Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Martin Wegmann"'
Autor:
Xuyuan E. Ai, Lena M. Thöle, Alexandra Auderset, Mareike Schmitt, Simone Moretti, Anja S. Studer, Elisabeth Michel, Martin Wegmann, Alain Mazaud, Peter K. Bijl, Daniel M. Sigman, Alfredo Martínez-García, Samuel L. Jaccard
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-12 (2024)
Abstract Previous studies suggest that meridional migrations of the Antarctic Circumpolar Current may have altered wind-driven upwelling and carbon dioxide degassing in the Southern Ocean during past climate transitions. Here, we report a quantitativ
Externí odkaz:
https://doaj.org/article/49301435a23546558db055422a37108f
Autor:
Martin Wegmann, Fernando Jaume-Santero
Publikováno v:
Communications Earth & Environment, Vol 4, Iss 1, Pp 1-12 (2023)
Abstract Understanding monthly-to-annual climate variability is essential for adapting to future climate extremes. Key ways to do this are through analysing climate field reconstructions and reanalyses. However, producing such reconstructions can be
Externí odkaz:
https://doaj.org/article/3632d8022f74404b8cfa2107013a29bf
Autor:
Lena M Thöle, Martin Wegmann
Publikováno v:
Environmental Research Letters, Vol 19, Iss 12, p 122001 (2024)
The pivotal role of climate science in advancing the UN Sustainable Development Goals underscores the urgent need for ample and open climate data sharing. While numerous large-scale endeavours highlight the efficacy of open climate data, we often enc
Externí odkaz:
https://doaj.org/article/01ca7f4421144b4c8eebbb7f78ff23f6
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 6, Iss 1, Pp 93-104 (2020)
Abstract Land cover is a key variable in monitoring applications and new processing technologies made deriving this information easier. Yet, classification algorithms remain dependent on samples collected on the field and field campaigns are limited
Externí odkaz:
https://doaj.org/article/fcbc7840582a460a890cad1956cc6b56
Publikováno v:
Remote Sensing, Vol 14, Iss 8, p 1907 (2022)
An increasing amount of Brazilian rainforest is being lost or degraded for various reasons, both anthropogenic and natural, leading to a loss of biodiversity and further global consequences. Especially in the Brazilian state of Mato Grosso, soy produ
Externí odkaz:
https://doaj.org/article/d05719bf076e4b248bd8402da778d2cf
Publikováno v:
Remote Sensing, Vol 14, Iss 7, p 1595 (2022)
In most countries, freight is predominantly transported by road cargo trucks. We present a new satellite remote sensing method for detecting moving trucks on roads using Sentinel-2 data. The method exploits a temporal sensing offset of the Sentinel-2
Externí odkaz:
https://doaj.org/article/6f00db68e1d44a4385cc43ffd27df7e4
Publikováno v:
Remote Sensing, Vol 13, Iss 9, p 1845 (2021)
Forest systems provide crucial ecosystem functions to our environment, such as balancing carbon stocks and influencing the local, regional and global climate. A trend towards an increasing frequency of climate change induced extreme weather events, i
Externí odkaz:
https://doaj.org/article/b5e9635677c04c59abb1578cc01c0a79
Publikováno v:
Remote Sensing, Vol 12, Iss 24, p 4048 (2020)
The monitoring of land cover and land use change is critical for assessing the provision of ecosystem services. One of the sources for long-term land cover change quantification is through the classification of historical and/or current maps. Little
Externí odkaz:
https://doaj.org/article/7e92b4d603de4be0b9f50d1610c7db65
Autor:
Sarah Malec, Derek Rogge, Uta Heiden, Arturo Sanchez-Azofeifa, Martin Bachmann, Martin Wegmann
Publikováno v:
Remote Sensing, Vol 7, Iss 9, Pp 11776-11800 (2015)
Soil erosion can be linked to relative fractional cover of photosynthetic-active vegetation (PV), non-photosynthetic-active vegetation (NPV) and bare soil (BS), which can be integrated into erosion models as the cover-management C-factor. This study
Externí odkaz:
https://doaj.org/article/366928ccaa92477ca20b782cfcb6a90f
Publikováno v:
Parasites & Vectors, Vol 8, Iss 1, Pp 1-16 (2015)
Abstract Background Schistosomiasis is a water-based disease that affects an estimated 250 million people, mainly in sub-Saharan Africa. The transmission of schistosomiasis is spatially and temporally restricted to freshwater bodies that contain schi
Externí odkaz:
https://doaj.org/article/5b8a3c2b13b4440da965f8c72436ea61