Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Thomas Moeckel"'
Autor:
Thomas Moeckel, Supriya Dayananda, Rama Rao Nidamanuri, Sunil Nautiyal, Nagaraju Hanumaiah, Andreas Buerkert, Michael Wachendorf
Publikováno v:
Remote Sensing, Vol 10, Iss 5, p 805 (2018)
3D point cloud analysis of imagery collected by unmanned aerial vehicles (UAV) has been shown to be a valuable tool for estimation of crop phenotypic traits, such as plant height, in several species. Spatial information about these phenotypic traits
Externí odkaz:
https://doaj.org/article/3588a1dab43b489eba75fe494f68c67a
Publikováno v:
Remote Sensing, Vol 9, Iss 1, p 98 (2017)
An accurate estimation of biomass is needed to understand the spatio-temporal changes of forage resources in pasture ecosystems and to support grazing management decisions. A timely evaluation of biomass is challenging, as it requires efficient means
Externí odkaz:
https://doaj.org/article/c4b915872e934d369e1b35d2e5672fa8
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation. 78:352-359
Farmers, as well as agronomists, are intrigued by efficient quantification of grassland biomass at field-scale. Canopy surface height (CSH) based non-destructive grassland biomass estimation over a larger area has important advantages compared to des
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a727d30a59c439e2c0a05c6200b6248
https://doi.org/10.1016/j.jag.2018.10.006
https://doi.org/10.1016/j.jag.2018.10.006
Publikováno v:
Methods in Ecology and Evolution. 9:2009-2018
The NDVI is a remotely sensed vegetation index that is frequently used in ecological studies. There is, however, a lack of studies that evaluate the ability of the NDVI to detect fine-scale variation in grassland plant community composition and speci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7be6e6fda23b7bb0512e6586dc8733d4
https://doi.org/10.1111/2041-210x.13036
https://doi.org/10.1111/2041-210x.13036
Autor:
Wachendorf, Thomas Moeckel, Supriya Dayananda, Rama Rao Nidamanuri, Sunil Nautiyal, Nagaraju Hanumaiah, Andreas Buerkert, Michael
Publikováno v:
Remote Sensing; Volume 10; Issue 5; Pages: 805
3D point cloud analysis of imagery collected by unmanned aerial vehicles (UAV) has been shown to be a valuable tool for estimation of crop phenotypic traits, such as plant height, in several species. Spatial information about these phenotypic traits
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::55d74c9e2b778999b20c6ba1c2dfbc73