สืบค้นงานวิจัย
Estimation of Above Ground Woody Biomass in Natural Rubber Plantation Using Remote Sensing and GIS Technique
Debabrata Ray - ไม่ระบุหน่วยงาน
ชื่อเรื่อง (EN): Estimation of Above Ground Woody Biomass in Natural Rubber Plantation Using Remote Sensing and GIS Technique
ผู้แต่ง / หัวหน้าโครงการ (EN): Debabrata Ray
บทคัดย่อ (EN): Forests and plantations contain around 85% of terrestrial carbon pool and thereby they play an important role in global carbon cycle. Therefore, the estimation of the above ground biomass (AGB) accumulated in trees either inside forests or plantations becomes important. In recent years, Natural Rubber (NR) plantations have become an important component in the ecosystem of northeast India. The greatest uncertainty in the role of forest and plantation in carbon sequestration potential is attributed to accurate estimation of AGB. There is constant research effort being made all over the world to refine the methodologies for AGB in various ecosystems. In the same direction, estimation of AGB in NR plantations is also relevant to understand its role in ecosystem level carbon cycling. There are many empirical methods to estimate AGB such as field inventory and remote estimation to arrive at equation based AGB estimation. With the advancement of remote sensing and GIS technique, it becomes easy to estimate the AGB indirectly at a larger scale and resolution. In the present study, an attempt was made in NR plantation of the Taranagar Research farm of Rubber Research Institute of India at Agartala using IRS P6-LISS IV satellite imageries. The Taranagar farm area was identified visually through bright red tune of NR patch and its associated land use patterns in the LISS IV satellite images of 10th April 2010. The study area was sub-set from the image tile by ERDAS-imagine 2011 software. The reflectance values were converted to Digital number (DN) values using a prescribed formula. The field data on primary attributes towards the AGB in tree species, the girth at breast height (gbh), was recorded in five different sample plots representing different age groups of trees in the entire study area. Each sample plot was of 100 square meter comprising of around 40 trees. The AGB was estimated using a equation previously generated in NR [Shoot weight in Kgs (w) = 0.0202 G2.249, G is the girth in cm at 150 cm height].The AGB per pixel (23.5m x 23.5m for LISS IV sensor) for each sample site was calculated and then correlated with corresponding DN values of NIR band of the multispectral image of the LISS IV image of the study area and linear fixed-effect model (Y=381.42x-5469.9) was developed taking the DN values as the independent variable (x) and field-AGB values (Y) as the dependant variable. The R2 value for the model was 0.73. A plantation biomass map was generated using this model with the help of Modeler module of ERDAS-Imagine 2011 software. The pixel DN value of the biomass map is indicative of AGB per pixel of the Taranagar farm. The plantation biomass map of Taranagar farm reveals that each pixel will have around 760 kgs of biomass and it can be extrapolated to 225 tons/ha. Such studies using remote sensing and GIS application will always pose the greatest limitation of ground validation of the modeled results. However, this present study could overcome this limitation due to availability of field data recorded during the felling of mature trees for replanting. At the time of felling trees, it was recorded that147 cubic meters (cum) of merchantable wood was obtained from 647 trees, which weighs around 220.5 tons (1 cum fresh rubber wood weighs 1.5 tons under normal conditions). Considering the density of planting as 450 trees/ha, the total AGB is estimated to be 143.4 ton/ha. The estimate of AGB of that particular plot through remote sensing technique was found to be 245.9 tons which includes the weight of leaves and non-merchantable wood. As per the already published data, 60% of total biomass goes to trunk wood in case of NR trees under Indian climatic conditions. Therefore, merchantable wood weight estimated through remote sensing would be 147.5 ton/ha (60% of 245.9 tons), which tallies well with actual field data (143.4 tons/ha). This study conducted to estimate the AGB in NR plantation is preliminary and is subject to further refinement. However, accuracy assessment of AGB estimation using this allometric equation was made with the limited ground data available and the accuracy (RMSE, Root Mean Square Error) was 2.36 which is well within limit of observed values in similar studies.
บทคัดย่อ: ไม่พบข้อมูลจากหน่วยงานต้นทาง
ภาษา (EN): en
เผยแพร่โดย (EN): การยางแห่งประเทศไทย
คำสำคัญ (EN): GIS
เจ้าของลิขสิทธิ์ (EN): การยางแห่งประเทศไทย
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Debabrata Ray. "Estimation of Above Ground Woody Biomass in Natural Rubber Plantation Using Remote Sensing and GIS Technique". ไม่ระบุหน่วยงาน. ม.ป.ป.

Debabrata Ray. "Estimation of Above Ground Woody Biomass in Natural Rubber Plantation Using Remote Sensing and GIS Technique". ไม่ระบุหน่วยงาน. ม.ป.ป.. Print.



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Estimation of Above Ground Woody Biomass in Natural Rubber Plantation Using Remote Sensing and GIS Technique
Debabrata Ray
การยางแห่งประเทศไทย
ไม่ระบุวันที่เผยแพร่
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