Zobrazeno 1 - 10
of 141
pro vyhledávání: '"vegetation index (VI)"'
Publikováno v:
Information Processing in Agriculture, Vol 10, Iss 3, Pp 361-376 (2023)
Due to the worldwide population growth and the increasing needs for sugar-based products, accurate estimation of sugarcane biomass is critical to the precise monitoring of sugarcane growth. This research aims to find the imperative predictors corresp
Externí odkaz:
https://doaj.org/article/61f6153bdf654da1b6e316507f773ade
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 9977-9988 (2023)
Optical remote sensing offers a convenient method to monitor changes in mountain vegetation at regional and global scales, thanks to its synoptic coverage and frequent temporal sampling capabilities provided by satellite observations. However, local
Externí odkaz:
https://doaj.org/article/6d6c55cc0cb341648f765356f936c5be
Forest Volume Estimation Method Based on Allometric Growth Model and Multisource Remote Sensing Data
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 8900-8912 (2023)
The accurate forest volume is crucial for forest management, but rapid, large-scale, and high-accuracy estimation is still challenging. We proposed a method of coupling allometric growth model and multisource data for forest volume estimation (CAMFVe
Externí odkaz:
https://doaj.org/article/d4439d455d994e4194cc3dc5651fdc49
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 3568-3582 (2023)
As an essential vegetation biophysical trait that determines the plant's structure and photosynthetic capacity, characterizing of leaf area index (LAI) is important for vegetation growth and health monitoring. The empirical models based on vegetation
Externí odkaz:
https://doaj.org/article/eb855276f76841e791b0f7313315b398
Publikováno v:
Remote Sensing, Vol 15, Iss 23, p 5581 (2023)
The accuracy of vegetation indices (VIs) in estimating forest stand age is significantly inadequate due to insufficient consideration of the differences in the physiological functions of forest ecosystems, which limits the accuracy of carbon sink sim
Externí odkaz:
https://doaj.org/article/4d3414a848444bc889c08873d32a369f
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Estimating the crop leaf area index (LAI) accurately is very critical in agricultural remote sensing, especially in monitoring crop growth and yield prediction. The development of unmanned aerial vehicles (UAVs) has been significant in recent years a
Externí odkaz:
https://doaj.org/article/9c8ca166a9024783862d92e200469d5c
Autor:
Tianjun Wu, Jiancheng Luo, Lijing Gao, Yingwei Sun, Yingpin Yang, Ya'nan Zhou, Wen Dong, Xin Zhang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 9241-9253 (2021)
Grassland resources guarantee the balance of ecosystems and the sustainable development of animal husbandry. Spatial information is essential for grass resource management in pastoral areas, which can be extracted quickly on a large-scale by using re
Externí odkaz:
https://doaj.org/article/94207e68b9f84ca087850c68aa756c95
Autor:
Daniel Sousa, Christopher Small
Publikováno v:
Remote Sensing, Vol 15, Iss 4, p 971 (2023)
The monitoring of agronomic parameters like biomass, water stress, and plant health can benefit from synergistic use of all available remotely sensed information. Multispectral imagery has been used for this purpose for decades, largely with vegetati
Externí odkaz:
https://doaj.org/article/e3fe4b451bad442c9021680adecf2506
Autor:
Neda Abbasi, Hamideh Nouri, Kamel Didan, Armando Barreto-Muñoz, Sattar Chavoshi Borujeni, Christian Opp, Pamela Nagler, Prasad S. Thenkabail, Stefan Siebert
Publikováno v:
Remote Sensing, Vol 15, Iss 4, p 1017 (2023)
Precise knowledge of crop water consumption is essential to better manage agricultural water use, particularly in regions where most countries struggle with increasing water and food insecurity. Approaches such as cloud computing and remote sensing (
Externí odkaz:
https://doaj.org/article/a80290e512ca484491708a794fc515cd
Publikováno v:
Forests, Vol 13, Iss 5, p 691 (2022)
Remote sensing fractional vegetation cover (FVC) requires both finer-resolution and high-frequency in climate and ecosystem research. The increasing availability of finer-resolution (≤ 30 m) remote sensing data makes this possible. However, data fr
Externí odkaz:
https://doaj.org/article/be958fe95d5f4b87bfcda91a7b415fc7