Zobrazeno 1 - 10
of 341
pro vyhledávání: '"Sentinel-1 SAR"'
Autor:
Yin Zhang, Ding-Feng Duan
Publikováno v:
Journal of Electronic Science and Technology, Vol 22, Iss 3, Pp 100263- (2024)
We estimate tree heights using polarimetric interferometric synthetic aperture radar (PolInSAR) data constructed by the dual-polarization (dual-pol) SAR data and random volume over the ground (RVoG) model. Considering the Sentinel-1 SAR dual-pol (SVV
Externí odkaz:
https://doaj.org/article/2ce2f14ba5d943698cb36733d453b586
Autor:
Kustiyo Kustiyo, Rokhmatuloh Rokhmatuloh, Adhi Harmoko Saputro, Dony Kushardono, Ratih Dewanti Dimyati, Lilik Budi Prasetyo
Publikováno v:
Journal of Natural Resources and Environmental Management, Vol 14, Iss 3 (2024)
Rice plays an essential role in ensuring the food security of Indonesia. Hence, rice (paddy) field monitoring using synthetic aperture radar (SAR) satellite data is critical, particularly in tropical regions. This study presents a new algorithm to de
Externí odkaz:
https://doaj.org/article/fd3be675707f49729931c7187d9308e5
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103991- (2024)
Flood detection in crisis and disaster management is significantly facilitated by the analysis of synthetic aperture radar (SAR) imagery. Traditional flood detection techniques focus more on SAR image pairs than on the optical level. However, the dis
Externí odkaz:
https://doaj.org/article/12459025e5974b31ba5c09dd872a98f9
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14471-14485 (2024)
Floods are among the world's worst natural disasters, causing significant damage to people, infrastructure, and the economy. Since synthetic aperture radar (SAR) can work in all weather and is not affected by clouds and rain, the use of SAR for flood
Externí odkaz:
https://doaj.org/article/98fa659d57684ef8a3cae0c60e4a8a41
Autor:
Stephane Mermoz, Juan Doblas Prieto, Milena Planells, David Morin, Thierry Koleck, Florian Mouret, Alexandre Bouvet, Thuy Le Toan, David Sheeren, Yousra Hamrouni, Thierry Belouard, Eric Paillassa, Marion Carme, Michel Chartier, Simon Martel, Jean-Baptiste Feret
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13743-13764 (2024)
Remote sensing satellites allow large-scale and fast detections of forest loss. Operational forest loss detection systems have been mainly developed over tropical forests; however, it is increasingly important to have access to accurate and up-to-dat
Externí odkaz:
https://doaj.org/article/9c5a706b04d544e396e73ec3931a8bca
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2329 (2024)
Snow cover and runoff play an important role in the Arctic environment, which is increasingly affected by climate change. Over the past 30 years, winter temperatures in northern Sweden have risen by 2 °C, accompanied by an increase in precipitation.
Externí odkaz:
https://doaj.org/article/51a4a25603354694b472ccea8597d67c
Autor:
Christian Albert Alonzo, Joanna Mae Galabay, Margadrew Nicole Macatangay, Mark Brianne Magpayo, Ryan Ramirez
Publikováno v:
AgriEngineering, Vol 5, Iss 2, Pp 720-739 (2023)
Drought has been known to be a natural hazard reflecting geographic and climatic characteristics. Satellite technology advancements have benefited drought assessment and monitoring to formulate plans for dealing with this slow-onset disaster. However
Externí odkaz:
https://doaj.org/article/9a9f3944f9a24a16988d018036560d5b
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 125, Iss , Pp 103548- (2023)
Satellite radar imaging has been used as a remote sensing tool for studying Earth’s surface. High spatial resolution achieved by Synthetic Aperture Radar (SAR) allows to classify landcover and, using radar interferometry, to measure topography and
Externí odkaz:
https://doaj.org/article/23a4b7e79d3341ae8725b2d2a7b3d052
Autor:
Koutilya PNVR, Varaprasad Bandaru
Publikováno v:
Smart Agricultural Technology, Vol 6, Iss , Pp 100347- (2023)
Satellite remote sensing methods have been proven to quantify the burnt areas resulting from different fire activities reliably. However, they were reported to perform poorly to identify crop residue burnt areas, particularly in smallholder systems d
Externí odkaz:
https://doaj.org/article/4249274784e6469e91621d2f83532791
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
Ocean wave swell generated in the vicinity of Campbell Island in the Southern Ocean is tracked along Great Circle paths across the Pacific Ocean. Data from a wave buoy at Campbell Island provides data on the directional spectrum in the generation reg
Externí odkaz:
https://doaj.org/article/1ecceb06ebdd489db5d52da1ce18d6d5