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共检索到57条 ,权限内显示50条;
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Data from: An efficient method to exploit LiDAR data in animal ecology
- 负责人:
- Ciuti, Simone
- 关键词:
- LiDAR Principal Component Analysis satellite telemetry roe deer red deer resource selection functions habitat modelling
- DOI:
- doi:10.5061/dryad.4t18d
- 摘要:
- ge LiDAR datasets challenge predictive ecologists, who commonly simplify point clouds into structural attributes (namely LiDAR-based metrics such as canopy height
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Use and categorization of Light Detection and Ranging vegetation metrics in avian diversity and species distribution research
- 负责人:
- Kissling, W. Daniel
- 关键词:
- airborne laser scanning animal diversity habitat use LiDAR literature review species distribution modelling structural heterogeneity vertical vegetation structure Light Detection and Ranging point cloud
- DOI:
- doi:10.5061/dryad.tm28hb6
- 摘要:
- . Location: Global. Methods: We review 50 relevant papers and quantify where, in which habitats, at which spatial scales and with what kind of LiDAR data
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Field validation of radar systems for monitoring bird migration
- 负责人:
- DOI:
- doi:10.5061/dryad.nr1h6t0
- 摘要:
- a field campaign to compare and validate outputs from different radar systems. 2. Here we compare the pattern of nocturnal bird migration movements recorded
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Tropical tree size-frequency distributions from airborne lidar
- 负责人:
- DOI:
- doi:10.5068/D17W9M
- 摘要:
- and species identification) and rarely measure tree height or crown size. Remote sensing airborne lidar (light detection and ranging) is considered a complementary method
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Precision agriculture and GIS: evaluating the use of yield maps combined with LiDAR data
- 负责人:
- 关键词:
- LiDAR Geographic Information Science and Technology precision agriculture geographic information systems GIS light detection and ranging yield composite yield. agriculture slope
- DOI:
- doi:10.25549/usctheses-c40-267022
- 摘要:
- ee years of yield data were used for each field and slope data was created using LiDAR from St. Croix County. These yield data were interpolated usi
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: LeWoS: A universal leaf-wood classification method to facilitate the 3D modelling of large tropical trees using terrestrial LiDAR
- 负责人:
- DOI:
- doi:10.5061/dryad.np5hqbzp6
- 摘要:
- 1. Leaf-wood separation in terrestrial LiDAR data is a prerequisite for non-destructively estimating biophysical forest properties such as standing
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Characterizing forest structure variations across an intact tropical peat dome using field samplings and airborne LiDAR
- 负责人:
- DOI:
- doi:10.5061/dryad.817h6
- 摘要:
- and anthropogenic disturbances. In this study we combined direct field sampling and airborne LiDAR to empirically quantify forest structure and aboveground live biomass (AGB) ac
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Integrated radar and lidar analysis reveals extensive loss of remaining intact forest on Sumatra 2007–2010
- 负责人:
- DOI:
- doi:10.5061/dryad.4cc5m
- 摘要:
- and change detection using Synthetic Aperture Radar (SAR). However, by integrating L-band (? = 0.23 m) SAR with lidar data from the ALOS and ICESat earth-observing
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: In situ reference datasets from the TropiSAR and AfriSAR campaigns in support of upcoming spaceborne biomass missions
- 负责人:
- DOI:
- doi:10.5061/dryad.467hp97
- 摘要:
- , forest inventory, and lidar data were collected over six study sites. This paper describes the methods used for forest inventory and lidar data
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Evaluating the ability of community?protected forests in Cambodia to prevent deforestation and degradation using temporal
- 负责人:
- DOI:
- doi:10.5061/dryad.nt7kg5g
- 摘要:
- ?protected forests and a wider study area. Medium?resolution Landsat, ALOS PALSAR data, and high?resolution LiDAR data were used to study the spatial distribution of forest degrada