270
E.-S. E. Omran
12. Kandlinkar M, Risbey J (2000) Agricultural impacts of climate change: if adaptation is the
answer, what is the question? Clim Change 45:529–539
13. Nhemachena C, Hassan R (2007) Micro-level analysis of farmers’ adaptation to climate change
in Southern Africa. IFPRI discussion paper no 00714, International Food Policy Research
Institute, Washington, DC
14. Yegbemey RN, Yabi JA, Tovignan DS, Gantoli G, Kokoye SEH (2013) Farmers’ decisions to
adapt to climate change under various property rights: a case study of maize farming in Northern
Benin (West Africa). Land Use Policy 34:168–175. https://doi.org/10.1016/j.landusepol.2013.
03.001
15. Meroni M, Rembold F, Urbano F, Csak G, Lemoine G, Kerdiles H, Perez-Hoyoz A (2018) The
warning classification scheme of ASAP—anomaly hot spots of agricultural production. 2.1.
https://doi.org/10.2760/798528
16. Patel JH, Oza MP (2014) Deriving crop calendar using NDVI time-series. https://doi.org/10.
5194/isprsarchives-xl-8-869-2014
17. FAO (2005) FAO global information and early warning system (GIEWS). Available online:
http://www.fao.org/giews/countrybrief/index.jsp
18. GRiSP GRSP (2013) GRiSP: partnership in motion. International Rice Research Institute, Los
BaZos (Philippines)
19. United States Department of Agriculture (USDA) (1994) Major world crop areas and climatic
profiles. In: USDA agricultural handbook. JAWF, USDA, Washington, DC
20. FAO (2017) The state of food security and nutrition in the world. Food and Agriculture
Organization of the United Nations, Rome, Italy
21. ESCWA UNESCWA (2017) Arab climate change assessment report—main report.
Beirut, E/ESCWA/SDPD/2017/RICCAR/Report. www.unescwa.org/publications/riccar-arabclimate-change-assessment-report
22. Omran E, Negm A (2018) Adaptive management zones of Egyptian coastal lakes. In: The
handbook of environmental chemistry. Springer, Berlin, Heidelberg
23. Agrawala S, Moehner A, El Raey M, Conway D, Van Aalst M, Hagenstad M, Smith J
(2004) Development and climate change in Egypt: focus on coastal resources and the Nile.
Organisation for Economic Co-Operation and Development
24. Deryng D, Sacks WJ, Barford CC, Ramankutty N (2011) Simulating the effects of climate and
agricultural management practices on global crop yield. Glob Biogeochem Cycles 25, GB2006.
https://doi.org/10.1029/2009GB003765
25. Waha K, van Bussel LGJ, Müller C, Bondeau A (2012) Climate-driven simulation of global
crop sowing dates. Global Ecol Biogeogr 21:247–259
26. Sacks WJ, Deryng D, Foley JA, Ramankutty N (2010) Crop planting dates: an analysis of
global patterns. Glob Ecol Biogeogr 19:607–620
27. Kotera A, Nguyen KD, Sakamoto T, Iizumi T, Yokozawa M (2014) A modeling approach for
assessing rice cropping cycle affected by flooding, salinity intrusion, and monsoon rains in the
Mekong Delta, Vietnam. Paddy Water Environ 12:343–354
28. Sawano S, Hasegawa T, Goto S, Konghakote P, Polthanee A, Ishigooka Y, Kuwagata T, Toritani
H (2008) Modeling the dependence of the crop calendar for rain-fed rice on precipitation in
Northeast Thailand. Paddy Water Environ 6:83–90
29. You X, Meng J, Zhang M, Dong T (2013) Remote sensing based detection of crop phenology
for agricultural zones in China using a new threshold method. Remote Sens 5(7):3190–3211
30. de Beurs KM, Henebry GM (2010) Spatio-temporal statistical methods for modelling land
surface phenology. In: Keatley M, Hudson I (eds) Phenological research. Springer, Dordrecht
31. Meroni M, Verstraete MM, Rembold F, Urbano F, Kayitakire F (2014) A phenology based
method to derive biomass production anomalies for food security monitoring in the Horn of
Africa. Int J Remote Sens 35(7):2472–2492. https://doi.org/10.1080/01431161.2014.883090
32. Whitcraft AK, Becker-Reshef I, Justice CO (2015) Cloud cover throughout the agricultural
growing season: impacts on passive optical earth observations. Remote Sens Environ 156:438–
447
E.-S. E. Omran
12. Kandlinkar M, Risbey J (2000) Agricultural impacts of climate change: if adaptation is the
answer, what is the question? Clim Change 45:529–539
13. Nhemachena C, Hassan R (2007) Micro-level analysis of farmers’ adaptation to climate change
in Southern Africa. IFPRI discussion paper no 00714, International Food Policy Research
Institute, Washington, DC
14. Yegbemey RN, Yabi JA, Tovignan DS, Gantoli G, Kokoye SEH (2013) Farmers’ decisions to
adapt to climate change under various property rights: a case study of maize farming in Northern
Benin (West Africa). Land Use Policy 34:168–175. https://doi.org/10.1016/j.landusepol.2013.
03.001
15. Meroni M, Rembold F, Urbano F, Csak G, Lemoine G, Kerdiles H, Perez-Hoyoz A (2018) The
warning classification scheme of ASAP—anomaly hot spots of agricultural production. 2.1.
https://doi.org/10.2760/798528
16. Patel JH, Oza MP (2014) Deriving crop calendar using NDVI time-series. https://doi.org/10.
5194/isprsarchives-xl-8-869-2014
17. FAO (2005) FAO global information and early warning system (GIEWS). Available online:
http://www.fao.org/giews/countrybrief/index.jsp
18. GRiSP GRSP (2013) GRiSP: partnership in motion. International Rice Research Institute, Los
BaZos (Philippines)
19. United States Department of Agriculture (USDA) (1994) Major world crop areas and climatic
profiles. In: USDA agricultural handbook. JAWF, USDA, Washington, DC
20. FAO (2017) The state of food security and nutrition in the world. Food and Agriculture
Organization of the United Nations, Rome, Italy
21. ESCWA UNESCWA (2017) Arab climate change assessment report—main report.
Beirut, E/ESCWA/SDPD/2017/RICCAR/Report. www.unescwa.org/publications/riccar-arabclimate-change-assessment-report
22. Omran E, Negm A (2018) Adaptive management zones of Egyptian coastal lakes. In: The
handbook of environmental chemistry. Springer, Berlin, Heidelberg
23. Agrawala S, Moehner A, El Raey M, Conway D, Van Aalst M, Hagenstad M, Smith J
(2004) Development and climate change in Egypt: focus on coastal resources and the Nile.
Organisation for Economic Co-Operation and Development
24. Deryng D, Sacks WJ, Barford CC, Ramankutty N (2011) Simulating the effects of climate and
agricultural management practices on global crop yield. Glob Biogeochem Cycles 25, GB2006.
https://doi.org/10.1029/2009GB003765
25. Waha K, van Bussel LGJ, Müller C, Bondeau A (2012) Climate-driven simulation of global
crop sowing dates. Global Ecol Biogeogr 21:247–259
26. Sacks WJ, Deryng D, Foley JA, Ramankutty N (2010) Crop planting dates: an analysis of
global patterns. Glob Ecol Biogeogr 19:607–620
27. Kotera A, Nguyen KD, Sakamoto T, Iizumi T, Yokozawa M (2014) A modeling approach for
assessing rice cropping cycle affected by flooding, salinity intrusion, and monsoon rains in the
Mekong Delta, Vietnam. Paddy Water Environ 12:343–354
28. Sawano S, Hasegawa T, Goto S, Konghakote P, Polthanee A, Ishigooka Y, Kuwagata T, Toritani
H (2008) Modeling the dependence of the crop calendar for rain-fed rice on precipitation in
Northeast Thailand. Paddy Water Environ 6:83–90
29. You X, Meng J, Zhang M, Dong T (2013) Remote sensing based detection of crop phenology
for agricultural zones in China using a new threshold method. Remote Sens 5(7):3190–3211
30. de Beurs KM, Henebry GM (2010) Spatio-temporal statistical methods for modelling land
surface phenology. In: Keatley M, Hudson I (eds) Phenological research. Springer, Dordrecht
31. Meroni M, Verstraete MM, Rembold F, Urbano F, Kayitakire F (2014) A phenology based
method to derive biomass production anomalies for food security monitoring in the Horn of
Africa. Int J Remote Sens 35(7):2472–2492. https://doi.org/10.1080/01431161.2014.883090
32. Whitcraft AK, Becker-Reshef I, Justice CO (2015) Cloud cover throughout the agricultural
growing season: impacts on passive optical earth observations. Remote Sens Environ 156:438–
447