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pro vyhledávání: '"Geo-information Science"'
Akademický článek
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Autor:
Chenglong Zhang, João Valente, Wensheng Wang, Leifeng Guo, Aina Tubau Comas, Pieter van Dalfsen, Bert Rijk, Lammert Kooistra
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing, 197, 256-273
ISPRS Journal of Photogrammetry and Remote Sensing 197 (2023)
ISPRS Journal of Photogrammetry and Remote Sensing 197 (2023)
A timely and accurate spatial inventory of flowering characteristics benefits both the floral phenology monitoring in ecology and various crop management activities in agricultural systems. Recent advancement has proven the superiority of computer vi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::feb3e2da04d52c9495e5934a88f471f9
https://doi.org/10.1016/j.isprsjprs.2023.02.003
https://doi.org/10.1016/j.isprsjprs.2023.02.003
Autor:
Juan Doblas Prieto, Lucas Lima, Stephane Mermoz, Alexandre Bouvet, Johannes Reiche, Manabu Watanabe, Sidnei Sant Anna, Yosio Shimabukuro
Publikováno v:
International Journal of Remote Sensing, 44(1), 59-77
International Journal of Remote Sensing 44 (2023) 1
International Journal of Remote Sensing 44 (2023) 1
More than half a decade after the launch of the Sentinel-1A C-band SAR satellite, several near real-time forest disturbances detection systems based on backscattering time series analysis have been developed and made operational. Every system has its
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d35952eedc3fedfea54b13330b9dc75
https://doi.org/10.1080/01431161.2022.2157684
https://doi.org/10.1080/01431161.2022.2157684
Autor:
Louise Terryn, Kim Calders, Markku Åkerblom, Harm Bartholomeus, Mathias Disney, Shaun Levick, Niall Origo, Pasi Raumonen, Hans Verbeeck
Publikováno v:
METHODS IN ECOLOGY AND EVOLUTION
Methods in Ecology and Evolution, 14(1), 231-241
Methods in Ecology and Evolution 14 (2023) 1
Methods in Ecology and Evolution, 14(1), 231-241
Methods in Ecology and Evolution 14 (2023) 1
Detailed 3D quantification of tree structure plays a crucial role in understanding tree- and plot-level biophysical processes. Light detection and ranging (LiDAR) has led to a revolution in tree structural measurements and its 3D data are increasingl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aba2e7a71fe8c719bb2d36cc8a99abe0
https://doi.org/10.1111/2041-210x.14026
https://doi.org/10.1111/2041-210x.14026
Autor:
David Brown, Sytze de Bruin, Kauê de Sousa, Amílcar Aguilar, Mirna Barrios, Néstor Chaves, Marvin Gómez, Juan Carlos Hernández, Lewis Machida, Brandon Madriz, Pablo Mejía, Leida Mercado, Mainor Pavón, Juan Carlos Rosas, Jonathan Steinke, José Gabriel Suchini, Verónica Zelaya, Jacob van Etten
Publikováno v:
Crop Science 62 (2022) 6
Crop Science, 62(6), 2246-2266
Crop Science, 62(6), 2246-2266
Location-specific information is required to support decision making in crop variety management, especially under increasingly challenging climate conditions. Data synthesis can aggregate data from individual trials to produce information that suppor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::482b3684e31b24e1334dc5bb61be2afb
https://doi.org/10.1002/csc2.20817
https://doi.org/10.1002/csc2.20817
Autor:
Hu Zhang, Jing Li, Qinhuo Liu, Shangrong Lin, Alfredo Huete, Liangyun Liu, Holly Croft, Jan G. P. W. Clevers, Yelu Zeng, Xiaohan Wang, Chenpeng Gu, Zhaoxing Zhang, Jing Zhao, Yadong Dong, Faisal Mumtaz, Wentao Yu
Publikováno v:
Methods in Ecology and Evolution, 13(12), 2771-2787
Methods in Ecology and Evolution 13 (2022) 12
Methods in Ecology and Evolution 13 (2022) 12
The leaf chlorophyll content (Chlleaf) is a crucial vegetation parameter in carbon cycle modelling and agricultural monitoring at local, regional and global scales. The red-edge spectral region is sensitive to variations in Chlleaf. An increasing num
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0f34c1386d86419039cc2fa534f18ea
https://doi.org/10.1111/2041-210x.13994
https://doi.org/10.1111/2041-210x.13994
Autor:
Ihor V. Kholoshyn, Iryna M. Varfolomyeyeva, Olena V. Hanchuk, Olga V. Bondarenko, Andrey V. Pikilnyak
Publikováno v:
Освітній вимір, Vol 1 (2019)
The article dwells upon the Earth remote sensing data as one of the basic directions of Geo-Information Science, a unique source of information on processes and phenomena occurring in almost all spheres of the Earth geographic shell (atmosphere, hydr
Externí odkaz:
https://doaj.org/article/0cb18c65c77345aabb3d9ee8fdb8da96
Publikováno v:
Remote Sensing in Ecology and Conservation
Remote Sensing in Ecology and Conservation (2023)
Remote Sensing in Ecology and Conservation (2023)
Characterization of regrowing forests is vital for understanding forest dynamics to assess the impacts on carbon stocks and to support sustainable forest management. Although remote sensing is a key tool for understanding and monitoring forest dynami
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96f9cdf0e4b51358c4cc924d6084c68a
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5019316
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5019316
