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Tag Archive 'remote sensing'

The effective monitoring of land-use and land-cover changes (LULCC) is a basic requirement for understanding socio-enviromental processes of local to global scales. Remote sensing data and methods have long been established as the most effective approach for monitoring LULCC. The potential for further increasing the effectiveness of this approach is proportional to the astonishingly large [...]

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We cordially invite everybody interested to our next open GIScience colloquium talk
The speaker is Prof. Begum Demir
Electrical Engineering and Computer Science, Technical University of Berlin
When: Monday 07.05.2018, 2:15 pm
Where: INF 348, room 015 (Institute of Geography, Heidelberg University)
Recent Advances in Remote Sensing Image Search and Retrieval from Large Archives
During the last decade, a huge number of [...]

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We cordially invite everybody interested to our next open GIScience colloquium talk
The speaker is Dr. Benjamin Bechtel
from the Institute of Geography / Center for Earth System Research and Sustainability,
Universität Hamburg www.clisap.de cen.uni-hamburg.de
When: Thursday 08.03.2018, 14ct
Where: INF 348, room015 (Institute of Geography, Heidelberg University)
Abstract:
New observations of urban climates – remote sensing and [...]

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Land use data created by humans (OSM) was fused with satellite remote sensing data, resulting in a conterminous land use data set without gaps. The first version is now available for all Germany at OSMlanduse.org.
When human input (OSM data) was absent a machine generated missing land use information learning from human inputs and using remote [...]

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A recently published paper presents an approach for classifying urban blocks according to their built-up structure based on high-resolution spaceborne InSAR images. Most attributes considered in the classification describe the geometric structure and spatial disposition of the polygon and line features extracted from each block. The feature extraction is carried out on two intensity images [...]

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Recently, deep learning has been widely applied in pattern recognition with satellite images. Deep learning techniques like Convolutional Neural Network and Deep Belief Network have shown outstanding performance in detecting ground objects like buildings and roads, and the learnt deep features are further applied in some prediction tasks like poverty and population mapping. On the [...]

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In a recently published study (1), we produced a web based land use land cover (LULC) product based on OSM tags which are constantly updated by contributors/volunteers, and present a Remote Sensing based solution when tags were absent for a test site. We harness the combined benefit of an open source and ever-growing machine generated [...]

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we cordially invite everybody interested to our next open GIScience colloquium talk
on Mon, April 24, 2.15 pm,
at the Department of Geography, Heidelberg University, Im Neuenheimer Feld 348, Lecture Hall, Room 015.
The presentation will be given by Prof. Dr. Christine Pohl (Osnabrück).
The topic is:
The role of multimodal and multitemporal remote sensing in hazard and disaster [...]

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the GIScience Heidelberg colloquium series winter semester 2016/17 finished last week with even two presentations about Modeling Tsunami based risks and exposure. We were happy to hear first an overview from Andreas Schäfer vom KIT’s CEDIM about his PhD on Developing a Global Tsunami Risk Model. Thanks for our partners in the HeiKA CrowdFDA project [...]

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We cordially invite all interested to our forthcoming talk in the GIScience colloquium next Monday, December 19, about the use of remote sensing techniques for assessing soil and crop properties for applications in agriculture. Dr. Thomas Jarmer combines quantitative field measurements with remote sensing imagery to achieve not only a qualitative, but a quantitative assessment [...]

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