The influence of land surface parameters on energy flux densities derived from remote sensing data
Knowledge of the vegetation properties surface reflectance, Normalised Difference Vegetation Index (NDVI) and Leaf Area Index (LAI) are essential for the determination of the heat and water fluxes between terrestrial ecosystems and the atmosphere. Remote sensing data can be used to derive spatial es...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Borntraeger
2005-05-01
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| Series: | Meteorologische Zeitschrift |
| Online Access: | http://dx.doi.org/10.1127/0941-2948/2005/0026 |
| _version_ | 1797320720780361728 |
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| author | Antje Tittebrand Angela Schwiebus Franz H. Berger |
| author_facet | Antje Tittebrand Angela Schwiebus Franz H. Berger |
| author_sort | Antje Tittebrand |
| collection | DOAJ |
| description | Knowledge of the vegetation properties surface reflectance, Normalised Difference Vegetation Index (NDVI) and Leaf Area Index (LAI) are essential for the determination of the heat and water fluxes between terrestrial ecosystems and the atmosphere. Remote sensing data can be used to derive spatial estimates of the required surface properties. The determination of land surface parameters and their influence on radiant and energy flux densities is investigated with data of different remote sensing systems. Sensitivity studies show the importance of correctly derived land surface properties to estimate the key quantity of the hydrological cycle, the evapotranspiration (L.E), most exactly. In addition to variable parameters like LAI or NDVI there are also parameters which are can not be inferred from satellite data but needed for the Penman-Monteith approach. Fixed values are assumed for these variables because they have little influence on L.E.Data of Landsat-7 ETM+ and NOAA-16 AVHRR are used to show results in different spatial resolution. The satellite derived results are compared with ground truth data provided by the Observatory Lindenberg of the German Weather Service. |
| first_indexed | 2024-03-08T04:47:04Z |
| format | Article |
| id | doaj.art-bb02c0e3b1ac4df6b47af4d54f3df378 |
| institution | Directory Open Access Journal |
| issn | 0941-2948 |
| language | English |
| last_indexed | 2024-03-08T04:47:04Z |
| publishDate | 2005-05-01 |
| publisher | Borntraeger |
| record_format | Article |
| series | Meteorologische Zeitschrift |
| spelling | doaj.art-bb02c0e3b1ac4df6b47af4d54f3df3782024-02-08T08:46:07ZengBorntraegerMeteorologische Zeitschrift0941-29482005-05-0114222723610.1127/0941-2948/2005/002654141The influence of land surface parameters on energy flux densities derived from remote sensing dataAntje TittebrandAngela SchwiebusFranz H. BergerKnowledge of the vegetation properties surface reflectance, Normalised Difference Vegetation Index (NDVI) and Leaf Area Index (LAI) are essential for the determination of the heat and water fluxes between terrestrial ecosystems and the atmosphere. Remote sensing data can be used to derive spatial estimates of the required surface properties. The determination of land surface parameters and their influence on radiant and energy flux densities is investigated with data of different remote sensing systems. Sensitivity studies show the importance of correctly derived land surface properties to estimate the key quantity of the hydrological cycle, the evapotranspiration (L.E), most exactly. In addition to variable parameters like LAI or NDVI there are also parameters which are can not be inferred from satellite data but needed for the Penman-Monteith approach. Fixed values are assumed for these variables because they have little influence on L.E.Data of Landsat-7 ETM+ and NOAA-16 AVHRR are used to show results in different spatial resolution. The satellite derived results are compared with ground truth data provided by the Observatory Lindenberg of the German Weather Service.http://dx.doi.org/10.1127/0941-2948/2005/0026 |
| spellingShingle | Antje Tittebrand Angela Schwiebus Franz H. Berger The influence of land surface parameters on energy flux densities derived from remote sensing data Meteorologische Zeitschrift |
| title | The influence of land surface parameters on energy flux densities derived from remote sensing data |
| title_full | The influence of land surface parameters on energy flux densities derived from remote sensing data |
| title_fullStr | The influence of land surface parameters on energy flux densities derived from remote sensing data |
| title_full_unstemmed | The influence of land surface parameters on energy flux densities derived from remote sensing data |
| title_short | The influence of land surface parameters on energy flux densities derived from remote sensing data |
| title_sort | influence of land surface parameters on energy flux densities derived from remote sensing data |
| url | http://dx.doi.org/10.1127/0941-2948/2005/0026 |
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