Zobrazeno 1 - 10
of 8 926
pro vyhledávání: '"forest mapping"'
Autor:
Liu, Bin1,2 (AUTHOR) liub@lreis.ac.cn, Yang, Xiaomei1,2 (AUTHOR) yangxm@lreis.ac.cn, Wang, Zhihua1,2 (AUTHOR) ddyx0111@gmail.com, Ding, Yaxin1,2 (AUTHOR) zhangjy@lreis.ac.cn, Zhang, Junyao1,2 (AUTHOR) mengdan0428@igsnrr.ac.cn, Meng, Dan1,2 (AUTHOR)
Publikováno v:
Remote Sensing. Sep2023, Vol. 15 Issue 18, p4584. 26p.
Autor:
Mullissa, Adugna, Saatchi, Sassan
Tropical forests play an important role in regulating the global carbon cycle and are crucial for maintaining the tropical forest biodiversity. Therefore, there is an urgent need to map the extent of tropical forest ecosystems. Recently, deep learnin
Externí odkaz:
http://arxiv.org/abs/2408.00107
Autor:
Purwanto, Anang Dwi1,2 (AUTHOR) anang_depe@yahoo.com, Wikantika, Ketut1 (AUTHOR), Deliar, Albertus1 (AUTHOR), Darmawan, Soni1,3 (AUTHOR), Harto, Agung Budi1 (AUTHOR), Khomarudin, Muhammad Rokhis2 (AUTHOR), Ardli, Erwin Riyanto4 (AUTHOR)
Publikováno v:
Journal of Spatial Science. Sep2024, Vol. 69 Issue 3, p1019-1045. 27p.
Autor:
Khaksar, Weria, Astrup, Rasmus
Forests, as critical components of our ecosystem, demand effective monitoring and management. However, conducting real-time forest inventory in large-scale and GNSS-interrupted forest environments has long been a formidable challenge. In this paper,
Externí odkaz:
http://arxiv.org/abs/2310.01064
Autor:
Francini, Saverio1,2 (AUTHOR) gherardo.chirici@unifi.it, Marcelli, Agnese3 (AUTHOR) agnese.marcelli@unitus.it, Chirici, Gherardo1,4 (AUTHOR), Di Biase, Rosa Maria2,5 (AUTHOR) lorenzo.fattorini@unisi.it, Fattorini, Lorenzo5 (AUTHOR), Corona, Piermaria6 (AUTHOR) piermaria.corona@crea.gov.it
Publikováno v:
Sensors (14248220). Jun2024, Vol. 24 Issue 12, p3947. 10p.
Deep learning (DL) models are gaining popularity in forest variable prediction using Earth Observation images. However, in practical forest inventories, reference datasets are often represented by plot- or stand-level measurements, while high-quality
Externí odkaz:
http://arxiv.org/abs/2308.05005
Autor:
Carpenter, Joshua1 (AUTHOR), Jung, Jinha1 (AUTHOR) jinha@purdue.edu, Oh, Sungchan2 (AUTHOR), Hardiman, Brady3,4 (AUTHOR), Fei, Songlin3 (AUTHOR)
Publikováno v:
Remote Sensing. Sep2022, Vol. 14 Issue 17, p4274. 26p.
Autor:
Martone, Michele1 (AUTHOR) michele.martone@dlr.de, Marino, Armando2 (AUTHOR) armando.marino@stir.ac.uk
Publikováno v:
Remote Sensing. Sep2023, Vol. 15 Issue 18, p4376. 4p.
Publikováno v:
European Journal of Remote Sensing, Vol 56, Iss 1 (2023)
ABSTRACTJiangxi Province boasts the second-highest forest coverage in China. Its forests play a crucial role in providing essential ecosystem services and maintaining the ecological health of the region. High-resolution and high-precision forest mapp
Externí odkaz:
https://doaj.org/article/9265fbf489394766bae94b11bc5d89ed
Autor:
Yang, Jianbo1,2,3,4 (AUTHOR), Liu, Detuan5 (AUTHOR), Li, Qian1,2,3 (AUTHOR), Wanasinghe, Dhanushka N.1,2 (AUTHOR), Zhai, Deli6 (AUTHOR), Zhao, Gaojuan6 (AUTHOR), Xu, Jianchu1,2,7 (AUTHOR) jxu@mail.kib.ac.cn
Publikováno v:
Remote Sensing. Oct2024, Vol. 16 Issue 19, p3687. 20p.