Michael Schultz Rasmussen
Biographic Data
| ID | 5776538 |
|---|---|
| NAME | Michael Schultz Rasmussen |
| GIVEN NAMES | Michael Schultz |
| FAMILY NAME | Rasmussen |
| SIGNATURE | RASMUSSEN M S |
| AFFILIATIONS | Geocenter Denmark |
| ORCID | 0000-0002-7358-9421 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 6 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1999 |
| LATEST PUBLICATION YEAR | 2003 |
| H-INDEX | 1 |
Documentation and evaluation of the CSE Noaa AVHRR data set
A NOAA AVHRR data set covering Senegal and parts of the surrounding countries during the period from 1987 to present is under construction and improvement in an ongoing collaboration between Centre de Suivi Écologique (CSE). Dakar. Senegal, and Institute of Geography, University of Copenhagen (IGUC). This paper details the entire processing chain from raw images to a properly calibrated, geometrically rectified and cloud-masked time-series tracki…
Using trend line and principal component analysis to study vegetation changes in Senegal 1986—1999 from AVHRR NDVI 8 km data
The objective of the study is to evaluate existing methods and techniques for analysing time series of remotely sensed vegetation index data. This was done within the framework of assessing long-term changes in the vegetation of Senegal. West Africa, using time series of NDVI (Normalized Difference Vegetation Index) data dating from 1986 to 1999. NDVI was derived from NOAA AVHRR 8 km data provided through the Pathfinder program. Two NDVI integral…
Comparing time series of AVHRR LAC data with the IGBP 1 km and the Pathfinder 8 km datasets
Time series of remote sensing vegetation index data are increasingly being used for environmental monitoring and assessments. An important issue is therefore to ensure the integrity in time of the data. The present study compares and assesses the consistency and quality of three different sets of NDVI data from NOAA AVHRR: 1) full resolution, single-day Local Area Coverage (LAC) data acquired by local receiving stations, 2) 10 day composites of L…
Anmeldelser
Supporting Mongolian pastoralists by using GIS to identify grazing limitations and opportunities from livestock census and remote sensing data
Anmeldelser
Supporting Mongolian pastoralists by using GIS to identify grazing limitations and opportunities from livestock census and remote sensing data
Documentation and evaluation of the CSE Noaa AVHRR data set
A NOAA AVHRR data set covering Senegal and parts of the surrounding countries during the period from 1987 to present is under construction and improvement in an ongoing collaboration between Centre de Suivi Écologique (CSE). Dakar. Senegal, and Institute of Geography, University of Copenhagen (IGUC). This paper details the entire processing chain from raw images to a properly calibrated, geometrically rectified and cloud-masked time-series tracki…
Using trend line and principal component analysis to study vegetation changes in Senegal 1986—1999 from AVHRR NDVI 8 km data
The objective of the study is to evaluate existing methods and techniques for analysing time series of remotely sensed vegetation index data. This was done within the framework of assessing long-term changes in the vegetation of Senegal. West Africa, using time series of NDVI (Normalized Difference Vegetation Index) data dating from 1986 to 1999. NDVI was derived from NOAA AVHRR 8 km data provided through the Pathfinder program. Two NDVI integral…
Comparing time series of AVHRR LAC data with the IGBP 1 km and the Pathfinder 8 km datasets
Time series of remote sensing vegetation index data are increasingly being used for environmental monitoring and assessments. An important issue is therefore to ensure the integrity in time of the data. The present study compares and assesses the consistency and quality of three different sets of NDVI data from NOAA AVHRR: 1) full resolution, single-day Local Area Coverage (LAC) data acquired by local receiving stations, 2) 10 day composites of L…
Supporting Mongolian pastoralists by using GIS to identify grazing limitations and opportunities from livestock census and remote sensing data
Anmeldelser
Anmeldelser
Documentation and evaluation of the CSE Noaa AVHRR data set
A NOAA AVHRR data set covering Senegal and parts of the surrounding countries during the period from 1987 to present is under construction and improvement in an ongoing collaboration between Centre de Suivi Écologique (CSE). Dakar. Senegal, and Institute of Geography, University of Copenhagen (IGUC). This paper details the entire processing chain from raw images to a properly calibrated, geometrically rectified and cloud-masked time-series tracki…
Using trend line and principal component analysis to study vegetation changes in Senegal 1986—1999 from AVHRR NDVI 8 km data
The objective of the study is to evaluate existing methods and techniques for analysing time series of remotely sensed vegetation index data. This was done within the framework of assessing long-term changes in the vegetation of Senegal. West Africa, using time series of NDVI (Normalized Difference Vegetation Index) data dating from 1986 to 1999. NDVI was derived from NOAA AVHRR 8 km data provided through the Pathfinder program. Two NDVI integral…
Comparing time series of AVHRR LAC data with the IGBP 1 km and the Pathfinder 8 km datasets
Time series of remote sensing vegetation index data are increasingly being used for environmental monitoring and assessments. An important issue is therefore to ensure the integrity in time of the data. The present study compares and assesses the consistency and quality of three different sets of NDVI data from NOAA AVHRR: 1) full resolution, single-day Local Area Coverage (LAC) data acquired by local receiving stations, 2) 10 day composites of L…
Geography (5 works) · Remote sensing (4 works) · Computer Science (3 works) · Environmental Science (3 works) · Geology (3 works) · Geology (3 works) · Remote Sensing and LiDAR Applications (3 works) · Remote Sensing in Agriculture (3 works) · Climate change (2 works) · Climatology (2 works)