From 16eb38240c059c0edee4b0c876d421dfb920d306 Mon Sep 17 00:00:00 2001 From: Narayana Rao Bhogapurapu Date: Sat, 15 Jun 2024 19:34:51 -0400 Subject: [PATCH] minor update --- assets/js/chart.js | 4 ++-- index.html | 40 ++++++++++++++++------------------------ 2 files changed, 18 insertions(+), 26 deletions(-) diff --git a/assets/js/chart.js b/assets/js/chart.js index a8f2c41..66f669a 100644 --- a/assets/js/chart.js +++ b/assets/js/chart.js @@ -36,10 +36,10 @@ ctx.height = "150px"; var myChart = new Chart(ctx, { type: 'bar', data: { - labels: [" ", "2020", "2021", "2022","2023"], + labels: [ "2020", "2021", "2022","2023", "2024"], datasets: [{ label: '# citations', - data: [0,4, 30, 67, 84], + data: [4, 30, 67, 95, 50], backgroundColor: [ // 'rgba(255, 99, 132, 0.2)', 'rgba(54, 162, 235, 0.2)', diff --git a/index.html b/index.html index 3d21ff0..688126d 100644 --- a/index.html +++ b/index.html @@ -151,21 +151,8 @@

Postdoctoral Fellow

- - - My work focuses on the advancements and applicability of Synthetic Aperture Radar (SAR) polarimetric parameters to estimate soil moisture over croplands. In my work, I have devised a novel methodology to estimate soil moisture over - croplands solely using dual-pol GRD SAR data. The advantages of this method include continuous monitoring of soil - moisture over a larger scale at higher resolutions. Besides, I have also developed a novel methodology to estimate soil - moisture using full and compact polarimetric SAR data. On the other hand, monitoring and quantifying vegetation content - directly helps in better estimation of soil moisture. In this regard, I have developed different vegetation descriptors for dualpol GRD SAR data. - Besides, these descriptors are also capable of estimating crop biophysical parameters. These techniques - are successfully implemented using Amazon Web Services (AWS), Google Earth Engine (GEE) and Google Colaboratory - (Google Colab). These novel techniques and strategies might be helpful to develop operational agricultural crop monitoring - platforms through the Joint Experiment for Crop Assessment and Monitoring (JECAM) international research network as - well as upcoming satellite missions. My career objective is to obtain a researcher position in the field of remote sensing - application to agriculture to associate myself with a progressing science and the nation. Besides, I want to put my expertise - to the best use for the remote sensing and agricultural community, as well as widening my technical spectrum. -

+ My work focuses on the advancements and applicability of Synthetic Aperture Radar (SAR) techniques for crop and forest monitoring, ground deformation mapping, and soil moisture estimation. In my work, I have devised a novel methodology to estimate soil moisture over croplands solely using dual-pol GRD SAR data. The advantages of this method include continuous monitoring of soil moisture over a larger scale at higher resolutions. Besides, I have also developed a novel methodology to estimate soil moisture using full and compact polarimetric SAR data. On the other hand, monitoring and quantifying vegetation content directly helps better estimate soil moisture. In this regard, I have developed different vegetation descriptors for dual-pol GRD SAR data. Besides, these descriptors are also capable of estimating crop biophysical parameters. These techniques are successfully implemented using Amazon Web Services (AWS), Google Earth Engine (GEE), and Google Colaboratory (Google Colab). These novel techniques and strategies might be helpful in developing operational agricultural crop monitoring platforms through the Joint Experiment for Crop Assessment and Monitoring (JECAM) international research network as well as upcoming satellite missions. My current focus is developing algorithms for forest canopy height estimation using InSAR and LiDAR data. My career objective is to obtain a researcher position in the field of remote sensing application to agriculture and forestry to associate myself with a progressing science and the nation. Besides, I want to put my expertise to the best use for the remote sensing, agricultural, and forest ecosystems community, as well as widen my technical spectrum. +

@@ -438,16 +425,18 @@
Peer Recognition:

      Verified Publons account: https://publons.com/researcher/4144298/narayanarao-bhogapurapu/

Professional Membership:
Reviewer: Journals/Conferences/Projects
@@ -455,9 +444,12 @@
Reviewer: Journals/Conferences/Projects
  • Journal: @@ -708,19 +700,19 @@

    Publications

    All - Since 2018 + Since 2019 Citations - 185 - 185 + 249 + 248 h-index - 8 - 8 + 9 + 9 i10-index