Hernández‐Stefanoni et al., 2015 - Google Patents
Estimating species richness and biomass of tropical dry forests using LIDAR during leaf‐on and leaf‐off canopy conditionsHernández‐Stefanoni et al., 2015
View PDF- Document ID
- 4599786994820211343
- Author
- Hernández‐Stefanoni J
- Johnson K
- Cook B
- Dupuy J
- Birdsey R
- Peduzzi A
- Tun‐Dzul F
- Publication year
- Publication venue
- Applied Vegetation Science
External Links
Snippet
Questions Is the accuracy of predictions of above‐ground biomass (AGB) and plant species richness of tropical dry forests from LIDAR data compromised during leaf‐off canopy period, when most of the vegetation is leafless, compared to the leaf‐on period? How does …
- 241000894007 species 0 title abstract description 67
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Osland et al. | Climate and plant controls on soil organic matter in coastal wetlands | |
| Xu et al. | Seasonal variability of forest sensitivity to heat and drought stresses: a synthesis based on carbon fluxes from North American forest ecosystems | |
| Hernández‐Stefanoni et al. | Estimating species richness and biomass of tropical dry forests using LIDAR during leaf‐on and leaf‐off canopy conditions | |
| Skowronek et al. | Mapping an invasive bryophyte species using hyperspectral remote sensing data | |
| Hermosilla et al. | Estimation of forest structure and canopy fuel parameters from small-footprint full-waveform LiDAR data | |
| Colgan et al. | Harvesting tree biomass at the stand level to assess the accuracy of field and airborne biomass estimation in savannas | |
| Kempes et al. | Comparing response of Pinus edulis tree-ring growth to five alternate moisture indices using historic meteorological data | |
| Antonarakis et al. | Using Lidar and Radar measurements to constrain predictions of forest ecosystem structure and function | |
| Hall et al. | Characterizing 3D vegetation structure from space: Mission requirements | |
| Zhang et al. | Mapping forest stand age in China using remotely sensed forest height and observation data | |
| Fisher et al. | Phenology model from surface meteorology does not capture satellite‐based greenup estimations | |
| Kasischke et al. | Soil moisture limitations on monitoring boreal forest regrowth using spaceborne L-band SAR data | |
| Hassler et al. | Tree-, stand-and site-specific controls on landscape-scale patterns of transpiration | |
| Hayashi et al. | Forest canopy height estimation using ICESat/GLAS data and error factor analysis in Hokkaido, Japan | |
| Lucas et al. | Measurement of forest above-ground biomass using active and passive remote sensing at large (subnational to global) scales | |
| Fisher et al. | Tree‐mycorrhizal associations detected remotely from canopy spectral properties | |
| Goebes et al. | Species-specific effects on throughfall kinetic energy in subtropical forest plantations are related to leaf traits and tree architecture | |
| Gosheva et al. | Reconstruction of historic forest cover changes indicates minor effects on carbon stocks in Swiss forest soils | |
| Ťupek et al. | Evaluating CENTURY and Yasso soil carbon models for CO2 emissions and organic carbon stocks of boreal forest soil with Bayesian multi‐model inference | |
| Mitchell et al. | Capturing within catchment variation in evapotranspiration from montane forests using LiDAR canopy profiles with measured and modelled fluxes of water | |
| Ediriweera et al. | Estimating above-ground biomass by fusion of LiDAR and multispectral data in subtropical woody plant communities in topographically complex terrain in North-eastern Australia | |
| Silva et al. | Combined effect of pulse density and grid cell size on predicting and mapping aboveground carbon in fast-growing Eucalyptus forest plantation using airborne LiDAR data | |
| Wingate et al. | Estimating aboveground woody biomass change in Kalahari woodland: combining field, radar, and optical data sets | |
| Yu et al. | Terrestrial laser scanning‐derived canopy interception index for predicting rainfall interception | |
| Fu et al. | Spatial and temporal dynamics of forest aboveground carbon stocks in response to climate and environmental changes |