Estimation of Semiarid Forest Canopy Cover Using Optimal Field Sampling and Satellite Data with Machine Learning Algorithms
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the Indian Society of Remote Sensing"
DOI: 10.1007/s12524-020-01102-x
Abstract: Forest canopy cover represents different characteristics of forest stands. However, especially in semiarid forest, the estimation of canopy cover by field measurements is too expensive. Therefore, it is necessary to develop appropriate techniques to estimate… read more here.
Keywords: forest canopy; field; canopy cover; semiarid forest ... See more keywords
Measuring the vertical profile of leaf wetness in a forest canopy
Sign Up to like & getrecommendations! Published in 2021 at "MethodsX"
DOI: 10.1016/j.mex.2021.101332
Abstract: Plant canopies are wet for substantial amounts of time and this influences physiological performance and fluxes of energy, carbon and water at the ecosystem level. Leaf wetness sensors enable us to quantify the duration of… read more here.
Keywords: wetness; forest canopy; profile; leaf wetness ... See more keywords
Large-scale variations in the dynamics of Amazon forest canopy gaps from airborne lidar data and opportunities for tree mortality estimates
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-020-80809-w
Abstract: We report large-scale estimates of Amazonian gap dynamics using a novel approach with large datasets of airborne light detection and ranging (lidar), including five multi-temporal and 610 single-date lidar datasets. Specifically, we (1) compared the… read more here.
Keywords: large scale; gap; mortality estimates; forest canopy ... See more keywords
Integrating PolInSAR and GEDI data with machine learning for forest canopy height predicting in Pongara National Park, Gabon
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2025.2549131
Abstract: ABSTRACT Accurate monitoring of forest canopy height (FCH) is highly important to gain a proper understanding of ecosystem dynamics, biodiversity, and carbon sequestration processes. This study presents an effective approach that integrates Polarimetric Synthetic Aperture… read more here.
Keywords: forest canopy; model; gedi; canopy ... See more keywords
Mapping of urban forest canopy height through diffusion-enhanced deep learning by using sentinel-2 and urban geospatial data
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Digital Earth"
DOI: 10.1080/17538947.2025.2553794
Abstract: ABSTRACT Urban canopy height is a key indicator for assessing urban ecosystem services and ecological functions. However, the fragmentation and heterogeneity of urban forests pose challenges to the deep learning methods that perform well in… read more here.
Keywords: deep learning; urban forest; forest canopy; canopy ... See more keywords
Multi-temporal analysis of forest canopy cover in Ngel Nyaki Forest Reserve using the Sentinel-1 and Sentinel-2 data
Sign Up to like & getrecommendations! Published in 2024 at "African Geographical Review"
DOI: 10.1080/19376812.2024.2441680
Abstract: ABSTRACT This research used the Sentinel-1 and Sentinel-2 data to map forest canopy cover. The main aim of this study is to assess the capability and value of SAR and Optical image data for mapping,… read more here.
Keywords: sentinel sentinel; cover; forest canopy; sentinel data ... See more keywords
Estimation of Forest Canopy Cover by Combining ICESat-2/ATLAS Data and Geostatistical Method/Co-Kriging
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3340429
Abstract: Accurately estimating forest canopy cover (FCC) is challenging by using traditional remote sensing images at the regional level due to the spectral saturation phenomenon. In this study, to improve the estimation accuracy, a new method… read more here.
Keywords: method; fcc; forest canopy; model ... See more keywords
Ultra-High Spatial Resolution Mapping of Urban Forest Canopy Height With Multimodal Remote Sensing Data and Deep Learning Method
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3545482
Abstract: Urban forest canopy height is an important indicator for urban carbon storage, vegetation ecosystems services, and devising effective forest management strategies to combat global climate change. Although both spaceborne or airborne light detection and ranging… read more here.
Keywords: urban forest; forest canopy; resolution; canopy ... See more keywords
Retrieving Directional Gap Fraction, Extinction Coefficient, and Effective Leaf Area Index by Incorporating Scan Angle Information From Discrete Aerial Lidar Data
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2016.2611651
Abstract: The scan angle information implicitly contained within the 3-D point cloud data (PCD) generated from light detection and ranging strongly affects the retrieval accuracy of the forest canopy structural parameters. Using information generated from overlapping… read more here.
Keywords: forest canopy; angle information; scan angle;
Mapping Forest Canopy Height at Large Scales Using ICESat-2 and Landsat: An Ecological Zoning Random Forest Approach
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3231926
Abstract: Forest canopy height (FCH) is a crucial indicator in the calculation of forest biomass and carbon sinks. There are various methods to measure FCH, such as space-borne light detection and ranging (LiDAR), but their data… read more here.
Keywords: ecological zoning; forest canopy; canopy height; model ... See more keywords
Landscape‐scale drivers of liana load across a Southeast Asian forest canopy differ to the Neotropics
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Ecology"
DOI: 10.1111/1365-2745.14015
Abstract: Lianas (woody vines) are a key component of tropical forests, known to reduce forest carbon storage and sequestration and to be increasing in abundance. Analysing how and why lianas are distributed in forest canopies at… read more here.
Keywords: canopy; ecology; liana load; forest canopy ... See more keywords