Abstract
In the previous years and decades, large quantity of
carbon has contributed to globcal climate change and ecosystem
disturbance because of anthropogenic activities. To study the
carbon cycle, forest biomass is an important element as a carbon
sink, and it is also a chief factor in forest health and climate
change. Satellite remote sensing is a useful approach for the
monitoring of forest resources and biomass estimation. This study
investigates the accuracies of spatially estimated and mapped
Above Ground Biomass (AGB) of three main species i.e.
“Dalbergia sissoo”, “Eucalyptus camaldulensis” and “Bombax
ceiba” in Chichawatni Forest, Punjab, Pakistan. In this work,
AGB modelling and mapping was performed through six different
spectral indices, NDVI “Normalized Difference Vegetation
Index”, TNDVI “Transformed Normalized Difference Vegetation
Index”, SAVI “Soil Adjusted Vegetation Index”, SARVI “Soil and
Atmospherically Resistant Vegetation Index”, Square root of
(Infrared/Red) “SQRT(IR/R”, MSR “Modified Simple Ratio”)
calculated from Pleiades satellite data with a spatial resolution of
2 m. Simple linear and multiple-linear regression models were
developed across the field based AGB and spectral indices derived
from satellite imagery.Firstly for “Dalbergia sissoo”, and “Bombax
ceiba”, reasonable accuracy (R2 values of 0.65 and 0.88,
respectively) for AGB biomass estimation was achieved by
combining different indices from Pleaids optical sensor. Using the
single indices, only moderate performance (R2 = 0.52 for
“Dalbergia sissoo” and 0.87 for “Bombax ceiba”) was observed
from the spectral reflectance of the Pleiades satellite data.
Secondly for Eucalyptus reasonable accuracy (R2 = 0.73) was
achieved either using single or combining different spectral
indices. These developed models for three tree species future can
be utilized for reliable estimation and assessment of the changes in
biomass. The study will be helpful for “Sustainable Forest
Management” and preserve biomass/carbon in the performance
based payment mechanism in forest ecosystem.
Aqeela Mobeen Akhtar, Sajid Rashid Ahmad, Hammad Gilani, Ansir Rasool. (2019) Above Ground Biomass Estimation and Mapping using Satellite Remote Sensing and in Situ Measurements in Chichawatni Plantation Site in Pakistan, Journal of Space Technology , Volume 9, Issue 1.
-
Views
655 -
Downloads
56
