Search Results - "Bindhu, V. M."

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  1. 1

    Development and verification of a non-linear disaggregation method (NL-DisTrad) to downscale MODIS land surface temperature to the spatial scale of Landsat thermal data to estimate evapotranspiration by Bindhu, V.M., Narasimhan, B., Sudheer, K.P.

    Published in Remote sensing of environment (01-08-2013)
    “…A nonlinear method (NL-DisTrad) was developed and tested to disaggregate satellite-derived estimates of land surface temperature of MODIS (Moderate Resolution…”
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    Journal Article
  2. 2

    An improved framework for mapping and assessment of dynamics in cropping pattern and crop calendar from NDVI time series across a heterogeneous agro-climatic region by Jeba, R Princy, Kirthiga, S. M., Issac, Annie Maria, Bindhu, V. M., Srinivasan, Raghavan, Narasimhan, Balaji

    Published in Environmental monitoring and assessment (01-11-2024)
    “…The absence of spatial and temporal cropping information in semi-arid regions poses a significant challenge in assessing the dynamics of agricultural systems…”
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    Journal Article
  3. 3

    Investigation of Role of Retention Storage in Tanks (Small Water Bodies) on Future Urban Flooding: A Case Study of Chennai City, India by Nithila Devi, N., Sridharan, B., Bindhu, V. M., Narasimhan, B., Bhallamudi, S. Murty, Bhatt, C. M., Usha, Tune, Vasan, D. Thirumalai, Kuiry, Soumendra Nath

    Published in Water (Basel) (01-10-2020)
    “…The Adyar River flowing through Chennai Metropolitan Area (CMA) in Southern India functions as a surplus course of upstream water bodies that are locally known…”
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    Journal Article
  4. 4

    Role of dams on the floods of August 2018 in Periyar River Basin, Kerala by Sudheer, K. P., Bhallamudi, S. Murty, Narasimhan, Balaji, Thomas, Jobin, Bindhu, V. M., Vema, Vamsikrishna, Kurian, Cicily

    Published in Current science (Bangalore) (10-03-2019)
    “…Kerala state (India) experienced a devastating flood event during the month of August 2018. While an extreme rainfall event (ERE) was the primary reason for…”
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    Journal Article
  5. 5

    Evaluation of Remote Sensing Rainfall Products, Bias Correction and Temporal Disaggregation Approaches, for Improved Accuracy in Hydrologic Simulations by Yaswanth, P., Kannan, B. Arul Malar, Bindhu, V. M., Balaji, C., Narasimhan, Balaji

    Published in Water resources management (01-06-2023)
    “…Flood risk management studies require reliable estimates of extreme precipitation at high spatial–temporal distribution to force hydrologic models. Recently,…”
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    Journal Article
  6. 6

    A Comparative Evaluation of the Performance of CHIRPS and CFSR Data for Different Climate Zones Using the SWAT Model by Dhanesh, Yeganantham, Bindhu, V. M., Senent-Aparicio, Javier, Brighenti, Tássia Mattos, Ayana, Essayas, Smitha, P. S., Fei, Chengcheng, Srinivasan, Raghavan

    Published in Remote sensing (Basel, Switzerland) (01-09-2020)
    “…The spatial and temporal scale of rainfall datasets is crucial in modeling hydrological processes. Recently, open-access satellite precipitation products with…”
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    Journal Article
  7. 7

    Investigation of the scaling characteristics of LANDSAT temperature and vegetation data: a wavelet-based approach by Rathinasamy, Maheswaran, Bindhu, V.M., Adamowski, Jan, Narasimhan, Balaji, Khosa, Rakesh

    Published in International journal of biometeorology (01-10-2017)
    “…An investigation of the scaling characteristics of vegetation and temperature data derived from LANDSAT data was undertaken for a heterogeneous area in Tamil…”
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    Journal Article
  8. 8

    A Spatio-temporal disaggregation method to derive time series of Normalized Difference Vegetation Index and Land Surface Temperature at fine spatial resolution by Bindhu, V. M., Narasimhan, B.

    “…Estimation of evapotranspiration (ET) from remote sensing based energy balance models have evolved as a promising tool in the field of water resources…”
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    Journal Article Conference Proceeding
  9. 9

    Development of a spatio-temporal disaggregation method (DisNDVI) for generating a time series of fine resolution NDVI images by Bindhu, V.M., Narasimhan, B.

    “…Normalized Difference Vegetation Index (NDVI), a key parameter in understanding the vegetation dynamics, has high spatial and temporal variability. However,…”
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    Journal Article
  10. 10

    A Novel Synthesis of Malic Acid Capped Silver Nanoparticles using Solanum lycopersicums Fruit Extract by Umadevi, M., Bindhu, M.R., Sathe, V.

    Published in Journal of materials science & technology (01-04-2013)
    “…Integration of green chemistry principles to nanotechnology is one of the key issues in nanoscience research. The development of the concept of green…”
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    Journal Article