In the Gash Delta of Eastern Sudan, spate irrigation (flood-recession farming) contributes substantially to rural livelihoods by providing better yields than rainfed dryland farming. However, spate irrigation farmers are challenged by the unpredictability of flooding. In recent decades, the numbe...
Amarnath, Giriraj
,
Simons, G.W.H.
,
Alahacoon, Niranga
,
Smakhtin, V.
,
Sharma, Bharat R.
,
Gismalla, Y.
,
Mohammed, Y.
,
Andriessen, M.C.M.
,
[Using smart ICT to provide weather and water information to smallholders in Africa: the case of the Gash River Basin, Sudan]
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Using smart ICT to provide weather and water information to smallholders in Africa: the case of the Gash River Basin, Sudan
The performance of Satellite Rainfall Estimate (SRE) products applied to flood inundation modelling was tested for the Mundeni Aru River Basin in eastern Sri Lanka. Three SREs (PERSIANN, TRMM, and GSMaP) were tested, with the Rainfall-Runoff-Inundation (RRI) model used as the flood inundation mod...
Yoshimoto, Shuhei
,
Amarnath, Giriraj
,
[Applications of satellite-based rainfall estimates in flood inundation modeling: a case study in Mundeni Aru River Basin, Sri Lanka]
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Applications of satellite-based rainfall estimates in flood inundation modeling: a case study in Mundeni Aru River Basin, Sri Lanka
The satellite radar altimetry datasets are now extensively used for continental water monitoring although it was primarily designed for oceanic surface and ice cap studies. Water level estimated from satellite altimetry can help to assess many hydrological parameters like river discharge and rese...
Ghosh, S.
,
Thakur, P.K.
,
Sharma, R.
,
Nandy, S.
,
Garg, V.
,
Amarnath, Giriraj
,
Bhattacharyya, S.
,
[The potential applications of satellite altimetry with SARAL [Satellite with ARGOS and ALTIKA]/AltiKa for Indian inland waters]
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The potential applications of satellite altimetry with SARAL [Satellite with ARGOS and ALTIKA]/AltiKa for Indian inland waters
Increasing frequency of drought events coupled uncertainty imparted by climate change pose grave threat to agriculture and thereby overall food security. This is especially true in South Asian region where world’s largest concentration of people depends on agriculture for their livelihood. Indic...
Pani, Peejush
,
Alahacoon, Niranga
,
Amarnath, Giriraj
,
Bharani, Gurminder
,
Mondal, S.
,
Jeganathan, C.
,
[Comparison of SPI [Standardized Precipitation Index] and IDSI [Integrated Drought Severity Index] applicability for agriculture drought monitoring in Sri Lanka]
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Comparison of SPI [Standardized Precipitation Index] and IDSI [Integrated Drought Severity Index] applicability for agriculture drought monitoring in Sri Lanka
Amarnath, Giriraj
,
Pani, Peejush
,
Alahacoon, Niranga
,
Chockalingam, J.
,
Mondal, S.
,
Matheswaran, K.
,
Sikka, Alok
,
Rao, K. V.
,
Smakhtin, Vladimir
,
[Development of a system for drought monitoring and assessment in South Asia]
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Development of a system for drought monitoring and assessment in South Asia
Floods are one of the most frequent and widespread natural hazards in the world. A recent example is the 2011 floods in three of the four Lower Mekong Basin Countries (Thailand, Cambodia and Vietnam) that caused severe impacts in terms of loss of life and damage to infrastructure. Several studies...
Amarnath, Giriraj
,
Pavelic, Paul
,
Smakhtin, Vladimir U.
,
[Analysis of trends in extreme flood events and mitigation strategies in South East Asia]
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Analysis of trends in extreme flood events and mitigation strategies in South East Asia
Moderate Resolution Imaging Spectro-radiometer (MODIS) time-series Normalized Differential Vegetation Index (NDVI) products are regularly used for vegetation monitoring missions and climate change analysis. However, satellite observation is affected by the atmospheric condition, cloud state and s...
Mondal, S.
,
Jeganathan, C.
,
Amarnath, Giriraj
,
Pani, Peejush
,
[Time-series cloud noise mapping and reduction algorithm for improved vegetation and drought monitoring]
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Time-series cloud noise mapping and reduction algorithm for improved vegetation and drought monitoring