Zobrazeno 1 - 10
of 149
pro vyhledávání: '"D. Cerra"'
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-3-2024, Pp 53-59 (2024)
Analyzing night lights images allows identifying and monitoring affected areas during conflicts, as an overall decrease in brightness indicates abandoned or destroyed buildings, curfews, or power shortages. While detecting decrease in lights intensit
Externí odkaz:
https://doaj.org/article/929c8e8a77514651b5f50adc157b0916
Publikováno v:
Biogeosciences, Vol 21, Pp 2717-2730 (2024)
The severity and the extent of a large fire event that occurred on the small volcanic island of Stromboli (Aeolian archipelago, Italy) on 25–26 May 2022 were evaluated through remotely sensed data to assess the short-term effect of fire on local pl
Externí odkaz:
https://doaj.org/article/1569a33abc744c33ac2c2c542c9a35c0
Publikováno v:
Atmospheric Measurement Techniques, Vol 16, Pp 4195-4214 (2023)
Monitoring anthropogenic emissions is a crucial aspect in understanding the methane budget. Moreover, a reduction of methane emissions could help to mitigate global warming on a short timescale. This study compares various retrieval schemes for estim
Externí odkaz:
https://doaj.org/article/90cbddec45024b42ad956e363cb25ab8
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-M-1-2023, Pp 263-269 (2023)
This paper presents the importance of using Earth observation to assess the impact of fire events on monitoring cultural heritage sites. The use of sensors such as Sentinel 2 can detect burnt areas in order to determine the extent of fire events on c
Externí odkaz:
https://doaj.org/article/8fca00b690604148a7bef93ab65276dc
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-1-2022, Pp 9-14 (2022)
Solar photovoltaic power plants are in rapid expansion throughout the world, with the total area occupied by panels being linked to the total electrical power produced. This paper considers this case as an instance of the generic problem of estimatin
Externí odkaz:
https://doaj.org/article/55d4775e62be4842be8fb64172a9d442
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W3, Pp 161-164 (2017)
Spectral indices derived from hyperspectral reflectance measurements are powerful tools to estimate physical parameters in a non-destructive and precise way for several fields of applications, among others vegetation health analysis, coastal and deep
Externí odkaz:
https://doaj.org/article/7d093b447eb54ad599d524912d2cfbd8
Autor:
E. Carmona, J. Avbelj, K. Alonso, M. Bachmann, D. Cerra, A. Eckardt, B. Gerasch, L. Graham, B. Günther, U. Heiden, G. Kerr, U. Knodt, D. Krutz, H. Krawcyk, A. Makarau, R. Miller, R. Müller, R. Perkins, I. Walter
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-1-W1, Pp 271-277 (2017)
The German Aerospace Center (DLR) and Teledyne Brown Engineering (TBE) have established a collaboration to develop and operate a new space-based hyperspectral sensor, the DLR Earth Sensing Imaging Spectrometer (DESIS). DESIS will provide spacebased
Externí odkaz:
https://doaj.org/article/ce7fd543374346b8a22fd73fefcd9f38
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-1-W1, Pp 283-287 (2017)
Seagrasses are one of the most productive and widespread yet threatened coastal ecosystems on Earth. Despite their importance, they are declining due to various threats, which are mainly anthropogenic. Lack of data on their distribution hinders any e
Externí odkaz:
https://doaj.org/article/abb78a8bd42c482cb679f6f5ca772352
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-1-W1, Pp 279-282 (2017)
Coral reefs, among the world’s most biodiverse and productive submerged habitats, have faced several mass bleaching events due to climate change during the past 35 years. In the course of this century, global warming and ocean acidification are exp
Externí odkaz:
https://doaj.org/article/981943da443b41a09aef0b79e99cc663
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B3, Pp 469-473 (2016)
In this paper we propose a cloud removal algorithm for scenes within a Sentinel-2 satellite image time series based on synthetisation of the affected areas via sparse reconstruction. For this purpose, a clouds and clouds shadow mask must be given. W
Externí odkaz:
https://doaj.org/article/b52bb37f9f0640d59e9db2905ea034c5