Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Philip Marzahn"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15463-15479 (2024)
High temporal soil moisture at field scale resolution (10 m–100 m) is important for smart farming decisions. Although, medium and coarse resolution (1 km–50 km) soil moisture information is operationally available on a large scale, high resolutio
Externí odkaz:
https://doaj.org/article/b32f9a8cbed445c4a6ebd7c846e760f0
Autor:
Hauke Hoppe, Peter Dietrich, Philip Marzahn, Thomas Weiß, Christian Nitzsche, Uwe Freiherr von Lukas, Thomas Wengerek, Erik Borg
Publikováno v:
Remote Sensing, Vol 16, Iss 9, p 1493 (2024)
Machine learning models are used to identify crops in satellite data, which achieve high classification accuracy but do not necessarily have a high degree of transferability to new regions. This paper investigates the use of machine learning models f
Externí odkaz:
https://doaj.org/article/a137e844dc1546c497f0ce7adcf54446
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 94, Iss , Pp 102234- (2021)
Multiple soil moisture (SM) products have been produced based on observations from microwave satellite sensors nowadays, allowing for the acquisition of global SM dynamics in a timely manner. Currently, only two blended microwave SM products, namely
Externí odkaz:
https://doaj.org/article/516cb5ddc66b4402adc1ac160b339a6f
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 88, Iss , Pp 102061- (2020)
The fraction of Absorbed Photosynthetically Active Radiation (fAPAR) is a crucial variable for assessing global carbon balances and currently, there is an urgent need for reference data to validate satellite-derived fAPAR products. However, it is wel
Externí odkaz:
https://doaj.org/article/8c79e856a42447d0b06088a3ce15a96b
Publikováno v:
Remote Sensing, Vol 14, Iss 2, p 380 (2022)
The fraction of absorbed photosynthetic active radiation (FAPAR) is an essential climate variable for assessing the productivity of ecosystems. Satellite remote sensing provides spatially distributed FAPAR products, but their accurate and efficient v
Externí odkaz:
https://doaj.org/article/ea5c9727d20f42cf818b572343551930
Publikováno v:
Remote Sensing, Vol 13, Iss 12, p 2320 (2021)
This study evaluates a temporally dense VV-polarized Sentinel-1 C-band backscatter time series (revisit time of 1.5 days) for wheat fields near Munich (Germany). A dense time series consisting of images from different orbits (varying acquisition) is
Externí odkaz:
https://doaj.org/article/8edecf0b60d741178d11c5aae956b165
Publikováno v:
Remote Sensing, Vol 13, Iss 9, p 1712 (2021)
Soil moisture is a key variable in the terrestrial water and energy system. This study presents an hourly index that provides soil moisture estimates on a high spatial and temporal resolution (1 km × 1 km). The long established Antecedent Precipitat
Externí odkaz:
https://doaj.org/article/2d7e90deeff5404f9c02ead542c76787
Autor:
Amarachi Kalu, Janja Vrzel, Sebastian Kolb, Juergen Karl, Philip Marzahn, Fabian Pfaffenberger, Ralf Ludwig
Publikováno v:
Energies, Vol 14, Iss 6, p 1534 (2021)
Clean energy for all, as listed in the United Nation’s SDG7, is a key component for sustainable environmental development. Therefore, it is imperative to uncover the environmental implications of alternative energy technologies. SustainableGAS proj
Externí odkaz:
https://doaj.org/article/4ab6740e911f4b079e5231872a06e4ed
Publikováno v:
Remote Sensing, Vol 12, Iss 18, p 3037 (2020)
This study aimed to analyze existing microwave surface (Oh, Dubois, Water Cloud Model “WCM”, Integral Equation Model “IEM”) and canopy (Water Cloud Model “WCM”, Single Scattering Radiative Transfer “SSRT”) Radiative Transfer (RT) mode
Externí odkaz:
https://doaj.org/article/1df1294f575849d188763f72c336d275
Autor:
Philip Marzahn, Swen Meyer
Publikováno v:
Remote Sensing, Vol 12, Iss 16, p 2660 (2020)
Land Surface Models (LSM) have become indispensable tools to quantify water and nutrient fluxes in support of land management strategies or the prediction of climate change impacts. However, the utilization of LSM requires soil and vegetation paramet
Externí odkaz:
https://doaj.org/article/97d708c174a1468384b5ed3d6f050fd9