Monitoring of biophysical parameters of cashew plants in Cambodia using ALOS/PALSAR data

Environ Monit Assess. 2013 Feb;185(2):2023-37. doi: 10.1007/s10661-012-2685-y. Epub 2012 May 25.

Abstract

An accurate estimation of a plant's age is required for the prediction of yield and management practices. This study demonstrates the relationship between backscattering properties (σ°) of Phased Array type L-band Synthetic Aperture Radar (PALSAR) dual polarimetric data with cashew plants' biophysical parameters (height, age, crown diameter, diameter at breast height, basal area, tree density, and biomass) in Cambodia. PALSAR σ° has shown a positive correlation with the biophysical parameters of cashew plants. The value of σ° increases with the age of cashew plants. At a young stage, the cashew plants show a higher rate of an increase in σ° compared to that at the mature stage. The σ° horizontal polarization transmitted and vertical received (HV) shows higher sensitivity to the plant's growth than σ° horizontal polarization transmitted and received (HH). High backscattering and low variations were observed at mature stage (8-12 years) of cashew plantation. Saturation in backscattering has shown from the age of about 13 years. The validation results indicate strong coefficient of determination (R(2) = 0.86 and 0.88) for PALSAR-predicted age and biomass of cashew plants with root mean square error = 1.8 years and 16.3 t/ha for age and biomass, respectively. The correlations of σ° (HH) with biophysical parameters observed in the dry season were better than those of the rainy season because soil moisture interferes with backscattering in the rainy season. Biomass accumulation rate of cashew plants has been predicted that would be useful for selection of plants species to enhance carbon sequestration. This study provides an insight to use PALSAR for the monitoring of growth stages of plants at the regional level.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Anacardium / physiology*
  • Cambodia
  • Environmental Monitoring / methods*
  • Radar
  • Remote Sensing Technology*