Using Normalized Difference Vegetation Index (NDVI) to Assess Carbon Storage of Plantation Forests in Zinc-Mined Mae Tao Watershed, Mae Sod District, Tak Province

Authors

  • Suppagarn Thiteja Chiangmai University
  • Soontorn Khamyong
  • Amarin Boontun
  • Arisara Charoenpanyanet
  • Panlop Huttagosol

Abstract

The research objective is to study the relationship between normalized differentiation vegetation index (NDVI) and above-ground carbon storage (ACS) in biomass of two plantation forests for compensated zinc-mined land of Phadaeng Industry Co., Ltd. in Mae Tao watershed, Mae Sod district, Tak province. The plantation forests included 19- and 20-year old stands (1999, PF1; 2000, PF2) which had areas of 328 and 505 rai, respectively. The original forest was degraded mixed deciduous suffered from shifting cultivation. Teak (Tectona grandis) was planted as the main species and some other species. Five plots each (10 plots), 40x40 m2 in size were used for plant survey in the forests. Plant data were collected by measuring stem girth at 1.3 m above-ground and tree height of all tree species with the height over 1.5 m. Carbon storage in above- and below-ground biomass (CS) was measured using allometric equations. The results show that PF1 and PF2 had the CS values of 6,477 (40.48 Mg/ha) and 9,202 kg/rai (57.51 Mg/ha), respectively. The relationship between the above-ground carbon storage (ACS) and NDVI values based on Lansat-8 satellite imagery was investigated in different season during a year, and found that the data in December were the most corelated values to the ACS as PF1: ACS = 79,029(NDVI)-16,215; R2=0.96 and PF2: ACS = 28,687(NDVI)-517; R2=0.90. Thus, the total amounts of ACS in PF1 and PF2 areas were estimated to 1,800 and 3,800 Mg, respectively. The selection of satellite image for evaluating ACS in the plantations consisted of mainly deciduous trees should select the time of some falling leaves in order to receive the NDVI values as the representatives of leaves, branches, stems, and ground-covered species.Keywords :   NDVI, carbon storage, plantation forest, zinc mine, remote sensing

Author Biography

Suppagarn Thiteja, Chiangmai University

  

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Published

2020-01-08