![](bg8.png)
into account several operational constraints. Some of
these have not been addressed in literature before
but are required to realistically model mission
requirements. The model can be tackled with
optimization tools. Given its complexity heuristic
approaches should also be explored.
Further research also includes the extension of
the proposed model to consider polygon areas and to
model other constraints such as agility, storage
capacity and inherent uncertainties in the scenario.
Finally, if the considered satellite constellation
does not fulfill the scenario requirements it is
important to determine the best orbit/sensor
parameters to fill the identified gaps. The result is
expected to help Brazilian decision makers in future
acquisitions.
ACKNOWLEDGEMENTS
The authors would like to thank Harm-Pieter Gijsen
and Travis J. Pond for their collaboration in
developing the MATLAB program so far.
REFERENCES
DPI. AMBDATA: Administrative Units. In:
http://www.dpi.inpe.br/Ambdata/English/adm_units.p
hp. Accessed: September 2017.
Brekke, C., Solberg, A. H. S. Oil spill detection by
satellite remote sensing. Remote sensing of
environment, 95, 2005, p. 1-13.
Butler, R. Calculating deforestation figures for the
Amazon. 2017. In: http://rainforests.mongabay.
com/amazon/deforestation_calculations.html.
Accessed: August 2017.
Chiaradia, A. P. M, Kuga, H. K., Masago, B. Y. P. L.Short
arcs orbit determination using GPS. 11
th
International
Conference on Vibration Problems, Lisbon, Portugal,
September 2013.
Gagne, D., Lucrative Cocaine Trade Fuels Gang Presence
in Brazil's Amazon, 2017. In:
http://www.insightcrime.org/news-briefs/lucrative-
cocaine-trade-fuels-gang-presence-brazil-amazon.
Accessed: August 2017.
Global Forest Watch. Open data. 2017. In:
http://data.globalforestwatch.org/datasets/4160f715e12
d46a98c989bdbe7e5f4d6_1. Accessed: August 2017.
INPE. INPE releases DETER outcomes. 2012. In:
http://www.inpe.br/ingles/news/news.php?Cod_Notici
a=343. Accessed: August 2017.
INPE. National Institute for Space Research. 2017. In:
http://www.inpe.br/ingles/. Accessed: August 2017.
IPIECA. Satellite remote sensing of oil spills at sea. Good
practice guidelines for the application of satellite
remote sensing during oil spill response operations.
2016. In: http://www.oilspillresponseproject.org/wp-
content/uploads/2017/01/Satellite_remote_sensing_20
16.pdf. Accessed: August 2017.
Kim, H. and Chang, Y. K. Mission scheduling
optimization of SAR satellite constellation for
minimizing system response time. Aerospace Science
and Technology, v. 40, p. 17-32, 2015.
Marinelli, F., Nocella, S., Rossi, F. and Smriglio, S. A
Lagrangian heuristic for satellite range scheduling
with resource constraints. Computers & Operations
Research, v. 40, p. 1572-1583, 2011.
Niu, X., Tang, H., Wu, L., Deng, R, Zhai, X. Imaging-
duration embedded dynamic scheduling of Earth
observation satellites for emergent events.
Mathematical Problems in Engineering, v. 2015, 31
pages, 2015.
Petrobrás. Basin. 2017. In: http://www.petrobras.com.br/
en/our-activities/main-operations/basins/. Accessed:
August 2017.
Reuner, R. Introdution to Remote Sensing: Satellites and
Resolution. 2017a. In: http://lms.seos-
project.eu/learning_modules/remotesensing/remotesen
sing-c00-p01.html. Accessed: August 2017.
Reuner, R. Manine Pollution: Supplement 3.6: MERIS.
2017b. In: http://www.seos-project.eu/modules/
marinepollution/marinepollution-c03-s06-p01.html.
Accessed: August 2017.
SatCen. General crime and security surveillance. 2017. In:
https://www.satcen.europa.eu/services/general_crime_
and_security_surveillance. Accessed: September 2017.
Sundar, K., Qin, J., Rathinam, S., Ntaimo, L., Darbha, S.
and Valicka, C. Algorithms for a satellite constellation
scheduling problem. In: 2016 IEEE International
Conference on Automation Science and Engineering
(CASE), TX, USA, August 21-24, p. 373-378, 2016.
Toth, P., Vigo, D, eds. Vehicle routing: problems,
methods, and applications. Society for Industrial and
Applied Mathematics, 2
nd.
Edition, 2014.
Wang, P. and Reinelt, G. Solving the Earth Observing
Satellite Constellation Scheduling Problem by Branch-
and-Price. Operations Research Proceedings 2010.
Springer, Berlin, Heidelberg, p. 491-496, 2011.
Wang, P., Reinelt, G., Gao, P. and Tan, Y. A model, a
heuristic and a decision support system to solve the
scheduling problem of an earth observing satellite
constellation, Computers & Industrial Engineering, V.
61, p. 322-335, 2011.
Wertz, J. R. Orbit & Constellation, Design &
Management. Space Technology Library.
Microcosm/Kluwer, 2
nd
print, 2009. 968 pages.
Wertz, J. R. and Larson, W. J. Space mission analysis and
design. Space Technology Library. 3
rd
printa, 1999.
976 pages.
Zhai, X., Niu, X., Tang, H., Wu, L. and Shen, Y. Robust
satellite scheduling approach for dynamic emergency
tasks. Mathematical Problems in Engineering, v.
2015, 20 pages, 2015.
A New Model Proposal for Integrated Satellite Constellation Scheduling within a Planning Horizon given Operational Constraints
319