Roy, D.P., J. Ju, K. Kline, P.L. Scaramuzza, V. Kovalskyy, M. Hansen,
T.R. Loveland, E. Vermote, and C. Zhang, 2010. Web-enabled
Landsat Data (WELD): Landsat ETM+
composited mosaics of the
conterminous United States,
Remote Sensing of Environment
,
114(1):35–49.
Ryan, K.C., and T.S. Opperman, 2013. LANDFIRE - A national
vegetation/fuels data base for use in fuels treatment, restoration,
and suppression planning,
Forest Ecology and Management
,
294(1):208–216.
Scaramuzza, P.L., M.A. Bouchard, and J.L. Dwyer, 2012. Development
of the Landsat data
continuity mission cloud-cover assessment
algorithms,
IEEE Transactions on Geoscience and Remote
Sensing
, 50(4):1140–1154.
Schmidt, G., C. Jenkerson, J. Masek, E. Vermote, and F. Gao, 2013.
Landsat Ecosystem Disturbance Adaptive Processing System
(LEDAPS) Algorithm Description
, US Geological Survey, Open
File Report 2013-1057, Reston, Virginia, pp. 27.
Sebastiani, F., 2002. Machine learning in automated text
categorization,
ACM Computing Surveys
, 34(1):1–47.
Snyder, J.P., 1987.
Map Projection: A Working Manual
, US Geological
Survey, Professional Paper 1395, Washington, D.C., pp. 383.
Storey, J., P. Scaramuzza, G. Schmidt, and J. Barsi, 2005. Landsat 7 scan
line corrector-off gap-filled product development,
Proceedings of
Pecora 16 Global Priorities in Land Remote Sensing
, Sioux Falls,
South Dakota, American Society for Photogrammetry and Remote
Sensing, Bethesda, Maryland, pp. 23–27.
Storey, J.C., and M.J. Choate, 2004. Landsat-5 bumper-mode geometric
correction,
IEEE Transactions on Geoscience and Remote
Sensing
, 42(12):2695–2703.
United States Geological Survey, 2014.
Earth Resources Observation
and Science Center Science Processing Architecture On Demand
Interface User Guide
, URL:
espa_odi_userguide.pdf
(last date accessed: 13 May 2015).
Vogelmann, J.E., J.R. Kost, B. Tolk, S. Howard, K. Short, X. Chen, C.
Huang, K. Pabst, and M.G. Rollins, 2011. Monitoring landscape
change for LANDFIRE using multi-temporal
satellite imagery
and ancillary data,
IEEE Journal of Selected Topics in Applied
Earth Observations and Remote Sensing
, 4(2):252–264.
Wijedasa, L.S., S. Sloan, D.G. Michelakis, and G.R. Clements, 2012.
Overcoming limitations with Landsat imagery for mapping of peat
swamp forests in Sundaland,
Remote Sensing
, 4(12):2595–2618.
Woodcock, C.E., R. Allen, M. Anderson, A. Belward, R. Bindschadler,
W. Cohen, F. Gao, S.N. Goward, D. Helder, E. Helmer, R. Nemani,
L. Oreopoulos, J. Schott, P.S. Thenkabail, E.F. Vermote, J.
Vogelmann, M.A. Wulder, and R. Wynne, 2008. Free access to
Landsat
imagery,
Science
, 320(5879):1011.
Wulder, M.A., S.M. Ortlepp, J.C. White, and S. Maxwell, 2008.
Evaluation of Landsat-7 SLC-off image products for forest change
detection,
Canadian Journal of Remote Sensing
, 34(2):93–99.
Zhu, Z., B. Bergmaschi, R. Bernknopf, D. Clow, D. Dye, S. Faulkner,
W. Forney, R. Gleason, T. Hawbaker, J. Liu, S. Liu, S. Prisley, B.
Reed, M. Reeves, M. Rollins, B. Sleeter, T. Sohl, S. Stackpoole, S.
Stehman, R. Striegl, and A. Wein, 2010.
A Method for Assessing
Carbon Stocks, Carbon Sequestration, and Greenhouse-Gas
Fluxes in Ecosystems of the United States Under Present
Conditions and Future Scenarios
, U.S. Geological Survey,
Scientific Investigations Report 2010-5233, Reston, Virginia, pp.
188.
Zhu, Z., and C.E. Woodcock, 2012. Object-based cloud and cloud
shadow detection in Landsat
imagery,
Remote Sensing of
Environment
, 118(1):83–94.
(Received 20 June 2014; accepted 17 September 2014; final
version 19 February 2015)
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July 2015
PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
