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http://krishi.icar.gov.in/jspui/handle/123456789/34665
Title: | Inversion of PROSAIL Model for Retrieval of Plant Biophysical Parameters |
Other Titles: | Not Available |
Authors: | Rahul Tripathi Rabi Narayan Sahoo Vinay Kumar Sehgal Rakesh Kumar Tomer Debashish Chakraborty Shantha Nagarajan |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Indian Agricultural Research Institute ICAR::National Rice Research Institute |
Published/ Complete Date: | 2011-05-25 |
Project Code: | Not Available |
Keywords: | Remote Sensing BRDF PROSAIL LAI Mustard |
Publisher: | Springer |
Citation: | Tripathi, R., Sahoo, R.N., Sehgal, V.K., Tomar, R.K., Chakraboty, D., Nagarajan, S. (2012). Inversion of PROSAIL Model for Retrieval of Plant Biophysical Parameters. J Indian Soc Remote Sens, 40:19–28. https://doi.org/10.1007/s12524-011-0129-8 |
Series/Report no.: | Not Available; |
Abstract/Description: | The current development of satellite technology particularly in the sensors like POLDER and MISR, has emphasized more on directional reflectance measurements (i.e. spectral reflectance of the target measured from different view zenith and azimuth angles) of the earth surface features mainly the vegetation for retrieval of biophysical parameters at regional scale using radiative transfer models. This approach being physical process based and uses directional reflectance measurement has been found to better and more reliable compared to the conventional statistical approach used till date and takes care of anisotropic nature (i.e. reflectance from the target is different if measured from different view angles) of the target. Keeping this in view a field experiment was conducted in mustard crop to evaluate the radiative transfer model for biophysical parameter retrieval through its inversion with the objectives set as (i) to relate canopy biophysical parameters and geometry to its bidirectional reflectance, (ii) to evaluate a canopy reflectance model to best represent the radiative transfer within the canopy for its inversion and (iii) to retrieve crop biophysical parameters through inversion of the model. Two varieties of the mustard crop (Brassica juncea L) were grown with two nitrogen treatments. The bidirectional reflectance data obtained at 5 nm interval for a range of 400–1100 nm were integrated to IRS LISS–II sensor’s four band values using Newton Cotes Integration technique. Biophysical parameters like leaf area index, leaf chlorophyll content, leaf length, plant height and average leaf inclination angle, biomass etc were estimated synchronizing with the bi-directional reflectance measurements. Radiative transfer model PROSAIL model was validated and its inversion was done to retrieve LAI and ALA. Look Up Table (LUT) of Bidirectional reflectance distribution function (BRDF) was prepared simulating through PROSAIL model varying only LAI (0.2 interval from 1.2 to 5.4 ) and ALA (5° interval from 40° to 55°) parameters and inversion was done using a merit function and numerical optimization technique given by Press et al. (1986). The derived LAI and ALA values from inversion were well matched with observed one with RMSE 0.521 and 5.57, respectively. |
Description: | Not Available |
ISSN: | 0255-660X |
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.: | 40 |
Page Number: | 19–28 |
Name of the Division/Regional Station: | Division of Agricultural Physics |
Source, DOI or any other URL: | https://doi.org/10.1007/s12524-011-0129-8 https://link.springer.com/article/10.1007/s12524-011-0129-8 |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/34665 |
Appears in Collections: | CS-IARI-Publication |
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