Matches in SemOpenAlex for { <https://semopenalex.org/work/W4381336680> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W4381336680 endingPage "1270" @default.
- W4381336680 startingPage "1270" @default.
- W4381336680 abstract "Continuous and extensive monitoring of forest height is essential for estimating forest above-ground biomass and predicting the ability of forests to absorb CO2. In particular, forest height at the national scale is an important indicator reflecting the national forestry economic construction, environmental governance, and ecological balance. However, the lack of inventory data restricts large-scale monitoring of forest height to some extent. Conducting manual surveys of forest height for large-scale areas would be labor-intensive and time-consuming. The successful launch of the new generation of spaceborne light detection and ranging (LiDAR) (The Ice, Cloud, and Land Elevation Satellite-2/the Advanced Topographic Laser Altimeter System, ICESat-2/ATLAS) has brought new opportunities for national-scale forestry resource surveys. This paper explores a method to survey national forest canopy height from the new generation of ICESat-2/ATLAS data. In view of the sparse sampling and little overlap between repeated spaceborne LiDAR data, a strategy for assessing the overall change of canopy height for large scales is provided. Some spatially continuous ancillary data were used to assist ICESat-2/ATLAS data to generate a wall-to-wall (spatially continuous) forest canopy height map in China by using the machine learning approach and then quantifying the analysis of forest canopy height in various provinces. The results show that there is a good correlation between the model forest height and the verification data, with a root mean squared error (RMSE) of 3.30 m and a coefficient of determination (R2) of 0.87. This indicates that the method for retrieving national forest canopy height is reliable. There are some limitations in areas with lower vegetation coverage or complex topography which need additional filtering or terrain correction to achieve higher accuracy in measuring forest canopy height. Our analysis suggests that ICESat-2/ATLAS data can achieve the retrieval of national forest height at an overall level, and it would be feasible to use ICESAT-2/ATLAS products to estimate forest canopy height change for large-scale areas." @default.
- W4381336680 created "2023-06-21" @default.
- W4381336680 creator A5001146675 @default.
- W4381336680 creator A5017058983 @default.
- W4381336680 creator A5029527420 @default.
- W4381336680 date "2023-06-20" @default.
- W4381336680 modified "2023-10-18" @default.
- W4381336680 title "A Rapid and Easy Way for National Forest Heights Retrieval in China Using ICESat-2/ATL08 in 2019" @default.
- W4381336680 cites W1566532634 @default.
- W4381336680 cites W1981263865 @default.
- W4381336680 cites W1988050292 @default.
- W4381336680 cites W1994585903 @default.
- W4381336680 cites W2216058659 @default.
- W4381336680 cites W2565535654 @default.
- W4381336680 cites W2616303630 @default.
- W4381336680 cites W2792703975 @default.
- W4381336680 cites W2800140988 @default.
- W4381336680 cites W2901674962 @default.
- W4381336680 cites W2962763794 @default.
- W4381336680 cites W3084762438 @default.
- W4381336680 cites W3094643344 @default.
- W4381336680 cites W3178577652 @default.
- W4381336680 cites W4200035802 @default.
- W4381336680 cites W4211143819 @default.
- W4381336680 cites W4220839145 @default.
- W4381336680 doi "https://doi.org/10.3390/f14061270" @default.
- W4381336680 hasPublicationYear "2023" @default.
- W4381336680 type Work @default.
- W4381336680 citedByCount "1" @default.
- W4381336680 countsByYear W43813366802023 @default.
- W4381336680 crossrefType "journal-article" @default.
- W4381336680 hasAuthorship W4381336680A5001146675 @default.
- W4381336680 hasAuthorship W4381336680A5017058983 @default.
- W4381336680 hasAuthorship W4381336680A5029527420 @default.
- W4381336680 hasBestOaLocation W43813366801 @default.
- W4381336680 hasConcept C101000010 @default.
- W4381336680 hasConcept C127413603 @default.
- W4381336680 hasConcept C146978453 @default.
- W4381336680 hasConcept C147103442 @default.
- W4381336680 hasConcept C166957645 @default.
- W4381336680 hasConcept C17534553 @default.
- W4381336680 hasConcept C19269812 @default.
- W4381336680 hasConcept C205649164 @default.
- W4381336680 hasConcept C2524010 @default.
- W4381336680 hasConcept C2778755073 @default.
- W4381336680 hasConcept C28631016 @default.
- W4381336680 hasConcept C33923547 @default.
- W4381336680 hasConcept C37054046 @default.
- W4381336680 hasConcept C39432304 @default.
- W4381336680 hasConcept C39807119 @default.
- W4381336680 hasConcept C51399673 @default.
- W4381336680 hasConcept C54286561 @default.
- W4381336680 hasConcept C58640448 @default.
- W4381336680 hasConcept C62649853 @default.
- W4381336680 hasConceptScore W4381336680C101000010 @default.
- W4381336680 hasConceptScore W4381336680C127413603 @default.
- W4381336680 hasConceptScore W4381336680C146978453 @default.
- W4381336680 hasConceptScore W4381336680C147103442 @default.
- W4381336680 hasConceptScore W4381336680C166957645 @default.
- W4381336680 hasConceptScore W4381336680C17534553 @default.
- W4381336680 hasConceptScore W4381336680C19269812 @default.
- W4381336680 hasConceptScore W4381336680C205649164 @default.
- W4381336680 hasConceptScore W4381336680C2524010 @default.
- W4381336680 hasConceptScore W4381336680C2778755073 @default.
- W4381336680 hasConceptScore W4381336680C28631016 @default.
- W4381336680 hasConceptScore W4381336680C33923547 @default.
- W4381336680 hasConceptScore W4381336680C37054046 @default.
- W4381336680 hasConceptScore W4381336680C39432304 @default.
- W4381336680 hasConceptScore W4381336680C39807119 @default.
- W4381336680 hasConceptScore W4381336680C51399673 @default.
- W4381336680 hasConceptScore W4381336680C54286561 @default.
- W4381336680 hasConceptScore W4381336680C58640448 @default.
- W4381336680 hasConceptScore W4381336680C62649853 @default.
- W4381336680 hasFunder F4320321001 @default.
- W4381336680 hasIssue "6" @default.
- W4381336680 hasLocation W43813366801 @default.
- W4381336680 hasOpenAccess W4381336680 @default.
- W4381336680 hasPrimaryLocation W43813366801 @default.
- W4381336680 hasRelatedWork W1644084052 @default.
- W4381336680 hasRelatedWork W1975989939 @default.
- W4381336680 hasRelatedWork W1993516606 @default.
- W4381336680 hasRelatedWork W2001618165 @default.
- W4381336680 hasRelatedWork W2079863663 @default.
- W4381336680 hasRelatedWork W2083187693 @default.
- W4381336680 hasRelatedWork W2897075850 @default.
- W4381336680 hasRelatedWork W2910432407 @default.
- W4381336680 hasRelatedWork W4313131540 @default.
- W4381336680 hasRelatedWork W2508051599 @default.
- W4381336680 hasVolume "14" @default.
- W4381336680 isParatext "false" @default.
- W4381336680 isRetracted "false" @default.
- W4381336680 workType "article" @default.