Pavel Propastin

According to our database, Pavel Propastin authored at least 12 papers between 2006 and 2015.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2015

Inter-Comparison and Evaluation of the Global LAI Product (LAI3g) and the Regional LAI Product (GGRS-LAI) over the Area of Kazakhstan.

Martin Kappas, Pavel Propastin, Jan Degener, Renchin Tsolmon

Remote. Sens., 2015

2013

Retrieval of remotely sensed LAI using Landsat ETM+ data and ground measurements of solar radiation and vegetation structure: Implication of leaf inclination angle.

Pavel Propastin, Oleg Panferov

Int. J. Appl. Earth Obs. Geoinformation, 2013

2012

Retrieval of Coarse-Resolution Leaf Area Index over the Republic of Kazakhstan Using NOAA AVHRR Satellite Data and Ground Measurements.

Pavel Propastin, Martin Kappas

Remote. Sens., 2012

Review of Available Products of Leaf Area Index and Their Suitability over the Formerly Soviet Central Asia.

Martin Kappas, Pavel Propastin

J. Sensors, 2012

Modifying geographically weighted regression for estimating aboveground biomass in tropical rainforests by multispectral remote sensing data.

Pavel Propastin

Int. J. Appl. Earth Obs. Geoinformation, 2012

2011

Multiscale analysis of the relationship between topography and aboveground biomass in the tropical rainforests of Sulawesi, Indonesia.

Pavel Propastin

Int. J. Geogr. Inf. Sci., 2011

2010

Assessment of vegetation vulnerability to ENSO warm events over Africa.

Pavel Propastin, Lucien Fotso, Martin Kappas

Int. J. Appl. Earth Obs. Geoinformation, 2010

A physically based approach to model LAI from MODIS 250 m data in a tropical region.

Pavel Propastin, Stefan Erasmi

Int. J. Appl. Earth Obs. Geoinformation, 2010

2009

Modeling Net Ecosystem Exchange for Grassland in Central Kazakhstan by Combining Remote Sensing and Field Data.

Pavel Propastin, Martin Kappas

Remote. Sens., 2009

Monitoring System for Assessment of Vegetation Sensitivity to El-Niño over Africa.

Pavel Propastin

Proceedings of the Advances in GIScience, 2009

2008

Application of Geographically Weighted Regression to Investigate the Impact of Scale on Prediction Uncertainty by Modelling Relationship between Vegetation and Climate.

Pavel Propastin, Martin Kappas, Stefan Erasmi

Int. J. Spatial Data Infrastructures Res., 2008

2006

Spatial Non-stationarity and Time-dependency in the Relationship between NOAA-AVHRR NDVI and Climatic Determinants: Sensitivity to Landuse/Landcover Change.

Pavel Propastin, Nadiya Muratova

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006