Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Zhigao Yang"'
Publikováno v:
Forests, Vol 15, Iss 3, p 456 (2024)
The estimation of forest above-ground biomass (AGB) can be significantly improved by leveraging remote sensing (RS) and deep learning (DL) techniques. In this process, it is crucial to obtain appropriate RS features and develop a suitable model. Howe
Externí odkaz:
https://doaj.org/article/539ea17cdee044a48c102ff626f2e9ea
Publikováno v:
Forests, Vol 14, Iss 10, p 1952 (2023)
Aimed at addressing deficiencies in existing image fusion methods, this paper proposed a multi-level and multi-classification generative adversarial network (GAN)-based method (MMGAN) for fusing visible and infrared images of forest fire scenes (the
Externí odkaz:
https://doaj.org/article/d7806a78e0464e2fa10bd4ac9fd320f8
Publikováno v:
Forests, Vol 14, Iss 9, p 1776 (2023)
Sentinel-2 serves as a crucial data source for monitoring forest cover change. In this study, a sub-pixel mapping of forest cover is performed on Sentinel-2 images, downscaling the spatial resolution of the positioned results to 2.5 m, enabling sub-p
Externí odkaz:
https://doaj.org/article/4b443e8ac59d46dfb2feafe5305bc7f1
Publikováno v:
Forests, Vol 14, Iss 3, p 485 (2023)
In order to locate forest fire smoke more precisely and expand existing forest fire monitoring methods, this research employed Himawari-8 data with a sub-pixel positioning concept in smoke detection. In this study, Himawari-8 data of forest fire smok
Externí odkaz:
https://doaj.org/article/630aa25308524935a08911af15d60865
Publikováno v:
Forests, Vol 13, Iss 12, p 2004 (2022)
The accurate and effective estimation of forest carbon density is an essential basis for effectively responding to climate change and achieving the goal of carbon neutrality. Aiming at the problem of the significant differences in the forest carbon m
Externí odkaz:
https://doaj.org/article/70d23610b0e5489ebdf895ce60c18758