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[1]LIU Yuqing,YAN Feng,CHEN Junhan.Applicating Landsat 8 OIL to Estimate Biomass in Pisha Sandstone Area[J].Research of Soil and Water Conservation,2021,28(02):135-140+148.

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Applicating Landsat 8 OIL to Estimate Biomass in Pisha Sandstone Area

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 28 Number of periods: 2021 02 Page number: 135-140+148 Column: Public date: 2021-02-06

Title:: Applicating Landsat 8 OIL to Estimate Biomass in Pisha Sandstone Area

Author(s):: LIU Yuqing, YAN Feng, CHEN Junhan; (Institute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China)

Keywords:: biomass; remote sensing estimation; Pisha sandstone area

CLC:: K903; P534.63; TP79

DOI:: -

Abstract:: In order to evaluate the vegetation growth status and the spatial distribution characteristics of above ground biomass(AGB)in the Pisha sandstone area, Landsat 8 OLI image and in situ AGB data in the same period were used to study the AGB estimation method in the Pisha sandstone area of the Ordos Plateau. The results show that:(1)NDVI, RVI, SAVI and MSAVI had significant correlations with AGB; the correlation coefficient between MSAVI and AGB was the highest(R²=0.4416), correlation coefficient between SAVI and AGB was also higher(R²=0.3923), while the correlations between NDVI, RVI and AGB were relatively low, and the coefficients of determination were 0.137 5 and 0.130 6, respectively; among the four commonly used vegetation indexes, NDVI and RVI were not the best ones for biomass estimation in desert ecosystems;(2)the correlation between AGB and MSAVI filtered by Gaussian low pass filtering with kernel size 3×3 was higher than the image without filtering; the average relative error of AGB-MSAVI_GLPF3 estimation model established with filtering process was 13.41%, and the model had a higher estimation accuracy;(3)the total AGB of the study area in Pisha sandstone was 9.2×10⁵ t in 2019, including 13.03% of low value AGB area, 47.56% of middle value AGB area and 39.41% of high value AGB area. The correlation between AGB and MSAVI was significant in desert ecosystem and the AGB-MSAVI_GLPF3 model established based on Gaussian Low Pass Filter could estimate AGB accurately in the Pisha sandstone area.

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Last Update: 2021-02-10