Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Ulrike Lussem"'
Autor:
Ulrike Lussem, Andreas Bolten, Ireneusz Kleppert, Jörg Jasper, Martin Leon Gnyp, Jürgen Schellberg, Georg Bareth
Publikováno v:
Remote Sensing, Vol 14, Iss 13, p 3066 (2022)
Precise and timely information on biomass yield and nitrogen uptake in intensively managed grasslands are essential for sustainable management decisions. Imaging sensors mounted on unmanned aerial vehicles (UAVs) along with photogrammetric structure-
Externí odkaz:
https://doaj.org/article/55eb13928cc94f91ad49669f445f513f
Autor:
Andreas Bolten, Martin L. Gnyp, Jörg Dr.rer.nat. Jasper, Ulrike Lussem, Georg Bareth, Jens Bongartz, Alexander Jenal, Jürgen Schellberg
Publikováno v:
PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science. 88:493-507
Remote sensing systems based on unmanned aerial vehicles (UAVs) are well suited for airborne monitoring of small to medium-sized farmland in agricultural applications. An imaging system is often used in the form of a multispectral multi-camera system
Publikováno v:
PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science. 88:407-422
Monitoring and predicting above ground biomass yield of grasslands are of key importance for grassland management. Established manual methods such as clipping or rising plate meter measurements provide accurate estimates of forage yield, but are time
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W13, Pp 443-447 (2019)
Monitoring biomass yield in grassland is of key importance to support sustainable management decisions. Especially the high spatio-temporal variety in grasslands requires rapid and cost-efficient data acquisition with a high spatial and temporal reso
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W13, Pp 203-206 (2019)
Forage monitoring in grassland is an important task to support management decisions. Spatial data on (i) yield,(ii) quality, and (iii) floristic composition are of interest. The spatio-temporal variability in grasslands is significant and requires fa
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2020, Pp 1069-1076 (2020)
Oak trees are the primary component in Mediterranean agro-silvopastoral systems. Since the second half of the 20th century, however, a severe oak decline has been observed. Climate change reinforces this problem, which is consistent with worldwide ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a067bb89d47ae20420b2fbf24e94f7a1
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2020/1069/2020/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2020/1069/2020/
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3, Pp 1215-1219 (2018)
Monitoring forage yield throughout the growing season is of key importance to support management decisions on grasslands/pastures. Especially on intensely managed grasslands, where nitrogen fertilizer and/or manure are applied regularly, precision ag
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation. 61:55-69
Spatial land use information is one of the key input parameters for regional agro-ecosystem modeling. Furthermore, to assess the crop-specific management in a spatio-temporal context accurately, parcel-related crop rotation information is additionall
Publikováno v:
Journal of Applied Remote Sensing. 13:1
Monitoring grassland biomass throughout the growing season is of key importance in sustainable, site-specific management decisions. Precision agriculture applications can support these decisions. However, precision agriculture relies on timely and ac
Autor:
Rossini, Micol1 (AUTHOR) micol.rossini@unimib.it, Celesti, Marco1,2 (AUTHOR), Bramati, Gabriele1 (AUTHOR), Migliavacca, Mirco3,4 (AUTHOR), Cogliati, Sergio1 (AUTHOR), Rascher, Uwe5 (AUTHOR), Colombo, Roberto1 (AUTHOR)
Publikováno v:
Remote Sensing. Oct2022, Vol. 14 Issue 20, p5107-5107. 19p.