Zobrazeno 1 - 10
of 86
pro vyhledávání: '"E. Baltsavias"'
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-3-2020, Pp 409-416 (2020)
Lake ice, as part of the Essential Climate Variable (ECV) lakes, is an important indicator to monitor climate change and global warming. The spatio-temporal extent of lake ice cover, along with the timings of key phenological events such as freeze-up
Externí odkaz:
https://doaj.org/article/4c4deb5155c547c287c4bf25befe0cae
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2020, Pp 549-556 (2020)
Lake ice is a strong climate indicator and has been recognised as part of the Essential Climate Variables (ECV) by the Global Climate Observing System (GCOS). The dynamics of freezing and thawing, and possible shifts of freezing patterns over time, c
Externí odkaz:
https://doaj.org/article/03df3972d76d4c05adab9b7973bf0f9a
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-2, Pp 311-317 (2018)
Continuous monitoring of climate indicators is important for understanding the dynamics and trends of the climate system. Lake ice has been identified as one such indicator, and has been included in the list of Essential Climate Variables (ECVs). Cur
Externí odkaz:
https://doaj.org/article/ca9b46c3ef0440dbb2e468920010042d
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-2, Pp 279-286 (2018)
Monitoring and analyzing the (decreasing) trends in lake freezing provides important information for climate research. Multi-temporal satellite images are a natural data source to survey ice on lakes. In this paper, we describe a method for lake ice
Externí odkaz:
https://doaj.org/article/0fddf8baf5f44089b647bc28fe4fc422
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-3/W3, Pp 451-458 (2015)
In this work, we jointly process high spectral and high geometric resolution images and exploit their synergies to (a) generate a fused image of high spectral and geometric resolution; and (b) improve (linear) spectral unmixing of hyperspectral endme
Externí odkaz:
https://doaj.org/article/2d4cfb905097467caf4d2dcd5f364311
Rapid Disaster Analysis based on Remote Sensing: A Case Study about the Tohoku Tsunami Disaster 2011
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-7, Pp 209-216 (2014)
In this study, we present first results of RAPIDMAP, a project funded by European Union in a framework aiming to foster the cooperation of European countries with Japan in R&D. The main objective of RAPIDMAP is to construct a Decision Support System
Externí odkaz:
https://doaj.org/article/a43ae606a4f9488f95fed7db594a4e03
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-7/W2, Pp 213-217 (2013)
A new algorithm for automatic change detection is presented. It detects a pixel-change and DSM-change from two orthoimages and two DSMs, then it extracts the polygons in elevation-changed areas. Pixel-change is detected by using least squares fitting
Externí odkaz:
https://doaj.org/article/7c13b674272f4a8c8e6745d6e12a0044
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-7/W2, Pp 31-35 (2013)
FP7 INCO project frame for enhancing research cooperation between European countries and Japan on two topics, one of which is Resilience Against Disasters. The project started in June 2013 and has a duration of 2 years. In the paper, we will outline
Externí odkaz:
https://doaj.org/article/427237a9f1704c57adeee0a03b4bb717
Autor:
N. Demir, E. Baltsavias
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol I-4, Pp 35-40 (2012)
In this work, an automated approach for 3D building roof modelling is presented. The method consists of two main parts, namely roof detection and 3D geometric modelling. For the detection, a combined approach of four methods achieved the best results
Externí odkaz:
https://doaj.org/article/263792a0b6644204a163e0a7879e1576
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