Results 11 to 20 of about 556,737 (306)
Remote Sensing, 2022 This paper proposes an improved model-based forest height inversion method for airborne L-band dual-baseline repeat-pass polarimetric synthetic aperture radar interferometry (PolInSAR) collections.
Qi Zhang +4 more
doaj +1 more source
Forest biomass change estimated from height change in interferometric SAR height models [PDF]
Carbon Balance and Management, 2014 There is a need for new satellite remote sensing methods for monitoring tropical forest carbon stocks. Advanced RADAR instruments on board satellites can contribute with novel methods. RADARs can see through clouds, and furthermore, by applying stereo RADAR imaging we can measure forest height and its changes.
Solberg, Svein +3 more
openaire +2 more sources
ISPRS International Journal of Geo-Information, 2020 Machine learning has been employed for various mapping and modeling tasks using input variables from different sources of remote sensing data. For feature selection involving high- spatial and spectral dimensionality data, various methods have been ...
Sanjiwana Arjasakusuma +2 more
doaj +1 more source
Factorization forests of finite height
Theoretical Computer Science, 1990 We introduce factorization forests. It is shown that the vertex set of a dense factorization forest of finite height satisfies a bounded gap Ramsey-type property of words. The main result is that every morphism from a free semigroup to a finite semigroup S admits a Ramseyan factorization forest of height at most \(9| S|\).
Chalopin, Jérémie, Leung, Hing
openaire +3 more sources
Investigation the Effect of the Forest Height and Forest Density on the Accuracy of Forest Height Estimation Methods Using PolInSAR Data [PDF]
علوم، فناوری و کاربردهای فضایی, 2022 Forest biomass is one of the most important parameters in the ecosystem changes assessment and global carbon cycle modelling. In the other hand, the forest height is an effective parameter in the allometric equations which are used for biomass estimation.
Tayebe Managhebi, Akram JafarAghaee
doaj +1 more source
Remote Sensing, 2022 Forest density affects the inversion of forest height by influencing the penetration and attenuation of synthetic aperture radar (SAR) signals. Traditional forest height inversion methods often fail in low-density forest areas.
Ao Sui +3 more
doaj +1 more source
A Modified Dual-Baseline PolInSAR Method for Forest Height Estimation
Remote Sensing, 2017 This paper investigates the potentials and limitations of a simple dual-baseline PolInSAR (DBPI) method for forest height inversion. This DBPI method follows the classical three-stage inversion method’s idea used in single baseline PolInSAR (SBPI ...
Qinghua Xie +5 more
doaj +1 more source
Abiotic controls on macroscale variations of humid tropical forest height [PDF]
, 2016 Spatial variation of tropical forest tree height is a key indicator of ecological processes associated with forest growth and carbon dynamics. Here we examine the macroscale variations of tree height of humid tropical forests across three continents and ...
Knyazikhin, Yuri +7 more
core +2 more sources
Ice storm effects on the canopy structure of a northern hardwood forest after 8 years [PDF]
, 2009 Ice storms can cause severe damage to forest canopies, resulting in differential mortality among tree species and size classes and leading to long-lasting changes in the vertical structure and composition of the forest.
Hamburg, Steven P. +2 more
core +3 more sources
Estimation of change in forest height growth [PDF]
Forestry Studies, 2017 Abstract Forest height increment rate is related to the forest growth conditions. Data bases of previous forest inventories contain information about forest heightage relationship on large number of forest stands while repeated measurements of permanent sample plots provide an excellent reference for comparison.
Lang Mait +3 more
openaire +2 more sources