer. The production of the FASIR NDVI data set and its associated biophysical parameters was funded by NASA's Land Surface Hydrology program and the Higher Education Funding Council for Wales (HEFCW) as a core component of the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II Data Collection.
Forest Biophysical Parameters (SNF)
The purpose of the SNF study was to improve our understanding of the relationship between remotely sensed observations and important biophysical parameters in the boreal forest. A key element of the experiment was the development of methodologies to measure forest stand characteristics to determine values of importance to both remote sensing and ecology. Parameters studied were biomass, leaf area index, above ground net primary productivity, bark area index and ground coverage by vegetation. Thirty two quaking aspen and thirty one black spruce sites were studied. Sites were chosen in uniform stands of aspen or spruce. Aspen stands were chosen to represent the full range of age and stem density of essentially pure aspen, of nearly complete canopy closure, and greater than two meters in height. Spruce stands ranged from very sparse stands on bog sites, to dense, closed stands on more productive peatlands. Diameter breast height (dbh), height of the tree and height of the first live branch were measured. For each plot, a two meter diameter subplot was defined at the center of each plot. Within this subplot, the percent of ground coverage by plants under one meter in height was determined by species. For the aspen sites, a visual estimation of the percent coverage of the canopy, subcanopy and understory vegetation was made in each plot. Dimension analysis of sampled trees were used to develop equations linking the convenience measurements taken at each site and the biophysical characteristics of interest (for example, LAI or biomass). Fifteen mountain maple and fifteen beaked hazelnut trees were also sampled and leaf area determined. These data were used to determine understory leaf area. The total above-ground biomass was estimated as the sum of the branch and bole biomass for a set of sacrificed trees. Total branch biomass was the sum of the estimated biomass of the sampled and unsampled branches. Total biomass is the sum of the branch and bole biomass. Net primary productivity was estimated from the average radial growth over five years measured from the segments cut from the boles and the terminal growth measured as the height increase of the tree. The models were used to back project five years and determine biomass at that time. The change in biomass over that time was used to determine the productivity. Measurements of the sacrificed trees were used to develop relationships between the biophysical parameters (biomass, leaf area index, bark area index and net primary productivity) and the measurements made at each site (diameter at breast height, tree height, crown depth and stem density). These relationships were then used to estimate biophysical characteristics for the aspen and spruce study sites that are provided in this data set. Biomass density was highest in stands of older, larger Aspen trees and decreased in younger stands with smaller, denser stems. LAI remains relatively constant once a full canopy is established with aspen's shade intolerance generally preventing development of LAI greater than two to three. Biomass density and projected LAI were much more variable for spruce than aspen. Spruce LAI and biomass density have a tight, nearly linear relationship. Stand attributes are often determined by site characteristics. However, differences between maximum LAI for aspen and spruce may also be related to differences in the leaf distribution within the canopy.
Characterization of Biophysical and Mechanical Parameters on Skin of Breast Cancer Patients
ClinicalTrials.gov study NCT06474988. IPD Sharing: Not stated. Countries: 1. Publications: 0.
NanoSilk Cosmo: Evaluation of a Novel Silk Complex on Biophysical Parameters Related to Skin Aging
ClinicalTrials.gov study NCT04630418. IPD Sharing: NO. Countries: 1. Publications: 0.
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