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  1. KRISHI Publication and Data Inventory Repository
  2. Natural Resource Management A8
  3. ICAR-National Bureau of Soil Survey and Land Use Planning M7
  4. NRM-NBSSLUP-Publication
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Please use this identifier to cite or link to this item: http://krishi.icar.gov.in/jspui/handle/123456789/37778
Title: On Spectral Indices as a Function of Soil Variability in Safflower Crop
Other Titles: Not Available
Authors: T.N. Hajare, N.G. Patil, K.S. Verma
ICAR Data Use Licennce: http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf
Author's Affiliated institute: ICAR:National Bureau of Soil Survey and Land Use Planning
Published/ Complete Date: 2008-09-30
Project Code: Not Available
Keywords: Spectral indices, Normalized differential vegetation index, Soil Variability
Publisher: Springer
Citation: Hajare T. N., Patil N. G., and Verma K. S (2008). On Spectral Indices as a Function of Soil Variability in Safflower Crop. Journal of the Indian Society of Remote Sensing 36(3):267-272.DOI:10.1007/s12524-008-0027-x
Series/Report no.: Not Available;
Abstract/Description: Spectral indices as an indicator of physiological traits affecting safflower yield in relation to soil variability were evaluated in a two year experiment (1997–1999). Reflectance, biometric and phonological data were collected. Two indices namely normalized differential vegetation index (NDVI) and ratio of spectral reflectance in infrared region to red region (1R/R) were derived from radiometric observation. Yield data indicated significant difference in different soils. Temporal NDVI behaviour as a function of soil type was not prominent especially in early stages of crop growth. However NDVI at 75 days after sowing (DAS) was found to be relatively better indicator of plant status and yield. IR/R was relatively less effective in indicating the differential response of crop to soil types. Effect of soil and crop interaction on spectral indices was significant at 75 and 90 DAS, which was attributed to attainment of maximum leaf area and leaf area at these stages of growth. Regression analysis showed strong positive relationship between NDVI and leaf area, dry matter and yield. IR/R and leaf area had the strongest and consistent relationship (r = 0.96). A single regression equation accounted for yield variability in the dataset. Thus possible transformation of NDVI maps (satellite data) to LAI units and consequently applications like yield forecasting was indicated. Utility of spectra-temporal data as a pointer of plant development status and yield was also demonstrated.
Description: Not Available
ISSN: Not Available
Type(s) of content: Research Paper
Sponsors: Not Available
Language: English
Name of Journal: Journal of the Indian Society of Remote Sensing
NAAS Rating: 7
Volume No.: 36(3)
Page Number: 267-272
Name of the Division/Regional Station: Division of Land Use Planning
Source, DOI or any other URL: 10.1007/s12524-008-0027-x
URI: http://krishi.icar.gov.in/jspui/handle/123456789/37778
Appears in Collections:NRM-NBSSLUP-Publication

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