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Journal Article 2017

Autor: Yoshimoto, Shuhei Amarnath, Giriraj

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...

Enlace original: https://cgspace.cgiar.org/handle/10568/89283

Investigación en Agricultura
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Yoshimoto, Shuhei ,  Amarnath, Giriraj ,  [Applications of satellite-based rainfall estimates in flood inundation modeling: a case study in Mundeni Aru River Basin, Sri Lanka] ,  Applications of satellite-based rainfall estimates in flood inundation modeling: a case study in Mundeni Aru River Basin, Sri Lanka
Journal Article 2017

Autor: Yoshimoto, Shuhei Amarnath, Giriraj

Capturing inundation extent by floods is indispensable for decision making for mitigating hazard. Satellite images have commonly been used for flood mapping, but there are limitations such as unavailability due to satellite’s orbital period or cloud cover. Additionally, it would also be beneficia...

Enlace original: https://cgspace.cgiar.org/handle/10568/91304

Investigación en Agricultura
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Yoshimoto, Shuhei ,  Amarnath, Giriraj ,  [Application of a flood inundation model to analyze the potential impacts of a flood control plan in Mundeni Aru River Basin, Sri Lanka] ,  Application of a flood inundation model to analyze the potential impacts of a flood control plan in Mundeni Aru River Basin, Sri Lanka
Journal Article 2017

Autor: Amarnath, Giriraj Matheswaran, Karthikeyan Pandey, Pooja Alahacoon, Niranga Yoshimoto, Shuhei

Northern Bihar is one of the major flood prone region in India affecting thousands of human lives and livelihoods during the recurrent floods occurring due to the monsoonal rains. While it is impossible to prevent the occurrence of extreme flood events, disaster planning can help in mitigating it...

Enlace original: https://cgspace.cgiar.org/handle/10568/91311

Investigación en Agricultura
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Amarnath, Giriraj ,  Matheswaran, Karthikeyan ,  Pandey, Pooja ,  Alahacoon, Niranga ,  Yoshimoto, Shuhei ,  [Flood mapping tools for disaster preparedness and emergency response using satellite data and hydrodynamic models: a case study of Bagmathi Basin, India] ,  Flood mapping tools for disaster preparedness and emergency response using satellite data and hydrodynamic models: a case study of Bagmathi Basin, India
Journal Article 2017

Autor: Ghosh, S. Thakur, P.K. Sharma, R. Nandy, S. Garg, V. Amarnath, Giriraj Bhattacharyya, S.

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...

Enlace original: https://cgspace.cgiar.org/handle/10568/91305

Investigación en Agricultura
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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] ,  The potential applications of satellite altimetry with SARAL [Satellite with ARGOS and ALTIKA]/AltiKa for Indian inland waters
Journal Article 2020-01-23

Autor: Modanesi, S. Massari, C. Camici, S. Brocca, L. Amarnath, Giriraj

Soil moisture is a highly suitable indicator for assessing agricultural drought, as plants start to wilt when there is not sufficient soil water to meet evapotranspiration demand. In this study, we provide insights on information obtained from satellite surface soil moisture observations (as comp...

Enlace original: https://cgspace.cgiar.org/handle/10568/107339

Investigación en Agricultura
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Modanesi, S. ,  Massari, C. ,  Camici, S. ,  Brocca, L. ,  Amarnath, Giriraj ,  [Do satellite surface soil moisture observations better retain information about crop-yield variability in drought conditions?] ,  Do satellite surface soil moisture observations better retain information about crop-yield variability in drought conditions?
Journal Article 2017-06-15

Autor: Tarpanelli, A. Amarnath, Giriraj Brocca, L. Massari, C. Moramarco, T.

Flooding is one of the most devastating natural hazards in the world and its forecast is essential in flood risk reduction and disaster response decision. The lack of adequate monitoring networks, especially in developing countries prevents near real-time flood prediction that could help to reduc...

Enlace original: https://cgspace.cgiar.org/handle/10568/99001

Investigación en Agricultura
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Tarpanelli, A. ,  Amarnath, Giriraj ,  Brocca, L. ,  Massari, C. ,  Moramarco, T. ,  [Discharge estimation and forecasting by MODIS and altimetry data in Niger-Benue River] ,  Discharge estimation and forecasting by MODIS and altimetry data in Niger-Benue River
Journal Article 2017

Autor: Amarnath, Giriraj Babar, S. Murthy, M.S.R.

Monitoring the changes in forest-cover and understanding the dynamics of the forest is becoming increasingly important for the sustainable management of forest ecosystems. This paper uses temporal MODIS Vegetation Continuous Field (MODIS-VCF) to monitor the tree cover change in the Indian region ...

Enlace original: https://cgspace.cgiar.org/handle/10568/89143

Investigación en Agricultura
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Amarnath, Giriraj ,  Babar, S. ,  Murthy, M.S.R. ,  [Evaluating MODIS-vegetation continuous field products to assess tree cover change and forest fragmentation in India: a multi-scale satellite remote sensing approach] ,  Evaluating MODIS-vegetation continuous field products to assess tree cover change and forest fragmentation in India: a multi-scale satellite remote sensing approach
Journal Article 2017

Autor: Mondal, S. Jeganathan, C. Amarnath, Giriraj Pani, Peejush

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...

Enlace original: https://cgspace.cgiar.org/handle/10568/81218

Investigación en Agricultura
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Mondal, S. ,  Jeganathan, C. ,  Amarnath, Giriraj ,  Pani, Peejush ,  [Time-series cloud noise mapping and reduction algorithm for improved vegetation and drought monitoring] ,  Time-series cloud noise mapping and reduction algorithm for improved vegetation and drought monitoring

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