USING MODIS IMAGERY FOR RISK ASSESSMENT IN THE CROSS-BORDER AREA ROMANIA-REPUBLIC OF MOLDOVA

Son N.T., Chen C.F., C.R. Chen, Chang L.Y., Minh V.Q., Monitoring agricultural drought in the Lower Mekong Basin using MODIS NDVI and land surface temperature data, International Journal of Applied Earth Observation and Geoinformation; vol. 18, pp. 417 -427, 2012.

Bayat B., Nasseri M., Zahraie B., Identification of long-term annual pattern of meteorological drought based on spatiotemporal methods: evaluation of different geostatistical approaches, Natural Hazards, vol. 76, pp. 515-541, 2015.

Mishra, A.K., Singh, V.P., A review of drought concepts, Journal of Hydrology, vol. 391, pp. 202– 216, 2010.

Minea, I., Stângă, I.C., Analiza variabilităţii spaţiale a unor indici de apreciere a secetelor, ,,Riscuri şi Catastrofe”, Editor Sorocovshi,V., Editura Casa Cărţii de ştiinţă, Cluj-Napoca, pp. 138-149, 2004.

Gouveia C., M., Bistinas, I., Liberato, M., L., R., Bastos, A., The outstanding synergy between drought, heat waves and fuel on the 2007 Southern Greece exceptional fire season, Agricultural and Forest Meteorology, vol. 218-219, pp. 135-145, 2016.

http://earthobservatory.nasa.gov/NaturalHazards/view.php id=18635 accessed April 2016.

Persendt, F.C., Drought risk assessment using remote sensing and GIS to alleviate poverty. A case study of the Oshikoto region in Namibia, In: Conference onApplied Geoinformatics for Society and Environment (AGSE), Stuttgart Universityof AppliedSciences, Germany, 20– 21 August, 2009.

Tucker, C.J., Red and photographic infrared linear combinations for monitoringvegetation. Remote Sensing of Environment 8, 127–150, 1979.

http://www.fao.org/nr/water/aquastat/maps/index.stm accessed April 2016

http://anif.ro/ accessed April 2016. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org

Son N.T., Chen C.F., C.R. Chen, Chang L.Y., Minh V.Q., Monitoring agricultural drought in the Lower Mekong Basin using MODIS NDVI and land surface temperature data, International Journal of Applied Earth Observation and Geoinformation; vol. 18, pp. 417 -427, 2012.

Bayat B., Nasseri M., Zahraie B., Identification of long-term annual pattern of meteorological drought based on spatiotemporal methods: evaluation of different geostatistical approaches, Natural Hazards, vol. 76, pp. 515-541, 2015.

Mishra, A.K., Singh, V.P., A review of drought concepts, Journal of Hydrology, vol. 391, pp. 202– 216, 2010.

Minea, I., Stângă, I.C., Analiza variabilităţii spaţiale a unor indici de apreciere a secetelor, ,,Riscuri şi Catastrofe”, Editor Sorocovshi,V., Editura Casa Cărţii de ştiinţă, Cluj-Napoca, pp. 138-149, 2004.

Gouveia C., M., Bistinas, I., Liberato, M., L., R., Bastos, A., The outstanding synergy between drought, heat waves and fuel on the 2007 Southern Greece exceptional fire season, Agricultural and Forest Meteorology, vol. 218-219, pp. 135-145, 2016.

http://earthobservatory.nasa.gov/NaturalHazards/view.php id=18635 accessed April 2016.

Persendt, F.C., Drought risk assessment using remote sensing and GIS to alleviate poverty. A case study of the Oshikoto region in Namibia, In: Conference onApplied Geoinformatics for Society and Environment (AGSE), Stuttgart Universityof AppliedSciences, Germany, 20– 21 August, 2009.

Tucker, C.J., Red and photographic infrared linear combinations for monitoringvegetation. Remote Sensing of Environment 8, 127–150, 1979.

http://www.fao.org/nr/water/aquastat/maps/index.stm accessed April 2016

http://anif.ro/ accessed April 2016. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org