CaR3DMIC: A novel method for evaluating UAV-derived 3D forest models by tree features
1.1. Background Forest structural analysis can provide essential information to better
understand ecosystem dynamics (Bilek et al., 2011). For example, it enables identifying …
understand ecosystem dynamics (Bilek et al., 2011). For example, it enables identifying …
Improvements in forest segmentation accuracy using a new deep learning architecture and data augmentation technique
Forests are critical to mitigating global climate change and regulating climate through their
role in the global carbon and water cycles. Accurate monitoring of forest cover is, therefore …
role in the global carbon and water cycles. Accurate monitoring of forest cover is, therefore …
Susceptibility Map** of Unhealthy Trees in Jiuzhaigou Valley Biosphere Reserve
Jiuzhaigou Valley is recognized as both a world natural heritage site and a biosphere
reserve. Conducting research on vegetation health within its scope can provide a …
reserve. Conducting research on vegetation health within its scope can provide a …
Advancing Satellite-Derived Precipitation Downscaling in Data-Sparse Area Through Deep Transfer Learning
Improving the spatial resolution of satellite-based precipitation data is crucial in expanding
the application of quantitative precipitation estimation. Many machine-learning (ML)-based …
the application of quantitative precipitation estimation. Many machine-learning (ML)-based …
Knowledge-guided Machine Learning: Current Trends and Future Prospects
This paper presents an overview of scientific modeling and discusses the complementary
strengths and weaknesses of ML methods for scientific modeling in comparison to process …
strengths and weaknesses of ML methods for scientific modeling in comparison to process …
Explainable few-shot learning workflow for detecting invasive and exotic tree species
CM Gevaert, AA Pedro, O Ku, H Cheng… - arxiv preprint arxiv …, 2024 - arxiv.org
Deep Learning methods are notorious for relying on extensive labeled datasets to train and
assess their performance. This can cause difficulties in practical situations where models …
assess their performance. This can cause difficulties in practical situations where models …
[PDF][PDF] Benchmarking Machine Learning for Satellite Precipitation Downscaling: Insights into Superiority, Advantages, and Transferability
H ZHU - 2024 - scholars.hkbu.edu.hk
Precipitation, as an essential component in the water cycle and energy balance, is the
primary force for the meteorological, hydrological, and ecological modeling. Thus, it is of …
primary force for the meteorological, hydrological, and ecological modeling. Thus, it is of …
融合多尺度特征的高分辨率森林遥感图像分割.
贾克斌， 何岩， 魏之皓 - Journal of Bei**g University of …, 2024 - search.ebscohost.com
摘摇要: 为实现对青海三江源国家级自然保护区高原森林的有效监测, 基于深度学**技术提出一
种融合多尺度特征的遥感图像分割算法. 首先, 构建了该地区首个2 m 空间分辨率的高原森林 …
种融合多尺度特征的遥感图像分割算法. 首先, 构建了该地区首个2 m 空间分辨率的高原森林 …
Fusing Multi-scale Features for Segmentation of High Resolution Forest Remote Sensing Images
To achieve the effective monitoring of plateau forests in the Sanjiangyuan National Nature
Reserve in Qinghai, a fusing multi-scale features remote sensing image segmentation …
Reserve in Qinghai, a fusing multi-scale features remote sensing image segmentation …