Evaluation of red-edge features for identifying subtropical tree species based on Sentinel-2 and Gaofen-6 time series-Reference-Cited by-同舟云学术

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Evaluation of red-edge features for identifying subtropical tree species based on Sentinel-2 and Gaofen-6 time series

Published:2022-04-18 Issue:8 Volume:43 Page:3003-3027
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Yu Wanwan¹,Zhao Ping¹²,Xu Kaijian¹²³^ORCID,Zhao Yuejiao¹,Shen Pengju¹,Ma Jingjing¹

Affiliation:

1. School of Resources and Environmental Engineering, Hefei University of Technology, Hefei, China

2. Institute for Spatial Information Intelligence Analysis and Application, Hefei University of Technology, Hefei, China

3. Intelligent Interconnected Systems Laboratory of Anhui Province (Hefei University of Technology), Hefei, China

Funder

Anhui Provincial Natural Science Foundation

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2022.2079018

Reference79 articles.

1. Mapping forest structural heterogeneity of tropical montane forest remnants from airborne laser scanning and Landsat time series

2. Spectranomics: Emerging science and conservation opportunities at the interface of biodiversity and remote sensing

3. Tree species classification using Sentinel-2 imagery and Bayesian inference

4. Red Edge Index as an Indicator of Vegetation Growth and Vigor Using Hyperspectral Remote Sensing Data

5. Random forest in remote sensing: A review of applications and future directions

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2. Constructing a eucalyptus identification model based on NDVI time-series remote sensing images;CATENA;2024-04

3. Nationwide Tree Species Mapping in Germany with Forestformer: Assessing Forest Resilience and Unveiling Distribution Patterns;2024

4. Identification of tea plantations in typical plateau areas with the combination of Sentinel-1/2 optical and radar remote sensing data based on feature selection algorithm;International Journal of Remote Sensing;2023-04-12

5. Improving Leaf Area Index Estimation With Chlorophyll Insensitive Multispectral Red-Edge Vegetation Indices;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

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