DIVISION OF AGRICULTURAL PHYSICS,
INDIAN AGRICULTURAL RESEARCH INSTITUTE,
NEW DELHI – 110 012, INDIA
Hyperspectral Remote
Sensing for Agriculture
(HYPERAGRI-2013)
(Feb 18 to 27, 2013)
Announcement
SHORT COURSE ON
HYPERSPECTRAL REMOTE
SENSING FOR AGRICULTURE
(HYPERAGRI-2013)
Feb 18 to 27, 2013
ORGANIZED BY
DIVISION
OF AGRICULTURAL PHYSICS,
INDIAN
AGRICULTURAL RESEARCH INSTITUTE,
NEW
DELHI – 110
012, INDIA
SPONSORED BY
DEPARTMENT
OF SCIENCE & TECHNOLOGY,
MINISTRY
OF SCIENCE AND TECHNOLOGY,
GOVERNMENT OF INDIA
Background
and Objectives
The
Division of Agricultural Physics, Indian Agricultural Research Institute, New
Delhi is organizing a short course on “Hyperspectral Remote Sensing for
Agriculture” sponsored by Department of Science & Technology, Govt. of India,
during Feb 18 to 27, 2013 for the teachers, scientists, engineers,
research personnel of State Agricultural Universities, ICAR Institutes and Govt.
/ Semi Govt. Organizations.
Multispectral
remote sensing data have been potentially explored in India for various applications.
A major limitation of multispectral broadband remote sensing products is that
they use average spectral information over broadband widths resulting in loss
of critical information available in specific narrow bands. The narrow spectral
channels that constitute hyperspectral sensors enable the detection of small
spectral features that might otherwise be masked within the broader bands of
multi-spectral scanner systems.
However,
use of hyperspectral remote sensing is still in nascent stage. Keeping in view,
recent rapid advances in imaging spectroscopy and opportunities for unique
applications hitherto thought to be infeasible using broad-band remote sensing,
a the short course under the aegis of DSTNRDMS initiative on hyperspectral
remote sensing has been designed to develop trained human resource on
hyperspectral remote sensing and its application in agriculture.
Curriculum
A
series of lectures and practicals will cover principles and applications of
Hyperspectral Remote Sensing. This includes a detailed theoretical knowledge on
hyperspectral remote sensing (both in optical and thermal range), soil and
vegetation spectrometry, imaging spectrometry, protocol of spectral signature collection
both in field and laboratory conditions, Bidirectional Reflectance (BRDF),
radiative transfer modelling, pre-processing of hyperspectral data and its
classification algorithms, applications of hyperspectral remote sensing for
retrieval of soil and plant parameters, plant stress monitoring etc. The
theoretical knowledge will be supported by adequate hands on exposure on
spectral signature collection and their analysis, hyperspectral image processing
– pre processing, classification, spectral unmixing and spectral matching,
estimation of soil and plant parameters through empirical and radiative
transfer modelling.
Faculty
The
majority of the faculty is in-house, drawn from the Division of Agricultural
Physics and other Divisions of IARI, for delivering lectures and conducting
practicals. Guest faculties comprising of experts from SAC, ADRIN-ISRO, IIRS,
IITs, etc. will also deliver lectures on their specific area of
specialization and present recent case studies on hyperspectral remote sensing
applications.
Facilities
The
Division has been working for more than four decades on Remote Sensing and its
various applications in Agriculture through joint research programmes with ISRO
and funding from ICAR, DST and Ministry of Environment & Forest. The Division
has sophisticated RS & GIS laboratory equipped with state-of-the-art
hardwares and softwares. The hyperspectral remote sensing laboratory of the
division is well equipped with spectroradiometer, FTIR and many other
facilities for hyperspectral remote sensing research.
Eligibility
Teachers,
Scientists, Engineers, Research Personnel of State Agricultural Universities, ICAR
Institutes or Govt. / Semi Govt. Institutes, policy makers and academicians in
the field of Agriculture and Forestry are eligible for participation. Good
working knowledge on multispectral remote sensing and digital image processing
is mandatory. The total number of participants shall be limited to a
maximum of 25.
Financial
Support
Selected
participants shall be provided shortest route train or bus fare as per
eligibility and free lodging and boarding as per ICAR norms at IARI Guest House
/ Trainee’s Hostel. No registration fee will be charged for the course. The
financial support for the short course is provided by the Department of Science
& Technology, Govt. of India.
How
to apply
The
application for participation may be sent in prescribed proforma, duly
forwarded by the competitive authority of the Institute / University where the
candidate is employed. Applicants may send an advance copy of their
application, but their selection will be subject to receiving their original
application along with recommendation from their employer.
Completed
applications in all respect should be sent to the Course Director/Co-ordinator
on or before Feb 05, 2013 at the following address:
Dr.
Rabi N. Sahoo / Dr. Sanatan Pradhan
Course
Director Course Coordinator
Division
of Agricultural Physics, Indian Agricultural Research Institute,
Pusa
Campus, New Delhi – 110012
Phone:
+91-11- 25841178, 25848853, 25843014
+91
-11-25733888 Ext 4822; Fax: 011-2584
2321, 2584 3014
Website:
http://www.iari.res.in
Important
Dates
Last date for receiving
application proforma : Feb 05, 2013
Intimation of selection : Feb 08, 2013
Commencement of course : Feb 18, 2013
Application Proforma
Hyperspectral Remote Sensing for
Agriculture (HYPERAGRI-2013)
(Feb 18 to 27, 2013)
1. Full
Name (in block letters) :
2. Designation :
3. Basic Pay and
Scale :
4. Date of Birth :
5 Sex (Male/Female) :
6. Affiliation :
7. Address for
Correspondence :
(including Phone, Fax
& E-mail*)
(*compulsory as
acceptance will be sent by E-mail)
8. Educational
Qualifications :
Degree Major Subjects
Year Division / Class University / Institute Bachelor Masters Ph.D. Other
9. Working experience
in Multispectral Remote sensing and Digital Image Processing (Yes/No):
10. RS Trainings
Attended :
11. Current area of
Research / Project :
12. Does your current
Research / :
Project needs
Hyperspectral
Remote Sensing
Signature of
Applicant
Date:
Place:
16. Certificate and
Recommendation :
by the forwarding
authority It is certified that the information provided above is verified from
the records and found correct. The applicant is recommended & nominated for
attending the DST funded short course on Hyperspectral Remote Sensing for Agriculture
at IARI, New Delhi.
Date: Signature with
seal
Place:
of the Authority
For details, log on to the link:
http://www.iari.res.in/files/Training-14012013.pdf