Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Honggan Wu"'
Publikováno v:
Remote Sensing, Vol 16, Iss 23, p 4590 (2024)
Due to the significant threat to forest health posed by beetle infestations on pine trees, timely and accurate predictions are crucial for effective forest management. This study developed a pine tree stress probability prediction workflow based on m
Externí odkaz:
https://doaj.org/article/bd386a62d5b34d67adaa5b1ab1c320ca
Publikováno v:
Remote Sensing Letters. 11:650-658
After an attack the by pine wood nematode, pine tree needles turn red. Using convolutional neural networks (CNNs) based object detection methods, machines can detect red-attacked trees. However, mo...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c8a87600981bf9122ce6ca8a93e992b
https://doi.org/10.1080/2150704x.2020.1752410
https://doi.org/10.1080/2150704x.2020.1752410
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 15:739-743
The objective of this letter is to investigate and demonstrate potential accuracy improvements in land cover classification using Landsat data, by integrating time-series features with a specially designed classification method. We present a new fram
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07f2d809a283d9eae5f6c6e2ec092c1e
https://doi.org/10.1109/lgrs.2018.2805715
https://doi.org/10.1109/lgrs.2018.2805715
Publikováno v:
Journal of Forestry Research. 27:1407-1414
Recent advances in information and communication technologies, such as mobile Internet and smartphones, have created new paradigms for participatory environment monitoring. The ubiquitous mobile phones with capabilities such as a global positioning s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2f90efcbbd122854daed7fd82e64ad2
https://doi.org/10.1007/s11676-016-0230-5
https://doi.org/10.1007/s11676-016-0230-5
Publikováno v:
Remote Sensing Letters. 7:378-387
Gaofen-2 (GF-2), a Chinese new-generation satellite launched in August 2014, is providing high-resolution imagery for Earth observation. In this study, GF-2 imagery was employed for mapping forest cover in the core area of Tongzhou district, Beijing,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc9da409c6376d88051272cb9014dc97
https://doi.org/10.1080/2150704x.2016.1142682
https://doi.org/10.1080/2150704x.2016.1142682
Autor:
Shuang Li, Honggan Wu
Publikováno v:
Remote Sensing Letters. 6:657-666
Karst rocky desertification (KRD) is a serious ecological problem in southwest China. Various remote sensing techniques are available for investigating KRD. Landsat 8 Operational Land Imager (OLI) data, acquired in September (summer) 2013 and January
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3513be7c7c82b45a88518db08e8d8b3e
https://doi.org/10.1080/2150704x.2015.1070315
https://doi.org/10.1080/2150704x.2015.1070315
Publikováno v:
International Journal of Remote Sensing. 36:3701-3713
A spatial feature extraction method was applied to increase the accuracy of land-cover classification of forest type information extraction. Traditional spatial feature extraction applications use high-resolution images. However, improving the classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ce4c55a957fe0500f56536f0cb74fdb
https://doi.org/10.1080/01431161.2015.1047992
https://doi.org/10.1080/01431161.2015.1047992
Autor:
Ruofei Zhong, Jingguo Zhu, Jianxi Huang, Meng-lin Li, Wei Su, Honggan Wu, Dehai Zhu, Zhongping Sun, Ke-shu Zhang
Publikováno v:
International Journal of Remote Sensing. 36:3616-3635
Recent advances in laser scanning hardware have allowed rapid generation of high-resolution digital terrain models DTMs for large areas. However, the automatic discrimination of ground and non-ground light detection and ranging lidar points in areas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7aed4ef83ba9dd1ef1f2a995656ac6c
https://doi.org/10.1080/01431161.2015.1065356
https://doi.org/10.1080/01431161.2015.1065356
Autor:
Muyao Shi, Honggan Wu
Publikováno v:
Remote Sensing Letters. 6:478-487
The paper presents the capabilities of China’s GF-1 satellite for the detection of forest defoliation caused by Hyphantria cunea in the border region between Tianjin City and Hebei Province of China in 2013 to support ground surveys and designing s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6f2d58be1f0d7d6e1e89f85041813ac
https://doi.org/10.1080/2150704x.2015.1047043
https://doi.org/10.1080/2150704x.2015.1047043
Publikováno v:
International Journal of Remote Sensing. 34:8518-8533
A modified maximum-likelihood ML classifier was applied to increase the accuracy of land-cover classification over a complex mountain landscape. The traditional ML classifier is a robust parametric approach in remote-sensing image classification. How
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb560e32c5a73095394ec9685a08990b
https://doi.org/10.1080/01431161.2013.843805
https://doi.org/10.1080/01431161.2013.843805