IEEE Geoscience and Remote Sensing Magazine - September 2019 - Cover4

REMOTE SENSING CODE LIBRARY
(RSCL)

WHAT IS RSCL?
RSCL is a publication of IEEE GRSS, just like the GRSS Transactions and the GRSS Newsletter, but its currency is
computer codes associated with one or more aspect of geoscience remote sensing.
WHAT TYPES OF CODES?
a) Instrument-Related: Processing, calibration, deconvolution, etc.
b) Application: Relating scene geophysical parameters to sensor output (direct problem) or vice versa
(inverse problem)
The codes are organized by:
a) Wavelength range (visible, IR, microwave)
b) Sensor type (active, passive, GPS, etc.)
c) Application area (ocean salinity, topography, atmospheric temperature profile, etc.)
WHERE DID THE CODES COME FROM?
The RSCL codes were developed and then submitted by members of the GRSS community. All codes undergo a
thorough review process before they are accepted and published.
WHO CAN USE THE CODES?
Anyone interested in geoscience remote sensing.
ARE THE CODES CITABLE?
Absolutely. Published codes are assigned DOI numbers, just like journal articles. When journal article authos
use a code in support of their article, they are expected to cite that code, thereby giving the code author credit
for developing it and making it available for use by other members of the GRSS community.
CAN I SUBMIT A CODE?
Yes, the instructions are available at: https://rscl-grss.org/index.php
WHAT ARE SOME EXAMPLES OF RSCL CODES?
DOI: 10.21982/M8S62C] Asymptotic methods for microwave scattering
Nouguier, Frederic, Chapron, Bertrand and Mouche, Alexis
[DOI: 10.21982/M81013] Line-by-line microwave radiative transfer (non-scattering)
Rosenkranz, Philip
[DOI: 10.21982/M8JS3F] MCC Motion Algorithm The Maximum Cross-correlation,
Emery, William and Jianfei Liu
[DOI: 10.21982/M8W888] Multiple Layers Single Reflections
Cardellach, Estel and Fabra, Fran

For more information, contact the RSCL Editor,
Prof. Fawwaz Ulaby at ulaby@umich.edu
Digital Object Identifier 10.1109/MGRS.2019.2937665



https://www.rscl-grss.org/index.php

IEEE Geoscience and Remote Sensing Magazine - September 2019

Table of Contents for the Digital Edition of IEEE Geoscience and Remote Sensing Magazine - September 2019

Contents
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