Следене
Tobias Leichtle
Tobias Leichtle
Потвърден имейл адрес: dlr.de
Заглавие
Позовавания
Позовавания
Година
Unsupervised change detection in VHR remote sensing imagery–an object-based clustering approach in a dynamic urban environment
T Leichtle, C Geiß, M Wurm, T Lakes, H Taubenböck
International Journal of Applied Earth Observation and Geoinformation 54 (1 …, 2017
1562017
Large-area characterization of urban morphology—Mapping of built-up height and density using TanDEM-X and Sentinel-2 data
C Geiß, T Leichtle, M Wurm, PA Pelizari, I Standfuß, XX Zhu, E So, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019
542019
Class imbalance in unsupervised change detection–a diagnostic analysis from urban remote sensing
T Leichtle, C Geiß, T Lakes, H Taubenböck
International journal of applied earth observation and geoinformation 60, 83-98, 2017
392017
Urbanization that hides in the dark–Spotting China’s “ghost neighborhoods” from space
L Shi, M Wurm, X Huang, T Zhong, T Leichtle, H Taubenböck
Landscape and Urban Planning 200, 103822, 2020
352020
Has Dongying developed to a ghost city?-Evidence from multi-temporal population estimation based on VHR remote sensing and census counts
T Leichtle, T Lakes, XX Zhu, H Taubenböck
Computers, Environment and Urban Systems 78, 101372, 2019
282019
On the use of dual-co-polarized TerraSAR-X data for wetland monitoring
A Schmitt, T Leichtle, M Huber, A Roth
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2012
222012
Which city is the greenest? A multi-dimensional deconstruction of city rankings
H Taubenböck, M Reiter, F Dosch, T Leichtle, M Weigand, M Wurm
Computers, Environment and Urban Systems 89, 101687, 2021
192021
Investigation of Tandem-X penetration depth over the Greenland Ice Sheet
S Abdullahi, B Wessel, T Leichtle, M Huber, C Wohlfart, A Roth
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
102018
Estimating housing vacancy rates at block level: The example of Guiyang, China
L Shi, M Wurm, X Huang, T Zhong, T Leichtle, H Taubenböck
Landscape and Urban Planning 224, 104431, 2022
72022
Does urban growth mean the loss of greenness? A multi-temporal analysis for Chinese cities
S Yu, T Leichtle, Z Zhang, F Liu, X Wang, X Yan, H Taubenböck
Science of The Total Environment 898, 166373, 2023
62023
Evaluation of clustering algorithms for unsupervised change detection in VHR remote sensing imagery
T Leichtle, C Geiß, M Wurm, T Lakes, H Taubenböck
2017 Joint Urban Remote Sensing Event (JURSE), 1-4, 2017
52017
On the capability of different SAR polarization combinations for agricultural monitoring
T Leichtle, A Schmitt, A Roth, M Schardt
2012 IEEE International Geoscience and Remote Sensing Symposium, 3752-3755, 2012
52012
Quantifying urban heat exposure at fine scale-modeling outdoor and indoor temperatures using citizen science and VHR remote sensing
T Leichtle, M Kühnl, A Droin, C Beck, M Hiete, H Taubenböck
Urban Climate 49, 101522, 2023
32023
The “ghost neighborhood” phenomenon in China—geographic locations and intra-urban spatial patterns
L Shi, T Leichtle, M Wurm, H Taubenböck
Environment and Planning B: Urban Analytics and City Science 49 (9), 2363-2377, 2022
22022
Urban Trees–Detection, Delineation, Quantification, and Characterisation based on VHR Remote Sensing
T Leichtle, M Zehner, M Kühnl, K Martin, H Taubenböck
REAL CORP 2021, 1029-1039, 2021
22021
Change Detection for Application in Urban Geography based on Very High Resolution Remote Sensing
T Leichtle
Humboldt-Universität zu Berlin, 2020
22020
TanDEM-X DEM derived elevation changes of the Greenland Ice Sheet
C Wohlfart, B Wessel, M Huber, T Leichtle, S Abdullahi, S Kerkhoff, A Roth
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
22018
Smart urban forestry: is it the future?
S Pauleit, N Gulsrud, S Raum, H Taubenböck, T Leichtle, S Erlwein, ...
Informed Urban Environments: Data-Integrated Design for Human and Ecology …, 2022
12022
Estimating housing vacancy rates at the residential neighborhood level: The case of Zhengzhou, China
L Shi, T Leichtle, M Wurm, H Taubenböck
12022
VHR Remote Sensing for Impervious Surface Estimation
T Leichtle
EUSI Blog, 2019
12019
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