Inge Sandholt

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On global and regional scales, earth observation (EO)-based estimates of leaf area index (LAI) provide valuable input to climate and hydrologic modelling, while fraction of absorbed photosynthetically active radiation (fAPAR) is a key variable in the assessment of vegetation productivity and yield estimates. Validation of moderate resolution imaging(More)
Global products of vegetation green Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation absorbed by vegetation (FPAR) are being operationally produced from Terra and Aqua Moderate Resolution Imaging Spectroradiometers (MODIS) at 1-km resolution and eight-day frequency. This paper summarizes the experience of several collaborating(More)
New and improved satellite sensors specially designed for vegetation monitoring have been launched in recent years; including the Moderate Resolution Imaging Spectrometer (MODIS) onboard Terra and Aqua, the Medium Resolution Imaging Spectrometer (MERIS) on the ENVISAT satellite, and VEGETATION onboard the Systeme Pour l’Observation de la Terre (SPOT)(More)
The Dahra field site in Senegal, West Africa, was established in 2002 to monitor ecosystem properties of semiarid savanna grassland and their responses to climatic and environmental change. This article describes the environment and the ecosystem properties of the site using a unique set of in situ data. The studied variables include hydroclimatic(More)
A tree survey and an analysis of high resolution satellite data were performed to characterise the woody vegetation within a 10 × 10 km2 area around a site located close to the town of Dahra in the semiarid northern part of Senegal. The surveyed parameters were tree species, height, tree crown radius, and diameter at breast height (DBH), for which(More)
Since 1972, satellite remote sensing of the environment has been dominated by polar-orbiting sensors providing useful data for monitoring the earth’s natural resources. However their observation and monitoring capacity are inhibited by daily to monthly looks for any given ground surface which often is obscured by frequent and persistent cloud cover creating(More)
A multi-spectral SPOT image, polarimetric airborne SAR data as well as satellite based C-band SAR data have been used to perform classification of agricultural fields and areas occupied by forest and lake. Conventional Maximum Likelihood classification has been compared with classification incorporating a Gaussian mixture class model, as well as an(More)