Cargando…

An Improved Multi-temporal and Multi-feature Tea Plantation Identification Method Using Sentinel-2 Imagery

As tea is an important economic crop in many regions, efficient and accurate methods for remotely identifying tea plantations are essential for the implementation of sustainable tea practices and for periodic monitoring. In this study, we developed and tested a method for tea plantation identificati...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhu, Jun, Pan, Ziwu, Wang, Hang, Huang, Peijie, Sun, Jiulin, Qin, Fen, Liu, Zhenzhen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6540259/ https://www.ncbi.nlm.nih.gov/pubmed/31060327 http://dx.doi.org/10.3390/s19092087

Ejemplares similares

Monitoring tea plantations during 1990–2022 using multi-temporal satellite data in Assam (India)
por: Parida, Bikash Ranjan, et al.
Publicado: (2023)

Research on remote sensing classification of fruit trees based on Sentinel-2 multi-temporal imageries
por: Zhou, Xin-Xing, et al.
Publicado: (2022)

Predation Pressure in Tea (Camellia sinensis) Plantations in Southeastern China Measured by the Sentinel Prey Method
por: Imboma, Titus S., et al.
Publicado: (2020)

Optimal Bands Combination Selection for Extracting Garlic Planting Area with Multi-Temporal Sentinel-2 Imagery
por: Wu, Shuang, et al.
Publicado: (2021)

Potential to Reduce Chemical Fertilizer Application in Tea Plantations at Various Spatial Scales
por: Xie, Shaowen, et al.
Publicado: (2022)

Estimation of air temperature and the mountain-mass effect in the Yellow River Basin using multi-source data
por: Pan, Ziwu, et al.
Publicado: (2021)

Molecular identification of spiders preying on Empoasca vitis in a tea plantation
por: Yang, Ting-bang, et al.
Publicado: (2017)

Evaluation of important phenotypic parameters of tea plantations using multi-source remote sensing data
por: Li, He, et al.
Publicado: (2022)

Multi-Feature Classification of Multi-Sensor Satellite Imagery Based on Dual-Polarimetric Sentinel-1A, Landsat-8 OLI, and Hyperion Images for Urban Land-Cover Classification
por: Zhou, Tao, et al.
Publicado: (2018)

A checklist of spiders in tea plantations of China
por: Song, Xuhao, et al.
Publicado: (2020)

Neural Decoding of Multi-Modal Imagery Behavior Focusing on Temporal Complexity
por: Furutani, Naoki, et al.
Publicado: (2020)

HPLC and high-throughput sequencing revealed higher tea-leaves quality, soil fertility and microbial community diversity in ancient tea plantations: compared with modern tea plantations
por: Yang, Guangrong, et al.
Publicado: (2022)

Plant Availability of Magnesium in Typical Tea Plantation Soils
por: Zhang, Qunfeng, et al.
Publicado: (2021)

Automated Geo/Co-Registration of Multi-Temporal Very-High-Resolution Imagery
por: Han, Youkyung, et al.
Publicado: (2018)

Inversion of Lake Bathymetry through Integrating Multi-Temporal Landsat and ICESat Imagery
por: Long, Yuannan, et al.
Publicado: (2019)

Phenomic selection in slash pine multi-temporally using UAV-multispectral imagery
por: Li, Yanjie, et al.
Publicado: (2023)

Evaluation of Selected Plant Volatiles as Attractants for the Stick Tea Thrip Dendrothrips minowai in the Laboratory and Tea Plantation
por: Xiu, Chunli, et al.
Publicado: (2022)

Tea production characteristics of tea growers (plantations and smallholdings) and livelihood dimensions of tea workers in Assam, India
por: Biggs, Eloise M., et al.
Publicado: (2018)

Occurrence and Distribution of Apolygus lucorum on Weed Hosts and Tea Plants in Tea Plantation Ecosystems
por: Tian, Yueyue, et al.
Publicado: (2019)

Continuous identification of the tea shoot tip and accurate positioning of picking points for a harvesting from standard plantations
por: Luo, Kun, et al.
Publicado: (2023)

Determination of heavy metals in the soils of tea plantations and in fresh and processed tea leaves: an evaluation of six digestion methods
por: Rashid, Md. Harunur, et al.
Publicado: (2016)

Automated Landslides Detection for Mountain Cities Using Multi-Temporal Remote Sensing Imagery
por: Chen, Zhong, et al.
Publicado: (2018)

Temporal Combination Pattern Optimization Based on Feature Selection Method for Motor Imagery BCIs
por: Jiang, Jing, et al.
Publicado: (2020)

Improving grain yield prediction through fusion of multi-temporal spectral features and agronomic trait parameters derived from UAV imagery
por: Zhou, Hongkui, et al.
Publicado: (2023)

Monitoring Powdery Mildew of Winter Wheat by Using Moderate Resolution Multi-Temporal Satellite Imagery
por: Zhang, Jingcheng, et al.
Publicado: (2014)

Detecting Aquatic Vegetation Changes in Taihu Lake, China Using Multi-temporal Satellite Imagery
por: Ma, Ronghua, et al.
Publicado: (2008)

Tea plantations and their importance as host plants and hot spots for epiphytic cryptogams
por: Wolski, Grzegorz J., et al.
Publicado: (2021)

Role of tea plantations in the maintenance of bird diversity in Anji County, China
por: Wu, Jueying, et al.
Publicado: (2023)

Bamboo charcoal affects soil properties and bacterial community in tea plantations
por: Zhang, Si-Hai, et al.
Publicado: (2023)

Are Yellow Sticky Cards and Light Traps Effective on Tea Green Leafhoppers and Their Predators in Chinese Tea Plantations?
por: Shi, Longqing, et al.
Publicado: (2020)

Activity Patterns, Population Dynamics, and Spatial Distribution of the Stick Tea Thrips, Dendrothrips minowai, in Tea Plantations
por: Zhang, Fengge, et al.
Publicado: (2023)

Microsatellite markers from tea green leafhopper Empoasca (Matsumurasca) onukii: a powerful tool for studying genetic structure in tea plantations
por: Zhang, Li, et al.
Publicado: (2016)

Crop Water Content of Winter Wheat Revealed with Sentinel-1 and Sentinel-2 Imagery
por: Han, Dong, et al.
Publicado: (2019)

The perceptual processing of fused multi-spectral imagery
por: Fox, Elizabeth L., et al.
Publicado: (2016)

Cow manure application effectively regulates the soil bacterial community in tea plantation
por: Zhang, Shuning, et al.
Publicado: (2020)

Carbon dynamics and environmental controls of a hilly tea plantation in Southeast China
por: Pang, Jiaping, et al.
Publicado: (2019)

Increased Tea Saponin Content Influences the Diversity and Function of Plantation Soil Microbiomes
por: Zhang, Shouke, et al.
Publicado: (2022)

Improved SVM-Based Soil-Moisture-Content Prediction Model for Tea Plantation
por: Huang, Ying
Publicado: (2023)

Recognition of EEG Signal Motor Imagery Intention Based on Deep Multi-View Feature Learning
por: Xu, Jiacan, et al.
Publicado: (2020)

Remote Sensing Imagery Super Resolution Based on Adaptive Multi-Scale Feature Fusion Network
por: Wang, Xinying, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_l522sugmb8arivvmcv5obgq4kr