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A seamless vegetation type map of India (scale 1: 50,000) prepared using medium-resolution IRS LISS-III images is presented. The map was created using an on-screen visual interpretation technique and has an accuracy of 90%, as assessed using 15,565 ground control points. India has hitherto been u...


Roy, P.S.Behera, M.D.Murthy, M.S.R.Roy, A.Singh, S.Kushwaha, S.P.S.Jha, C.S.Sudhakar, S.Joshi, Pramod K.Reddy, S.Gupta, S.Pujar, G.Dutt, C.B.S.Srivastava, V.K.Porwal, M.C.Tripathi, P.Singh, J.S.Chitale, V.Skidmore, Andrew K.Rajshekhar, G.Kushwaha, D.Karnatak, H.Saran, S.Amarnath, GirirajPadalia, H.Kale, M.Nandy, S.Jeganathan, C.Singh, C.P.Biradar, Chandrashekhar M.Pattanaik, C.Singh, D.K.Devagiri, G.M.Talukdar, G.Panigrahy, R.K.Singh, H.Sharma, J.R.Haridasan, K.Trivedi, S.Singh, K.P.Kannan, L.Daniel, M.Misra, M.K.Niphadkar, M.Nagabhatla, N.Prasad, N.Tripathi, O.P.Prasad, P.R.C.Dash, P.Qureshi, Q.Tripathi, S.K.Ramesh, B.R.Gowda, B.Tomar, S.Romshoo, S.Giriraj, S.Ravan, S.A.Behera, S.K.Paul, S.Das, Anup K.Ranganath, B.K.Singh, T.P.Sahu, T.R.Shankar, U.Menon, A.R.R.Srivastava, G.Sharma, N.S.Mohapatra, U.B.Peddi, A.Rashid, H.Salroo, I.Krishna, P.H.Hajra, P.K.Vergheese, A.O.Matin, S.Chaudhary, S.A.Ghosh, S.Lakshmi, U.Rawat, D.Ambastha, K.Malik, A.H.Devi, B.S.S.Sharma, K.C.Mukharjee, P.Sharma, A.Davidar, P.Raju, R.R.V.Katewa, S.S.Kant, S.Raju, V.S.Uniyal, B.P.Debnath, B.Rout, D.K.Thapa, R.Joseph, S.Chhetri, P.Ramachandran, R.M.[New vegetation type map of India prepared using satellite remote sensing: comparison with global vegetation maps and utilities]New vegetation type map of India prepared using satellite remote sensing: comparison with global vegetation maps and utilities

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 ...


Amarnath, GirirajBabar, 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

Remote sensing of soil moisture has reached a level of good maturity and accuracy for which the retrieved products are ready to use in real-world applications. Due to the importance of soil moisture in the partitioning of the water and energy uxes between the land surface and the atmosphere, a w...


Brocca, L.Crow, W.T.Ciabatta, L.Massari, C.Rosnay, P. deEnenkel, M.Hahn, S.Amarnath, GirirajCamici, S.Tarpanelli, A.Wagner, W.[A review of the applications of ASCAT [ Advanced SCATterometer] soil moisture products]A review of the applications of ASCAT [ Advanced SCATterometer] soil moisture products

Sri Lanka is facing severe flood events during monsoon rainfall in each year all over the country. The rapid development of remote sensing and widely available satellite images can be used effectively to map the flood inundation in past years. This study is focused on the mapping of flood inundat...


Amarnath, GirirajAlahacoon, NirangaInada, Yoshiaki[Inundations in the Sri Lanka: monitoring and analysis from MODIS [Moderate Resolution Imaging Spectroradiometer] and ALOS [Advanced Land Observing Satellite] instrument]Inundations in the Sri Lanka: monitoring and analysis from MODIS [Moderate Resolution Imaging Spectroradiometer] and ALOS [Advanced Land Observing Satellite] instrument

Over last decades, we have witnessed an upward global trend in natural disaster occurrence. Hydrological and meteorological disasters are the main contributors to this pattern. In 2011, hydrological disaster, such as floods and wet mass movements, represented 52% of the overall disaster reported,...


Amarnath, GirirajRajah, AmeerAlahacoon, NirangaInada, YoshiakiInoue, R.Aggarwal, Pramod K.[Potential of satellite data in catastrophic flood risk mapping and assessment: case studies from Asia and Africa]Potential of satellite data in catastrophic flood risk mapping and assessment: case studies from Asia and Africa

Food security and economic livelihood of millions of people in Asia and Africa shall continue to depend upon the flows in the major rivers. Variability of water and other resources in time and space is the major natural impediment for sustainable agriculture, food production and development...


Amarnath, GirirajSharma, Bharat R.Smakhtin, Vladimir U.[Managing water resources in agriculture: opportunities from earth observation. [Abstract only].]Managing water resources in agriculture: opportunities from earth observation. [Abstract only].

A merging procedure is applied to five daily rainfall estimates achieved via SM2RAIN applied to the soil moisture products obtained by the Advanced SCATterometer, the Advanced Microwave Scanning Radiometer 2, the Soil Moisture Active and Passive mission, the Soil Moisture and Ocean Salinity missi...


Tarpanelli, A.Massari, C.Ciabatta, L.Filippucci, P.Amarnath, GirirajBrocca, L.[Exploiting a constellation of satellite soil moisture sensors for accurate rainfall estimation]Exploiting a constellation of satellite soil moisture sensors for accurate rainfall estimation

Over 750 million people in South Asia are vulnerable to natural disasters. Climate change - induced factors such as erratic rainfall and severe oods, extended droughts, tropical cyclones or saline water intrusion, are making the situation worse. Smallholder farmers are amongst the most vulnerable...


Amarnath, Giriraj[Technology and smallholders: helping farmers to future-proof crops with satellite data and high-tech seeds.]Technology and smallholders: helping farmers to future-proof crops with satellite data and high-tech seeds.

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, GirirajPani, 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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