Tarendra Lakhankar
PhD

Dr Lakhankar’s teaching interests focusing on areas of core civil engineering including hydraulics and hydrology, groundwater and soil remediation, water resources and environmental engineering. He primarily interested in integrating remote sensing and geographical information system into a wide range of civil engineering issues that include environmental engineering, hydrological modeling, water resources, and transportation engineering. Additionally he is interested in teaching courses in the application of computer programming and statistics to civil engineering as courses of this type will prepare graduating students for easy transition into the workplace. I encourage the use of computational packages (HEC-RAS, HEC-HMS, SAS, SPSS, MODEFLOW, ERDAS) related to the courses, so that graduating student develop some proficiency in the tools used by professionals.

List of courses taught at The City College of New York:

Summer Workshop for Undergraduate and High School Students in Remote Sensing and GIS.

Summer Bridge and REU (UG)
– GIS Module
HIRES Program (High School)
– GIS Module
UMES Geosciences Program (UG)
– Remote Sensing and GIS Module

In this course students will learn how to use the underlying concepts of Geographic Information Systems for problems in Water Resources engineering. We will start with a review of the basic concepts of GIS, such as the use Coordinate systems, projections, data concepts, and geographic references. After refreshing this knowledge we will apply these concepts to typical hydrologic tasks, such as Terrain modeling, watershed delineation, computation and extraction of river and watershed networks including spatial analysis computations. Once we have mastered that the course will also introduce some modeling concepts and expand on the integration of time series and geospatial data in general. We will also add some components that address remote sensing data products and their analysis within the GIS environment. The course will be rounded out with some special topics related to challenges that remain for geospatial information systems, such as data heterogeneity, data about data (metadata), and how one can search best for data.

Using drone technology for Snow monitoring
This introductory remote sensing course covers different environments where remote sensing can be applied, including discussion about a variety of space platforms and selected sensors that orbit the Earth. Emphasis is placed on the application of remote sensing on the interactions between the hydrosphere, biosphere, geosphere and atmosphere as well as bio-productivity and geophysical/geochemical processes in the oceans. By the end of this class student should be able to: Understand the principles of EM wave and interactions with surface/atmosphere that are relevant to remote sensing (e.g., surface scattering vs particle scattering), Describe various types of remote sensing systems (e.g., visible, Infrared, microwave, etc.), Understand the fundamental principles for different types of remote sensing systems, Understand resolutions and viewing geometry of different remote sensing systems, and Describe different satellite orbits that are used for Earth Observations.
Using drone technology for Snow monitoring
The goal of this course is: 1) Develop an appreciation for the components of the hydrologic cycle, how they interact, and how they transport various materials; 2) Practice quantitative techniques for estimating the magnitude of different components of the hydrologic cycle; Become more comfortable making reasonable estimates, utilizing data, and addressing open-ended questions in engineering problem solving and design; 3) Become familiar with the agencies, organizations, and institutions participating in scientific research and management of the Southern Hudson River; 4) Improve their ability to communicate technical material in written form and orally; 5) Better their ability to do research: identify and collect needed information, analyze data, draw and support appropriate conclusions, and provide recommendations for future studies; 6) Improve their ability to work as part of a team effectively; 7) Develop their skills in completing an open-ended project under time constraints using a systematic, phased approach.
Using drone technology for Snow monitoring

The goal of this course is to develop an understanding of geographic space and how maps represent geographic space. In this class you will learn about the basic principles of maps, their specialized contents, and how to create these maps. The class will also address approaches to map projections, reference systems, and where to find locations. The class will introduce you to basic objects such as points, lines, and polygons in addition to features and ways to organize these in classes. It will also cover principles of geographic information systems, learn about spatial analysis, and how to represent data via data models such as raster and vector formats in addition to store and organize data in a geo-database. You will get hands on experience in using GIS software and acquire basic skills to insert, create, and extract data from different sources in addition to manipulating these in the GIS environment. 4 hr/wk; one 2.0-hour lecture; one 2.0-hour Lab, 3 cr.

Using drone technology for Snow monitoring

The aim of this course is to give civil engineering majors a basic understanding of flow systems in closed and open hydraulic and hydrologic systems. This course is designed to provide detail computation for studying, analyzing and design of components of hydraulic systems such as pipes, pumps, open channels and storm collection systems. Included in this course will be two hydraulic laboratory experiments and three computer lab experiments using a commercial software (i.e. Haestad-Method© software) which help students to design and visualize different hydraulic and hydrological phenomena in professional manner.

Using drone technology for Snow monitoring