Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Johan E. S. Fransson"'
Publikováno v:
Remote Sensing, Vol 16, Iss 7, p 1143 (2024)
This paper introduces an AI-based approach to detect human-made objects and changes in these on land parcels. To this end, we used binary image classification performed by a convolutional neural network. Binary classification requires the selection o
Externí odkaz:
https://doaj.org/article/fb673df862714205b80a7a024311030f
Publikováno v:
Remote Sensing, Vol 16, Iss 5, p 840 (2024)
Unravelling slow ecosystem migration patterns requires a fundamental understanding of the broad-scale climatic drivers, which are further modulated by fine-scale heterogeneities just outside established ecosystem boundaries. While modern Unoccupied A
Externí odkaz:
https://doaj.org/article/cd7ddf577cdb457aa3b4cddc86690c6e
Publikováno v:
Remote Sensing, Vol 15, Iss 17, p 4195 (2023)
Site index and stand age are important variables in forestry. Site index describes the growing potential at a given location, expressed as the height that trees can attain at a given age under favorable growing conditions. It is traditionally used to
Externí odkaz:
https://doaj.org/article/b09a85d54b8d4108a866314c335cd4f0
Autor:
Ivan Huuva, Henrik J. Persson, Maciej J. Soja, Jörgen Wallerman, Lars M. H. Ulander, Johan E. S. Fransson
Publikováno v:
Canadian Journal of Remote Sensing, Vol 46, Iss 6, Pp 661-680 (2020)
Above-ground biomass change accumulated during four growth seasons in a hemi-boreal forest was predicted using airborne L- and P-band synthetic aperture radar (SAR) backscatter. The radar data were collected in the BioSAR 2007 and BioSAR 2010 campaig
Externí odkaz:
https://doaj.org/article/66676f9d85d444579b8686ee0b690b65
Autor:
Mozhgan Zahriban Hesari, Shaban Shataee, Yasser Maghsoudi, Jahangir Mohammadi, Johan E. S. Fransson, Henrik J. Persson
Publikováno v:
Canadian Journal of Remote Sensing, Vol 46, Iss 2, Pp 166-176 (2020)
The objective of this study was to estimate forest variables using TanDEM-X interferometric synthetic aperture radar (InSAR) data acquired over the Shastkalate forest of Gorgan in northern Iran. Inventory variables, including diameter at breast heigh
Externí odkaz:
https://doaj.org/article/26ddbb5003c34ac1ad4946b9a883397b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 6391-6400 (2020)
This article uses the two-level model (TLM) to predict above-ground biomass (AGB) from TanDEM-X synthetic aperture radar (SAR) data for Sweden. The SAR data were acquired between October 2015 and January 2016 and consisted of 420 scenes. The AGB was
Externí odkaz:
https://doaj.org/article/ff9d7a63fc3c40a2881f195f40746c74
Autor:
Nils Lindgren, Henrik J. Persson, Mattias Nyström, Kenneth Nyström, Anton Grafström, Anders Muszta, Erik Willén, Johan E. S. Fransson, Göran Ståhl, Håkan Olsson
Publikováno v:
Canadian Journal of Remote Sensing, Vol 43, Iss 4, Pp 374-383 (2017)
The statistical framework of data assimilation provides methods for utilizing new data for obtaining up-to-date forest data: existing forest data are forecasted and combined with each new remote sensing data set. This new paradigm for updating forest
Externí odkaz:
https://doaj.org/article/60662effd2b24f4c93040cb4c5e090fb
Publikováno v:
Remote Sensing, Vol 13, Iss 4, p 720 (2021)
With the rapid development of photogrammetric software and accessible camera technology, land surveys and other mapping organizations now provide various point cloud and digital surface model products from aerial images, often including spectral info
Externí odkaz:
https://doaj.org/article/2a60a82e76974559839736de5d458329
Publikováno v:
Remote Sensing, Vol 11, Iss 13, p 1563 (2019)
The simultaneous availability of observations from space by remote sensing platforms operating at multiple frequencies in the microwave domain suggests investigating their complementarity in thematic mapping and retrieval of biophysical parameters. I
Externí odkaz:
https://doaj.org/article/970ead02414d4c6e87fa36acc17f8765
Publikováno v:
Remote Sensing, Vol 4, Iss 6, Pp 1693-1715 (2012)
Advanced Land Observing Satellite (ALOS) Phased Array L-band type Synthetic Aperture Radar (PALSAR) backscatter images with 50 m pixel size (strip images) at HV-polarization were used to map clear-cuts at a regional and national level in Sweden. For
Externí odkaz:
https://doaj.org/article/d483090bfbdf4913a89510db618f03c7