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Generative Adversarial Approach to Urban Areas’ NDVI Estimation: A Case Study of Łódź, Poland Cover

Generative Adversarial Approach to Urban Areas’ NDVI Estimation: A Case Study of Łódź, Poland

Open Access
|Jan 2023

Figures & Tables

Fig. 1

Research area, based on the data from the Head Office of Geodesy and Cartography (Land and Building Records).

Fig. 2

The main steps of the investigation.

Fig. 3

Visualization Visualisation of a dataset item, based on Geoportal (2021). From left to right: RGB composition, R, G and B bands that form the input tensor and normalised difference vegetation index, which serves as a target tensor.

Fig. 4

Modified Pix2Pix discriminator model visualisation.

Fig. 5

Modified Pix2Pix generator sub-model visualisation.

Fig. 6

Colour palette used during visual inspection of Figs 7–15.

Fig. 7

Inference result – abandoned land; based on Geoportal (2021). From left to right: PAN, NDVItrue, NDVIartificial and NDVIdiff.

Fig. 8

Inference result – wooded area: PAN, NDVItrue, NDVIartificial and NDVIdiff; based on Geoportal (2021).

Fig. 9

Inference result – small parking lot: PAN, NDVItrue, NDVIartificial and NDVIdiff; based on Geoportal (2021).

Fig. 10

Inference result – buildings: PAN, NDVItrue, NDVIartificial and NDVIdiff; based on Geoportal (2021).

Fig. 11

Inference result – residential area: PAN, NDVItrue, NDVIartificial and NDVIdiff; based on Geoportal (2021).

Fig. 12

Inference result – commercial facility: PAN, NDVItrue, NDVIartificial and NDVIdiff; based on Geoportal (2021).

Fig. 13

Inference result – commercial facility parking lot: PAN, NDVItrue, NDVIartificial and NDVIdiff; based on Geoportal (2021).

Fig. 14

Inference result – farmland: PAN, NDVItrue, NDVIartificial and NDVIdiff; based on Geoportal (2021).

Fig. 15

Sliding window inference (NDVIartificial) of an orthophoto used to compute the test dataset); based on Geoportal (2021). The scene (51.76174 E, 19.42149 N) presents Łódź, Poland. Red values indicate high NDVI values (closer to 1). Blue ones represent small values (closer to −1).

Fig. 16

Sliding window inference (NDVIartificial) of an archival 1966 greyscale aerial image; based on GUGiK (Head Office of Geodesy and Cartography b.d.). The scene presents Łódź, Poland. Red overlay indicates values where 0.5 < NDVI < 1.

Normalised difference vegetation index threshold values used in urban studies in Poland_

NDVI Threshold for vegetationImage data usedResearch areaReferences
0.3Landsat TM, GSD 30 m, 3 Jul. 2006WarsawTomaszewska et al. (2011)
0.1MODIS, GSD 250 m, 3 Jul. 2006WarsawTomaszewska et al. (2011)
0.1Digital orthophoto, GSD 0.1 m, May 2014WroclawKubalska and Preuss (2014)
0.2IKONOS-2, GSD 1(4) m, 18 Aug. 2005LublinKrukowski et al. (2016)
0.2Landsat 8, GSD 30 m, 3 Jul. 2015ŁódźBędkowski and Bielecki (2017)
0.1Pléiades 1A, GSD 0.5 m, May 2012WarsawPyra and Adamczyk (2018)
0.1CIR-orthophoto, GSD 0.25 m, 2015ŁódźPluto-Kossakowska et al. (2018)
0.2IKONOS-2, GSD 1(4) m, 18 Aug. 2011LublinKrukowski (2018)
0.1CIR aerial orthophoto, GSD 0.25 m, 2015ŁódźWorm et al. (2019)
0.6Sentinel 2, GSD 10 m, summer 2018, 2019PolandŁachowski and Łęczek (2020)
0.2IKONOS-2, June 2005, GSD = 0.8 m PAN (3.2 m MS)QuickBird-2, September 2006, GSD = 0.6 m PAN (2.4 m MS)WorldView-2, October 2014, GSD = 0.5 m PAN (2.0 m MS)Aerial orthophotomap (CIR), May 2017, GSD = 0.25 mPolandZięba-Kulawik and Wężyk (2022)

Test set evaluation metrics_

SSIMPSNRRSME
AVG0.756926.64590.0504
STD0.10833.65770.0193
MIN0.358916.33430.0026
MAX0.998751.76740.1525

Structure of land use in Łódź [km2]_

TotalAgricultural landForest, woody, and bushy landResidential areasIndustrial areasTransport areasGroundwaterOther
293.25113.7624.6747.1313.9142.371.331.15
DOI: https://doi.org/10.14746/quageo-2023-0007 | Journal eISSN: 2081-6383 | Journal ISSN: 2082-2103
Language: English
Page range: 87 - 106
Submitted on: Sep 27, 2022
Published on: Jan 29, 2023
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Related subjects:

© 2023 Maciej Adamiak, Krzysztof Będkowski, Adam Bielecki, published by Adam Mickiewicz University
This work is licensed under the Creative Commons Attribution 4.0 License.