Retrieving LAI of Different Forest Species from Landsat TM/ETM+ Imaginary


Retrieving LAI of Different Forest Species from Landsat TM/ETM+ Imaginary
Nepal C. Dey, Seiji Hayakawa, Yasuomi Ibaraki and M. Aminul Islam

Vol - 00, Issue - 00, May - 2010
IEB

 

 

 

Information on vegetation is important for the planning of regional natural resources management carbon cycling studies, terrestrial primary productivity modeling of hydrology, energy and climate. In situ estimation of Leaf Area Index (LAI) is often time consuming, expensive, unfeasible for remote locations and sometimes destructive, however, remote sensing can meet the data needs in it timely and consistent manner. The values of I-Al were different from year to year because the seasonal timings of image acquisition were different with the variations in phonological development of the plants. The study found that not only the three successive stales in different forest types, bill they were also statistically different based on their physiologic characteristics. Separating the LAI estimation by each successive stage there was a significant gradient in LAI through the stage and a significant difference between the stages. The lowest LAI appeared in the winter season when the trees and plants had little or no leaves. New leaves appeared in the plants during spring season and LAI started to increased

Related information

  • Writer Name: Nepal C. Dey, Seiji Hayakawa, Yasuomi Ibaraki and M. Aminul Islam
  • Published Date: Thursday, 06 May 2010
  • Country: Bangladesh