Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313120906> ?p ?o ?g. }
- W4313120906 endingPage "929" @default.
- W4313120906 startingPage "921" @default.
- W4313120906 abstract "Abstract Remotely piloted aircrafts (RPAs) are becoming well-known for monitoring forest restoration (FR). Canopy cover percentage on a restoration site is a major indicator for the early phases of FR. We present a protocol to evaluate canopy cover using low-cost RPA and a friendly computational environment. We tested the protocol in six FR projects in the Brazilian Atlantic Forest. After processing the images automatically to generate the digital surface model and the digital terrain model, the canopy cover is measured in QGIS by considering height thresholds in the canopy height model. The results had F 1 values higher than 0.9, which confirms a robust methodology that does not require specific computer science or remote sensing skills. Thus, low-cost RPA proved to be accurate and user-friendly in measuring the canopy cover, which improves monitoring during most FR stages. Such finding plays an important role in FR policies and future works must study a user-friendly protocol for measuring tree height via low-cost drones." @default.
- W4313120906 created "2023-01-06" @default.
- W4313120906 creator A5028929804 @default.
- W4313120906 creator A5033272839 @default.
- W4313120906 creator A5037481671 @default.
- W4313120906 creator A5037804805 @default.
- W4313120906 creator A5050515841 @default.
- W4313120906 creator A5073132797 @default.
- W4313120906 date "2022-01-01" @default.
- W4313120906 modified "2023-10-14" @default.
- W4313120906 title "A protocol for canopy cover monitoring on forest restoration projects using low-cost drones" @default.
- W4313120906 cites W1442930683 @default.
- W4313120906 cites W1584308190 @default.
- W4313120906 cites W1984792953 @default.
- W4313120906 cites W1998943389 @default.
- W4313120906 cites W2002008272 @default.
- W4313120906 cites W2023138554 @default.
- W4313120906 cites W2028427954 @default.
- W4313120906 cites W2081694572 @default.
- W4313120906 cites W2089716607 @default.
- W4313120906 cites W2133125644 @default.
- W4313120906 cites W2134420993 @default.
- W4313120906 cites W2138973222 @default.
- W4313120906 cites W2151487838 @default.
- W4313120906 cites W2170984747 @default.
- W4313120906 cites W2171467188 @default.
- W4313120906 cites W2462194796 @default.
- W4313120906 cites W2471962767 @default.
- W4313120906 cites W2552143308 @default.
- W4313120906 cites W2593390154 @default.
- W4313120906 cites W2605976530 @default.
- W4313120906 cites W2771668052 @default.
- W4313120906 cites W2790063226 @default.
- W4313120906 cites W2791210235 @default.
- W4313120906 cites W2792224463 @default.
- W4313120906 cites W2884313115 @default.
- W4313120906 cites W2884701007 @default.
- W4313120906 cites W2902668251 @default.
- W4313120906 cites W2919297567 @default.
- W4313120906 cites W2928980835 @default.
- W4313120906 cites W2929503636 @default.
- W4313120906 cites W2936497219 @default.
- W4313120906 cites W2939702024 @default.
- W4313120906 cites W2946852068 @default.
- W4313120906 cites W2953619972 @default.
- W4313120906 cites W2983534366 @default.
- W4313120906 cites W2995081987 @default.
- W4313120906 cites W3017075957 @default.
- W4313120906 cites W3023848277 @default.
- W4313120906 cites W3046338105 @default.
- W4313120906 cites W3095106574 @default.
- W4313120906 cites W3164642518 @default.
- W4313120906 cites W3168526407 @default.
- W4313120906 cites W3176010733 @default.
- W4313120906 cites W3199488171 @default.
- W4313120906 cites W373513852 @default.
- W4313120906 cites W4211125482 @default.
- W4313120906 cites W4212788639 @default.
- W4313120906 doi "https://doi.org/10.1515/geo-2022-0406" @default.
- W4313120906 hasPublicationYear "2022" @default.
- W4313120906 type Work @default.
- W4313120906 citedByCount "2" @default.
- W4313120906 countsByYear W43131209062022 @default.
- W4313120906 countsByYear W43131209062023 @default.
- W4313120906 crossrefType "journal-article" @default.
- W4313120906 hasAuthorship W4313120906A5028929804 @default.
- W4313120906 hasAuthorship W4313120906A5033272839 @default.
- W4313120906 hasAuthorship W4313120906A5037481671 @default.
- W4313120906 hasAuthorship W4313120906A5037804805 @default.
- W4313120906 hasAuthorship W4313120906A5050515841 @default.
- W4313120906 hasAuthorship W4313120906A5073132797 @default.
- W4313120906 hasBestOaLocation W43131209061 @default.
- W4313120906 hasConcept C101000010 @default.
- W4313120906 hasConcept C127413603 @default.
- W4313120906 hasConcept C142724271 @default.
- W4313120906 hasConcept C161840515 @default.
- W4313120906 hasConcept C181843262 @default.
- W4313120906 hasConcept C18903297 @default.
- W4313120906 hasConcept C204787440 @default.
- W4313120906 hasConcept C205649164 @default.
- W4313120906 hasConcept C2780385302 @default.
- W4313120906 hasConcept C2780428219 @default.
- W4313120906 hasConcept C2986088632 @default.
- W4313120906 hasConcept C39432304 @default.
- W4313120906 hasConcept C39807119 @default.
- W4313120906 hasConcept C41008148 @default.
- W4313120906 hasConcept C54355233 @default.
- W4313120906 hasConcept C58640448 @default.
- W4313120906 hasConcept C59519942 @default.
- W4313120906 hasConcept C62649853 @default.
- W4313120906 hasConcept C71924100 @default.
- W4313120906 hasConcept C78519656 @default.
- W4313120906 hasConcept C86803240 @default.
- W4313120906 hasConceptScore W4313120906C101000010 @default.
- W4313120906 hasConceptScore W4313120906C127413603 @default.
- W4313120906 hasConceptScore W4313120906C142724271 @default.
- W4313120906 hasConceptScore W4313120906C161840515 @default.
- W4313120906 hasConceptScore W4313120906C181843262 @default.