The MapScaping Podcast - GIS, Geospatial, Remote Sensing, earth observation and digital geography

Aerial Imagery: The State Of The Art

5 snips
Feb 1, 2023
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Episode notes
1
Introduction
00:00 • 2min
2
Capturing Aerial Imagery - Where Are We Today?
01:49 • 2min
3
Is the State of the Art a New SLR Camera?
03:30 • 2min
4
Capturing 3D Objects With the New Camera?
05:04 • 3min
5
The Limit in Machine Learning
08:19 • 2min
6
Using Machine Learning Models to Improve Machine Learning Training
10:09 • 2min
7
A New Approach to Vector Maps as a Service?
11:48 • 2min
8
Geospatial Stuff Is Pretty Complicated
13:58 • 2min
9
Lineage and Reproducible Results
16:11 • 3min
10
Can We Track Back to Where It Came From?
18:55 • 2min
11
Capture Rate and Reproducible Results
20:27 • 2min
12
Machine Learning - How Do You Know if You've Got a Satellite Data Source?
22:50 • 3min
13
What Is Post Disaster AI?
25:37 • 3min
14
Predicting the Future With Post-Codastrophe AI
28:43 • 2min
15
The Future of Predictive Machine Learning
30:33 • 2min
16
Change Detection
32:14 • 2min
17
How to Predict Change and Identify Meaningful Change
34:42 • 2min
18
Are We Going to Change the World?
36:14 • 3min
19
Are We Sitting Too Low When We Think About Our Human Ability as the Baseline?
39:27 • 2min
20
Is There a Privacy Issue With Street View?
41:32 • 3min
21
Is There a Difference Between a Demo and an Early Stage POC of AI?
44:30 • 3min
22
The Future of AI?
47:15 • 3min
23
Neremap - What's Next?
50:02 • 2min