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minor update
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@Narayana-Rao
Narayana-Rao committed Jun 15, 2024
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4 changes: 2 additions & 2 deletions assets/js/chart.js
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Expand Up @@ -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)',
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40 changes: 16 additions & 24 deletions index.html
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Expand Up @@ -151,21 +151,8 @@ <h3>Postdoctoral Fellow </h3> <!--&amp; Graphic Designer</h3>-->
</div>
</div>
<p align="justify">

<!-- <span style="color:#1af07d">Narayanarao Bhogapurapu</span> received the B.E. degree in civil engineering from Andhra University, India in 2016 and M.Tech in Remote Sensing and GIS from National Institute of Technology, Warangal, India in 2018. He is currently research scholar at MRSLab, Centre of Studies in Resources Engineering (CSRE), Indian Institute of Technology, Bombay. His research interest includes fusion of active and passive microwave remote sensing data for soil moisture retrieval. He did his masters thesis work on Ground Penetrating Radar at Space Applications Center-ISRO, Ahmedabad. -->
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.
</p>
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.
</p>
</div>
</div>

Expand Down Expand Up @@ -438,26 +425,31 @@ <h5 style="color:#1af07d;">Peer Recognition:</h5>
<p> &nbsp; &nbsp; &nbsp; <strong> Verified Publons account:</strong> <a href="https://publons.com/researcher/4144298/narayanarao-bhogapurapu/">https://publons.com/researcher/4144298/narayanarao-bhogapurapu/</a> </p>
<p>
<ul>
<li><strong>Session manager in sessions:</strong> MO2.R6, TU2.R15, WE1.R1, WE2.R10, THU2.R15, FR2.R5 in IEEE Interna-tional Geoscience and Remote Sensing Symposium-IGARSS 2020, Hawaii, United States of America. </li>
<li><strong>Session manager in sessions:</strong> WE1.R2, FR2.R1 in IEEE International India Geoscience and Remote SensingSymposium 2020, Gujrat, India. </li>
<li><strong>Session chair in sessions: </strong> TU1.R8, THU4.R7, and FR1.R7 in IEEE International Geoscience and Remote Sensing Symposium-IGARSS 2023, Pasadena, United States of America. </li>
<li><strong>Session manager in sessions:</strong> MO2.R6, TU2.R15, WE1.R1, WE2.R10, THU2.R15, FR2.R5 in IEEE Interna-tional Geoscience and Remote Sensing Symposium-IGARSS 2020, Hawaii, United States of America. </li>
<li><strong>Session manager in sessions:</strong> : Tutorial HD-3, Young Professional Events, FR2.H2 in IEEE International India Geoscience and Remote Sensing Symposium 2021, Gujarat, India.</li>
<li><strong>Session manager in sessions:</strong> WE1.R2, FR2.R1 in IEEE International India Geoscience and Remote SensingSymposium 2020, Gujrat, India. </li>
</ul>
</p>


<h5 style="color:#1af07d;">Professional Membership:</h5>
<ul>
<li>IEEE Geoscience and Remote Sensing Society (S’19)</li>
<li>American Geophysical Union (S’22)</li>
<li>IEEE Geoscience and Remote Sensing Society (S’19 M'23)</li>
<li>American Geophysical Union (S’22 M'23)</li>
<li>Indian Society of Remote Sensing (Life Member’21 – L-5619)</li>
</ul>
<h5 style="color:#1af07d;">Reviewer: Journals/Conferences/Projects</h5>
<ul>
<li>Journal:
<ul>
<li>Remote Sensing of Environment </li>
<li>IEEE Geoscience and Remote Sensing Magazine </li>
<li>IEEE Geoscience and Remote Sensing Letters</li>
<li>International Journal of Remote Sensing</li>
<li>Canadian Journal of Remote Sensing</li>
<li>IEEE Access</li>
<li>Current Science Journal</li>
<li>Journal of Open Source Software</li>
<li>Progress In Electromagnetics Research</li>
</ul>
Expand Down Expand Up @@ -708,19 +700,19 @@ <h2>Publications</h2>
<tr>
<th class="tg-7803"></th>
<th class="tg-v9qq"><span style="color:#1af07d">All</span></th>
<th class="tg-v9qq"><span style="color:#1af07d">Since 2018</span></th>
<th class="tg-v9qq"><span style="color:#1af07d">Since 2019</span></th>
</tr>
</thead>
<tbody>
<tr>
<td class="tg-ei2i">Citations</td>
<td class="tg-my85">185</td>
<td class="tg-my85">185</td>
<td class="tg-my85">249</td>
<td class="tg-my85">248</td>
</tr>
<tr>
<td class="tg-ei2i">h-index</td>
<td class="tg-my85">8</td>
<td class="tg-my85">8</td>
<td class="tg-my85">9</td>
<td class="tg-my85">9</td>
</tr>
<tr>
<td class="tg-ei2i">i10-index</td>
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