Zobrazeno 1 - 10
of 213
pro vyhledávání: '"Konrad Schindler"'
Autor:
Benny Guralnik, Marissa M. Tremblay, Marcia Phillips, Elaine L. Sellwood, Natacha Gribenski, Robert Presl, Anna Haberkorn, Reza Sohbati, David L. Shuster, Pierre G. Valla, Mayank Jain, Konrad Schindler, Jakob Wallinga, Kristina Hippe
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 2, Pp n/a-n/a (2024)
Abstract The spatial and temporal distribution of Alpine snow is a sensitive gauge of environmental change. While understanding past snow dynamics is essential for reconstructing past climate and forecasting future trends, reliable snowpack data prio
Externí odkaz:
https://doaj.org/article/e29886ef1fec4009bf3eeb79e5151bf3
Accuracy and consistency of space-based vegetation height maps for forest dynamics in alpine terrain
Autor:
Yuchang Jiang, Marius Rüetschi, Vivien Sainte Fare Garnot, Mauro Marty, Konrad Schindler, Christian Ginzler, Jan D. Wegner
Publikováno v:
Science of Remote Sensing, Vol 8, Iss , Pp 100099- (2023)
Monitoring and understanding forest dynamics is essential for environmental conservation and management. This is why the Swiss National Forest Inventory (NFI) provides countrywide vegetation height maps at a spatial resolution of 0.5 m. Its long upda
Externí odkaz:
https://doaj.org/article/4299cc79ee764ba198a41c2c0203560c
Publikováno v:
Water, Vol 16, Iss 9, p 1286 (2024)
Robust and accurate flood hazard maps are essential for early warning systems and flood risk management. Although physically based models are effective in estimating pluvial flooding, the computational burden makes them difficult to use for real-time
Externí odkaz:
https://doaj.org/article/2ffdeb09c81242c19f191db97783d6a0
Autor:
Nando Metzger, John E. Vargas-Muñoz, Rodrigo C. Daudt, Benjamin Kellenberger, Thao Ton-That Whelan, Ferda Ofli, Muhammad Imran, Konrad Schindler, Devis Tuia
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Fine-grained population maps are needed in several domains, like urban planning, environmental monitoring, public health, and humanitarian operations. Unfortunately, in many countries only aggregate census counts over large spatial units are
Externí odkaz:
https://doaj.org/article/b1ad6bc9985c430794187fb5863d9160
Autor:
Priyanka Chaudhary, João P. Leitão, Tabea Donauer, Stefano D’Aronco, Nathanaël Perraudin, Guillaume Obozinski, Fernando Perez-Cruz, Konrad Schindler, Jan Dirk Wegner, Stefania Russo
Publikováno v:
Water, Vol 14, Iss 19, p 2980 (2022)
We propose a probabilistic deep learning approach for the prediction of maximum water depth hazard maps at high spatial resolutions, which assigns well-calibrated uncertainty estimates to every predicted water depth. Efficient, accurate, and trustwor
Externí odkaz:
https://doaj.org/article/e10d301f4a2b4123b6d7a8b441019a0b
Publikováno v:
Remote Sensing, Vol 13, Iss 21, p 4302 (2021)
Typhoon Goni crossed several provinces in the Philippines where agriculture has high socioeconomic importance, including the top-3 provinces in terms of planted coconut trees. We have used a computational model to infer coconut tree density from sate
Externí odkaz:
https://doaj.org/article/fdabab2cefcd4a1ebe5230cb356e3938
Publikováno v:
Remote Sensing, Vol 13, Iss 12, p 2257 (2021)
Land use (LU) and land cover (LC) are two complementary pieces of cartographic information used for urban planning and environmental monitoring. In the context of New Caledonia, a biodiversity hotspot, the availability of up-to-date LULC maps is esse
Externí odkaz:
https://doaj.org/article/eabb4ee5dd104b9fa8ad34da1d97884b
Publikováno v:
Remote Sensing, Vol 12, Iss 21, p 3555 (2020)
Continuous observation of climate indicators, such as trends in lake freezing, is important to understand the dynamics of the local and global climate system. Consequently, lake ice has been included among the Essential Climate Variables (ECVs) of th
Externí odkaz:
https://doaj.org/article/0bad2400a00e42f3aa70b83780243380
Publikováno v:
Remote Sensing, Vol 7, Iss 5, Pp 5611-5638 (2015)
Mapping agricultural crops is an important application of remote sensing. However, in many cases it is based either on hyperspectral imagery or on multitemporal coverage, both of which are difficult to scale up to large-scale deployment at high spati
Externí odkaz:
https://doaj.org/article/b8ef2e9d661f46fb9df0e79fadf5e634
Publikováno v:
Remote Sensing, Vol 7, Iss 3, Pp 3293-3319 (2015)
The geometric accuracy of 2008 AVHRR orthoimages from Metop-A, NOAA-17 and NOAA-18 satellites over Switzerland have been investigated here. The methods employed in the study are fully automated, with an accuracy of 0.1–0.2 pixels, however, blunders
Externí odkaz:
https://doaj.org/article/a7b7c24c81d640a586fd35ffa40a16b4