Research on the identification of land types and tree species in the Engebei ecological demonstration area based on GF-1 remote sensing-Reference-Cited by-同舟云学术

Research on the identification of land types and tree species in the Engebei ecological demonstration area based on GF-1 remote sensing

Published:2023-11 Issue: Volume:77 Page:102242
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Zhang Jie,Zhang Yanyan,Zhou Tiantian,Sun Yi,Yang Zhichao,Zheng Shulin

Funder

Department of Education of Inner Mongolia Autonomous Region

Inner Mongolia Autonomous Region Department of Science and Technology

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modeling,Modeling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference56 articles.

1. Applying machine learning based on multiscale classifiers to detect remote phenology patterns in Cerrado savanna trees[J];Almeida;Ecol. Inform.,2014

2. The Forest Classification Combining Multidimensional Features Based on High-Resolution Remote Sensing Images.[D];Bai,2016

3. Research on Object-Oriented Multi-Level Classification Method of GF-2 Remote Sensing Image.[D];Bai,2020

4. Bark recognition to improve leaf-based classification in didactic tree species identification[C];Bertrand,2017

5. Statistical analysis of texture in trunk images for biometric identification of tree species[J];Bressane;Environ. Monit. Assess.,2015

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An enhanced chlorophyll estimation model with a canopy structural trait in maize crops: Use of multi-spectral UAV images and machine learning algorithm;Ecological Informatics;2024-11

2. Dynamic monitoring of ecological restoration of abandoned mines based on GF-2 remote sensing images- Take Dawukou Ditch of Helan Mountain as an example;Ecological Engineering;2024-10

3. Integration of Remote Sensing and Machine Learning for Precision Agriculture: A Comprehensive Perspective on Applications;Agronomy;2024-09-01

4. Tradeoffs among multi-source remote sensing images, spatial resolution, and accuracy for the classification of wetland plant species and surface objects based on the MRS_DeepLabV3+ model;Ecological Informatics;2024-07

5. Identifying soil groups and selecting a high-accuracy classification method based on multi-textural features with optimal window sizes using remote sensing images;Ecological Informatics;2024-07