Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Björn Waske"'
Publikováno v:
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 13, Iss , Pp 100071- (2024)
Forest diebacks pose a major threat to global ecosystems. Identifying and mapping both living and dead trees is crucial for understanding the causes and implementing effective management strategies. This study explores the efficacy of Mask R–CNN fo
Externí odkaz:
https://doaj.org/article/5f347033ac824ea59299b9d61fa4b427
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3115 (2024)
Earth observation missions such as Sentinel and Landsat support the large-scale identification of agricultural crops by providing free radar and multispectral satellite images. The extraction of representative image information as well as the combina
Externí odkaz:
https://doaj.org/article/89e76ba082c9488ab1def19894bf6082
Publikováno v:
Remote Sensing, Vol 16, Iss 14, p 2684 (2024)
In organic farming, clover is an important basis for green manure in crop rotation systems due to its nitrogen-fixing effect. However, clover is often sown in mixtures with grass to achieve a yield-increasing effect. In order to determine the quantit
Externí odkaz:
https://doaj.org/article/e43a36404f9b4504a95ff2922156ab00
Autor:
Kim-Jana Stückemann, Björn Waske
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 115, Iss , Pp 103123- (2022)
Salt marshes act as an important natural buffer in terms of coastal protection in the light of the rising sea level. Due to weather events like extreme storms the extent of salt marshes changes. Hence, it is of great importance to regularly monitor t
Externí odkaz:
https://doaj.org/article/94b725d5b7f8433ca8a8ad97622be18c
Autor:
Javier Muro, Ana Varea, Adrian Strauch, Anis Guelmami, Eleni Fitoka, Frank Thonfeld, Bernd Diekkrüger, Björn Waske
Publikováno v:
Heliyon, Vol 6, Iss 8, Pp e04496- (2020)
Wetlands are highly dynamic, with many natural and anthropogenic drivers causing seasonal, periodic or permanent changes in their structure and composition. Thus, it is necessary to use time series of images for accurate classifications and monitorin
Externí odkaz:
https://doaj.org/article/32fc8798222d499f873997a544f840cf
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 87, Iss , Pp 102036- (2020)
Mapping heathland habitats is generally challenging due to fine-scale habitats as well as spectral ambiguities between different classes. A multi-seasonal time-series of multispectral RapidEye data from several phenological stages was analysed toward
Externí odkaz:
https://doaj.org/article/b1c976a33d504a358db5d1ac433b659e
Publikováno v:
Remote Sensing, Vol 6, Iss 9, Pp 8779-8802 (2014)
Contrary to binary and multi-class classifiers, the purpose of a one-class classifier for remote sensing applications is to map only one specific land use/land cover class of interest. Training these classifiers exclusively requires reference data fo
Externí odkaz:
https://doaj.org/article/70694d972142438082b005c7f9697f3e
Autor:
Jan Stefanski, Tobias Kuemmerle, Oleh Chaskovskyy, Patrick Griffiths, Vassiliy Havryluk, Jan Knorn, Nikolas Korol, Anika Sieber, Björn Waske
Publikováno v:
Remote Sensing, Vol 6, Iss 6, Pp 5279-5305 (2014)
The global demand for agricultural products is surging due to population growth, more meat-based diets, and the increasing role of bioenergy. Three strategies can increase agricultural production: (1) expanding agriculture into natural ecosystems; (2
Externí odkaz:
https://doaj.org/article/26a9b3ab09e74cf7bd60eed4a7450d9c
Publikováno v:
Remote Sensing, Vol 11, Iss 21, p 2560 (2019)
This study analyzes the potential of very high resolution (VHR) remote sensing images and extended morphological profiles for mapping Chestnut stands on Tenerife Island (Canary Islands, Spain). Regarding their relevance for ecosystem services in the
Externí odkaz:
https://doaj.org/article/4ee24ec75020419c82213eb5e08e9385
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