4.7 Article

Augmentation-Based Methodology for Enhancement of Trees Map Detalization on a Large Scale

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Information Systems

XtremeAugment: Getting More From Your Data Through Combination of Image Collection and Image Augmentation

Sergey Nesteruk et al.

Summary: This article introduces the comprehensive framework XtremeAugment, which addresses the problem of small training datasets in computer vision tasks. The framework provides a simple, reliable, and scalable way to collect and augment image datasets using hardware dataset augmentation and object-based augmentation techniques, leading to improved model accuracy and stability.

IEEE ACCESS (2022)

Review Geography, Physical

Review on Convolutional Neural Networks (CNN) in vegetation remote sensing

Teja Kattenborn et al.

Summary: Identifying and characterizing vascular plants in time and space is essential for various disciplines such as forestry, conservation, and agriculture. Remote sensing technology, specifically utilizing deep learning methods like Convolutional Neural Networks (CNN), is crucial in improving efficiency and accuracy in extracting vegetation properties from remote sensing imagery. The modularity and flexibility of CNN frameworks allow for adaptation to different architectures, particularly for multi-modal or multi-temporal applications, ultimately leading to a new era of vegetation remote sensing.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2021)

Article Forestry

Tree Species Mapping on Sentinel-2 Satellite Imagery with Weakly Supervised Classification and Object-Wise Sampling

Svetlana Illarionova et al.

Summary: This study aims to enhance tree species classification based on a neural network approach providing automatic markup adjustment and improving sampling technique. For forest species markup adjustment, weakly supervised learning approach is proposed based on the knowledge of dominant species content within each stand, and the commonly used CNN sampling approach is substituted with the object-wise one to reduce the effect of the spatial distribution of forest stands.

FORESTS (2021)

Article Ecology

Amazon forest cover change mapping based on semantic segmentation by U-Nets

L. Bragagnolo et al.

Summary: Deforestation is a major concern for climate change and biodiversity conservation. New image processing techniques and high-resolution satellite imagery offer an unprecedented opportunity for developing effective forest cover change monitoring systems. The U-Net architecture shows high accuracy and outperforms traditional image classification methods, indicating its potential for efficient forest cover monitoring and real-time deforestation warning systems.

ECOLOGICAL INFORMATICS (2021)

Article Forestry

Are we ready for a National Forest Information System? State of the art of forest maps and airborne laser scanning data availability in Italy

Giovanni D'Amico et al.

Summary: This study aimed to review the availability of forest maps and ALS data in Italy, and to develop a high resolution forest mask and Canopy Height Model. The resulting forest mask is currently the best available for Italy, but only 63% of the country's territory (60% of the forest area) is covered by ALS data, highlighting the urgent need for a national strategy to complete the availability of forest data in Italy.

IFOREST-BIOGEOSCIENCES AND FORESTRY (2021)

Article Multidisciplinary Sciences

Trees outside forests are an underestimated resource in a country with low forest cover

Nathan Thomas et al.

Summary: The study revealed that Bangladesh has a significant amount of Trees outside forests (TOF) with an average canopy height of 7.3 meters, mapping 31% and 53% more TOF than existing estimates of TOF and forest, respectively. Despite being fragmented due to agricultural activities, TOF in Bangladesh is capable of maintaining connectivity between different stands.

SCIENTIFIC REPORTS (2021)

Article Forestry

Direct Measurement of Forest Degradation Rates in Malawi: Toward a National Forest Monitoring System to Support REDD

David L. Skole et al.

Summary: Spatial time-series measurements of forest degradation rates are crucial for estimating national greenhouse gas emissions, but have been difficult to obtain for open forests and woodlands. This study in Malawi has produced a new forest map, as well as measurements of forest degradation and deforestation, contributing to the development of tools for calculating carbon emissions and increasing readiness for REDD+ in semi-arid Africa.

FORESTS (2021)

Article Remote Sensing

Countrywide mapping of trees outside forests based on remote sensing data in Switzerland

Eylul Malkoc et al.

Summary: The study aims to fill the spatial information gap of Trees Outside Forests (TOF) resources at the national scale through an automated mapping approach based on the UNFAO-FRA definitions. Results show varying accuracy across different regions in Switzerland, with the application of biophysical thresholds influencing error types. The final TOF map produced by the approach covers the entire country, surpasses existing information, and meets management and reporting needs while allowing for biomass, carbon sequestration potential, and species distribution derivation.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2021)

Article Engineering, Electrical & Electronic

LiDAR-Based Stable Navigable Region Detection for Unmanned Surface Vehicles

Yunxiao Shan et al.

Summary: This article proposes a new method for detecting navigable regions using 3D LiDAR data, which involves deep learning for semantic segmentation, KF tracking for bank object tracking, and WFD modeling for navigable regions. Experimental results demonstrate superior performance compared to other methods.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)

Article Engineering, Electrical & Electronic

Neural-Based Hierarchical Approach for Detailed Dominant Forest Species Classification by Multispectral Satellite Imagery

Svetlana Illarionova et al.

Summary: By utilizing multispectral satellite imagery and neural networks, the forest classification problem was addressed as an image segmentation task, represented as a hierarchical set of binary classification tasks, to achieve better results.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2021)

Article Engineering, Electrical & Electronic

RetinaNet With Difference Channel Attention and Adaptively Spatial Feature Fusion for Steel Surface Defect Detection

Xun Cheng et al.

Summary: The study introduces a new deep neural network model, DEA_RetinaNet, for steel surface defect detection, which utilizes methods like differential evolution search-based anchor optimization and channel attention mechanism to improve detection accuracy and achieve better recognition performance.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)

Article Environmental Sciences

Use of SAR and Optical Time Series for Tropical Forest Disturbance Mapping

Manuela Hirschmugl et al.

REMOTE SENSING (2020)

Article Environmental Sciences

Monitoring Bark Beetle Forest Damage in Central Europe. A Remote Sensing Approach Validated with Field Data

Angel Fernandez-Carrillo et al.

REMOTE SENSING (2020)

Article Environmental Sciences

Automated Production of a Land Cover/Use Map of Europe Based on Sentinel-2 Imagery

Radek Malinowski et al.

REMOTE SENSING (2020)

Article Computer Science, Information Systems

Albumentations: Fast and Flexible Image Augmentations

Alexander Buslaev et al.

INFORMATION (2020)

Article Agriculture, Multidisciplinary

Crop yield prediction with deep convolutional neural networks

Petteri Nevavuori et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)

Article Environmental Sciences

Recent Forest Cover Loss in the Core Zones of the Monarch Butterfly Biosphere Reserve in Mexico

Jose Juan Flores-Martinez et al.

FRONTIERS IN ENVIRONMENTAL SCIENCE (2019)

Article Computer Science, Artificial Intelligence

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Liang-Chieh Chen et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)

Article Geochemistry & Geophysics

A Forest Vitality and Change Monitoring Tool Based on RapidEye Imagery

Alexander Marx et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2017)

Review Biodiversity Conservation

Remote sensing of forest degradation in Southeast Asia-Aiming for a regional view through 5-30 m satellite data

Jukka Miettinen et al.

GLOBAL ECOLOGY AND CONSERVATION (2014)

Article Environmental Sciences

Comparing annual MODIS and PRODES forest cover change data for advancing monitoring of Brazilian forest cover

Matthew C. Hansen et al.

REMOTE SENSING OF ENVIRONMENT (2008)