retrieval of biophysical parameters for rice using
TRANSCRIPT
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Retrieval of Biophysical Parameters for Rice using Polarimetric SAR Data
Dipankar Mandal, Vineet Kumar, Y. S. Rao, Avik BhattacharyaMicrowave Remote Sensing Lab, Indian Institute of technology Bombay, Mumbai, India
13-08-2019
Indian InstituteOf Technology Bombay
JECAM SAR Inter-comparison Experiment-India/Vijayawada
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Crop biophysical parameters
o Crop phenology—Growth stages
o Leaf area index (LAI) and/or Plant Area Index (PAI)
o Crop geometry
Plant height
Plant density (row and plant spacing)
Orientation of plant elements (leaf/stem)
Row direction
o Vegetation biomass
Wet biomass/fresh weight
Dry biomass
Vegetation water content
Importance
• Proxy for crop growth monitoring
• Production forecasting
• Agronomic managements
• Fertilizer
• Pesticides
• Risk assessment
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Vegetation Modeling: Water Cloud Model (WCM)
• First proposed by Attema and Ulaby (1978).
• Assumptions:o The vegetation canopy is modeled as a water cloud
o The N number of particles to be identical and uniformly distributed
o A single scattering from the particle is considered
.
Vegetation Soil contribution attenuatedby vegetation
Two way attenuation factor
Mv = soil moistureL = LAI or PAI𝜃𝑖 = incidence angle
Attema, E., Ulaby, F. T., 1978. Vegetation modeled as a water cloud. Radio Sci. 13 (2), 357–364.
• Non-linear least-squares regression Calibration (Find A, B..D)
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EO-data
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Schematic workflow
Data storage
RADARSAT-2
SLC data
Snappy
config.
SAR data
preprocessing
Backscatter
intensities
WCM Module
In-situ measurements
PAI estimation
PAI Mapping
Crop Parameters
Crop type
PAI
Phenology
Calibration
Validation
Data split
HH-HV-VV
PAI Validation
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PAI mapping
29-07-2018 22-08-2018
09-10-2018 2-11-201815-09-2018
0
7.0
PAI, m2 m-2
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Thank youDipankar Mandal
Indian Institute of Technology Bombay
https://sites.google.com/site/dipankaragrotech05