S. Chauhan MSc (Sugandh)

PhD Candidate

About Me

I’m Sugandh Chauhan  and I am an AiO in the Department of Natural Resources, ITC/UT. My PhD topic here is 'Crop lodging detection and risk mapping: A multi-sensor approach'.

I did my masters from Indian Institute of Remote Sensing (under the Indian Space Research Organization) in the field of Remote Sensing and GIS with specialization in Sustainable Agriculture. My research mainly focused on the retrieval of wheat crop biophysical parameters using hybrid-polarized RISAT-1 SAR data. Additionally, I also performed a case study on the comparative evaluation of how sensitive is optical and like/cross polarized SAR data for various land cover classes. Besides this, I obtained my bachelor’s degree in the field of Agricultural Information Technology from Anand Agriculture University, India as a part of which I even secured a five-month mandatory internship at the Space Applications Centre, Indian Space Research Organization (ISRO), Ahmedabad (India). During this tenure, I worked on modelling runoff and spatio-temporal pattern characterization of extreme rainfall events over the mainland of India. In reference to the other project works undertaken, I also developed a web application based on the ‘Alternative Cropping and Farm Budgeting System’ and presented a seminar on ‘The Role of Remote Sensing in Precision Farming’.

In my spare time, I love cooking for my friends and family and actively participating in several sports, badminton and volleyball being my favorite. They have not only proved to be productive stress busters for me but have also taught me the importance of teamwork and to approach competition in a healthy manner. Although not a trained professional dancer, I just love to dance as a way to express my emotions of joy. I have performed in several high school and college musical events.

It’s been almost a year since I have joined here and I have seen a lot of professionalism during work hours. I am also aware of how friendly dutch people are with each other and this has created a great impression of professional etiquette and personal interaction on me. I envision working with every one effectively, gaining from their experiences and adding to the organization's prosperity.


Synthetic Aperture Radar
Leaf Area Index
Trend Analysis
Cloud Water
Land Cover
Water Content


The implementation of a cost-effective and stable wheat production framework is a priority to escalate wheat production. The successful examples from Latin America and Asia show that it is important to strengthen the innovative approaches in wheat production by using modern geospatial technologies for exploration of variation in crop biophysical parameters in different stress conditions (like lodging). Among the several agricultural hazards that affect crop’s yield and food security, crop lodging has been identified as one of the major yield-reducing and grain quality deteriorating factors in cereals like wheat. A rapid and quantitative evaluation of wheat lodging and its risk is indispensable for yield assessment and for accurately targeting the expenditure on lodging control. To this end, the aim of my study is to address the problem of lodging at a large spatial scale by exploring three major components - detecting crop lodging, detecting lodging stages, and lodging risk mapping, using remote sensing technique. Such a lodging monitoring system is not only needed for the impact assessment but also to timely disseminate the information to policy makers about the state of the crop fields and the pathway that the current situation would lead to. With the launch of new satellites such as the Sentinel series, remote sensing has been able to provide periodic, spectrally rich, and timely information over vast and remote areas. The goal here would be to develop a digital solution for sustainable agriculture on a large spatial scale based on geo-informatics methods and models. Since lodging usually happens in adverse climatic conditions, the integration of optical (Sentinel-2) and microwave (Sentinel-1/Radarsart-2) satellite data would be of particular interest to implement a crop lodging monitoring system when cloud-free optical data is scarce.


Chauhan, S., Srivastava, H. S., & Patel, P. (2018). Wheat crop biophysical parameters retrieval using hybrid-polarized RISAT-1 SAR data. Remote sensing of environment, 216, 28-43. DOI: 10.1016/j.rse.2018.06.014
Chauhan, S., Srivastava, H. S., & Patel, P. (2017). Improved parameterization of water cloud model for hybridpolarized backscatter simulation using interaction factor. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-4(W2), 61. [https://doi.org/10.5194/isprs-archives-XLII-4-W2-61-2017].
Chauhan, S., & Srivastava, H. S. (2016). Comparative Evaluation of the Sensitivity of Multi-Polarised SAR and Optical Data for Various Land Cover Classes. International Journal of Advancement in Remote Sensing, GIS and Geography, 4(1), 01-14.

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University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC (building no. 75)
Hengelosestraat 99
7514AE  Enschede
The Netherlands

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University of Twente
Faculty of Geo-Information Science and Earth Observation
P.O. Box 217
7500 AE Enschede
The Netherlands