Pavel Propastin

12 papers C 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2015 J jnl
Inter-Comparison and Evaluation of the Global LAI Product (LAI3g) and the Regional LAI Product (GGRS-LAI) over the Area of Kazakhstan.
Remote. Sens.
Martin Kappas, Pavel Propastin, Jan Degener, Renchin Tsolmon
2013 J jnl
Retrieval of remotely sensed LAI using Landsat ETM+ data and ground measurements of solar radiation and vegetation structure: Implication of leaf inclination angle.
Int. J. Appl. Earth Obs. Geoinformation
Pavel Propastin, Oleg Panferov
2012 J jnl
Modifying geographically weighted regression for estimating aboveground biomass in tropical rainforests by multispectral remote sensing data.
Int. J. Appl. Earth Obs. Geoinformation
Pavel Propastin
2012 J jnl
Retrieval of Coarse-Resolution Leaf Area Index over the Republic of Kazakhstan Using NOAA AVHRR Satellite Data and Ground Measurements.
Remote. Sens.
Pavel Propastin, Martin Kappas
2012 J jnl
Review of Available Products of Leaf Area Index and Their Suitability over the Formerly Soviet Central Asia.
J. Sensors
Martin Kappas, Pavel Propastin
2011 J jnl
Multiscale analysis of the relationship between topography and aboveground biomass in the tropical rainforests of Sulawesi, Indonesia.
Int. J. Geogr. Inf. Sci.
Pavel Propastin
2010 J jnl
A physically based approach to model LAI from MODIS 250 m data in a tropical region.
Int. J. Appl. Earth Obs. Geoinformation
Pavel Propastin, Stefan Erasmi
2010 J jnl
Assessment of vegetation vulnerability to ENSO warm events over Africa.
Int. J. Appl. Earth Obs. Geoinformation
Pavel Propastin, Lucien Fotso, Martin Kappas
2009 J jnl
Modeling Net Ecosystem Exchange for Grassland in Central Kazakhstan by Combining Remote Sensing and Field Data.
Remote. Sens.
Pavel Propastin, Martin Kappas
2009 — conf
Monitoring System for Assessment of Vegetation Sensitivity to El-Niño over Africa.
AGILE Conf.
Pavel Propastin
2008 J jnl
Application of Geographically Weighted Regression to Investigate the Impact of Scale on Prediction Uncertainty by Modelling Relationship between Vegetation and Climate.
Int. J. Spatial Data Infrastructures Res.
Pavel Propastin, Martin Kappas, Stefan Erasmi
2006 C conf
Spatial Non-stationarity and Time-dependency in the Relationship between NOAA-AVHRR NDVI and Climatic Determinants: Sensitivity to Landuse/Landcover Change.
IGARSS
Pavel Propastin, Nadiya Muratova