University of Natural Resources and Life Sciences, Vienna (BOKU) - Research portal
Crop Drougth Stress Monitoring by Remote Sensing
- Project Leader
- Schneider Werner, Project Leader
- Duration:
- 01.01.2005-31.12.2007
- Type of Research
- Basic Research
- Project partners
-
University of Vienna, Insitute of Ecology and Conservation Biology, Althanstraße 14, 1090 Wien, Austria.
Contact person: Dr. Wolfgang Postl;
Function of the Project Partner: Partner
- Staff
- Eitzinger Josef, Sub Projectleader
- Weihs Philipp, Sub Projectleader
- Rischbeck Pablo, Project Staff
- Huber Katja, Project Staff (bis 30.06.2007)
- Kaiser Georg, Project Staff
- BOKU Research Units
- Institute of Geomatics
- Institute of Meteorology and Climatology
- Funded by
- Fonds zur Förderung der wissenschaftlichen Forschung (FWF) , Sensengasse 1, 1090 Wien, Austria
- Abstract
- Extreme temperatures and water shortage can cause drought stress of crops. Drought effects on important crops are being studied and methods of monitoring and early detection of this and other stress factors are being developed at many places. The aim is to allow to plan long and short term agro-technical measures (e.g. in crop rotation, fertilization, soil cultivation, irrigation scheduling) to avoid reduction in crop production. Additional concern is caused by eventual consequences of climatic change on agricultural production, which is becoming one of the key issues of climate change impact research. Earth observation from satellites (remote sensing) is one of the key techniques for crop state monitoring over large areas. New sensor systems have been developed and brought into orbit in recent time, opening up new possibilities also for crop drought stress monitoring. The main new features of optical sensors are high spectral resolution (small bandwidth down to 10 nm, high number of spectral bands up to a few hundred, which in effect facilitates spectroscopy from space), high spatial resolution (pixel sizes on the ground down to 60 cm), and high temporal resolution (up to daily revisit frequency of every spot of the globe).The aim of this project is to adapt and develop remote sensing based methods of detection and monitoring of drought stress of agricultural crops exploiting these new potentials of optical remote sensing and the synergetic effects of the different sensor types. To this end, physical vegetation canopy models describing the relationship between drought stress level and reflectance characteristics of the plants are being adapted and improved. Methods for analysing remotely sensed images making use of the vegetation canopy models are being developed. Both reflected radiation and emitted (thermal) infrared radiation are used. As there is no sensor available today that can simultaneously fulfill the three above-mentioned requirements of high spectral, spatial and temporal resolution, special attention is paid to the problem of combining data from different sensors (image information fusion). The methods are applied and tested for selected crops (wheat and maize) under agricultural conditions in Austria and in Germany.
- Keywords
- remote sensing; irrigation; crop husbandry;
- Remote Sensing; Agriculture; Monitoring; Drought Stress;
- Publications
-
P. Weihs, R. Linke, K. Richter, J. Eitzinger, L. Berger, T. Besnard (2009): Drought stress determination of crops by means of ground based thermal remote sensing. [Poster]
, Geophysical Research Abstracts, 11, 4658
[European Geosciences Union EGU General Assembly 2009, Vienna, Austria, 19.04.2009 - 24.04.2009] -
** Linke, R; Richter, K; Haumann, J; Schneider, W; Weihs, P Occurrence of repeated drought events: can repetitive stress situations and recovery from drought be traced with leaf reflectance?.
PERIOD BIOL. 2008; 110(3): 219-229. WoS FullText -
** P. Weihs; F. Suppan; K. Richter; R. Petritsch; H. Hasenauer; W. Schneider Validation of forward and inverse modes of a homogeneous canopy reflectance model .
INT J REMOTE SENS, Volume 29, Issue 5 , 1317 -1338; ISSN 0143-1161 WoS FullText FullText_BOKU -
Huber, K., Rischbeck, P., Eitzinger, J., Schneider, W., Suppan, F., Weihs, P. (2006): Use of information content of hyperspectral imagery for retrieval of biophysical vegetation parameters indicating drought stress of durum wheat.
In: Eds. Jose A. Sobrino, Second recent advances in Quantitative Remote Sensing, Universitat de Valencia, Spain, Second International Symposium on Recent Advances in Quantitative Remote Sensing, 25.-29. Sept. 2006, Torrent ; ISBN: 84-370-6533-X
[2nd International Symposium on Recent Advances in Quantitative Remote Sensing 2006, Torrent, Spain, 25.09.2006 - 29.09.2006] -
K. Huber, W. A. Dorigo, T. Bauer, J. Eitzinger, J. Haumann, G. Kaiser, R. Linke, W. Postl, P. Rischbeck, W. Schneider, F. Suppan, and P. Weihs (2006): Changes In Spectral Reflectance Of Crop Canopies Due To Drought Stress. [Poster]
In: G. D'Urso, University of Naples Federico II M. A. Osann Jochum, University of Castilla-La Mancha J. Moreno, University of Valencia , EARTH OBSERVATION FOR VEGETATION MONITORING AND WATER MANAGEMENT , 10-11 November 2005, Naples (Italy),; ISBN: ISBN: 0-7354-0346-5 FullText
[EARTH OBSERVATION FOR VEGETATION MONITORING AND WATER MANAGEMENT, Naples, Italy, 10.11.2005 - 11.11.2005] -
Ph. Weihs, F. Suppan, W. Schneider, H. Hasenauer, K. Huber (2006): The use of airborne hyperspectral reflectance data to characterize forest species distribution patterns. [Oral Communication]
In: Tatjana Tatjana Koukal Koukal, Werner Schneider (eds.), International Workshop International Workshop 3D Remote Sensing in Forestry, 14.-15. Februar 2006, Wien, Austria; University of Natural Resources and Applied Life Sciences, Vienna Department of Spatial, Landscape and Infrastructure-Sciences FullText
[Workshop 3D Remote Sensing in Forestry 2006, Vienna, Austria, 14.02.2006 - 15.02.2006]
- Vorträge
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P. Weihs, R. Linke, K. Richter, J.Eitzinger, L. Berger, T. Besnard, P. Rischbeck, J. Wagner (2007): Drought stress determination of crops by means of ground based thermal remote sensing.
Workshop on "Crop Drought Stress Monitoring by Remote Sensing", 30.11.2007, Wien -
Huber, K., Rischbeck, P., Eitzinger, J., Schneider, W., Suppan, F., Weihs, P. (2006): Use of information content of hyperspectral imagery for retrieval of biophysical vegetation parameters indicating drought stress of durum wheat. [Poster]
Second International Symposium on Recent Advances in Quantitative Remote Sensing, 25.-29. Sept. 2006, Torrent