FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2099320852> ?p ?o ?g. }

• W2099320852 abstract "It is quite necessary to explore some more efficient and reliable estimation models which could integrate or, in some cases, substitute the traditional and expensive measuring techniques in forest resources management owing to the rising investigation costs. Thanks to their flexibility and adaptability, artificial neural networks (ANN) constitute a valid approach for modelling complex long-lived dynamic forest ecosystems. The evaluation indexes set was established, including 17 factors: elevation, slope, aspect, surface curvature, solar radiation index, topographic humidity index, tree ages, the soil depth, the A-layer depth of soil, canopy density, Normalized Difference Vegetation Index (NDVI), and the spectral characteristics of the bands from Enhaced Thematic Mapper (ETM+) or Thematic Mapper (TM), Band 1 to Band 5, and Band 7 from Landsat. Then, integrating the remote sensing images of ETM+ or TM, Digital Elevation Model (DEM), and forest resource planning investigation data of fir of the key forestry city of Longquan, Zhejiang Province, China, the membership of each factor was empirically fitted by polynomials, and the forest volumes were estimated via an improved back propagation (BP) neural network (NN) model with Levenberg-Marquardt (LM) optimization algorithm (LM-BP). The results showed that the average individual relative errors ( IARE ) were from 26.38% to 34.41%; the group relative errors ( GRE ) were from 2.04% to 6.69%, and all of the group estimation precisions were more than 90% which is the highest standard of overall sampling accuracy about volume of forest resource inventory in China." @default.
• W2099320852 created "2016-06-24" @default.
• W2099320852 creator A5033636430 @default.
• W2099320852 creator A5073409373 @default.
• W2099320852 date "2015-02-15" @default.
• W2099320852 modified "2023-09-30" @default.
• W2099320852 title "Dynamic Estimation of Forest Volume Based on Multi-Source Data and Neural Network Model" @default.
• W2099320852 cites W1963988599 @default.
• W2099320852 cites W1978690728 @default.
• W2099320852 cites W2000532370 @default.
• W2099320852 cites W2035223309 @default.
• W2099320852 cites W2060670595 @default.
• W2099320852 cites W2064525445 @default.
• W2099320852 cites W2064558710 @default.
• W2099320852 cites W2230232320 @default.
• W2099320852 cites W2353891840 @default.
• W2099320852 cites W2355713359 @default.
• W2099320852 cites W2355877983 @default.
• W2099320852 cites W2357853744 @default.
• W2099320852 cites W2358241518 @default.
• W2099320852 cites W2358511411 @default.
• W2099320852 cites W2359821527 @default.
• W2099320852 cites W2360654316 @default.
• W2099320852 cites W2361618161 @default.
• W2099320852 cites W2369530732 @default.
• W2099320852 cites W2375726835 @default.
• W2099320852 cites W2376619454 @default.
• W2099320852 cites W2377607378 @default.
• W2099320852 cites W2378680621 @default.
• W2099320852 cites W2379505898 @default.
• W2099320852 cites W2391483572 @default.
• W2099320852 cites W2394065510 @default.
• W2099320852 cites W2474791671 @default.
• W2099320852 cites W2595270967 @default.
• W2099320852 cites W3165645005 @default.
• W2099320852 doi "https://doi.org/10.5539/jas.v7n3p18" @default.
• W2099320852 hasPublicationYear "2015" @default.
• W2099320852 type Work @default.
• W2099320852 sameAs 2099320852 @default.
• W2099320852 citedByCount "4" @default.
• W2099320852 countsByYear W20993208522018 @default.
• W2099320852 countsByYear W20993208522019 @default.
• W2099320852 countsByYear W20993208522022 @default.
• W2099320852 crossrefType "journal-article" @default.
• W2099320852 hasAuthorship W2099320852A5033636430 @default.
• W2099320852 hasAuthorship W2099320852A5073409373 @default.
• W2099320852 hasBestOaLocation W20993208521 @default.
• W2099320852 hasConcept C101000010 @default.
• W2099320852 hasConcept C147103442 @default.
• W2099320852 hasConcept C1549246 @default.
• W2099320852 hasConcept C154945302 @default.
• W2099320852 hasConcept C166957645 @default.
• W2099320852 hasConcept C181843262 @default.
• W2099320852 hasConcept C18903297 @default.
• W2099320852 hasConcept C205649164 @default.
• W2099320852 hasConcept C2524010 @default.
• W2099320852 hasConcept C25989453 @default.
• W2099320852 hasConcept C2775938548 @default.
• W2099320852 hasConcept C2778102629 @default.
• W2099320852 hasConcept C28631016 @default.
• W2099320852 hasConcept C33923547 @default.
• W2099320852 hasConcept C37054046 @default.
• W2099320852 hasConcept C39432304 @default.
• W2099320852 hasConcept C39807119 @default.
• W2099320852 hasConcept C41008148 @default.
• W2099320852 hasConcept C50644808 @default.
• W2099320852 hasConcept C54286561 @default.
• W2099320852 hasConcept C58640448 @default.
• W2099320852 hasConcept C62649853 @default.
• W2099320852 hasConcept C86803240 @default.
• W2099320852 hasConcept C93692415 @default.
• W2099320852 hasConceptScore W2099320852C101000010 @default.
• W2099320852 hasConceptScore W2099320852C147103442 @default.
• W2099320852 hasConceptScore W2099320852C1549246 @default.
• W2099320852 hasConceptScore W2099320852C154945302 @default.
• W2099320852 hasConceptScore W2099320852C166957645 @default.
• W2099320852 hasConceptScore W2099320852C181843262 @default.
• W2099320852 hasConceptScore W2099320852C18903297 @default.
• W2099320852 hasConceptScore W2099320852C205649164 @default.
• W2099320852 hasConceptScore W2099320852C2524010 @default.
• W2099320852 hasConceptScore W2099320852C25989453 @default.
• W2099320852 hasConceptScore W2099320852C2775938548 @default.
• W2099320852 hasConceptScore W2099320852C2778102629 @default.
• W2099320852 hasConceptScore W2099320852C28631016 @default.
• W2099320852 hasConceptScore W2099320852C33923547 @default.
• W2099320852 hasConceptScore W2099320852C37054046 @default.
• W2099320852 hasConceptScore W2099320852C39432304 @default.
• W2099320852 hasConceptScore W2099320852C39807119 @default.
• W2099320852 hasConceptScore W2099320852C41008148 @default.
• W2099320852 hasConceptScore W2099320852C50644808 @default.
• W2099320852 hasConceptScore W2099320852C54286561 @default.
• W2099320852 hasConceptScore W2099320852C58640448 @default.
• W2099320852 hasConceptScore W2099320852C62649853 @default.
• W2099320852 hasConceptScore W2099320852C86803240 @default.
• W2099320852 hasConceptScore W2099320852C93692415 @default.
• W2099320852 hasIssue "3" @default.
• W2099320852 hasLocation W20993208521 @default.
• W2099320852 hasOpenAccess W2099320852 @default.
• W2099320852 hasPrimaryLocation W20993208521 @default.
• W2099320852 hasRelatedWork W1986110598 @default.

• next