Just an analyst looking at the world
In most cases as a geospatial analyst I use ENVI and IDL to
look at the world in a rather flat and two dimensional aspect when it comes to
data analytics. However, LiDAR, drones, advancements in photogrammetry, and
temporal analytics within ENVI have given me the ability to analyze data in new
ways that were previously too time consuming, difficult, or simply not available.
I can use tools like the photogrammetry suite to create
dense point clouds over areas that it would be difficult to attain the same
fidelity, or even fly over with airborne platforms. As small satellites come
online they will give us coverage and revisit times unlike anything we’ve had
What will we do with all that data?
Utilizing the spatiotemporal tools in ENVI, we can gain
information from days, weeks, months, or years’ worth of collects that classic
change detection analytics would not support.
Point cloud drone collect Temporal analysis
LiDAR data has become more available for analyst, and we need
to be able to exploit it beyond looking at a bunch of points. Using the ENVI
LiDAR tools, you can quickly and easily build robust elevation models to be
used for everthing from creating an ortho-mosaic to a line-of-sight analysis.
We can also extract 3D models for modeling and simulation, or building scenes
for decsion making.
Collada models from ENVI LiDAR
DSM and building vectors from LiDAR point cloud
I can also take advantage of IDL to build out custom tools
that enable me to become a more efficient analyst. For example, I can create a
tool to ingest a point cloud that gives me multiple products, where before I would
have needed to create them individually. I also won’t have to rewrite my code
over again when I’m ready to move to the enterprise thanks to the new ENVI task
Custom tool combing multiple task
ENVI is not only allowing analyst to respond to various
problem sets more efficiently, but also to ENVI enables analysts to do things
that just weren’t possible a few years ago. Though the exploitation and types
of data is forever changing at a rapid pace, ENVI is leading the charge to
remain an industry standard for analytics.