Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Eliakim Hamunyela"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 102, Iss , Pp 102386- (2021)
Accurate sub-annual detection of forest disturbance provides timely baseline information for understanding forest change and dynamics to support the development of sustainable forest management strategies. Traditionally, Landsat imagery was widely us
Externí odkaz:
https://doaj.org/article/ded236b0251144fc87d8ac14f0302b5e
Autor:
Eliakim Hamunyela, Patric Brandt, Deo Shirima, Ha Thi Thanh Do, Martin Herold, Rosa Maria Roman-Cuesta
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 88, Iss , Pp 102063- (2020)
Naturally isolated montane forests in East Africa are hotspots of biodiversity, often characterised by high species endemism, and are fundamental contributors to water services. However, they are located in areas highly suitable for agriculture, maki
Externí odkaz:
https://doaj.org/article/f1fe202c84b943aa96a23ac3b0d951d8
Autor:
Eliakim Hamunyela, Sabina Rosca, Andrei Mirt, Eric Engle, Martin Herold, Fabian Gieseke, Jan Verbesselt
Publikováno v:
Remote Sensing, Vol 12, Iss 18, p 2953 (2020)
Monitoring of abnormal changes on the earth’s surface (e.g., forest disturbance) has improved greatly in recent years because of satellite remote sensing. However, high computational costs inherently associated with processing and analysis of satel
Externí odkaz:
https://doaj.org/article/8fb6fb205d42443cb52cb8e8c38c34f0
Publikováno v:
Remote Sensing, Vol 5, Iss 12, Pp 6159-6179 (2013)
Plant phenology is changing because of recent global warming, and this change may precipitate changes in animal distribution (e.g., pests), alter the synchronization between species, and have feedback effects on the climate system through the alterat
Externí odkaz:
https://doaj.org/article/00cddec08e3f469d9fc80266fbe13ef1
Publikováno v:
Remote Sensing, Vol 9, Iss 10, p 1025 (2017)
In recent years, sequential tests for detecting structural changes in time series have been adapted for deforestation monitoring using satellite data. The input time series of such sequential tests is typically a vegetation index (e.g., NDVI), which
Externí odkaz:
https://doaj.org/article/1a97082f84474640bce0c5f88137fb13
Publikováno v:
Remote Sensing, Vol 8, Iss 8, p 651 (2016)
Current methods for monitoring deforestation from satellite data at sub-annual scales require pixel time series to have many historical observations in the reference period to model normal forest dynamics before detecting deforestation. However, in s
Externí odkaz:
https://doaj.org/article/502ab166635c42a88513f2c791519581
Autor:
Eliakim Hamunyela, Martin Hipondoka, Frans Persendt, Hilma Sevelia Nghiyalwa, Chris Thomas, Kenneth Matengu
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 191:68-84
Autor:
Frédéric Baup, Christophe Moisy, Bertrand Ygorra, T. Catry, Frédéric Frappart, Jean-Pierre Wigneron, Eliakim Hamunyela, S. Riazanoff
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation
International Journal of Applied Earth Observation and Geoinformation, Elsevier, 2021, 103, pp.1-19. ⟨10.1016/j.jag.2021.102532⟩
International Journal of Applied Earth Observation and Geoinformation, 2021, 103, pp.1-19. ⟨10.1016/j.jag.2021.102532⟩
International Journal of Applied Earth Observation and Geoinformation, Elsevier, 2021, 103, pp.1-19. ⟨10.1016/j.jag.2021.102532⟩
International Journal of Applied Earth Observation and Geoinformation, 2021, 103, pp.1-19. ⟨10.1016/j.jag.2021.102532⟩
International audience; The forest decline in tropical areas is one of the largest global environmental threats as the growth of both global population and its needs have put an increasing pressure on these ecosystems. Efforts are ongoing to reduce t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e75e9df39e7cd4e680adae5052bf7140
https://hal.inrae.fr/hal-03357778/document
https://hal.inrae.fr/hal-03357778/document
Autor:
J. P. Wigneron, Frédéric Frappart, Frédéric Baup, T. Catry, B. Ygorra, S. Riazanoff, Christophe Moisy, Eliakim Hamunyela
Publikováno v:
IGARSS
Tropical forests are vulnerable to deforestation and various monitoring techniques have been developed based on remotely sensed data to map deforestation, but are facing multiple problems in the tropical areas. For instance, the techniques based opti
Autor:
Martin Herold, Jan Verbesselt, Sabina Rosca, Eliakim Hamunyela, Andrei Mirt, Eric Engle, Fabian Gieseke
Publikováno v:
Remote Sensing, Vol 12, Iss 2953, p 2953 (2020)
Remote Sensing 12 (2020) 18
Remote Sensing
Remote Sensing, 12(18)
Remote Sensing 12 (2020) 18
Remote Sensing
Remote Sensing, 12(18)
Monitoring of abnormal changes on the earth’s surface (e.g., forest disturbance) has improved greatly in recent years because of satellite remote sensing. However, high computational costs inherently associated with processing and analysis of satel