Tiejun Wang
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View article: Deep learning-based vegetation canopy height mapping with polarimetric SAR: Application of a Polarization Fusion U-Net in Gabon’s tropical forests
Deep learning-based vegetation canopy height mapping with polarimetric SAR: Application of a Polarization Fusion U-Net in Gabon’s tropical forests Open
View article: Forest structural attributes as indicators and mediators of aboveground carbon storage and woody plant species richness in natural forests
Forest structural attributes as indicators and mediators of aboveground carbon storage and woody plant species richness in natural forests Open
View article: Towards Smart Aluminum Smelting: An AI-Driven Approach for Real Time Thermal Anomaly Detection Using Distributed Optical Fiber Sensors
Towards Smart Aluminum Smelting: An AI-Driven Approach for Real Time Thermal Anomaly Detection Using Distributed Optical Fiber Sensors Open
Abnormal temperature rise in the cathode steel bars of electrolytic aluminum cells, a core smelting equipment, is a major cause of furnace leakage accidents. However, traditional thermocouple and infrared temperature measurement technologi…
View article: Effect of forest structural attributes on soil microbial diversity in mixed temperate forests
Effect of forest structural attributes on soil microbial diversity in mixed temperate forests Open
Background and aims Forest structures create diverse ecological niches that sustain biodiversity across various taxa. Despite their ecological importance, the relationship between forest structure and belowground biodiversity, particularly…
View article: Spatiotemporal monitoring in beidagang wetland using Landsat time-series images and Google Earth Engine during 2000–2022
Spatiotemporal monitoring in beidagang wetland using Landsat time-series images and Google Earth Engine during 2000–2022 Open
Wetlands are composed of the interaction of water, soil and suitable vegetation, which has rich biological resources and strong ecological benefits. Due to increasing human disturbance and the effects of climate change, wetlands are being …
View article: Global Mean-Amplitude Enhanced Spiking Neural Network Coherent Ising Machine
Global Mean-Amplitude Enhanced Spiking Neural Network Coherent Ising Machine Open
The coherent Ising machine (CIM) is a quantum-inspired computing platform that leverages optical parametric oscillation dynamics to solve combinatorial optimization problems by searching for the ground state of an Ising Hamiltonian. Conven…
View article: CAPMix: Robust Time Series Anomaly Detection Based on Abnormal Assumptions with Dual-Space Mixup
CAPMix: Robust Time Series Anomaly Detection Based on Abnormal Assumptions with Dual-Space Mixup Open
Time series anomaly detection (TSAD) is a vital yet challenging task, particularly in scenarios where labeled anomalies are scarce and temporal dependencies are complex. Recent anomaly assumption (AA) approaches alleviate the lack of anoma…
View article: AI-based satellite survey offers independent assessment of migratory wildebeest numbers in the Serengeti
AI-based satellite survey offers independent assessment of migratory wildebeest numbers in the Serengeti Open
The Great Wildebeest Migrationin the Serengeti-Mara ecosystem is a globally iconic wildlife phenomenon that supports the health and biodiversity of the region by supporting predator populations, regulating herbivore densities, and driving …
View article: Prey species richness and secondary forest among the key factors shaping Javan leopard distribution
Prey species richness and secondary forest among the key factors shaping Javan leopard distribution Open
Apex predators serve as ecological indicators of a landscape’s capacity to maintain ecological structure, function, and resilience. The Javan leopard (Panthera pardus melas G. Cuvier, 1809), an endangered subspecies endemic to Java, faces …
View article: Generalizability of local neural operator: example for elastodynamic problems
Generalizability of local neural operator: example for elastodynamic problems Open
Local neural operator (LNO) conception has provided a feasible way for scientific computations. The LNO learns transient partial differential equations from random field samples, and then the pre-trained LNO solves practical problems on sp…
View article: eDNA biodiversity from space: predicting soil bacteria and fungi alpha diversity in forests using DESIS satellite remote sensing
eDNA biodiversity from space: predicting soil bacteria and fungi alpha diversity in forests using DESIS satellite remote sensing Open
View article: Bounding box versus point annotation: The impact on deep learning performance for animal detection in aerial images
Bounding box versus point annotation: The impact on deep learning performance for animal detection in aerial images Open
View article: Fusing aerial photographs and airborne LiDAR data to improve the accuracy of detecting individual trees in urban and peri-urban areas
Fusing aerial photographs and airborne LiDAR data to improve the accuracy of detecting individual trees in urban and peri-urban areas Open
View article: Investigating LiDAR Metrics for Old-Growth Beech- and Spruce-Dominated Forest Identification in Central Europe
Investigating LiDAR Metrics for Old-Growth Beech- and Spruce-Dominated Forest Identification in Central Europe Open
Old-growth forests are essential for maintaining biodiversity, as they are formed by the complexity of diverse forest structures, such as broad variations in tree height and diameter (DBH) and conditions of living and dead trees, leading t…
View article: Future Extreme Climate Events Threaten Alpine and Subalpine Woody Plants in China
Future Extreme Climate Events Threaten Alpine and Subalpine Woody Plants in China Open
Increases in the frequency, intensity, and duration of extreme climate events (ECEs) are already impacting ecosystems, with many of the strongest effects associated with high‐elevation areas. Most research on the ecological impacts of clim…
View article: From Classroom to Innovation: Transformation and Practical Pathways of Entrepreneurship and Innovation Education Models in Higher Education
From Classroom to Innovation: Transformation and Practical Pathways of Entrepreneurship and Innovation Education Models in Higher Education Open
View article: Ensemble species distribution models reveal Javan leopard’s preference for areas with high prey species diversity
Ensemble species distribution models reveal Javan leopard’s preference for areas with high prey species diversity Open
Like many other large carnivores worldwide, the Javan leopard (Panthera pardus melas) faces significant threats from prey depletion due to human disturbance and habitat loss, yet the distribution of its prey across Java and the relationshi…
View article: Mitigating terrain shadows in very high-resolution satellite imagery for accurate evergreen conifer detection using bi-temporal image fusion
Mitigating terrain shadows in very high-resolution satellite imagery for accurate evergreen conifer detection using bi-temporal image fusion Open
Very high-resolution (VHR) optical satellite imagery offers significant potential for detailed land cover mapping. However, terrain shadows, which appear dark and lack texture and detail, are especially acute at low solar elevations. These…
View article: Non-destructive evaluation of thermal barrier coating structures using multi-physics fusion based on electromagnetic drive
Non-destructive evaluation of thermal barrier coating structures using multi-physics fusion based on electromagnetic drive Open
Thermal barrier coatings (TBCs) are widely used on turbine engines. The failure of TBCs will lead to financial losses or even life hazards, thereby necessitating the employment of non-destructive testing (NDT) methods to ensure structural …
View article: Mapping temperate old-growth forests in Central Europe using ALS and Sentinel-2A multispectral data
Mapping temperate old-growth forests in Central Europe using ALS and Sentinel-2A multispectral data Open
View article: Mapping off-road tracks and animal paths in protected areas using high-resolution GeoEye-1 panchromatic satellite imagery
Mapping off-road tracks and animal paths in protected areas using high-resolution GeoEye-1 panchromatic satellite imagery Open
Off-road driving activities are common in many protected areas. This study aimed at applying a curvelet-based approach for the automatic extraction, mapping and separation of off-road tracks and animal paths in Masai Mara National Reserve,…
View article: Range-wide camera traps reveal potential prey species for Javan leopards
Range-wide camera traps reveal potential prey species for Javan leopards Open
Prey depletion poses a threat to large carnivores worldwide. The Javan leopard (Panthera pardus melas), the last remaining apex predator on the Indonesian island of Java, is facing numerous threats from human activities including poaching,…
View article: Satellite hyperspectral imagery reveals scale dependence of functional diversity patterns in a Qinghai-Tibetan alpine meadow
Satellite hyperspectral imagery reveals scale dependence of functional diversity patterns in a Qinghai-Tibetan alpine meadow Open
Knowing how functional diversity varies across environmental gradients is crucial in investigating biodiversity formation and community assembly processes. The majority of studies concerning functional diversity are based on one fixed plot…
View article: Field estimation of fallen deadwood volume under different management approaches in two European protected forested areas
Field estimation of fallen deadwood volume under different management approaches in two European protected forested areas Open
Fallen deadwood is essential for biodiversity and nutrient cycling in forest ecosystems. In modern forest management, there is growing interest in developing accurate and efficient methods for field estimation of deadwood volume due to its…
View article: Island biogeography theory and the habitat heterogeneity jointly explain global patterns of Rhododendron diversity
Island biogeography theory and the habitat heterogeneity jointly explain global patterns of Rhododendron diversity Open
Mountain biodiversity is of great importance to biogeography and ecology. However, it is unclear what ecological and evolutionary processes best explain the generation and maintenance of its high levels of species diversity. In this study,…
View article: Elephants rest more when the poaching risk is high and do not recover the lost time within a diel cycle
Elephants rest more when the poaching risk is high and do not recover the lost time within a diel cycle Open
Poaching for ivory has caused disturbances in the behaviour of elephants. The nature and magnitude of such disturbance are not yet fully understood. Here, we studied the daily activity cycles of 10 elephants tracked for a minimum of two ye…
View article: Clinical characteristics and radiation therapy modality of younger patients with early-stage endometrial cancer, a multicenter study in China’s real world
Clinical characteristics and radiation therapy modality of younger patients with early-stage endometrial cancer, a multicenter study in China’s real world Open
Background Endometrial cancer is a prevalent gynecologic malignancy found in postmenopausal women. However, in the last two decades, the incidence of early-stage has doubled in women under 40 years old. This study aimed to investigate the …
View article: Satellite-based monitoring of the world’s largest terrestrial mammal migration using deep learning 
Satellite-based monitoring of the world’s largest terrestrial mammal migration using deep learning  Open
Accurate, reliable, and up-to-date information on wildlife populations is crucial for biodiversity conservation in the face of unprecedented biodiversity loss worldwide. However, monitoring wildlife populations at large scales remains chal…
View article: An enhanced algorithm for co-registering individual trees extracted from airborne LiDAR and aerial photographs
An enhanced algorithm for co-registering individual trees extracted from airborne LiDAR and aerial photographs Open
As fine-resolution remotely sensed data rapidly evolves, individual trees are increasingly becoming a prevailing unit of analysis in many scientific disciplines such as forestry, ecology, and urban planning. Fusion of airborne LiDAR and ae…
View article: A review of deep learning techniques for detecting animals in aerial and satellite images
A review of deep learning techniques for detecting animals in aerial and satellite images Open
Deep learning is an effective machine learning method that in recent years has been successfully applied to detect and monitor species population in remotely sensed data. This study aims to provide a systematic literature review of current…