Divyani Kohli
Divyani Kohli
Unknown affiliation
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Cited by
Cited by
An ontology of slums for image-based classification
D Kohli, R Sliuzas, N Kerle, A Stein
Computers, Environment and Urban Systems 36 (2), 154-163, 2012
Transferability of object-oriented image analysis methods for slum identification
D Kohli, P Warwadekar, N Kerle, R Sliuzas, A Stein
Remote Sensing 5 (9), 4209-4228, 2013
Urban slum detection using texture and spatial metrics derived from satellite imagery
D Kohli, R Sliuzas, A Stein
Journal of spatial science 61 (2), 405-426, 2016
The scope of earth-observation to improve the consistency of the SDG slum indicator
M Kuffer, J Wang, M Nagenborg, K Pfeffer, D Kohli, R Sliuzas, C Persello
ISPRS international journal of geo-information 7 (11), 428, 2018
Accounting for training data error in machine learning applied to earth observations
A Elmes, H Alemohammad, R Avery, K Caylor, JR Eastman, L Fishgold, ...
Remote Sensing 12 (6), 1034, 2020
Uncertainty analysis for image interpretations of urban slums
D Kohli, A Stein, R Sliuzas
Computers, Environment and Urban Systems 60, 37-49, 2016
Coupling uncertainties with accuracy assessment in object-based slum detections, case study: Jakarta, Indonesia
J Pratomo, M Kuffer, J Martinez, D Kohli
Remote sensing 9 (11), 1164, 2017
The exposure of slums to high temperature: Morphology-based local scale thermal patterns
J Wang, M Kuffer, R Sliuzas, D Kohli
Science of the total environment 650, 1805-1817, 2019
Spatial metrics to analyse the impact of regional factors on pattern of urbanisation in Gurgaon, India
S Jain, D Kohli, RM Rao, W Bijker
Journal of the Indian Society of Remote Sensing 39, 203-212, 2011
Mapping informal settlement indicators using object-oriented analysis in the Middle East
A Fallatah, S Jones, D Mitchell, D Kohli
International journal of digital earth, 2018
Comparing human versus machine-driven cadastral boundary feature extraction
E Nyandwi, M Koeva, D Kohli, R Bennett
Remote sensing 11 (14), 1662, 2019
Remote sensing modeling of urban density dynamics across 36 major cities in China: Fresh insights from hierarchical urbanized space
P Zhang, D Kohli, Q Sun, Y Zhang, S Liu, D Sun
Landscape and urban planning 203, 103896, 2020
Crowd-driven and automated mapping of field boundaries in highly fragmented agricultural landscapes of Ethiopia with very high spatial resolution imagery
M Marshall, S Crommelinck, D Kohli, C Perger, MY Yang, A Ghosh, S Fritz, ...
Remote sensing 11 (18), 2082, 2019
Identifying and classifying slum areas using remote sensing
D Kohli
Application of the trajectory error matrix for assessing the temporal transferability of OBIA for slum detection
J Pratomo, M Kuffer, D Kohli, J Martinez
European journal of remote sensing 51 (1), 838-849, 2018
Analysing urban development patterns in a conflict zone: A case study of Kabul
V Chaturvedi, M Kuffer, D Kohli
Remote sensing 12 (21), 3662, 2020
Local ontologies for object-based slum identification and classification
D Kohli, N Kerle, R Sliuzas
Environs 3, 3, 2012
A Quantitative Comparison of Completely Visible Cadastral Parcels Using Satellite Images: A Step towards Automation
D Kohli, R Bennett, C Lemmen, K Asiama, A Morales, A Pinheiro, ...
FIG Working Week 2017: Surveying the world of tomorrow-From digitalisation …, 2017
Validation of a cadastral map created using satellite imagery and automated feature extraction techniques: A case of Nepal
D Kohli, EM Unger, RM Bennett, MN Koeva, J Friss, B Bhandari
XXVI FIG Congress 2018: Embracing our smart world where the continents …, 2018
Robustness of rule sets using VHR imagery to detect informal settlements-a case of Mumbai, India
V Naorem, M Kuffer, J Verplanke, D Kohli
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