Matches in SemOpenAlex for { <https://semopenalex.org/work/W4210380056> ?p ?o ?g. }
- W4210380056 endingPage "669" @default.
- W4210380056 startingPage "669" @default.
- W4210380056 abstract "SAR data have a longer wavelength and stronger penetrating power compared with traditional optical remote sensing. Therefore, SAR data are more suitable for the estimation of the above-ground biomass (AGB) of forests. This study was aimed at evaluating the sensitivity of L-band full polarization data to AGB. L-band data were improved to estimate the saturation point produced by AGB, and were found to be suitable for estimating a wide range of AGB. This study extracted backscattering coefficients, polarization decomposition variables, and terrain factors. New parameters were constructed from these variables, and their performance in predicting AGB was evaluated. Significant variables found with AGB were added to the multivariate linear model. A statistical analysis showed the presence of multicollinearity between the variables. Therefore, ridge regression, random forest method (RF), and principal component analysis (PCA) were introduced to solve the problem of collinearity. In all the three methods, the saturation of the ridge regression model was low, reaching it at 150 t/ha. Better accuracy was obtained with the RF model. No obvious saturation incident was detected in the model established using the principal component analysis. This could be attributed to the low biomass levels observed in our study area. This model provided accurate results (adjusted r2 = 0.90 rmse = 14.24 t/ha), indicating that L-band data have the potential to estimate AGB. Additionally, suitable variables and models were selected in this study, with the principal component analysis being more helpful in combining various SAR parameters. The achievement of these accurate results could be attributed to the synergy among variables." @default.
- W4210380056 created "2022-02-08" @default.
- W4210380056 creator A5038836690 @default.
- W4210380056 creator A5041184605 @default.
- W4210380056 creator A5043867428 @default.
- W4210380056 creator A5072409799 @default.
- W4210380056 creator A5074883946 @default.
- W4210380056 creator A5087306225 @default.
- W4210380056 date "2022-01-30" @default.
- W4210380056 modified "2023-10-01" @default.
- W4210380056 title "The Potential of Fully Polarized ALOS-2 Data for Estimating Forest Above-Ground Biomass" @default.
- W4210380056 cites W1507255258 @default.
- W4210380056 cites W1756876638 @default.
- W4210380056 cites W1971612442 @default.
- W4210380056 cites W1978642993 @default.
- W4210380056 cites W1996020380 @default.
- W4210380056 cites W2000872026 @default.
- W4210380056 cites W2008826820 @default.
- W4210380056 cites W2010688372 @default.
- W4210380056 cites W2014912124 @default.
- W4210380056 cites W2015079873 @default.
- W4210380056 cites W2018627383 @default.
- W4210380056 cites W2020520344 @default.
- W4210380056 cites W2023854732 @default.
- W4210380056 cites W2034307081 @default.
- W4210380056 cites W2044781968 @default.
- W4210380056 cites W2047933096 @default.
- W4210380056 cites W2048346860 @default.
- W4210380056 cites W2055717705 @default.
- W4210380056 cites W2075505566 @default.
- W4210380056 cites W2085288093 @default.
- W4210380056 cites W2089468765 @default.
- W4210380056 cites W2089940122 @default.
- W4210380056 cites W2097272115 @default.
- W4210380056 cites W2103337673 @default.
- W4210380056 cites W2104252070 @default.
- W4210380056 cites W2105003905 @default.
- W4210380056 cites W2105781415 @default.
- W4210380056 cites W2113530939 @default.
- W4210380056 cites W2121323878 @default.
- W4210380056 cites W2127667892 @default.
- W4210380056 cites W2130762895 @default.
- W4210380056 cites W2131035246 @default.
- W4210380056 cites W2133989913 @default.
- W4210380056 cites W2134262590 @default.
- W4210380056 cites W2134870022 @default.
- W4210380056 cites W2139597788 @default.
- W4210380056 cites W2141424348 @default.
- W4210380056 cites W2141607694 @default.
- W4210380056 cites W2144499995 @default.
- W4210380056 cites W2146097313 @default.
- W4210380056 cites W2150059023 @default.
- W4210380056 cites W2152429819 @default.
- W4210380056 cites W2154830216 @default.
- W4210380056 cites W2156759776 @default.
- W4210380056 cites W2159334193 @default.
- W4210380056 cites W2162554994 @default.
- W4210380056 cites W2166516820 @default.
- W4210380056 cites W2197343401 @default.
- W4210380056 cites W2257276816 @default.
- W4210380056 cites W2295307655 @default.
- W4210380056 cites W2305504632 @default.
- W4210380056 cites W2325764065 @default.
- W4210380056 cites W2411237118 @default.
- W4210380056 cites W2469104120 @default.
- W4210380056 cites W2614994318 @default.
- W4210380056 cites W2619195896 @default.
- W4210380056 cites W2790261039 @default.
- W4210380056 cites W2796881305 @default.
- W4210380056 cites W2888865815 @default.
- W4210380056 cites W2890183925 @default.
- W4210380056 cites W2910192233 @default.
- W4210380056 cites W2962036864 @default.
- W4210380056 cites W2994073401 @default.
- W4210380056 cites W3003640836 @default.
- W4210380056 cites W3036543524 @default.
- W4210380056 cites W3048495511 @default.
- W4210380056 cites W3120738717 @default.
- W4210380056 cites W3166178979 @default.
- W4210380056 cites W3198925615 @default.
- W4210380056 doi "https://doi.org/10.3390/rs14030669" @default.
- W4210380056 hasPublicationYear "2022" @default.
- W4210380056 type Work @default.
- W4210380056 citedByCount "3" @default.
- W4210380056 countsByYear W42103800562023 @default.
- W4210380056 crossrefType "journal-article" @default.
- W4210380056 hasAuthorship W4210380056A5038836690 @default.
- W4210380056 hasAuthorship W4210380056A5041184605 @default.
- W4210380056 hasAuthorship W4210380056A5043867428 @default.
- W4210380056 hasAuthorship W4210380056A5072409799 @default.
- W4210380056 hasAuthorship W4210380056A5074883946 @default.
- W4210380056 hasAuthorship W4210380056A5087306225 @default.
- W4210380056 hasBestOaLocation W42103800561 @default.
- W4210380056 hasConcept C105795698 @default.
- W4210380056 hasConcept C106192678 @default.
- W4210380056 hasConcept C119857082 @default.
- W4210380056 hasConcept C127313418 @default.
- W4210380056 hasConcept C152877465 @default.