Search Results - "Manjunath, K. R."

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  1. 1

    Greenhouse gas emissions from Indian livestock by Chhabra, Abha, Manjunath, K. R., Panigrahy, Sushma, Parihar, J. S.

    Published in Climatic change (01-03-2013)
    “…Livestock constitutes an integral component of Indian agriculture sector and also a major source of GHGs emissions. The study presents a detailed inventory of…”
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    Journal Article
  2. 2

    The carbon budget of South Asia by Patra, P. K, Canadell, J. G, Houghton, R. A, Piao, S. L, Oh, N.-H, Ciais, P, Manjunath, K. R, Chhabra, A, Wang, T, Bhattacharya, T, Bousquet, P, Hartman, J, Ito, A, Mayorga, E, Niwa, Y, Raymond, P. A, Sarma, V. V. S. S, Lasco, R

    Published in Biogeosciences (25-01-2013)
    “…The source and sinks of carbon dioxide (CO2) and methane (CH4) due to anthropogenic and natural biospheric activities were estimated for the South Asian region…”
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    Journal Article
  3. 3

    Hyperspectral leaf signature as an added dimension for species discrimination: case study of four tropical mangroves by Panigrahy, Sushma, Kumar, Tanumi, Manjunath, K. R

    Published in Wetlands ecology and management (01-04-2012)
    “…Hyperspectral leaf reflectance of a plant provides unique information that is characteristic of that plant. The present investigation is a preliminary attempt…”
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    Journal Article
  4. 4

    Deriving cropping system performance indices using remote sensing data and GIS by Panigrahy, S., Manjunath, K. R., Ray, S. S.

    Published in International journal of remote sensing (20-06-2005)
    “…The cropping system approach is a holistic management of variant and invariant resources to optimize the food production. Various indices are used to assess…”
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    Journal Article
  5. 5

    Rice crop parameter retrieval using multi-temporal, multi-incidence angle Radarsat SAR data by Chakraborty, M., Manjunath, K.R., Panigrahy, S., Kundu, N., Parihar, J.S.

    “…Temporal RADARSAT Standard beam SAR data of different incidence angle were analysed to study the temporal backscatter of rice crop for a predominant…”
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  6. 6

    Spatiotemporal modelling of methane flux from the rice fields of India using remote sensing and GIS by Manjunath, K. R., Panigrahy, S., Kumari, Kundan, Adhya, T. K., Parihar, J. S.

    Published in International journal of remote sensing (01-10-2006)
    “…Rice fields have been accredited as an important source of anthropogenic methane, with estimates of annual emission ranging from 47 to 60 Tg per year,…”
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  7. 7

    Mapping of rice-cropping pattern and cultural type using remote-sensing and ancillary data: a case study for South and Southeast Asian countries by Manjunath, K.R., More, Revati S., Jain, N.K., Panigrahy, Sushma, Parihar, J.S.

    Published in International journal of remote sensing (17-12-2015)
    “…A geospatial database on the spatial distribution of rice areas and rice cultural types of major rice-producing countries of South and Southeast Asia has been…”
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    Journal Article
  8. 8

    Comparative performance of semi-empirical based remote sensing and crop simulation model for cotton yield prediction by Prasad, N. R., Patel, N. R., Danodia, Abhishek, Manjunath, K. R.

    Published in Modeling earth systems and environment (01-06-2022)
    “…Early prediction of crop yield serves as a strategic plan for policymakers in making suitable import–export policies. In this research, remote sensing driven…”
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    Journal Article
  9. 9

    Large area operational wheat yield model development and validation based on spectral and meteorological data by Manjunath, K. R., Potdar, M. B., Purohit, N. L.

    “…Remote sensing (RS) data acquired by satellite have wide scope for agricultural applications owing to their synoptic and repetitive coverage. Especially the…”
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  10. 10

    Spatial pattern of methane emissions from Indian livestock by Chhabra, Abha, Manjunath, K. R., Panigrahy, Sushma, Parihar, J. S.

    Published in Current science (Bangalore) (10-03-2009)
    “…Methane is an important greenhouse gas which significantly contributes to global warming. Livestock is a major anthropogenic source of methane emission from…”
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    Journal Article
  11. 11

    Derivation of rice crop calendar and evaluation of crop phenometrics and latitudinal relationship for major south and south-east Asian countries: A remote sensing approach by More, Revati S., Manjunath, K.R., Jain, Nayan K., Panigrahy, Sushma, Parihar, J.S.

    Published in Computers and electronics in agriculture (01-09-2016)
    “…•A single source derived, un-extrapolated spatial rice crop calendar.•Demonstrates extraction of crop phenological parameters using spatial inputs.•Spatial…”
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    Journal Article
  12. 12

    Growth profile based crop yield models: A case study of large area wheat yield modelling and its extendibility using atmospheric corrected NOAA AVHRR data by Kalubarme, M. H., Potdar, M. B., Manjunath, K. R., Mahey, R. K., Siddhu, S. S.

    Published in International journal of remote sensing (20-05-2003)
    “…Wheat growth profile based yield models for 12 districts of Punjab State and 16 districts of Haryana State have been developed using the normalised difference…”
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    Journal Article
  13. 13

    Deducing Rice Crop Dynamics and Cultural Types of Bangladesh Using Geospatial Techniques by More, Revati, Manjunath, K. R

    “…Rice crop occupies an important aspect of food security and also contributes to global warming via GHGs emission. Characterizing rice crop using spatial…”
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    Journal Article
  14. 14
  15. 15

    Monsoon paddy monitoring and assessment using synthetic aperture radar data under BGREI programme in Odisha, India by Haldar, Dipanwita, Manjunath, K. R., Panigrahy, Sushma, Jain, Varunika, Gopalan, R. S., Khullar, Mukesh, Chakraborty, Manab, Parihar, J. S.

    Published in Paddy and water environment (01-10-2015)
    “…Bringing green revolution in eastern India (BGREI) is an initiative of Department of Agriculture and Co-operation (DAC) Ministry of Agriculture (MoA), Govt. of…”
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  16. 16

    Monitoring of forest cover in India: imaging spectroscopy perspective by Krishnayya, N. S. R., Christian, Binal, Vyas, Dhaval, Saini, Manjit, Joshi, Nikita, Manjunath, K. R., Kumar, Tanumi, Padalia, Hitendra, George, Rajee, Kushwaha, S. P. S.

    Published in Current science (Bangalore) (10-03-2015)
    “…Tropical forests are the most diverse and complex terrestrial systems. India is one of the mega diverse countries supporting rich floral diversity coming from…”
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  17. 17

    Wheat growth profile: satellite monitoring and crop yield modelling by Manjunath, K. R, Potdar, M. B

    “…The most important advantage of the low resolution National Oceanic and Atmospheric Administration’s Advanced Very High Resolution Radiometer (NOAA AVHRR) data…”
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  18. 18

    Developing Spectral Library of Major Plant Species of Western Himalayas Using Ground Observations by Manjunath, K. R, Kumar, Amit, Meenakshi, Mehra, Renu, R, Uniyal, S. K, Singh, R. D, Ahuja, P. S, Ray, S. S, Panigrahy, Sushma

    “…A spectral library of commonly occurring Himalayan plant species has been developed. The 512-channel ASD handheld Fieldspec®Pro, 2000 Spectroradiometer with…”
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  19. 19

    Role of Polarimetric SAR data for discrimination/biophysical parameters of crops based on canopy architecture by Haldar, D., Chakraborty, M., Manjunath, K. R., Parihar, J. S.

    “…Synthetic Aperture Radar (SAR) sensors have great potential for a wide range of agricultural applications, owing to their capability of all-weather…”
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    Journal Article Conference Proceeding
  20. 20

    Operational semi-physical spectral-spatial wheat yield model development by Tripathy, R., Chaudhary, K. N., Nigam, R., Manjunath, K. R., Chauhan, P., Ray, S. S., Parihar, J. S.

    “…Spectral yield models based on Vegetation Index (VI) and the mechanistic crop simulation models are being widely used for crop yield prediction. However, past…”
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    Journal Article Conference Proceeding