My main research interest is the use of data from satellites for collecting data for environmental monitoring and mapping in different climatic regions. My current research interest is the utilisation of satellite sensor data for estimation of vegetation growth and biophysical vegetation parameters, such as canopy leaf foliage, primary production, annd phenology. Optical satellite systems like Landsat, Sentinel-2, Terra/MODIS etc. are the primary data sources. An important aim is to develop methods for modelling of carbon fluxes over large areas. Field measurements are important for understanding the satellite signal. I am also interested in utilizing remote sensing in forestry and agriculture. I am coordinator of SITES Spectral, which carries out continuous field sampling of optical properties, canopy photographs using PhenoCams, and records multispectral and RGB imagery using drones. SITES is a Swedish infrastructure for ecosystem science (see below). Our need for efficient data analysis has led to the development of methods for processing of time series of satellite sensor data (see the TIMESAT link below). These methods are useful for investigating vegetation seasonality and for studies of long-term and short-term vegetation changes. I currently coordinate a project to study the effects of variations in phenology on swedish forests and forest management in a future climate change perspective. Another research interest is the development of methods for early-warning of insect attacs in boreal forests, based on data from satellites.