Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects
Plant phenomics is a new avenue for linking plant genomics and environmental studies,
thereby improving plant breeding and management. Remote sensing techniques have …
thereby improving plant breeding and management. Remote sensing techniques have …
Remote sensing and forest inventories in Nordic countries–roadmap for the future
The Nordic countries have long traditions in forest inventory and remote sensing (RS). In
sample-based national forest inventories (NFIs), utilization of aerial photographs started …
sample-based national forest inventories (NFIs), utilization of aerial photographs started …
Imputation of Individual Longleaf Pine (Pinus palustris Mill.) Tree Attributes from Field and LiDAR Data
Abstract Light Detection and Ranging (LiDAR) has demonstrated potential for forest
inventory at the individual-tree level. The aim in this study was to predict individual-tree …
inventory at the individual-tree level. The aim in this study was to predict individual-tree …
[HTML][HTML] An international comparison of individual tree detection and extraction using airborne laser scanning
The objective of the “Tree Extraction” project organized by EuroSDR (European Spatial data
Research) and ISPRS (International Society of Photogrammetry and Remote Sensing) was …
Research) and ISPRS (International Society of Photogrammetry and Remote Sensing) was …
Estimating forest structural attributes using UAV-LiDAR data in Ginkgo plantations
K Liu, X Shen, L Cao, G Wang, F Cao - ISPRS journal of photogrammetry …, 2018 - Elsevier
Estimating forest structural attributes in planted forests is crucial for sustainably management
of forests and helps to understand the contributions of forests to global carbon storage. The …
of forests and helps to understand the contributions of forests to global carbon storage. The …
Evaluating tree detection and segmentation routines on very high resolution UAV LiDAR data
Light detection and Ranging (LiDAR) is becoming an increasingly used tool to support
decision-making processes within forest operations. Area-based methods that derive …
decision-making processes within forest operations. Area-based methods that derive …
Predicting individual tree attributes from airborne laser point clouds based on the random forests technique
This paper depicts an approach for predicting individual tree attributes, ie, tree height,
diameter at breast height (DBH) and stem volume, based on both physical and statistical …
diameter at breast height (DBH) and stem volume, based on both physical and statistical …
无人机遥感与XGBoost 的红树林物种分类
徐逸， 甄佳宁， 蒋侠朋， 王俊杰 - 遥感学报, 2021 - ygxb.ac.cn
无人机遥感数据会衍生大量的光谱, 纹理与结构特征, 如何提取优势特征是提高红树林物种分类
效率和精度的关键问题. 针对深圳福田红树林自然保护区缓冲区获取的无人机高光谱影像和 …
效率和精度的关键问题. 针对深圳福田红树林自然保护区缓冲区获取的无人机高光谱影像和 …
Prediction of species specific forest inventory attributes using a nonparametric semi-individual tree crown approach based on fused airborne laser scanning and …
While forest inventories based on airborne laser scanning data (ALS) using the area based
approach (ABA) have reached operational status, methods using the individual tree crown …
approach (ABA) have reached operational status, methods using the individual tree crown …
Deep learning for forest inventory and planning: a critical review on the remote sensing approaches so far and prospects for further applications
Data processing for forestry applications is challenged by the increasing availability of multi-
source and multi-temporal data. The advancements of Deep Learning (DL) algorithms have …
source and multi-temporal data. The advancements of Deep Learning (DL) algorithms have …