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Landsat Science Team members are national and international leaders in land remote sensing, and evaluate operational and data management strategies to meet the requirements of all Landsat users, including the needs of policy makers at all levels of government. Team rosters and meeting agendas can be viewed on the Landsat Science Team page. This page contains items published by Landsat Science Team members - journal articles, book sections, reports, and conference presentations.

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Abdalati, W., Zwally, H.J., Bindschadler, R., Csatho, B., Farrell, S.L., Fricker, H.A., Harding, D., Kwok, R., Lefsky, M., et al., 2010, The ICESat-2 Laser Altimetry Mission: Proceedings of the IEEE, v. 98, no. 5, p. 735-751, at http://dx.doi.org/10.1109/JPROC.2009.2034765.

Achberger, C., Ackerman, S.A., Ahlstrøm, A., Alfaro, E.J., Allan, R.J., Alves, L., Amador, J.A., Amelie, V., Andrianjafinirina, S., et al., 2011, State of the climate in 2010: Bulletin of the American Meteorological Society, v. 92, no. 6, p. S1-S236, at http://dx.doi.org/10.1175/1520-0477-92.6.S1.

Achberger, C., Ackerman, S.A., Albanil, A., Alexander, P., Alfaro, E.J., Allan, R., Alves, L.M., Amador, J.A., Ambenje, P., et al., 2013, State of the climate in 2012: Bulletin of the American Meteorological Society, v. 94, no. 8, p. S1-S238, at http://dx.doi.org/10.1175/2013BAMSStateoftheClimate.1.

Agam, N., Kustas, W.P., Anderson, M.C., Li, F., and Colaizzi, P.D., 2008, Utility of thermal image sharpening for monitoring field-scale evapotranspiration over rainfed and irrigated agricultural regions: Geophysical Research Letters, v. 35, no. 2, citation number L02402, at http://dx.doi.org/10.1029/2007GL032195.

Agam, N., Kustas, W.P., Anderson, M.C., Li, F., and Colaizzi, P.D., 2007, Utility of thermal sharpening over Texas high plains irrigated agricultural fields: Journal of Geophysical Research D—Atmospheres, v. 112, no. 19, citation number D19110, at http://dx.doi.org/10.1029/2007JD008407.

Agam, N., Kustas, W.P., Anderson, M.C., Li, F., and Neale, C.M.U., 2007, A vegetation index based technique for spatial sharpening of thermal imagery: Remote Sensing of Environment, v. 107, no. 4, p. 545-558, at http://dx.doi.org/10.1016/j.rse.2006.10.006.

Agam, N., Kustas, W.P., Anderson, M.C., Norman, J.M., Colaizzi, P.D., Howell, T.A., Prueger, J.H., Meyers, T.P., and Wilson, T.B., 2010, Application of the Priestley-Taylor approach in a two-source surface energy balance model: Journal of Hydrometeorology, v. 11, no. 1, p. 185-198, at http://dx.doi.org/10.1175/2009JHM1124.1.

Aghakouchak, A., Farahmand, A., Melton, F.S., Teixeira, J., Anderson, M.C., Wardlow, B.D., and Hain, C.R., 2015, Remote sensing of drought—Progress, challenges and opportunities: Reviews of Geophysics, v. 53, no. 2, p. 452-480, at http://dx.doi.org/10.1002/2014RG000456.

Ahmed, O.S., Franklin, S.E., and Wulder, M.A., 2014, Interpretation of forest disturbance using a time series of Landsat imagery and canopy structure from airborne lidar: Canadian Journal of Remote Sensing, v. 39, no. 6, p. 521-542, at http://dx.doi.org/10.5589/m14-004.

Ahmed, O.S., Franklin, S.E., Wulder, M.A., and White, J.C., 2015, Characterizing stand-level forest canopy cover and height using Landsat time series, samples of airborne LiDAR, and the Random Forest algorithm: ISPRS Journal of Photogrammetry and Remote Sensing, v. 101, p. 89-101, at http://dx.doi.org/10.1016/j.isprsjprs.2014.11.007.

Ahmed, O.S., Franklin, S.E., Wulder, M.A., and White, J.C., 2016, Extending airborne lidar-derived estimates of forest canopy cover and height over large areas using kNN With Landsat time series data: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 9, no. 8, p. 3489-3496, at http://dx.doi.org/10.1109/JSTARS.2015.2492363.

Ahmed, O.S., Wulder, M.A., White, J.C., Hermosilla, T., Coops, N.C., and Franklin, S.E., 2017, Classification of annual non-stand replacing boreal forest change in Canada using Landsat time series—A case study in northern Ontario: Remote Sensing Letters, v. 8, no. 1, p. 29-37, at http://dx.doi.org/10.1080/2150704X.2016.1233371.

Alcantara, C., Kuemmerle, T., Baumann, M., Bragina, E.V., Griffiths, P., Hostert, P., Knorn, J., Müller, D., Prishchepov, A.V., et al., 2013, Mapping the extent of abandoned farmland in Central and Eastern Europe using MODIS time series satellite data: Environmental Research Letters, v. 8, no. 3, article number 035035, at http://dx.doi.org/10.1088/1748-9326/8/3/035035.

Alfieri, J.G., Anderson, M.C., Kustas, W.P., and Cammalleri, C., 2017, Effect of the revisit interval and temporal upscaling methods on the accuracy of remotely sensed evapotranspiration estimates: Hydrology and Earth System Sciences, v. 21, no. 1, p. 83-98, at http://dx.doi.org/10.5194/hess-21-83-2017.

Allen, R.G., 2007, Footprint analysis to assess the conditioning of temperature and humidity measurements in a weather station vicinity, in Kabbes, K.C., ed., Restoring our natural habitat, World Environmental and Water Resources Congress, Tampa, Fla., 15-19 May 2007, Proceedings: Reston, Va., American Society of Civil Engineers, p. 1-12, at http://dx.doi.org/10.1061/40856(200)292.

Allen, R.G., 2011, Skin layer evaporation to account for small precipitation events-An enhancement to the FAO-56 evaporation model: Agricultural Water Management, v. 99, no. 1, p. 8-18, at http://dx.doi.org/10.1016/j.agwat.2011.08.008.

Allen, R.G., Burnett, B., Kramber, W., Huntington, J., Kjaersgaard, J., Kilic, A., Kelly, C., and Trezza, R., 2013, Automated calibration of the METRIC-Landsat evapotranspiration process: Journal of the American Water Resources Association, v. 49, no. 3, p. 563-576, at http://dx.doi.org/10.1111/jawr.12056.

Allen, R.G., Irmak, A., Trezza, R., Hendrickx, J.M.H., Bastiaanssen, W., and Kjaersgaard, J., 2011, Satellite-based ET estimation in agriculture using SEBAL and METRIC: Hydrological Processes, v. 25, no. 26, p. 4011-4027, at http://dx.doi.org/10.1002/hyp.8408.

Allen, R.G., Kilic, A., Suyker, A., and Okalebo, J., 2015, Fitting measured evapotranspiration data to the FA056 dual crop coefficient method, in IA Irrigation Symposium—Emerging Technologies for Sustainable Irrigation - A Tribute to the Career of Terry Howell, Sr., Long Beach, Calif., 10-12 November 2015, Conference Proceedings: St. Joseph, Mich., American Society of Agricultural and Biological Engineers, p. 434-469, at http://dx.doi.org/10.13031/irrig.20152143520.

Allen, R.G., Morton, C., Kamble, B., Kilic, A., Huntington, J., Thau, D., Gorelick, N., Erickson, T., Moore, R., et al., 2015, EEFlux—A Landsat-based evapotranspiration mapping tool on the Google Earth Engine, in IA Irrigation Symposium—Emerging Technologies for Sustainable Irrigation - A Tribute to the Career of Terry Howell, Sr., Long Beach, Calif., 10-12 November 2015, Conference Proceedings: St. Joseph, Mich., American Society of Agricultural and Biological Engineers, p. 424-433, at http://dx.doi.org/10.13031/irrig.20152143511.

Allen, R.G., and Pereira, L.S., 2009, Estimating crop coefficients from fraction of ground cover and height, in Starrett, S., ed., Great rivers, World Environmental and Water Resources Congress, Kansas City, Mo., 17-21 May 2009, Proceedings: Reston, Va., American Society of Civil Engineers, p. 4036-4050, at http://dx.doi.org/10.1061/41036(342)408.

Allen, R.G., Pereira, L.S., Howell, T.A., and Jensen, M.E., 2011, Evapotranspiration information reporting—I. Factors governing measurement accuracy: Agricultural Water Management, v. 98, no. 6, p. 899-920, at http://dx.doi.org/10.1016/j.agwat.2010.12.015.

Allen, R.G., Pereira, L.S., Howell, T.A., and Jensen, M.E., 2011, Evapotranspiration information reporting—II. Recommended documentation: Agricultural Water Management, v. 98, no. 6, p. 921-929, at http://dx.doi.org/10.1016/j.agwat.2010.12.016.

Allen, R.G., Pruitt, W.O., Wright, J.L., Howell, T.A., Ventura, F., Snyder, R., Itenfisu, D., Steduto, P., Berengena, J., et al., 2006, A recommendation on standardized surface resistance for hourly calculation of reference ETo by the FAO56 Penman-Monteith method: Agricultural Water Management, v. 81, no. 1-2, p. 1-22, at http://dx.doi.org/10.1016/j.agwat.2005.03.007.

Allen, R.G., Tasumi, M., Morse, A., Trezza, R., Wright, J.L., Bastiaanssen, W., Kramber, W., Lorite, I., and Robison, C.W., 2007, Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)—Applications: Journal of Irrigation and Drainage Engineering, v. 133, no. 4, p. 395-406, at http://dx.doi.org/10.1061/(ASCE)0733-9437(2007)133:4(395).

Allen, R.G., Tasumi, M., and Trezza, R., 2006, Benefits from tying satellite-based energy balance to reference evapotranspiration, in D’Urso, G., Osann Jochum, M.A., and Moreno, J., eds., Earth observation for vegetation monitoring and water management, Naples, Italy, 10-11 November 2005, Proceedings: Melville, N.Y., American Institute of Physics, p. 127-137, at http://dx.doi.org/10.1063/1.2349336.

Allen, R.G., Tasumi, M., and Trezza, R., 2007, Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)—Model: Journal of Irrigation and Drainage Engineering, v. 133, no. 4, p. 380-394, at http://dx.doi.org/10.1061/(ASCE)0733-9437(2007)133:4(380).

Allen, R.G., Tasumi, M., and Trezza, R., 2007, Why use reference evapotranspiration to calibrate satellite-based energy balances?, in Kabbes, K.C., ed., Restoring our natural habitat, World Environmental and Water Resources Congress, Tampa, Fla., 15-19 May 2007, Proceedings: Reston, Va., American Society of Civil Engineers, p. 1-12, at http://dx.doi.org/10.1061/40856(200)272.

Allen, R.G., Tasumi, M., Trezza, R., Robison, C.W., Garcia, M., Toll, D., Arsenault, K., Hendrickx, J.M.H., and Kjaersgaard, J., 2008, Comparison of evapotranspiration images derived from MODIS and Landsat along the middle Rio Grande, in Babcock Jr., R.W., and Walton, R., eds., World Environmental and Water Resources Congress, Honolulu, Hawaii, 12-16 May 2008, Proceedings: Reston, Va., American Society of Civil Engineers, p. 1-13, at http://dx.doi.org/10.1061/40976(316)87.

Allen, R.G., Trezza, R., Kilic, A., Tasumi, M., and Li, H., 2013, Sensitivity of Landsat-scale energy balance to aerodynamic variability in mountains and complex terrain: Journal of the American Water Resources Association, v. 49, no. 3, p. 592-604, at http://dx.doi.org/10.1111/jawr.12055.

Allen, R.G., Trezza, R., and Tasumi, M., 2006, Analytical integrated functions for daily solar radiation on slopes: Agricultural and Forest Meteorology, v. 139, no. 1-2, p. 55-73, at http://dx.doi.org/10.1016/j.agrformet.2006.05.012.

Allen, R.G., and Wright, J.L., 2009, Estimation of evaporation and evapotranspiration during nongrowing seasons using a dual crop coefficient, in Starrett, S., ed., Great rivers, World Environmental and Water Resources Congress, Kansas City, Mo., 17-21 May 2009, Proceedings: Reston, Va., American Society of Civil Engineers, p. 4158-4171, at http://dx.doi.org/10.1061/41036(342)419.

Alley, K.E., Scambos, T.A., Siegfried, M.R., and Fricker, H.A., 2016, Impacts of warm water on Antarctic ice shelf stability through basal channel formation: Nature Geoscience, v. 9, no. 4, p. 290-293, at http://dx.doi.org/10.1038/ngeo2675.

Alonso, A., Muñoz-Carpena, R., Kennedy, R.E., and Murcia, C., 2016, Wetland landscape spatio-temporal degradation dynamics using the new google earth engine cloud-based platform—Opportunities for non-specialists in remote sensing: Transactions of the ASABE, v. 59, no. 5, p. 1333-1344, at http://dx.doi.org/10.13031/trans.59.11608.

Ambeau, B.L., Gerace, A.D., Montanaro, M., and McCorkel, J., 2016, The characterization of a DIRSIG simulation environment to support the inter-calibration of spaceborne sensors, 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), article number 99720m, at http://dx.doi.org/10.1117/12.2238317.

Amos, K.J., Croke, J.C., Hughes, A.O., Chapman, J., Takken, I., and Lymburner, L., 2008, A catchment-scale assessment of anabranching in the 143 000 km2 Fitzroy River catchment, north-eastern Australia: Earth Surface Processes and Landforms, v. 33, no. 8, p. 1222-1241, at http://dx.doi.org/10.1002/esp.1609.

Anderson, G.P., Schaaf, C.B., Loukachine, K., Stone, R.S., Andrews, E., Shettle, E.P., Dutton, E.G., Roman III, M.O., Stohl, A., et al., 2008, Assessing the radiative impact of aerosol smoke using MODTRAN™5, in Shen, S.S., and Lewis, P.E., eds., Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery, XIV, Orlando, Fla., 17-19 March 2008, Proceedings of SPIE Vol. 6966: Bellingham, Wash., Society of Photo-Optical Instrumentation Engineers (SPIE), article number 696617, at http://dx.doi.org/10.1117/12.782364.

Anderson, M., Hain, C., Gao, F., Kustas, W., Yang, Y., Sun, L., Yang, Y., Holmes, T., and Dulaney, W., 2016, Mapping evapotranspiration at multiple scales using multi-sensor data fusion, in International Geoscience and Remote Sensing Symposium, Beijing, China, 10-15 July 2016, Proceedings: Piscataway, N.J., Institute of Electrical and Electronics Engineers (IEEE), p. 226-229, article number 7729050, at http://dx.doi.org/10.1109/IGARSS.2016.7729050.

Anderson, M., and Kustas, W., 2008, Thermal remote sensing of drought and evapotranspiration: Eos, v. 89, no. 26, p. 233-234, at http://dx.doi.org/10.1029/2008EO260001.

Anderson, M., Twine, T., and Black, A., 2009, Foreword for special issue on Environmental Biophysics: Agricultural and Forest Meteorology, v. 149, no. 12, p. 2061-2063, at http://dx.doi.org/10.1016/j.agrformet.2009.09.003.

Anderson, M., Zaitchik, B.F., and Simane, B., 2012, Data and ingenuity for climate change solutuions—Water balance from space—promoting climate resilience in the Blue Nile/Abay Highlands: Resource—Engineering and Technology for Sustainable World, v. 19, no. 3, p. 14-15, at http://elibrary.asabe.org/abstract.asp?aid=41352&t=11.

Anderson, M.C., Allen, R.G., Morse, A., and Kustas, W.P., 2012, Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources: Remote Sensing of Environment, v. 122, p. 50-65, at http://dx.doi.org/10.1016/j.rse.2011.08.025.

Anderson, M.C., Hain, C.R., Jurecka, F., Trnka, M., Hlavinka, P., Dulaney, W., Otkin, J.A., Johnson, D., and Gao, F., 2016, Relationships between the evaporative stress index and winter wheat and spring barley yield anomalies in the Czech Republic: Climate Research, v. 70, no. 2-3, p. 215-230, at http://dx.doi.org/10.3354/cr01411.

Anderson, M.C., Hain, C., Otkin, J., Zhan, X., Mo, K., Svoboda, M., Wardlow, B., and Pimstein, A., 2013, An intercomparison of drought indicators based on thermal remote sensing and NLDAS-2 simulations with U.S. drought monitor classifications: Journal of Hydrometeorology, v. 14, no. 4, p. 1035-1056, at http://dx.doi.org/10.1175/JHM-D-12-0140.1.

Anderson, M.C., Hain, C., Wardlow, B., Pimstein, A., Mecikalski, J.R., and Kustas, W.P., 2011, Evaluation of drought indices based on thermal remote sensing of evapotranspiration over the continental United States: Journal of Climate, v. 24, no. 8, p. 2025-2044, at http://dx.doi.org/10.1175/2010JCLI3812.1.

Anderson, M.C., and Kustas, W.P., 2008, Mapping evapotranspiration and drought at local to continental scales using thermal remote sensing, in International Geoscience and Remote Sensing Symposium, Boston, Mass., 7-11 July 2008, Proceedings: Piscataway, N.J., Institute of Electrical and Electronics Engineers (IEEE), p. IV121-IV123, at http://dx.doi.org/10.1109/IGARSS.2008.4779671.

Anderson, M.C., Kustas, W.P., Alfieri, J.G., Gao, F., Hain, C., Prueger, J.H., Evett, S., Colaizzi, P., Howell, T., et al., 2012, Mapping daily evapotranspiration at Landsat spatial scales during the BEAREX’08 field campaign: Advances in Water Resources, v. 50, p. 134-151, at http://dx.doi.org/10.1016/j.advwatres.2012.06.005.

Anderson, M.C., Kustas, W.P., and Norman, J.M., 2006, A multi-scale remote sensing-based modeling system for estimating local and regional fluxes, in E’Urso, G., Osann Jochum, M.A., and Moreno, J., eds., AIP Conference, Naples, Italy, 10-11 November 2005, Proceedings: Melville, N.Y., American Institute of Physics, p. 146-153, at http://dx.doi.org/10.1063/1.2349338.

Anderson, M.C., Kustas, W.P., and Norman, J.M., 2007, Upscaling flux observations from local to continental scales using thermal remote sensing: Agronomy Journal, v. 99, no. 1, p. 240-254, at http://dx.doi.org/10.2134/agronj2005.0096S.

Anderson, M.C., Kustas, W.P., Norman, J.M., Hain, C.R., Mecikalski, J.R., Schultz, L., González-Dugo, M.P., Cammalleri, C., D’Urso, G., et al., 2011, Mapping daily evapotranspiration at field to continental scales using geostationary and polar orbiting satellite imagery: Hydrology and Earth System Sciences, v. 15, no. 1, p. 223-239, at http://dx.doi.org/10.5194/hess-15-223-2011.

Anderson, M.C., Norman, J.M., Kustas, W.P., Houborg, R., Starks, P.J., and Agam, N., 2008, A thermal-based remote sensing technique for routine mapping of land-surface carbon, water and energy fluxes from field to regional scales: Remote Sensing of Environment, v. 112, no. 12, p. 4227-4241, at http://dx.doi.org/10.1016/j.rse.2008.07.009.

Anderson, M.C., Norman, J.M., Mecikalski, J.R., Otkin, J.A., and Kustas, W.P., 2007, A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing—1. Model formulation: Journal of Geophysical Research D—Atmospheres, v. 112, no. 10, citation number D10117, at http://dx.doi.org/10.1029/2006JD007506.

Anderson, M.C., Norman, J.M., Mecikalski, J.R., Otkin, J.A., and Kustas, W.P., 2007, A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing—2. Surface moisture climatology: Journal of Geophysical Research D—Atmospheres, v. 112, no. 11, citation number D11112, at http://dx.doi.org/10.1029/2006JD007507.

Anderson, M.C., Zolin, C.A., Hain, C.R., Semmens, K., Tugrul Yilmaz, M., and Gao, F., 2015, Comparison of satellite-derived LAI and precipitation anomalies over Brazil with a thermal infrared-based Evaporative Stress Index for 2003-2013: Journal of Hydrology, v. 526, p. 287-302, at http://dx.doi.org/10.1016/j.jhydrol.2015.01.005.

Anderson, M.C., Zolin, C.A., Sentelhas, P.C., Hain, C.R., Semmens, K., Tugrul Yilmaz, M., Gao, F., Otkin, J.A., and Tetrault, R., 2016, The Evaporative Stress Index as an indicator of agricultural drought in Brazil—An assessment based on crop yield impacts: Remote Sensing of Environment, v. 174, p. 82-99, at http://dx.doi.org/10.1016/j.rse.2015.11.034.

Anderson, W.B., Zaitchik, B.F., Hain, C.R., Anderson, M.C., Yilmaz, M.T., Mecikalski, J., and Schultz, L., 2012, Towards an integrated soil moisture drought monitor for East Africa: Hydrology and Earth System Sciences, v. 16, no. 8, p. 2893-2913, at http://dx.doi.org/10.5194/hess-16-2893-2012.

Andrew, M.E., Nelson, T.A., Wulder, M.A., Hobart, G.W., Coops, N.C., and Farmer, C.J.Q., 2013, Ecosystem classifications based on summer and winter conditions: Environmental Monitoring and Assessment, v. 185, no. 4, p. 3057-3079, at http://dx.doi.org/10.1007/s10661-012-2773-z.

Andrew, M.E., and Wulder, M.A., 2011, Idiosyncratic responses of Pacific salmon species to land cover, fragmentation, and scale: Ecography, v. 34, no. 5, p. 780-797, at http://dx.doi.org/10.1111/j.1600-0587.2010.06607.x.

Andrew, M.E., Wulder, M.A., and Cardille, J.A., 2014, Protected areas in boreal Canada—A baseline and considerations for the continued development of a representative and effective reserve network: Environmental Reviews, v. 22, no. 2, p. 135-160, at http://dx.doi.org/10.1139/er-2013-0056.

Andrew, M.E., Wulder, M.A., and Coops, N.C., 2011, How do butterflies define ecosystems? A comparison of ecological regionalization schemes: Biological Conservation, v. 144, no. 5, p. 1409-1418, at http://dx.doi.org/10.1016/j.biocon.2011.01.010.

Andrew, M.E., Wulder, M.A., and Coops, N.C., 2012, Identification of de facto protected areas in boreal Canada: Biological Conservation, v. 146, no. 1, p. 97-107, at http://dx.doi.org/10.1016/j.biocon.2011.11.029.

Andrew, M.E., Wulder, M.A., and Coops, N.C., 2011, Patterns of protection and threats along productivity gradients in Canada: Biological Conservation, v. 144, no. 12, p. 2891-2901, at http://dx.doi.org/10.1016/j.biocon.2011.08.006.

Andrew, M.E., Wulder, M.A., Coops, N.C., and Baillargeon, G., 2012, Beta-diversity gradients of butterflies along productivity axes: Global Ecology and Biogeography, v. 21, no. 3, p. 352-364, at http://dx.doi.org/10.1111/j.1466-8238.2011.00676.x.

Andrew, M.E., Wulder, M.A., and Nelson, T.A., 2014, Potential contributions of remote sensing to ecosystem service assessments: Progress in Physical Geography, v. 38, no. 3, p. 328-353, at http://dx.doi.org/10.1177/0309133314528942.

Angal, A., Brinkmann, J., Mishra, N., Link, D., Xiong, X.J., and Helder, D., 2015, Cross-calibration of the reflective solar bands of Terra MODIS and Landsat 7 Enhanced Thematic Mapper plus over PICS using different approaches, in Meynart, R., Neeck, S.P., and Shimoda, H., eds., Sensors, Systems, and Next-Generation Satellites XIX, Toulouse, France, 21 September 2015, Proceedings of SPIE Vol. 9639: Bellingham, Wash., Society of Photo-Optical Instrumentation Engineers (SPIE), article number 963911, at http://dx.doi.org/10.1117/12.2195170.

Angal, A., McCorkel, J., Cook, B., Corp, L.A., and Thome, K., 2015, Radiometric calibration of G-LiHT’s imaging spectrometer using GLAMR for satellite sensor intercalibration, in Butler, J.J., Xiong, X., and Gu, X., eds., Earth Observing Systems XX, San Diego, Calif., 9 August 2015, Proceedings of SPIE Vol. 9607: Bellingham, Wash., Society of Photo-Optical Instrumentation Engineers (SPIE), article number 96070c, at http://dx.doi.org/10.1117/12.2188763.

Angal, A., McCorkel, J., and Thome, K., 2016, Evaluation of GLAMR-based calibration for SI-traceable field reflectance retrievals, 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), article number 99721u, at http://dx.doi.org/10.1117/12.2238630.

Angal, A., McCorkel, J., and Thome, K., 2016, Results from source-based and detector-based calibrations of a CLARREO calibration demonstration system, 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), article number 997206, at http://dx.doi.org/10.1117/12.2238634.

Angal, A., Mishra, N., Xiong, X., and Helder, D., 2014, Cross-calibration of Landsat 5 TM and Landsat 8 OLI with aqua MODIS using PICS, in Butler, J.J., Xiong, X., and Gu, X., eds., Earth Observing Systems XIX, San Diego, Calif., 18-20 August 2014, Proceedings of SPIE Vol. 9218: Bellingham, Wash., Society of Photo-Optical Instrumentation Engineers (SPIE), article number 92180k, at http://dx.doi.org/10.1117/12.2062165.

Angal, A., Xiong, X.J., Choi, T.J., Chander, G., Mishra, N., and Helder, D.L., 2013, Impact of Terra MODIS Collection 6 on long-term trending comparisons with Landsat 7 ETM+ reflective solar bands: Remote Sensing Letters, v. 4, no. 9, p. 873-881, at http://dx.doi.org/10.1080/2150704X.2013.809496.

Archibald, S., and Roy, D.P., 2009, Identifying individual fires from satellite-derived burned area data, in International Geoscience and Remote Sensing Symposium, Cape Town, South Africa, 12-17 July 2009, Proceedings: Piscataway, N.J., Institute of Electrical and Electronics Engineers (IEEE), p. III160-III163, at http://dx.doi.org/10.1109/IGARSS.2009.5417974.

Archibald, S., Roy, D.P., van Wilgen, B.W., and Scholes, R.J., 2009, What limits fire? An examination of drivers of burnt area in Southern Africa: Global Change Biology, v. 15, no. 3, p. 613-630, at http://dx.doi.org/10.1111/j.1365-2486.2008.01754.x.

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