Results 11 to 20 of about 2,238,427 (150)

Estimates of Forest Canopy Height Using a Combination of ICESat-2/ATLAS Data and Stereo-Photogrammetry

Remote Sensing, 2020
Forest canopy height is an indispensable forest vertical structure parameter for understanding the carbon cycle and forest ecosystem services. A variety of studies based on spaceborne Lidar, such as ICESat, ICESat-2 and airborne Lidar, were conducted to ...
Xiaojuan Lin, Min Xu, Chunxiang Cao, Yongfeng Dang, Barjeece Bashir, Bo Xie, Zhibin Huang   +6 more
doaj   +2 more sources

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   +2 more sources

Exploring the Relationship between Forest Canopy Height and Canopy Density from Spaceborne LiDAR Observations [PDF]

Remote Sensing, 2021
Forest structure is a useful proxy for carbon stocks, ecosystem function and species diversity, but it is not well characterised globally. However, Earth observing sensors, operating in various modes, can provide information on different components of ...
Heather Kay, Maurizio Santoro, Oliver Cartus, Pete Bunting, Richard Lucas   +4 more
doaj   +2 more sources

Upscaling Forest Canopy Height Estimation Using Waveform-Calibrated GEDI Spaceborne LiDAR and Sentinel-2 Data

Remote Sensing
Forest canopy height is a fundamental parameter of forest structure, and plays a pivotal role in understanding forest biomass allocation, carbon stock, forest productivity, and biodiversity. Spaceborne LiDAR (Light Detection and Ranging) systems, such as
Junjie Wang, Xin Shen, Lin Cao
doaj   +2 more sources

Forest drought resistance distinguished by canopy height [PDF]

Environmental Research Letters, 2018
How are the survival and growth of trees under severe drought affected by their size? While some studies have shown that large trees are more vulnerable to drought than smaller trees, others found that small trees are the more vulnerable. We explored the
Peipei Xu, Tao Zhou, Chuixiang Yi, Wei Fang, George Hendrey, Xiang Zhao   +5 more
doaj   +3 more sources

Predicting the Forest Canopy Height from LiDAR and Multi-Sensor Data Using Machine Learning over India

Remote Sensing, 2022
Forest canopy height estimates, at a regional scale, help understand the forest carbon storage, ecosystem processes, the development of forest management and the restoration policies to mitigate global climate change, etc.
Sujit M. Ghosh, Mukunda D. Behera, Subham Kumar, Pulakesh Das, Ambadipudi J. Prakash, Prasad K. Bhaskaran, Parth S. Roy, Saroj K. Barik, Chockalingam Jeganathan, Prashant K. Srivastava, Soumit K. Behera   +10 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

Effect of leaf-on and leaf-off canopy conditions on forest height retrieval and modelling with ICESat-2 data

International Journal of Digital Earth, 2023
Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) provides effective photon-counting light detection and ranging (LiDAR) data for estimating forest height across extensive geographical areas.
Jialu Zhou, Yunyuan Deng, Sheng Nie, Jing Fu, Cheng Wang, Wenwu Zheng, Yue Sun   +6 more
doaj   +1 more source

Forest Canopy Cover Inversion Exploration Using Multi-Source Optical Data and Combined Methods [PDF]

, 2023
An accurate estimation of canopy cover can provide an important basis for forest ecological management by understanding the forest status and change patterns.
Armando Marino, Wangfei Zhang, Jimao Huang, Mao, Yingwu, Yingwu Mao, Zhao, Han, Xin Tian, Han Zhao, Zhang, Wangfei, Yuan Guan, Huang, Jimao, Tian, Xin, Marino, Armando, Guan, Yuan   +13 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