Zobrazeno 1 - 10
of 40
pro vyhledávání: '"M. Tugrul Yilmaz"'
Publikováno v:
Remote Sensing, Vol 13, Iss 7, p 1251 (2021)
Agricultural droughts impose many economic and social losses on various communities. Most of the effective tools developed for agricultural drought assessment are based on vegetation indices (VIs). The aim of this study is to compare the response of
Externí odkaz:
https://doaj.org/article/1da7e090b5a14de48607f9d47d0fdade
Autor:
Burak Bulut, M. Tugrul Yilmaz, Mehdi H. Afshar, A. Ünal Şorman, İsmail Yücel, Michael H. Cosh, Osman Şimşek
Publikováno v:
Remote Sensing, Vol 11, Iss 16, p 1875 (2019)
This study evaluates the performance of widely-used remotely sensed- and model-based soil moisture products, including: The Advanced Scatterometer (ASCAT), the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E), the European Space
Externí odkaz:
https://doaj.org/article/8eb5b796a7e7458a8242aa92115f9dee
Autor:
Ali Danandeh Mehr, Burak Bulut, Mehdi H. Afshar, Fatih Tosunoglu, Ali Unal Sorman, M. Tugrul Yilmaz
Publikováno v:
Afshar, M H, Şorman, A Ü, Tosunoğlu, F, Bulut, B, Yilmaz, M T & Danandeh Mehr, A 2020, ' Climate change impact assessment on mild and extreme drought events using copulas over Ankara, Turkey ', Theoretical and Applied Climatology . https://doi.org/10.1007/s00704-020-03257-6
Climate change, one of the major environmental challenges facing mankind, has caused intermittent droughts in many regions resulting in reduced water resources. This study investigated the impact of climate change on the characteristics (occurrence,
Publikováno v:
Remote Sensing; Volume 13; Issue 7; Pages: 1251
Remote Sensing, Vol 13, Iss 1251, p 1251 (2021)
Remote Sensing
Remote Sensing, MDPI, 2021, 13 (7), pp.1251. ⟨10.3390/rs13071251⟩
Remote Sensing, Vol 13, Iss 1251, p 1251 (2021)
Remote Sensing
Remote Sensing, MDPI, 2021, 13 (7), pp.1251. ⟨10.3390/rs13071251⟩
International audience; Agricultural droughts impose many economic and social losses on various communities. Most of the effective tools developed for agricultural drought assessment are based on vegetation indices (VIs). The aim of this study is to
Autor:
Ali Levent Yagci, M. Tugrul Yilmaz
Publikováno v:
Springer Remote Sensing/Photogrammetry ISBN: 9783030663865
Soil moisture, evapotranspiration, and agricultural drought are so closely interlinked phenomena that deficiency in soil moisture causes reduction in ET, which eventually leads to vegetative stress and agricultural drought. Monitoring of soil moistur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7029a577a87f5c6609fe10d0fb3de072
https://doi.org/10.1007/978-3-030-66387-2_15
https://doi.org/10.1007/978-3-030-66387-2_15
Autor:
M. Tugrul Yilmaz
Publikováno v:
Springer Remote Sensing/Photogrammetry ISBN: 9783030663865
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9513b78462214f70ac81fa2779ce4c91
https://doi.org/10.1007/978-3-030-66387-2
https://doi.org/10.1007/978-3-030-66387-2
This study evaluates relative performances of different statistical algorithms to enhance radar-based quantitative precipitation estimation (QPE) accuracy using rain gauge network data. Initial investigations are implemented using observations obtain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c95b3afdb194ee7c286bb5a8183c46ed
https://doi.org/10.5194/egusphere-egu2020-18780
https://doi.org/10.5194/egusphere-egu2020-18780
Monitoring agricultural crop conditions during the growing season and estimating potential crop yields are important for evaluating seasonal production. The accurate and timely assessment of the losses in crop yields caused by a natural disaster, suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e02f2ec3fb8f2dcd1cfe6f2c768b4a89
https://doi.org/10.5194/egusphere-egu2020-1067
https://doi.org/10.5194/egusphere-egu2020-1067
Global numerical weather prediction models (NWP) such as the European Centre for Medium-Range Weather Forecasts (ECMWF) and Global Forecast System (GFS) generate atmospheric data for the entire world. However, these models provide the data at large s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f86c8572a2db4a3d0d9840d38c2a9c1
https://doi.org/10.5194/egusphere-egu2020-1026
https://doi.org/10.5194/egusphere-egu2020-1026
Publikováno v:
Atmospheric Research. 264:105816
This study investigates the impact of sea surface temperature (SST) describing the lower boundary of Weather Research and Forecasting (WRF) model on the extreme weather events that occurred on the Mediterranean (MED) and the Eastern Black Sea (EBS) r