Details zur Publikation |
Kategorie | Textpublikation |
Referenztyp | Zeitschriften |
DOI | 10.3390/rs13091744 |
Lizenz | |
Titel (primär) | Integrated mapping of spatial urban dynamics—A European-Chinese exploration. Part 1—Methodology for automatic land cover classification tailored towards spatial allocation of ecosystem services features |
Autor | Banzhaf, E.; Wu, W.; Luo, X.; Knopp, J. |
Quelle | Remote Sensing |
Erscheinungsjahr | 2021 |
Department | SUSOZ |
Band/Volume | 13 |
Heft | 9 |
Seite von | art. 1744 |
Sprache | englisch |
Topic | T5 Future Landscapes |
Keywords | urbanisation; satellite image preprocessing; automatic extraction of sample points; grey, green and blue infrastructures; Google Earth Engine (GEE) |
Abstract | Urbanisation processes inherently influence land cover (LC) and have
dramatic impacts on the amount, distribution and quality of vegetation
cover. The latter are the source of ecosystem services (ES) on which
humans depend. However, the temporal and thematical dimensions are not
documented in a comparable manner across Europe and China. Three cities
in China and three cities in Europe were selected as case study areas to
gain a picture of spatial urban dynamics at intercontinental scale.
First, we analysed available global and continental thematic LC products
as a data pool for sample selection and referencing our own mapping
model. With the help of the Google Earth Engine (GEE) platform and earth
observation data, an automatic LC mapping method tailored for more
detailed ES features was proposed. To do so, differentiated LC
categories were quantified. In order to obtain a balance between
efficiency and high classification accuracy, we developed an optimal
classification model by evaluating the importance of a large number of
spectral, texture-based indices and topographical information. The
overall classification accuracies range between 73% and 95% for
different time slots and cities. To capture ES related LC categories in
great detail, deciduous and coniferous forests, cropland, grassland and
bare land were effectively identified. To understand inner urban options
for potential new ES, dense and dispersed built-up areas were
differentiated with good results. In addition, this study focuses on the
differences in the characteristics of urban expansion witnessed in
China and Europe. Our results reveal that urbanisation has been more
intense in the three Chinese cities than in the three European cities,
with an 84% increase in the entire built-up area over the last two
decades. However, our results also show the results of China’s
ecological restoration policies, with a total of 963 km2 of
new green and blue LC created in the last two decades. We proved that
our automatic mapping can be effectively applied to future studies, and
the monitoring results will be useful for consecutive ES analyses aimed
at achieving more environmentally friendly cities. |
dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=24525 |
Banzhaf, E., Wu, W., Luo, X., Knopp, J. (2021): Integrated mapping of spatial urban dynamics—A European-Chinese exploration. Part 1—Methodology for automatic land cover classification tailored towards spatial allocation of ecosystem services features Remote Sens. 13 (9), art. 1744 10.3390/rs13091744 |