Scholarly record
THE USE OF SENTINEL 2 IMAGES FOR DROUGHT PHENOMENON MONITORING IN APPLE ORCHARDS
Abstract
In the context of the current climate change faced by mankind, a series of phenomena are emerging, which can pose problems to both several environmental aspects, including among others biodiversity and agricultural crops. Drought is a regional phenomenon which, through its impact on agriculture, can also have a bad influence on the economy. Apple farming, through its spreading area and its importance in human nutrition and health is also affected by this aspect. Based on high temperatures and a reduced amount of precipitation the leaves of trees may become yellow earlier than usual and the process of premature fruit fall is enhanced. This paper seeks to highlight how the apple orchards from the north-eastern region of Romania react to this phenomenon and from which perspective can these aspects be approached with methods of remote sensing, using Sentinel 2 satellite images or by what methods we can obtain results as conclusive as possible. The good resolution and the fact that these images hold 13 spectral bands demonstrate the promising application of Sentinel-2 data to ensure long-term monitoring of the drought effect under various land-use categories and vegetation that can help manage the environment in a sustainable manner.
Publication Impact Profile
Publication details
References11
Food and Agriculture Organization of the United Nations, (2013) The state of food insecurity in the world, Roma
Enache, L. (2009) Agrometeorologie, București
Wilhite, D. A., & Glantz, M. H. (1985). Understanding: the drought phenomenon: the role of definitions. Water International, 10(3), 111-120.
Chira. L., Pașca, I, (2004) Cultura mărului, Editura M.A.S.T., București
Kogan, F.N. 1995 Application of vegetation index and brightness temperature for drought detection. Advances in Space Research, 15 (11), 91-100
Kogan, F.N. Global drought watch from space. Bull. Am. Meteorol. Soc. 1997, 78, 621–636
Delegido, J.; Verrelst, J.; Alonsa, L.; Moreno, J. Evaluation of Sentinel-2 Red-edge Bands for Empirical Estimation of Green LAI and Chlorophyll Content. Sensors 2011, 11, 7063–7081.
Gao, B.-c. 1996 NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment, 58 (3), 257-266.
Wang, L. and Qu, J.J. 2007 NMDI: A normalized multi-band drought index for monitoring soil and vegetation moisture with satellite remote sensing. Geophysical Research Letters, 34 (20), n/a-n/a.
Dotzler, S., Hill, J., Buddenbaum, H. and Stoffels, J. 2015 The Potential of EnMAP and Sentinel-2 Data for Detecting Drought Stress Phenomena in Deciduous Forest Communities. Remote Sensing, 7 (10), 14227.
Iordache, Iulian & Ursu, Adrian & Apostol, Liviu & Iosub, Marina & Vasilică, Istrate. (2016). Using modis imagery for risk assessment in the cross - border area Romania-Republic of Moldova. DOI: 10.5593/SGEM2016/B22/S10.137.
Citing literature
Number of times cited according to Crossref: 2
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.
