Photos | Urban Complexity: A Cranes, Fog & Constructionscape

Aerial view of a sprawling urban landscape shrouded in fog, highlighting construction with cranes and transport infrastructure, captured in 2024.
Full Description:
Captured on the 11th of May, 2024, this image provides an aerial perspective of a dense urban setting blanketed in a light fog. The foreground shows robust greenery adding a touch of nature amidst the urban sprawl. Visible are multiple construction cranes, signifying ongoing development, and heavy industrial areas marked by cargo containers and infrastructure. The scene extends to a busy transportation network with intertwining roads and a bridge, illustrating the bustling movement typical of a metropolis. A ship is visible in the distance, reinforcing the city's connectivity to maritime trade. This photograph is part of the Tilden Steam Trains and Merry-go-round album and encapsulates themes of nature, transportation, and urban construction under diverse weather conditions.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
100
metering mode
5
aperture
f/8
focal length
500mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2024-05-11T16:21:27.090000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(28.08%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.28%)
failure
(-3.03%)
harmonious color
(-0.91%)
immersiveness
(0.78%)
interaction
(2.00%)
interesting subject
(-55.27%)
intrusive object presence
(-5.27%)
lively color
(-28.17%)
low light
(4.15%)
noise
(-0.73%)
pleasant camera tilt
(-9.18%)
pleasant composition
(-43.53%)
pleasant lighting
(-76.46%)
pleasant pattern
(1.15%)
pleasant perspective
(17.27%)
pleasant post processing
(-1.02%)
pleasant reflection
(-6.82%)
pleasant symmetry
(0.32%)
sharply focused subject
(0.07%)
tastefully blurred
(-10.38%)
well chosen subject
(2.80%)
well framed subject
(-19.42%)
well timed shot
(4.49%)
all
(-7.46%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-turbo-2024-04-09
from
OpenAI)
using OpenAI's Vision functionality
, tags,
location,
people
and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
just reach out.