Recent Publications

November 2016

Gu, Y., Wylie, B.K., Boyte, S.P., Picotte, J.J., Howard, D.M., Smith, K., and Nelson, K.J., 2016, An optimal sample data usage strategy to minimize overfitting and underfitting effects in regression tree models based on remotely sensed data: Remote Sensing, v. 8, no. 11, article number 943, at http://dx.doi.org/10.3390/rs8110943.

Pervez, M.S., and Henebry, G.M., 2016, Differential heating in the Indian Ocean differentially modulates precipitation in the Ganges and Brahmaputra Basins: Remote Sensing, v. 8, no. 11, at http://dx.doi.org/10.3390/rs8110901.

Qin, Y., Xiao, X., Wang, J., Dong, J., Ewing, K., Hoagland, B., Hough, D.J., Fagin, T.D., Zou, Z., Geissler, G.L., Xian, G., and Loveland, T.R., 2016, Mapping annual forest cover in sub-humid and semi-arid regions through analysis of Landsat and PALSAR imagery: Remote Sensing, v. 8, no. 11, article number 933, at http://dx.doi.org/10.3390/rs8110933.

Taye, M.T., Tadesse, T., Senay, G.B., and Block, P., 2016, The Grand Ethiopian Renaissance Dam—Source of cooperation or contention?: Journal of Water Resources Planning and Management, v. 142, no. 11, at http://dx.doi.org/10.1061/(ASCE)WR.1943-5452.0000708.

Tredennick, A.T., Hooten, M.B., Aldridge, C.L., Homer, C.G., Kleinhesselink, A.R., and Adler, P.B., 2016, Forecasting climate change impacts on plant populations over large spatial extents: Ecosphere, v. 7, no. 10, article number A53, at http://dx.doi.org/10.1002/ecs2.1525/full.

Wickham, J., Nash, M.S., and Barnes, C.A., 2016, Effect of land cover change on snow free surface albedo across the continental United States: Global and Planetary Change, v. 146, p. 1-9, at http://dx.doi.org/10.1016/j.gloplacha.2016.09.005.

Wylie, B.K., Howard, D.M., Dahal, D., Gilmanov, T.G., Ji, L., Zhang, L., and Smith, K., 2016, Grassland and cropland net ecosystem production of the U.S. Great Plains: Regression tree model development and comparative analysis: Remote Sensing, v. 8, no. 11, article number 944, at http://dx.doi.org/10.3390/rs8110944.

Zhu, Z., Gallant, A.L., Woodcock, C.E., Pengra, B.W., Olofsson, P., Loveland, T.R., Jin, S., Dahal, D., Yang, L., and Auch, R.F., 2016, Optimizing selection of training and auxiliary data for operational land cover classification for the LCMAP initiative: ISPRS Journal of Photogrammetry and Remote Sensing, v. 122, p. 206-221, at http://dx.doi.org/10.1016/j.isprsjprs.2016.11.004.

 

October 2016

Boyte, S.P., and Wylie, B.K., 2016, Near-real-time cheatgrass percent cover in the Northern Great Basin, USA, 2015: Rangelands, v. 38, no. 5, p. 278-284, at http://dx.doi.org/10.1016/j.rala.2016.08.002.

Golon, D.K., 2016, The Land Processes Distributed Active Archive Center (LP DAAC): U.S. Geological Survey Fact Sheet 2016–3070, 2 p., http://dx.doi.org/10.3133/fs20163070.

Langseth, M.L., Chang, M.Y., Carlino, J., Bellmore, J.R., Birch, D.D., Bradley, J., Bristol, R.S., Buscombe, D.D., Duda, J.J., Everette, A.L., Graves, T.A., Greenwood, M.M., Govoni, D.L., Henkel, H.S., Hutchison, V.B., Jones, B.K., Kern, T., Lacey, J., Lamb, R.M., Lightsom, F.L., Long, J.L., Saleh, R.A., Smith, S.W., Soulard, C.E., Viger, R.J., Warrick, J.A., Wesenberg, K.E., Wieferich, D.J., and Winslow, L.A., 2016, Community for Data Integration 2015 annual report: U. S. Geological Survey Open-File Report 2016-1165, 57 p., at http://dx.doi.org/10.3133/ofr20161165.

Micijevic, E., Haque, M.O., and Mishra, N., 2016, Radiometric calibration updates to the Landsat collection, in Butler, J.J., Xiong, X., and Gu, X., eds., Earth Observing Systems XXI, San Diego, Calif., 28 August 2016, Proceedings of SPIE Vol. 9972: Bellingham, Wash., Society of Photo-Optical Instrumentation Engineers (SPIE), p. 99720D-99720D-12, article number 2554413, at http://dx.doi.org/10.1117/12.2239426.

Pengra, B.W., Gallant, A.L., Zhu, Z., and Dahal, D., 2016, Evaluation of the initial thematic output from a continuous change-detection algorithm for use in automated operational land-change mapping by the U.S. Geological Survey: Remote Sensing, v. 8, no. 10, paper number 811, at http://dx.doi.org/10.3390/rs8100811.

Peterson, B.E., and Nelson, K.J., 2016, Enhanced canopy fuel mapping by integrating lidar data: U.S. Geological Survey Fact Sheet 2015–3086, 2 p., http://dx.doi.org/10.3133/fs20153086.

Sayler, K.L., Acevedo, W., and Taylor, J.L., eds., 2016, Status and trends of land change in the Eastern United States—1973 to 2000: U.S. Geological Survey Professional Paper 1794-D, 195 p., at http://dx.doi.org/10.3133/pp1794D.

Senay, G.B., Friedrichs, M., Singh, R.K., and Velpuri, N.M., 2016, Evaluating Landsat 8 evapotranspiration for water use mapping in the Colorado River Basin: Remote Sensing of Environment, v. 185, p. 171-185, at http://dx.doi.org/10.1016/j.rse.2015.12.043.

 

September 2016

Sayler, K.L., Acevedo, W., and Taylor, J.L., 2016, Status and trends of land change in selected U.S. Ecoregions - 2000 to 2011: Photogrammetric Engineering and Remote Sensing, v. 82, no. 9, p. 687-697, at http://dx.doi.org/10.14358/pers.82.9.687.

Schauer, M., Senay, G.B., and Friedrichs, M., 2016, Mapping 30 years of evapotranspiration using the Landsat Archive, presentation at Esri User Conference, San Diego, Calif., 27 June - 1 July 2016: Redlands, Calif., Esri, at http://proceedings.esri.com/library/userconf/proc16/abstracts/a159.html.

Schleeweis, K., Goward, S.N., Huang, C., Dwyer, J.L., Dungan, J.L., Lindsey, M.A., Michaelis, A., Rishmawi, K., and Masek, J.G., 2016, Selection and quality assessment of Landsat data for the North American forest dynamics forest history maps of the US: International Journal of Digital Earth, v. 9, no. 10, p. 963-980, at http://dx.doi.org/10.1080/17538947.2016.1158876.

Velpuri, N.M., Senay, G.B., and Morisette, J.T., 2016, Evaluating new SMAP soil moisture for drought monitoring in the rangelands of US High Plains: Rangelands, v. 38, no. 4, p. 183-190, at http://www.sciencedirect.com/science/article/pii/S0190052816300244.

 

August 2016

Auch, R.F., 2016, The gradient of land-use intensity across the Greater Ozarks [abs.], in Annual Meeting, San Francisco, Calif., 29 March - 2 April, 2016, Proceedings: Washington, D.C., Association of American Geographers, abstract ID 71795, at http://meridian.aag.org/callforpapers/program/AbstractDetail.cfm?AbstractID=71795.

Gesch, D.B., Oimoen, M.J., Danielson, J.J., and Meyer, D.J., 2016, Validation of the ASTER Global Digital Elevation Model Version 3 over the conterminous United States, in Halounova, L., Šafář, V., Jiang, J., Olešovská, H., Dvořáček, P., Holland, D., Seredovich, V.A., Muller, J.-P., Pattabhi Rama Rao, E.P.R., Veenendaal, B., Mu, L., Zlatanova, S., Oberst, J., Yang, C.P., Ban, Y., Stylianidis, S., Voženílek, V., Vondráková, A., Gartner, G., Remondino, F., Doytsher, Y., Percivall, G., Schreier, G., Dowman, I., Streilein, A., and Ernst, J., eds., XXIII ISPRS Congress, Commission IV, Prague, Czech Republic, 12-19 July 2016, ISPRS Archives, XLI-B4: Lemmer, Netherlands, International Society for Photogrammetry and Remote Sensing, p. 143-148, at http://dx.doi.org/10.5194/isprs-archives-XLI-B4-143-2016.

Loveland, T.R., and Irons, J.R., in press, Landsat 8—The plans, the reality, and the legacy: Remote Sensing of Environment, p. 0-0, at http://dx.doi.org/10.1016/j.rse.2016.07.033.

Storey, J.C., Roy, D.P., Masek, J., Gascon, F., Dwyer, J.L., and Choate, M.J., 2016, A note on the temporary misregistration of Landsat-8 Operational Land Imager (OLI) and Sentinel-2 Multi Spectral Instrument (MSI) imagery: Remote Sensing of Environment, v. 186, p. 121-122, at http://dx.doi.org/10.1016/j.rse.2016.08.025.

U.S. Geological Survey, 2016, Landsat brings understanding to the impact of industrialization: U.S. Geological Survey Fact Sheet 2016–3054, 2 p., http://dx.doi.org/10.3133/fs20163054.

U.S. Geological Survey, 2016, Landsat helps bolster food security: U.S. Geological Survey Fact Sheet 2016–3060, 2 p., http://dx.doi.org/10.3133/fs20163060.

U.S. Geological Survey, 2016, Landsat plays a key role in reducing hunger on Earth: U.S. Geological Survey Fact Sheet 2016–3059, 2 p., http://dx.doi.org/10.3133/fs20163059.

U.S. Geological Survey, 2016, Urban planners and urban geographers turn to Landsat for answers: U.S. Geological Survey Fact Sheet 2016–3056, 2 p., http://dx.doi.org/10.3133/fs20163056.

Fact Sheet 2016-3056

 

 

July 2016

Auch, R.F., Drummond, A.M., Xian, G., Sayler, K.L., Acevedo, W., and Taylor, J.L., 2016, Regional differences in upland forest to developed (urban) land cover conversions in the conterminous U.S., 1973–2011: Forests, v. 7, no. 7, at http://dx.doi.org/10.3390/f7070132.

Boyte, S.P., Wylie, B.K., and Major, D.J., 2016, Cheatgrass percent cover change—Comparing recent estimates to climate change-driven predictions in the Northern Great Basin: Rangeland Ecology & Management, v. 69, no. 4, p. 265-279, at http://dx.doi.org/10.1016/j.rama.2016.03.002.

Long, J.B., Giri, C.P., Primavera, J., and Trivedi, M., 2016, Damage and recovery assessment of the Philippines' mangroves following Super Typhoon Haiyan: Marine Pollution Bulletin, v. 109, no. 2, p. 734-743, at http://dx.doi.org/10.1016/j.marpolbul.2016.06.080.

Sohl, T.L., Reker, R.R., Bouchard, M.A., Sayler, K.L., Dornbierer, J., Wika, S., Quenzer, R.J., and Friesz, A.M., 2016, Modeled historical land use and land cover for the conterminous United States: Journal of Land Use Science, v. 11, no. 4, p. 476-499, at http://dx.doi.org/10.1080/1747423X.2016.1147619.

Sohl, T.L., Wimberly, M.C., Radeloff, V.C., Theobald, D.M., and Sleeter, B.M., in press, Divergent projections of future land use in the United States arising from different models and scenarios: Ecological Modelling, p. 0-0, at http://dx.doi.org/10.1016/j.ecolmodel.2016.07.016.

U.S. Geological Survey, 2016, Landsat—The watchman that never sleeps: U.S. Geological Survey Fact Sheet 2016–3045, 2 p., http://dx.doi.org/10.3133/fs20163045.

Fact Sheet 2016-3045

U.S. Geological Survey, 2016, When wildfire damage threatens humans, Landsat provides answers: U.S. Geological Survey Fact Sheet 2016–3044, 2 p., http://dx.doi.org/10.3133/fs20163044.

 

June 2016

Cotillon, S., and Mathis, M.L., 2016, Tree Cover Mapping Tool—Documentation and user manual (ver. 1.0, March 2016): U.S. Geological Survey Open-File Report 2016-1067, 11 p., at http://dx.doi.org/10.3133/ofr20161067.

Liu, J., Sleeter, B.M., Zhu, Z., Heath, L.S., Tan, Z., Wilson, T.S., Sherba, J., and Zhou, D., 2016, Estimating carbon sequestration in the Piedmont ecoregion of the United States from 1971 to 2010: Carbon Balance and Management, v. 11, no. 10, at http://dx.doi.org/10.1186/s13021-016-0052-y.     

U.S. Geological Survey, 2016, Mapping water use—Landsat and water resources in the United States: U.S. Geological Survey Fact Sheet 2016–3037, 2 p., http://dx.doi.org/10.3133/fs20163037.

Fact Sheet 2016-3037

 

Verdin, J.P., Verdin, K., Mathis, M.L., Magadzire, T., Kabuchanga, E., Woodbury, M., and Gadain, H., 2016, A software tool for rapid flood inundation mapping: U.S. Geological Survey Open-File Report 2016-1038, 26 p., at http://dx.doi.org/10.3133/ofr20161038.

Wylie, B.K., Pastick, N.J., Johnson, K.D., Bliss, N.B., and Genet, H., 2016, Soil carbon and permafrost estimates and susceptibility to climate change in Alaska, chap. 3 in Zhu, Z., and McGuire, A.D., eds., Baseline and projected future carbon storage and greenhouse-gas fluxes in ecosystems of Alaska: U.S. Geological Survey Professional Paper 1826, p. 53-76, at http://dx.doi.org/10.3133/pp1826.

 

May 2016

Jepsen, S.M., Walvoord, M.A., Voss, C.I., and Rover, J., 2016, Effect of permafrost thaw on the dynamics of lakes recharged by ice-jam floods—Case study of Yukon Flats, Alaska: Hydrological Processes, v. 30, no. 11, p. 1782-1795, at http://dx.doi.org/10.1002/hyp.10756.   

Zhu, Z., Fu, Y., Woodcock, C.E., Olofsson, P., Vogelmann, J.E., Holden, C., Wang, M., Dai, S., and Yu, Y., in press, Including land cover change in analysis of greenness trends using all available Landsat 5, 7, and 8 images—A case study from Guangzhou, China (2000-2014): Remote Sensing of Environment, at http://dx.doi.org/10.1016/j.rse.2016.03.036.