The document discusses using Python IDLE (Integrated Development and Learning Environment) for developing complex algorithms for remote sensing, hydrological, and meteorological applications. It provides examples of how to import modules, write equations, perform conditional statements, loops, and monitor pixel values during algorithm simulation in Python IDLE. Python IDLE allows integrating algorithms with ArcGIS and performing tasks like iterative processes and complex modeling that can be difficult in other environments like ENVI or ERDAS Imagine.
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Python IDLE (Integrated Development and Learning Environment) for remote sensing, hydrological and meteorological applications
1. 4/14/2016 Python IDLE (Integrated Development and Learning Environment) for remote sensing, hydrological and meteorological applications | Ramesh Dhungel | L…
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Python IDLE (Integrated Development and Learning
Environment) for remote sensing, hydrological and
meteorological applications
Apr 14, 2016 87 views 0 Likes 0 Comments
This post will discuss about Python IDLE (Integrated Development Environment
or Integrated Development and Learning Environment), especially for the
meteorological and hydrological applications. Image processing environment like
ERDAS Imagine, ENVI had been widely used in remote sensing community as
well as Matlab and R. But, there is a very little discussion about the Python IDLE
integrated with ArcGIS, basically with ArcScrit or ArcPy. It can be difficult to
implement looping and iterative process in ModelBuilder of ArcGIS, ERDAS
Imagine and ENVI, then the role comes of the Python IDLE. ERDAS Image
Model Maker can also be messy if you are developing complex algorithms. Python
IDLE not only can handle these complex processes in elegant way, but it will
provide a dynamic environment for advance algorithm development. I have been
working on the algorithm development of Land surface model using Python IDLE
to compute evapotranspiration (ET), agricultural water management, irrigation
Ramesh Dhungel
Water Resources, Remote Sensing and Land
Surface Modeler (LSM) (Ph.D. Civil Engineering)
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