empirical models are important tools for relating field-measured biophysical variables to remotely sensed data. regression analysis has been a popular empirical method of linking these two types of data to estimate variables such as biomass, percent vegetation canopy cover, and bare soil. this study was conducted in a semi-arid rangeland ecosystem of qazvin province, iran. this paper presents t...

Empirical models are important tools for relating field-measured biophysical variables to remotely sensed data. Regression analysis has been a popular empirical method of linking these two types of data to estimate variables such as biomass, percent vegetation canopy cover, and bare soil. This study was conducted in a semi-arid rangeland ecosystem of Qazvin province, Iran. This paper presents t...

With the ever-increasing number of satellites and the availability of data free of charge, the integration of multi-sensor images in coherent time series offers new opportunities for land cover and crop type classification. This article investigates the potential of structural biophysical variables as common parameters to consistently combine multi-sensor time series and to exploit them for lan...

The integrated application of multi-source and multi-temporal remote sensing data is the trend of remote sensing application research, and it is also the practical need to solve the inversion problem of remote sensing. In this paper, a method is developed to retrieve canopy biophysical variables using multi-temporal remote sensing data. The inherent change rules of biophysical variables are int...

the original biophysical profile is time consuming and costly. this study was performed to compare diagnostic value of the original fetal biophysical profile to the modified biophysical profile. patients were selected from high risk pregnancies referred for fetal assessment and were randomly assigned to two groups. the measures of outcomes were perinatal mortality, cesarean section for abnormal...

Methods We evaluated the leading hypotheses on biophysical factors affecting species richness for Breeding Bird Survey routes from areas with little influence of human activities. We then derived a best model based on information theory, and used this model to extrapolate SK across North America based on the biophysical predictor variables. The predictor variables included the latest and probab...

The future German Environmental Mapping and Analysis Program (EnMAP) mission, due to launch in late 2019, will deliver high resolution hyperspectral data from space and will thus contribute to a better monitoring of the dynamic surface of the earth. Exploiting the satellite’s ±30◦ across-track pointing capabilities will allow for the collection of hyperspectral time-series of homogeneous qualit...

Controlling wildfire suppression expenditures has become a major public policy concern in the United States. However, most policy remedies have focused on the biophysical determinants of suppression costs: fuel loads and weather, for example. We show that two non-biophysical variables—newspaper coverage and political pressure—have a significant effect on wildfire suppression costs. Hausman test...