สืบค้นงานวิจัย
Retrieving of Leaf Area Index for Rubber Plantation by Using HJ-1A/1B CCD Data
Bangqian Chen - ไม่ระบุหน่วยงาน
ชื่อเรื่อง (EN): Retrieving of Leaf Area Index for Rubber Plantation by Using HJ-1A/1B CCD Data
ผู้แต่ง / หัวหน้าโครงการ (EN): Bangqian Chen
บทคัดย่อ (EN): Leaf area index (LAI) is a key variable characterizing many biological and physical processes such as photosynthesis and carbon cycle, and it could, more importantly, serve as a practical indicator for rubber trees (Hevea brasilliensis) in yield prediction and post-disaster evaluation after severe typhoon disturbances. Although numerous studies have been performed to derive forest and crop LAI over the past few decades, few have dealt with rubber tree, especially by using remote sensing technology. In this study, both the temporal variation of LAI in rubber plantation and potential use of 30 m resolution satellite data from China HJ-1A/1B of the Environment and Disasters Monitoring Microsatellite Constellation Charge-Coupled Device (CCD) cameras for LAI estimation were investigated In situ measurement of LAI in 25 rubber plantations including clones of CATAS7-33-97, PR107, RRIM600, and CATAS7-20-59 at the experimental farm of Chinese Academy of Tropical Agricultural Sciences (CATAS) was made by using the Plant Canopy Analyzer (LAI-2000, LI-COR) optical instrument. The stand age of sampled plantations was 15 years by average, and ranging from 7 to 29 years. The experiment started in March 2012, and was repeated once a month. Five serial HJ-1A/1B CCD images, which were acquired on 23/03/2012, 24/04/2012, 01/25/2012, 03/05/2012, and 11/07/2012, respectively, and close to the date of field LAI measurement, were used to explore their relationship to the field LAI through bivariate correlation method. Spectral bands and three vegetation indices including Normalized Difference Vegetation Index (NDVI), Simple Ratio (SR) and Soil Adjusted Vegetation Index (SAVI), derived from raw digital numbers (DN), radiance and atmospherically corrected were examined. The field data shows LAI booms in March (2.20±0.63) and April (2.98±0.73) after synchronized defoliation in late February, and keeps increasing with the rainy season. By the end of August, the LAI is 4.05±0.95 by average with a maximum of 6.17. The temporal variation of field LAI is quite consistent with phonological behavior of rubber tree in leaf development in Hainan Island. About 70% of total leaves are produced during the first flush period (March to April), and the rest 30% come from the subsequent two flushes during the next five months. The LAI also varies with stand age: the young plantations (≤10 years) have the highest LAI, followed by the old plantations (≥20 years) and the mid-aged plantations which have the lowest value. The field LAI is negatively correlated with visible bands, and highly significantly correlated with near-infrared (NIR) band, NDVI, SR, and SAVI. In late spring, the NIR spectral band has the highest Pearson’s correlation coefficients (r=0.81) with the field LAI. However, SAVI is more promising (r=0.60-071) than NIR, NDVI, and SR in summer. Both radiometric calibration and FLAASH atmospheric correction could improve the correlation strength between the field LAI and the vegetation indices and the spectral bands than using raw DN value, and atmospheric correction preferred. The correction relationship derived from HJ-1A/1B data was quite consistent with the results extracted from two contemporary multispectral images, Landsat ETM+ and China Satellite Surveying and Mapping Application Center (SBSM) ZY-3 images, which were acquired on the same days with HJ-1A/1B CCD images and analyzed by using the same methods. It is also found that the degree of understory canopy was an important factor that limits the accuracy in estimating LAI of rubber plantation by remote sensing. The plantations with thick understory vegetation cover were very weakly correlated with both spectral bands and vegetation indices, while their counterparts obviously possessed the highest correlation coefficients of 0.89 and 0.87 respectively for late spring and early summer. However, with the gradual increase of LAI, the effect of understory vegetation cover tends to be weakened. Finally, two statistically significant regression models were derived based on NIR (R2=0.61, RMSE=0.47), respectively for late spring and early summer. The HJ-1A/1B data show great potential use in estimating rubber canopy parameters in the tropical area due to their good fitness in the regression models and the strong image acquisition capabilities that benefit from 2-days revisit period.
บทคัดย่อ: ไม่พบข้อมูลจากหน่วยงานต้นทาง
ภาษา (EN): en
เผยแพร่โดย (EN): การยางแห่งประเทศไทย
คำสำคัญ (EN): HJ-1A/1B CCD
เจ้าของลิขสิทธิ์ (EN): การยางแห่งประเทศไทย
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Retrieving of Leaf Area Index for Rubber Plantation by Using HJ-1A/1B CCD Data
Bangqian Chen
การยางแห่งประเทศไทย
ไม่ระบุวันที่เผยแพร่
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