首页> 外文OA文献 >A Machine Learning Approach for Mapping Forest Vegetation in Riparian Zones in an Atlantic Biome Environment Using Sentinel-2 Imagery

【2h】

A Machine Learning Approach for Mapping Forest Vegetation in Riparian Zones in an Atlantic Biome Environment Using Sentinel-2 Imagery

机译：使用Sentinel-2图像在大西洋生物群系环境中碾压河流区森林植被的机器学习方法

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Danielle Elis Garcia Furuya; João Alex Floriano Aguiar; Nayara V. Estrabis; Mayara Maezano Faita Pinheiro; Michelle Taís Garcia Furuya; Danillo Roberto Pereira; Wesley Nunes Gonçalves; Veraldo Liesenberg; Jonathan Li; José Marcato Junior; Lucas Prado Osco; Ana Paula Marques Ramos;
展开▼
作者单位

展开▼
年度 2020
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. High-Resolution Vegetation Mapping in Japan by Combining Sentinel-2 and Landsat 8 Based Multi-Temporal Datasets through Machine Learning and Cross-Validation Approach [J] . Ram C. Sharma, Keitarou Hara, Ryutaro Tateishi Land . 2017,第3期

机译：通过机器学习和交叉验证方法将基于Sentinel-2和Landsat 8的多时相数据集相结合的日本高分辨率植被图
2. Crop type mapping using LiDAR, Sentinel-2 and aerial imagery with machine learning algorithms [J] . Adriaan Jacobus Prins, Adriaan Van Niekerk Geo-spatial information science . 2021,第2期

机译：使用LIDAR，Sentinel-2和带有机器学习算法的空中图像的作物类型映射
3. A Comparative Assessment of Ensemble-Based Machine Learning and Maximum Likelihood Methods for Mapping Seagrass Using Sentinel-2 Imagery in Tauranga Harbor, New Zealand [J] . International journal of applied mechanics . 2020,第3期

机译：基于集合的机器学习和绘制海草的最大似然方法的比较评估，新西兰陶兰加港的Sentinel-2图像映射海草
4. MAPPING RIPARIAN ZONES OVER LARGE REGIONS FROM HIGH SPATIAL RESOLUTION SATELLITE AND AIRBORNE IMAGERY: SPECIFICATIONS FOR OPERATIONAL MAPPING [C] . K. Johansen, S. Phinn International Society for Photogrammetry and Remote Sensing Hannover Workshop . 2009

机译：从高空间分辨率卫星和空降图像的大地区映射浦主区：操作绘图规范
5. Hydrological characterization of a riparian vegetation zone using high resolution multi-spectral airborne imagery. [D] . Akasheh, Osama Z. 2008

机译：利用高分辨率的多光谱机载影像对河岸植被带进行水文表征。
6. Comparison of Random Forest k-Nearest Neighbor and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery [O] . Phan Thanh Noi, Martin Kappas 2018

机译：使用Sentinel-2影像进行土地覆盖分类的随机森林k最近邻和支持向量机分类器的比较
7. High-Resolution Vegetation Mapping in Japan by Combining Sentinel-2 and Landsat 8 Based Multi-Temporal Datasets through Machine Learning and Cross-Validation Approach [O] . Ram Sharma, Keitarou Hara, Ryutaro Tateishi 2017

机译：通过机器学习和交叉验证方法将Sentinel-2和Landsat 8的多时间数据集结合在日本的高分辨率植被映射

A Machine Learning Approach for Mapping Forest Vegetation in Riparian Zones in an Atlantic Biome Environment Using Sentinel-2 Imagery

著录项

引文网络

相似文献

相关主题

期刊订阅