Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Seung Kuk Lee"'
Autor:
Kyeong-Hun Cho, Seung-Kuk Lee
Publikováno v:
Geo Data, Vol 6, Iss 2, Pp 77-86 (2024)
The Global Ecosystem Dynamics Investigation (GEDI), a full-waveform light detection and ranging system, translated the energy into a continuous waveform and recorded the signals chronologically for enabling geometric analysis of the vertical structur
Externí odkaz:
https://doaj.org/article/3ad88104de88406eb81508b9a72fba29
Publikováno v:
Environmental Research Letters, Vol 13, Iss 2, p 025012 (2018)
Mangroves are ecologically and economically important forested wetlands with the highest carbon (C) density of all terrestrial ecosystems. Because of their exceptionally large C stocks and importance as a coastal buffer, their protection and restorat
Externí odkaz:
https://doaj.org/article/d3fdf6a19f92463489f35c68e1c78e88
Autor:
Su-Bin Ha, Yeongjae Jang, Jaehwan Seo, Keunyong Kim, Bon Joo Koo, Joo-Hyung Ryu, Seung-Kuk Lee
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1941 (2024)
Intertidal macroinvertebrates, such as crabs and mud shrimps, are invertebrates inhabiting the intertidal zone that are sufficiently large to be identified with the naked eye. Most intertidal macroinvertebrates typically construct burrows of various
Externí odkaz:
https://doaj.org/article/6831e5a35845490883abe4a71ea6a6a4
Autor:
Atticus E.L. Stovall, Temilola Fatoyinbo, Nathan M. Thomas, John Armston, Médard Obiang Ebanega, Marc Simard, Carl Trettin, Robert Vancelas Obiang Zogo, Igor Akendengue Aken, Michael Debina, Alphna Mekui Me Kemoe, Emmanuel Ondo Assoumou, Jun Su Kim, David Lagomasino, Seung-Kuk Lee, Jean Calvin Ndong Obame, Geldin Derrick Voubou, Chamberlain Zame Essono
Publikováno v:
Science of Remote Sensing, Vol 4, Iss , Pp 100034- (2021)
A recent suite of new global-scale satellite sensors and regional-scale airborne campaigns are providing a wealth of remote sensing data capable of dramatically advancing our current understanding of the spatial distribution of forest structure and c
Externí odkaz:
https://doaj.org/article/668ebb11030d48ff84fbfdd5a841e76c
Development of a Technique for Classifying Photovoltaic Panels Using Sentinel-1 and Machine Learning
Publikováno v:
Journal of Sensors. 2022:1-11
With the increasing interest in effective renewable alternative energy sources resulting from the Paris Agreement on Climate Change in 2015, photovoltaic (PV) power generation is attracting attention as a practical measure. In this study, we develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e92f25a316ea7c915dfac0e909c5b61
https://doi.org/10.1155/2022/1121971
https://doi.org/10.1155/2022/1121971
Publikováno v:
GEO DATA. 4:37-42
This study extracted the data of Digital Elevation Model (DEM), tidal channel, and tidal channel density, slope based on TanDEM-X satellite of Ganghwa tidal flat. Monitoring and analysis of the decrease in the area of tidal flats in Korea are of grea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da6940b7860adc66e3e3beaa5db55ff2
https://doi.org/10.22761/dj2022.4.1.004
https://doi.org/10.22761/dj2022.4.1.004
Publikováno v:
Remote Sensing, Vol 11, Iss 11, p 1346 (2019)
Radio Frequency Interference (RFI) is a growing problem in Synthetic Aperture Radar (SAR) systems as scientific motivations push the radars to lower frequencies and as more wireless services share the frequency spectrum. New, advanced SAR instruments
Externí odkaz:
https://doaj.org/article/56ba5f1a726d45c99e4960aa7fac3767
Publikováno v:
Remote Sensing, Vol 10, Iss 11, p 1702 (2018)
This study presents the retrieval of rice paddy height using single polarization (single-pol) interferometric SAR (InSAR) data by means of model-based height inversion without an external DEM. A total of eight TanDEM-X (TDX) scenes were used and the
Externí odkaz:
https://doaj.org/article/86372402428c44a3b5aa2c01084680a2
Autor:
Wenlu Qi, Matteo Pardini, Lola Fatoyinbo, John Armston, Seung-Kuk Lee, Marivi Tello, Ralph Dubayah, Victor Cazcarra Bes, Konstantinos Papathanassiou, Changhyun Choi
Publikováno v:
Surveys in Geophysics. 40:803-837
The estimation and monitoring of 3D forest structure at large scales strongly rely on the use of remote sensing techniques. Today, two of them are able to provide 3D forest structure estimates: lidar and synthetic aperture radar (SAR) configurations.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::578175466968f9a460e20964e5d40d92
https://doi.org/10.1007/s10712-019-09553-9
https://doi.org/10.1007/s10712-019-09553-9
Autor:
Emanuelle A. Feliciano, Shimon Wdowinski, Matthew D. Potts, Seung-Kuk Lee, Temilola E. Fatoyinbo
Publikováno v:
Remote Sensing, Vol 9, Iss 7, p 702 (2017)
Mangrove forests are important natural ecosystems due to their ability to capture and store large amounts of carbon. Forest structural parameters, such as canopy height and above-ground biomass (AGB), provide a good measure for monitoring temporal ch
Externí odkaz:
https://doaj.org/article/4892864df2be471dab9563b1c0bfeb5f