Dahms, Thorsten and Seissiger, Sylvia and Borg, Erik and Conrad, Christopher (2016) Modelling biophysical parameters of maize using Landsat 8 time series. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B2, pp. 171-175. International Society for Photogrammetry and Remote Sensing (ISPRS), 2016-07-12 - 2016-07-19, Prag, Tschechien. doi: 10.5194/isprs-archives-XLI-B2-171-2016.
![]() |
PDF
- Only accessible within DLR
882kB |
![]() |
PDF
- Only accessible within DLR
838kB |
Official URL: http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B2/171/2016/
Abstract
Open and free access to multifrequent high-resolution data (e.g. Sentinel-2) will fortify agricultural applications based on satellite data. The temporal and spatial resolution of these remote sensing datasets directly affects the applicability of remote sensing methods, for instance a robust retrieving of biophysical parameters over the entire growing season with very high geometric resolution.
Item URL in elib: | https://elib.dlr.de/109138/ | ||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Document Type: | Conference or Workshop Item (Poster) | ||||||||||||||||||||
Title: | Modelling biophysical parameters of maize using Landsat 8 time series | ||||||||||||||||||||
Authors: |
| ||||||||||||||||||||
Date: | 2016 | ||||||||||||||||||||
Journal or Publication Title: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences | ||||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||||
Open Access: | No | ||||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||||
In SCOPUS: | No | ||||||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||||||
Volume: | XLI-B2 | ||||||||||||||||||||
DOI: | 10.5194/isprs-archives-XLI-B2-171-2016 | ||||||||||||||||||||
Page Range: | pp. 171-175 | ||||||||||||||||||||
Status: | Published | ||||||||||||||||||||
Keywords: | variable importance, random forests, conditional inference trees, biophysical parameters, maize | ||||||||||||||||||||
Event Title: | International Society for Photogrammetry and Remote Sensing (ISPRS) | ||||||||||||||||||||
Event Location: | Prag, Tschechien | ||||||||||||||||||||
Event Type: | international Conference | ||||||||||||||||||||
Event Start Date: | 12 July 2016 | ||||||||||||||||||||
Event End Date: | 19 July 2016 | ||||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||
HGF - Program: | Space | ||||||||||||||||||||
HGF - Program Themes: | Earth Observation | ||||||||||||||||||||
DLR - Research area: | Raumfahrt | ||||||||||||||||||||
DLR - Program: | R EO - Earth Observation | ||||||||||||||||||||
DLR - Research theme (Project): | R - Geoscientific remote sensing and GIS methods | ||||||||||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||||||||||
Institutes and Institutions: | German Remote Sensing Data Center German Remote Sensing Data Center > National Ground Segment | ||||||||||||||||||||
Deposited By: | Wöhrl, Monika | ||||||||||||||||||||
Deposited On: | 07 Dec 2016 15:41 | ||||||||||||||||||||
Last Modified: | 24 Apr 2024 20:14 |
Repository Staff Only: item control page