Introduction

Objectives

Technical Program

Team

Partner Institute

 

PAU Ludhiana (Lead)

 

CSSRI Karnal
  NBS & LUP Nagpur
  PRSC Ludhiana
  JDI PUNE

  NAIP Office

CAC

CIC

CMU

Related Links

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Progress

Latest News

 
 CSSRI, KARNAL
 
 

Scientist Involved in the Project

Name & Designation

Telephone, Fax Number
Email & website

Dr. Ms. Madhurama Sethi
Principal Scientist
 
Phone: 09416467901 (M)
Phone:- 0184-2290830, 2291119 (ext 160)
Fax: 0184-2290480
Email: madhurama98@yahoo.com
Website: www.cssri.org
Dr. S K Singh,
Principal Scientist
 
Phone:- 0184-2290830, 2291119 (ext 124)
Fax: 0184-2290480
Website: www.cssri.org
Dr. D S Bundela,
Senior Scientist
 
Phone:- 0184-2290830, 2291119
Fax: 0184-2290480
Email: dbundela@cssri.ernet.in
Website: www.cssri.org
Mr. Rakesh Bhambri
Research Associate
rakeshbhambri@gmail.com
 
Quantifiable deliverables
 
Objective 1. Establishment of relationships between spectral reflectance and key soil & plant properties of agronomic importance

S. No

Activity

III Year

IV Year

Deliverables Output

Deliverables

Output

Outcome

1. Identification of bands specific to reflection characteristics of georeferenced representative salt affected and waterlogged soil sites.
 
Study of spectra and creation of site specific reflectance database specific to salt affected soil Reflection bands for different salt affected soils and properties

 
    Reflection bands for different salt affected soil series and its properties

 
2. Establishment of relationships between wave bands of spectra’s with different soil properties like Soil organic carbon, EC, pH, major cations and anions, available N, P and soil moisture some established soil units in salt affected soils s Generation of correlation matrices between identified wavelengths with different soil properties

 
Correlation matrices between identified wavelengths with different soil properties
 
    Correlation matrices between identified wavelengths with different salt affected and waterlogged soil properties

 
3. Development of experimental protocols and their subsequent validation for key parameters in salt affected soils. Identification and validation of spatial model for different soil properties through spectral bands Validated model for different salt affected soil properties through wave bands     Validated model for different salt affected soil properties through wave bands
 
4. Identification and establishment of bands specific to reflection characteristics of nutrients, plant chlorophyll and leaf area index for rice-wheat crops prevailing in the region Correlation matrices of different bands for nutrients and leaf area index for wheat and rice crop Reflectance bands for nutrients and LAI for wheat and rice crop     Reflectance bands for nutrients and LAI for wheat and rice crop
 
Objective 4: Integration of the results of spectral relationships obtained in objective 1 with different remote sensing techniques for quantification of soil and plant properties for management of large fields.
 

S. No

Activity

III Year

IV Year

Deliverables Output

Deliverables

Output

Outcome

1. Creation of standard multispectral images of soils for diagnosis

 
    Different Images for different properties of soils
 
Ground based and remotely sensed images Ground based and remotely sensed satellite images of selected sites
2. Comparison and correlation of these images with satellite imageries

 
    Correlation models between ground based images and satellite sensed data Relationships between ground based and satellite sensed images Relationships between ground based and remotely sensed satellite images
3. Identification of different soil properties on the basis of established correlation

 
    Decision support system for determination of different properties of soils using remotely sensing satellite data Protocols for different properties of soil through remote sensing satellite data Protocols for different properties of soils through remote sensing satellite data
 
Time schedule of activities and activity milestones
 
Objective 1. Establishment of relationships between spectral reflectance and key soil & plant properties of agronomic importance
S. No.

Objective/activity

Activity milestones

Milestone and when to be attained

Expected output

1 2 3 4
1. Identification of bands specific to reflection characteristics of georeferenced representative salt affected and waterlogged soil sites. Reflection bands for different salt affected soil series and its properties

 
      Reflection bands for different salt affected soils and properties

 
2. Establishment of relationships between wave bands of spectra’s with different soil properties like Soil organic carbon, EC, pH, major cations and anions, available N, P and soil moisture some established soil units in salt affected soils s Correlation matrices between identified wavelengths with different salt affected and waterlogged soil properties

 
      Correlation matrices between identified wavelengths with different soil properties

 
3. Development of experimental protocols and their subsequent validation for key parameters in salt affected soils. Validated model for different salt affected soil properties through wave bands
 
      Validated model for different salt affected soil properties through wave bands

 
 
Objective 4. Integration of the results of spectral relationships obtained in objective 1 with different remote sensing techniques for quantification of soil and plant properties for management of large fields.
 
S. No.

Objective/activity

Activity milestones

Milestone and when to be attained

Expected output

1 2 3 4
1. Creation of standard multispectral images of soils for diagnosis

 
Ground based and remotely sensed satellite images of selected sites      

 

Ground based and remotely sensed images
2. Comparison and correlation of these images with satellite imageries Relationships between ground based and remotely sensed satellite images       Relationships between ground based and satellite sensed images
3. Identification of different soil properties on the basis of established correlation
 
Protocols for different properties of soils through remote sensing satellite data       Protocols for different properties of soil through remote sensing satellite data