Results 71 to 80 of about 42,999 (309)
Machine Learning-Based Deforestation Monitoring and Forecasting Using Sentinel-2 Imagery: A Case Study in Narra, Palawan [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesManual approaches to deforestation monitoring are time-consuming, inconsistent, and difficult to scale. Most existing systems rely on subjective interpretation or semi-automated tools, limiting repeatability and real-time assessment.
J. E. Laag, K. E. S. Pilario
doaj +1 more source
Classification of ALS Point Cloud with Improved Point Cloud Segmentation and Random Forests [PDF]
Remote Sensing, 2017 This paper presents an automated and effective framework for classifying airborne laser scanning (ALS) point clouds. The framework is composed of four stages: (i) step-wise point cloud segmentation, (ii) feature extraction, (iii) Random Forests (RF) based feature selection and classification, and (iv) post-processing.
Huan Ni, Xiangguo Lin, Jixian Zhang
openaire +2 more sources
Species-specific forest variable estimation using non-parametric modeling of multi-spectral photogrammetric point cloud data [PDF]
, 2012 The recent development in software for automatic photogrammetric processing of multispectral aerial imagery, and the growing nation-wide availability of Digital Elevation Model (DEM) data, are about to revolutionize data capture for forest management ...
Fransson, Johan E.S. +3 more
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, 2021 Accurate forest above-ground biomass (AGB) estimation is important for dynamic monitoring of forest resources and evaluation of forest carbon sequestration capacity.
Xiaoli Zhang, Linghan Gao
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Advanced Science, EarlyView.A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei +7 more
wiley +1 more source
Resistant Peanut Genotype Reprograms Rhizosphere Metabolism to Enhance Bacterial Wilt Suppression
Advanced Science, EarlyView.The resistant peanut genotype selectively recruits beneficial bacteria, which coincides with the activation of salicylic acid (SA)‐dependent systemic acquired resistance (SAR) against Ralstonia solanacearum. Keystone rhizosphere metabolites are positively correlated with both beneficial microbiome assembly and SAR gene expression.
Rui Ren +20 more
wiley +1 more source
Tropical ZoologyThe continuous changes and increase of land use into ranching and agriculture have caused shifts in the composition and structure of dung beetle communities due to the modification of vegetation structure.
Rodrigo Tec Pardillo +6 more
doaj +1 more source
Tropical Montane Cloud Forest Characteristics in Southern Thailand
Walailak Journal of Science and Technology, 2011 The climatic, vegetation and soil characteristics of several tropical montane cloud forests in southern Thailand were investigated. Automatic weather stations were installed at three study sites: Mt. Nom cloud forest, Dadfa cloud forest and Mt.
Mullica JAROENSUTASINEE +3 more
doaj +1 more source
Epiphytic bryophytes of Monteverde, Costa Rica
, 2001 A survey of the literature and collections in the Monteverde Cloud Forest Preserve and adjacent pastureland yielded a total of 198 epiphytic bryophyte taxa (120 species of hepatics in 50 genera, 77 species of moss in 48 genera, and 1 hornwort): 178 in ...
Nadkarni, Nalini M. +2 more
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An assessment of the use of airborne LiDAR for estimating growth of Sitka spruce (Picea sitchensis) plantation forestry at Kielder Forest, UK [PDF]
, 2007 A growing need exists for the collection of accurate and up-to-date information on forest growth rates for management purposes. Recent studies indicate that airborne laser scanning (ALS) offers a quicker and more cost-effective approach than the ...
Woodget, Amy Sara
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