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Publications Citing LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2

The following 15 publications cited the product LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2.

Year Citation
2017 Adhikari, Pradeep; de Beurs, Kirsten M. (2017) Growth in urban extent and allometric analysis of West African cities.Journal of Land Use Science. 12(42769): 105-124. http://dx.doi.org/10.1080/1747423X.2017.1280550
2017 Fuchs, Michael; Awan, Adnan A.; Akhtar, Sardar S.; Ahmad, Ijaz; Sadiq, Simon; Razzak, Asif; Haider, Naghmah (2017) Lithological mapping with multispectral data – setup and application of a spectral database for rocks in the Balakot area, Northern Pakistan.Journal of Mountain Science. 14(5): 948-963. http://dx.doi.org/10.1007/s11629-016-4101-5
2016 Dvorett, Daniel;Davis, Craig;Pape?, Monica; (2016) Mapping and Hydrologic Attribution of Temporary Wetlands Using Recurrent Landsat Imagery.Wetlands. 36(3): 431-443. http://dx.doi.org/10.1007/s13157-016-0752-9
2016 Fetene, Aramde;Hilker, Thomas;Yeshitela, Kumelachew;Prasse, Ruediger;Cohen, Warren;Yang, Zhiqiang; (2015) Detecting Trends in Landuse and Landcover Change of Nech Sar National Park, Ethiopia.Environmental Management. 57(1): 137-147. http://dx.doi.org/10.1007/s00267-015-0603-0
2016 Gizachew, Belachew;Solberg, Svein;Næsset, Erik;Gobakken, Terje;Bollandsås, Ole Martin;Breidenbach, Johannes;Zahabu, Eliakimu;Mauya, Ernest William; (2016) Mapping and estimating the total living biomass and carbon in low-biomass woodlands using Landsat 8 CDR data.Carbon Balance and Management. 11(1): . http://dx.doi.org/10.1186/s13021-016-0055-8
2016 Mantas, Vasco M.;Marques, João Carlos;Pereira, Alcides J.S.C.; (2016) A geospatial approach to monitoring impervious surfaces in watersheds using Landsat data (the Mondego Basin, Portugal as a case study).Ecological Indicators. 71(): 449-466. http://dx.doi.org/10.1016/j.ecolind.2016.07.013
2016 Mitraka, Zina;Del Frate, Fabio;Carbone, Francesco; (2016) Nonlinear Spectral Unmixing of Landsat Imagery for Urban Surface Cover Mapping.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(7): 3340-3350. http://dx.doi.org/10.1109/JSTARS.2016.2522181
2015 Danelichen, Victor H.M.; Biudes, Marcelo S.; Velasque, Maisa C.S.; Machado, Nadja G.; Gomes, Raphael S.R.; Vourlitis, George L.; Nogueira, Jose S. (2015). Estimating of gross primary production in an Amazon-Cerrado transitional forest using MODIS and Landsat imagery, Anais da Academia Brasileira de Ciências, 87 (). http://dx.doi.org/10.1590/0001-3765201520140457
2015 Mitraka, Z.; Del Frate, F.; Carbone, F. (2015). Spectral unmixing of urban Landsat imagery by means of neural networks, 2015 Joint Urban Remote Sensing Event (JURSE), (). http://dx.doi.org/10.1109/JURSE.2015.7120463
2015 Zhao, Yi; Chen, XinPing; Cui, ZhenLing; Lobell, David B. (2015). Using satellite remote sensing to understand maize yield gaps in the North China Plain, Field Crops Research, 183 (). http://dx.doi.org/10.1016/j.fcr.2015.07.004
2014 Byrd, Kristin B.; OConnell, Jessica L.; Di Tommaso, Stefania and Kelly, Maggi. (2014) Evaluation of sensor types and environmental controls on mapping biomass of coastal marsh emergent vegetation. Remote Sensing of Environment. 149: 166-180. . http://dx.doi.org/10.1016/j.rse.2014.04.003
2014 Hajj, Mohammad El; Baghdadi, Nicolas; Belaud, Gilles; Zribi, Mehrez; Cheviron, Bruno; Courault, Dominique; Hagolle, Olivier and Charron, François. (2014) Irrigated grassland monitoring using a time series of terraSAR-X and COSMO-skyMed X-Band SAR Data. Remote Sensing. 6(10): 10002-10032. . http://dx.doi.org/10.3390/rs61010002
2014 Wilson, Courtney R and Brown, Daniel G. (2014) Change in visible impervious surface area in southeastern Michigan before and after the “Great Recession:” spatial differentiation in remotely sensed land-cover dynamics. Population and Environment. 36(3): 331-355. . http://dx.doi.org/10.1007/s11111-014-0219-y
2013 Parece T., Campbell, James.; (2013) Comparing Urban Impervious Surface Identification Using Landsat and High Resolution Aerial Photography. Remote Sensing. 5 (10): 4942-4960. http://dx.doi.org/10.3390/rs5104942
2013 Wilson C.R. (2013) Evaluating Satellite-Observed Changes in Impervious Surface Cover in Relation to Economic Changes and Spatially Variable Socioeconomic Conditions in Census Data in Southeastern Michigan. University of Michigan, Department of Natural Resources and Environment..