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of 7
pro vyhledávání: '"Ron Hagensieker"'
Autor:
Ron Hagensieker, Björn Waske
Publikováno v:
Remote Sensing, Vol 10, Iss 2, p 257 (2018)
Earth Observation (EO) data plays a major role in supporting surveying compliance of several multilateral environmental treaties, such as UN-REDD+ (United Nations Reducing Emissions from Deforestation and Degradation). In this context, land cover map
Externí odkaz:
https://doaj.org/article/60b2f595528e469990a1229e5cdc6945
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation. 78:202-214
Deforestation in the Amazon has important implications for biodiversity and climate change. However, land cover monitoring in this tropical forest is a challenge because it covers such a large area and the land cover change often occurs quickly, and
Autor:
Ron Hagensieker, Paul D. Wagner, Johannes Rosentreter, Ribana Roscher, Björn Waske, Akpona Okujeni
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10:1938-1948
Hyperspectral remote sensing data offer the opportunity to map urban characteristics in detail. Though, adequate algorithms need to cope with increasing data dimensionality, high redundancy between individual bands, and often spectrally complex urban
Publikováno v:
Remote Sensing of Environment. 237:111472
In recent years, the concept of Local Climate Zones (LCZs) has become a new standard in the research of urban landscapes. LCZs outline a classification scheme, which is designed to categorize urban and rural surfaces according to their climate-releva
Autor:
Waske, Ron Hagensieker, Björn
Publikováno v:
Remote Sensing; Volume 10; Issue 2; Pages: 257
Earth Observation (EO) data plays a major role in supporting surveying compliance of several multilateral environmental treaties, such as UN-REDD+ (United Nations Reducing Emissions from Deforestation and Degradation). In this context, land cover map
Remote sensing satellite data offer the unique possibility to map land use land cover transformations by providing spatially explicit information. However, detection of short-term processes and land use patterns of high spatial–temporal variability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ebfef381be3e8b46dc5ffd5409770b8
http://arxiv.org/abs/1709.07794
http://arxiv.org/abs/1709.07794
Autor:
Ron Hagensieker, Björn Waske
Publikováno v:
IGARSS
Using monthly as well as annual statistics, we investigate the potentials of synergetic utilization of multispectral and C-band SAR data for the classification of a study site in the central Brazilian state of Mato Grosso. We aim at the classificatio