气候变化领域集成服务门户(CCPortal): Modeling Forest Above-Ground Biomass of Teak (Tectona grandis L. F.) Using Field Measurement and Sentinel-2 Imagery

CCPortal

DOI	10.1155/2024/9910094
	Modeling Forest Above-Ground Biomass of Teak (Tectona grandis L. F.) Using Field Measurement and Sentinel-2 Imagery
	Ghimire, Santosh; Joshi, Rajeev; Gautam, Jeetendra; Bhatta, Binod
发表日期	2024
ISSN	1687-725X
EISSN	1687-7268
起始页码	2024
卷号	2024
英文摘要	Over the last few decades, remote sensing has emerged as a dependable and cost-effective method for collecting precise data on forest biophysical parameters, aiding in sustainable forest management and global initiatives to combat climate change. This research aimed to develop a model for estimating the above-ground biomass (AGB) of Teak (Tectona grandis L. F.) by combining field measurements with Sentinel-2 earth observation data. The study took place in 36-year-old teak plantation areas within the Sagarnath Forest Development Project in Nepal's Sarlahi district. Field measurements were conducted using a destructive systematic sampling method, employing 10 x 10 m(2) sample plots, and the volume of logs was determined using Newton's formula. A total of 30 sample plots were used for calibration, while 10 were utilized for validation purposes. The findings revealed that the average AGB per plot was 814 kg (equivalent to 81.4 t ha(-1)), with a minimum value of 716 kg (71.6 t ha(-1)) and a maximum value of 1,060 kg (106 t ha(-1)). The study utilized five independent variables, namely, the Red band, Green band, Blue band, near-infrared (NIR), and normalized difference vegetation index (NDVI) values from Sentinel-2 imagery data, to develop estimation models. Among the 12 models examined, model M10 proved to be the best fit for accurate AGB estimation (adjusted R-2 = 0.9809, RMSE = 0.01269, AIC = -170, and p-value = < 8.39e-21). The equation of the best-fitted model was ln (AGB) = A + B x Red + C x Green + D x Blue(2) + E x ln (NIR) + F x ln (NDVI), providing an accurate estimate of AGB. Model validation involved a t-test comparing the observed and calculated AGB values for ten sample plots, demonstrating no significant difference (p-value = 0.3662 > 0.05). This model has the potential to facilitate AGB biomass calculations and carbon stock estimates for teak plantations of similar age groups.
语种	英语
WOS研究方向	Engineering ; Instruments & Instrumentation
WOS类目	Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS记录号	WOS:001227400500001
来源期刊	JOURNAL OF SENSORS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/304056
推荐引用方式 GB/T 7714	Ghimire, Santosh,Joshi, Rajeev,Gautam, Jeetendra,et al. Modeling Forest Above-Ground Biomass of Teak (Tectona grandis L. F.) Using Field Measurement and Sentinel-2 Imagery[J],2024,2024.
APA	Ghimire, Santosh,Joshi, Rajeev,Gautam, Jeetendra,&Bhatta, Binod.(2024).Modeling Forest Above-Ground Biomass of Teak (Tectona grandis L. F.) Using Field Measurement and Sentinel-2 Imagery.JOURNAL OF SENSORS,2024.
MLA	Ghimire, Santosh,et al."Modeling Forest Above-Ground Biomass of Teak (Tectona grandis L. F.) Using Field Measurement and Sentinel-2 Imagery".JOURNAL OF SENSORS 2024(2024).