Agricultural Drought Monitoring Using Satellite - Based Products in Romania

Gheorghe Stancalie, Argentina Nertan, Florin Serban

Abstract

In Romania, the complex agricultural drought is a climatic hazard inducing the worst consequences ever occurred in agriculture. The paper presents the results of recent studies developed in the National Meteorological Administration, in the framework of national and European R&D projects, regarding the use of satellite-derived products for agricultural drought monitoring. In this respect, different vegetation indices, biophysical parameters and physically-based vegetation state indicators have been used and tested in study areas over Romania, in order to monitor and assess the drought impact on crops, at different phenological dates. The main sources of satellite data and related products were provided by TERRA/AQUA-Modis, SPOT-Vegetation and Landsat TM/ETM+. By examining spatial and temporal patterns of satellite-derived products and comparing/correlating with the field conditions measured on site, it was determined that the NDVI, NDWI and NDDI vegetation indices, the leaf area index (LAI) and the fraction of absorbed photosynthetical active radiation (fAPAR) proved to be good indicators of the vegetation condition and relevant for the settlement, duration and intensity of the agricultural drought.

References

  1. Basso, B., Cammarano1, D., and De Vita, P., 2004. Remotely sensed vegetation indices: theory and applications for crop management, Rivista Italiana di Agrometeorologia , 36-53 (1).
  2. Chen, D., J. Huang, and Jackson, T. J., 2005. Vegetation water content estimation for corn and soybeans using spectral indices derived from MODIS near- and short-wave infrared bands, Remote Sens. Environ., 98, 225- 236.
  3. Gao, B., 1996. NDWI-A normalized difference water index for remote sensing of vegetation liquid water from space, Remote Sens. Environ., vol., 58, 257- 266.
  4. Gu, Y., J. F. Brown, J. P. Verdin, and Wardlow, B., 2007. A five-year analysis of MODIS NDVI and NDWI for grassland drought assessment over the central Great Plains of the United States, Geophys. Res. Lett., 34, L06407.
  5. Huete, A.R., H. Liu, K. Batchily, and van Leeuwen, W., 1997. A Comparison of Vegetation Indices Over a Global Set of TM Images for EOS-MODIS. Remote Sensing of Environment 59(3):440-451.
  6. Jackson, J. T., D. Chen, M. Cosh, F. Li, M. Anderson, C. Walthall, P. Doriaswamy, and Hunt, E. R., 2004. Vegetation water content mapping using Landsat data derived normalized difference water index for corn and soybeans, Remote Sens. Environ., 92, 475- 482 (2004).
  7. Penuelas, J., I. Filella, C. Biel, L. Serrano, and Save, R., 1995. Reflectance at the 950-970 Region as an Indicator of Plant Water Status. Intern. Journal of Remote Sensing 14:1887-1905.
  8. Peters, A. J., E. A. Walter-Shea, J. Lei, A. Vina, M. Hayes, and Svoboda M. R., 2002. Drought monitoring with NDVI-based standardized vegetation index, Photogramm. Eng. Remote Sens., 68, 71-75.
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Paper Citation


in Harvard Style

Stancalie G., Nertan A. and Serban F. (2014). Agricultural Drought Monitoring Using Satellite - Based Products in Romania . In Proceedings of the Third International Conference on Telecommunications and Remote Sensing - Volume 1: ICTRS, ISBN 978-989-758-033-8, pages 100-106. DOI: 10.5220/0005421901000106


in Bibtex Style

@conference{ictrs14,
author={Gheorghe Stancalie and Argentina Nertan and Florin Serban},
title={Agricultural Drought Monitoring Using Satellite - Based Products in Romania},
booktitle={Proceedings of the Third International Conference on Telecommunications and Remote Sensing - Volume 1: ICTRS,},
year={2014},
pages={100-106},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005421901000106},
isbn={978-989-758-033-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Telecommunications and Remote Sensing - Volume 1: ICTRS,
TI - Agricultural Drought Monitoring Using Satellite - Based Products in Romania
SN - 978-989-758-033-8
AU - Stancalie G.
AU - Nertan A.
AU - Serban F.
PY - 2014
SP - 100
EP - 106
DO - 10.5220/0005421901000106