Results 261 to 270 of about 183,096 (290)

SAR radargrammetry and scanning LiDAR in predicting forest canopy height

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Our objective was to evaluate the accuracy of estimating forest canopy height when using scanning LiDAR and TerraSAR-X stereo radargrammetry. The study area was located in southern Finland. We used SAR radargrammetry and LiDAR to extract 3D point clouds to derive predictors used in the non-parametric prediction of forest canopy height.
Vastaranta, Mikko, Holopainen, Markus, Karjalainen, Mika, Kankare, Ville, Hyyppä, Juha, Kaasalainen, Sanna, Hyyppä, Hannu   +7 more
openaire   +3 more sources

Hurricanes are limiting the mangrove canopy heights in the Gulf of Mexico

Science of The Total Environment
Mangrove canopy height (MCH) has been described as a leading characteristic of mangrove forests, protecting coastal economic interests from hurricanes. Meanwhile, winter temperature has been considered the main factor controlling the MCH along subtropical coastlines.
Marcelo C L, Cohen, Qiang, Yao, Adriana V, de Souza, Kam-Biu, Liu, Luiz C R, Pessenda   +4 more
openaire   +2 more sources

A forest canopy height surface model for scene simulation

SIMULATION, 1987
A model of forest canopy heights can support realistic remote sensing scene simulation. The final pixel (x, y) array of canopy heights results from merging structural and statistical sub-models. The structural model considers tree crowns to be structural primitives and permits explicit specification of forest structural characteristics (crown forms ...
openaire   +1 more source

Modelling thermal eddy diffusivity at canopy height

Boundary-Layer Meteorology, 1977
A one-dimensional, steady-state plant-atmosphere model using different formulae for the thermal stability function is applied to data for corn crops. There are two general types of formulae available. Those proposed by W. C. Swinbank, A. J. Dyer and B. B. Hicks, and E. K.
L. A. Mehlenbacher, D. W. A. Whitfield
openaire   +1 more source

A backscattering data simulation model for forest canopy based on canopy height information

2018 IEEE Radar Conference (RadarConf18), 2018
The traditional backscattering data simulation models of forest canopy use uniform distribution or random distribution to simulate the vegetation distribution that are different from the real scene. To simulate the backscattering data of forest canopy realistically, a simulation method based on canopy height information is proposed.
Qiang Gao, Meng Ke, Zegang Ding, Tao Zeng   +3 more
openaire   +1 more source

sentinel2-canopy-height

This is a data repository for the paper "Estimating vegetation canopy height from intra-annual Sentinel-2 reflectance dynamics using a 3D convolutional neural network"
openaire   +1 more source

GETTING TO THE CANOPY: TREE HEIGHT GROWTH IN A NEOTROPICAL RAIN FOREST

Ecology, 2001
There is still limited understanding of the processes underlying forest dy- namics in the world's tropical rain forests, ecosystems of disproportionate importance in terms of global biogeochemistry and biodiversity. Particularly poorly documented are the nature and time scale of upward height growth during regeneration by the tree species in these ...
Deborah A. Clark, David B. Clark
openaire   +1 more source

Experiment on extracting forest canopy height from Worldview-2

2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2011
Taking advantage of rational polynomial coefficient (RPC) data delivered along with the very high resolution satellite (VHRS) Worldview-2 images, we proposed an easy RPC adjustment method for the commercial software ENVI to generate digital surface model (DSM) with only one ground control point (GCP). The DSM was then used to derive canopy crown height
Huaguo Huang, Biao Cao
openaire   +1 more source

Tree and Canopy Height Estimation with Scanning Lidar

2003
A large part of the research efforts concerning the remote sensing of forests has been devoted to the development of repeatable methods for the extraction of information from monoscopic, two-dimensional images. Emphasis has been on spectral pattern recognition.
Benoît St-Onge, Paul Treitz, Michael A. Wulder   +2 more
openaire   +1 more source

Exploring Canopy Temperature and Height Dynamics in Forest Ecosystems

2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), 2023
Riyaaz Uddien Shaik, Kathiravan Thangavel, Sriram Babu Jallu, Dario Spiller, Roberto Sabatini, Weiping Zeng   +5 more
openaire   +1 more source