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Conference Paper 2016

Autor: Pani, Peejush Alahacoon, Niranga Amarnath, Giriraj Bharani, Gurminder Mondal, S. Jeganathan, C.

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...

Enlace original: https://cgspace.cgiar.org/handle/10568/82779

Investigación en Agricultura
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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] ,  Comparison of SPI [Standardized Precipitation Index] and IDSI [Integrated Drought Severity Index] applicability for agriculture drought monitoring in Sri Lanka
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
Enlace permanente
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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