Zobrazeno 1 - 10
of 54
pro vyhledávání: '"C.C. Schmullius"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2021, Pp 127-134 (2021)
In this study, a dense Copernicus Sentinel-1 time series is analyzed to gain a better understanding of the influence of undergrowth vegetation, in particular of eagle fern (Pteridium aquilinum), on the C-band SAR signal in a temperate forest in the F
Radar-Crop-Monitor - Spatial Mapping Agricultural Conditions with Sentinel-1 Time Series - an Update
Autor:
M. Folsch, Nesrin Salepci, C.C. Schmullius, F. Scheible, Marcel Urban, L. Arslanova, Felix Cremer
Publikováno v:
IGARSS
This study explores the potential of Sentinel-1 time series for crop monitoring. In this study an attempt was made to use Copernicus Sentinel-1 time-series (backscatter & coherence) to map differences in crop development (growth) within fields, to de
Autor:
Ursula Gessner, M. M. Mueller, Buster Mogonong, Marcel Urban, Hilma Sevelia Nghiyalwa, C.C. Schmullius, G. Feig, Theunis Morgenthal, Kai Heckel, Andreas Hirner, Jussi Baade, Abel Ramoelo, J. Ziemer
Publikováno v:
IGARSS
The project “South African Land Degradation Monitor” (SALDi) contributes to the German-South African Programme “Science Partnerships for the Adaptation to Complex Earth System Processes in the Region of Southern Africa” (SPACES) by addressing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a66cc7e6fc3cd43e5e4f1bbd28644e0
https://doi.org/10.1109/igarss47720.2021.9553331
https://doi.org/10.1109/igarss47720.2021.9553331
Autor:
Marcel Urban, Christian Berger, Christian Thiel, Izak P.J. Smit, Corli Wigley-Coetsee, H. Lux, Jussi Baade, C.C. Schmullius
Publikováno v:
IGARSS
This study explores the potential of Landsat-8 and Sentinel-2 imagery for annual grass biomass mapping in savannas. To this end, three wet season image mosaics based on Landsat-8 and Sentinel-2 were created for 2016, 2017 and 2018 over Kruger Nationa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d03cc2fa003d5a752e51aa01c54a656
https://elib.dlr.de/139902/
https://elib.dlr.de/139902/
Autor:
Jussi Baade, Andreas Kaiser, Christian Berger, K. Ndyamboti, Christian Thiel, C.C. Schmullius, Marcel Urban, J. du Toit
Publikováno v:
IGARSS
In this paper, we propose a methodology for upscaling fractional vegetation cover (FVC) estimates derived from unmanned aerial vehicles (UAVs) to a larger area using freely available Sentinel-1/2 and Landsat-8 satellite data in the semi-arid Nama-Kar
Autor:
M. Folsch, Nesrin Salepci, C.C. Schmullius, Marcel Urban, L. Arslanova, F. Scheibler, Carsten Pathe
Publikováno v:
IGARSS
This study explores the potential of Sentinel-1 time series to map field heterogeneities as an additional information into optical vegetation index products into operational farming practices. The presentation explains the data processing strategies
Autor:
Tercia Strydom, Marcel Urban, I. Smit, C.C. Schmullius, Christian Berger, Andiswa Mlisa, B. Melly, Nosiseko Mashiyi, Konstantin Schellenberg, Ursula Gessner, Andreas Hirner, George Chirima, Mahlatse Kganyago, Jussi Baade, Abel Ramoelo, Theunis Morgenthal
Publikováno v:
IGARSS
The overarching goal of SALDi (South African Land Degradation MonItor) is to implement novel, adaptive, and sustainable tools for assessing land degradation in multi-use landscapes in South Africa. This presentation demonstrates results from hyper-te
Autor:
Sten Nilsson, Ian McCallum, Christian Rödenbeck, Philippe Peylin, Shaun Quegan, C.C. Schmullius, Anatoly Shvidenko, Christian Beer, Wolfgang Lucht, Itsuki C. Handoh
Publikováno v:
Global Change Biology. 17:351-365
Northern Eurasia is the largest terrestrial reservoir of carbon, and its dynamics and interactions with climate are globally significant. We present five independent estimates of the contemporary carbon balance of central Siberia using three differen
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 47:3993-4000
Focusing on Siberia, the feasibility of using Advanced Land Observing Satellite Phased Arrayed L-band Synthetic Aperture Radar (PALSAR) summer-intensity and winter-coherence images for large-area forest monitoring was investigated. Fine beam dual hor
Publikováno v:
Forestry. 79:589-597
Summary This paper assesses the feasibility of forest cover mapping and the delineation of deforestation using Japanese Earth Resource Satellite (JERS)-1 Synthetic Aperture Radar (SAR) data. The assessment was carried out at fi ve test sites in Germa