Results 11 to 20 of about 181,377 (255)

Maximum height of mountain forests abruptly decreases above an elevation breakpoint

GIScience & Remote Sensing, 2021
Canopy height is an excellent indicator of forest productivity, biodiversity and other ecosystem functions. Yet, we know little about how elevation drives canopy height in mountain areas.
Aitor Ameztegui, Marcos Rodrigues, Pere Joan Gelabert, Bernat Lavaquiol, Lluís Coll   +4 more
doaj   +1 more source

Analyzing Canopy Height Patterns and Environmental Landscape Drivers in Tropical Forests Using NASA’s GEDI Spaceborne LiDAR

Remote Sensing, 2022
Canopy height is a fundamental parameter for determining forest ecosystem functions such as biodiversity and above-ground biomass. Previous studies examining the underlying patterns of the complex relationship between canopy height and its environmental ...
Esmaeel Adrah, Wan Shafrina Wan Mohd Jaafar, Hamdan Omar, Shaurya Bajaj, Rodrigo Vieira Leite, Siti Munirah Mazlan, Carlos Alberto Silva, Maggie Chel Gee Ooi, Mohd Nizam Mohd Said, Khairul Nizam Abdul Maulud, Adrián Cardil, Midhun Mohan   +11 more
doaj   +1 more source

Physical interpretation of the correlation between multi-angle spectral data and canopy height [PDF]

, 2007
Recent empirical studies have shown that multi-angle spectral data can be useful for predicting canopy height, but the physical reason for this correlation was not understood.
Blair, J., Chiu, J. Christine, Ganguly, Samita, Huang, D., Jenkins, J., Knyazikhin, Y., Marshak, A., Myneni, R., Samanta, A., Schull, M., Shabanov, N.   +10 more
core   +1 more source

Modeling tree canopy height using machine learning over mixed vegetation landscapes

International Journal of Applied Earth Observations and Geoinformation, 2021
Although the random forest algorithm has been widely applied to remotely sensed data to predict characteristics of forests, such as tree canopy height, the effect of spatial non-stationarity in the modeling process is oftentimes neglected.
Hui Wang, Travis Seaborn, Zhe Wang, Christopher C. Caudill, Timothy E. Link   +4 more
doaj   +1 more source

Canopy Height Estimation Using Sentinel Series Images through Machine Learning Models in a Mangrove Forest

Remote Sensing, 2020
Canopy height serves as a good indicator of forest carbon content. Remote sensing-based direct estimations of canopy height are usually based on Light Detection and Ranging (LiDAR) or Synthetic Aperture Radar (SAR) interferometric data.
Sujit Madhab Ghosh, Mukunda Dev Behera, Somnath Paramanik   +2 more
doaj   +1 more source

Quantifying Dynamics in Tropical Peat Swamp Forest Biomass with Multi- Temporal LiDAR Datasets [PDF]

, 2013
Tropical peat swamp forests in Indonesia store huge amounts of carbon and are responsible for enormous carbon emissions every year due to forest degradation and deforestation.
Asner, Asner, Asner, Baccini, Ballhorn, Bater, Berry, Boehm, Brown, Campbell, Chave, Chudnoff, Couwenberg, Dougherty, Dubayah, Duncanson, Edwards, Felton, Florian Siegert, Franke, Gibbs, Gleason, Goetz, Hashimotio, Hiratsuka, Hooijer, Hudak, Hughes, Jaenicke, Jenkins, Jubanski, Juilson Jubanski, Jung, Kronseder, Lefsky, Mascaro, Mascaro, Mazzei, Meyer, Miettinen, Murdiyarso, Page, Page, Pearson, Pinard, Saatchi, Sandra Englhart, Shepherd, Siegert, Van der Werf, Vepakomma, Vincent, Whitmore   +52 more
core   +2 more sources

ESTIMATING TREE CANOPY HEIGHT IN DENSELY FOREST-COVERED MOUNTAINOUS AREAS USING GEDI SPACEBORNE FULL-WAVEFORM DATA [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
Tree canopy height is an important parameter for estimating forest carbon stock, and mountainous areas with dense vegetation cover are the main distribution areas of trees, so it is important to accurately measure the forest canopy height in mountainous ...
C. Liu, S. Wang
doaj   +1 more source

Tree Death Not Resulting in Gap Creation: An Investigation of Canopy Dynamics of Northern Temperate Deciduous Forests

Remote Sensing, 2018
Several decades of research have shown that canopy gaps drive tree renewal processes in the temperate deciduous forest biome. In the literature, canopy gaps are usually defined as canopy openings that are created by partial or total tree death of one or ...
Jean-Francois Senécal, Frédérik Doyon, Christian Messier   +2 more
doaj   +1 more source

Image to Image Deep Learning for Enhanced Vegetation Height Modeling in Texas

Remote Sensing, 2023
Vegetation canopy height mapping is vital for forest monitoring. However, the high cost and inefficiency of manual tree measurements, coupled with the irregular and limited local-scale acquisition of airborne LiDAR data, continue to impede its widespread
Lonesome Malambo, Sorin Popescu
doaj   +1 more source

Regional scale rain-forest height mapping using regression-kriging of spaceborne and airborne lidar data : application on French Guiana [PDF]

, 2016
LiDAR data has been successfully used to estimate forest parameters such as canopy heights and biomass. Major limitation of LiDAR systems (airborne and spaceborne) arises from their limited spatial coverage.
Baghdadi, N., Bailly, J. S., Barbier, Nicolas, El Hajj, M., Fabre, F., Fayad, I., Gond, V., Herault, B., Perrin, J.   +8 more
core   +6 more sources