Year |
Citation |
Score |
2020 |
Brooks EB, Coulston JW, Riitters KH, Wear DN. Using a hybrid demand-allocation algorithm to enable distributional analysis of land use change patterns. Plos One. 15: e0240097. PMID 33057344 DOI: 10.1371/journal.pone.0240097 |
0.36 |
|
2020 |
Derwin JM, Thomas VA, Wynne RH, Coulston JW, Liknes GC, Bender S, Blinn CE, Brooks EB, Ruefenacht B, Benton R, Finco MV, Megown K. Estimating tree canopy cover using harmonic regression coefficients derived from multitemporal Landsat data International Journal of Applied Earth Observation and Geoinformation. 86: 101985. DOI: 10.1016/J.Jag.2019.101985 |
0.683 |
|
2018 |
Thomas RQ, Jersild AL, Brooks EB, Thomas VA, Wynne RH. A mid-century ecological forecast with partitioned uncertainty predicts increases in loblolly pine forest productivity. Ecological Applications : a Publication of the Ecological Society of America. PMID 29999562 DOI: 10.1002/Eap.1761 |
0.681 |
|
2018 |
Brooks E, Wynne R, Thomas V. Using Window Regression to Gap-Fill Landsat ETM+ Post SLC-Off Data Remote Sensing. 10: 1502. DOI: 10.3390/Rs10101502 |
0.67 |
|
2018 |
Burkhart HE, Brooks EB, Dinon-Aldridge H, Sabatia CO, Gyawali N, Wynne RH, Thomas VA. Regional Simulations of Loblolly Pine Productivity with CO2 Enrichment and Changing Climate Scenarios Forest Science. 64: 349-357. DOI: 10.1093/Forsci/Fxy008 |
0.611 |
|
2018 |
Healey SP, Cohen WB, Yang Z, Kenneth Brewer C, Brooks EB, Gorelick N, Hernandez AJ, Huang C, Joseph Hughes M, Kennedy RE, Loveland TR, Moisen GG, Schroeder TA, Stehman SV, Vogelmann JE, et al. Mapping forest change using stacked generalization: An ensemble approach Remote Sensing of Environment. 204: 717-728. DOI: 10.1016/J.Rse.2017.09.029 |
0.567 |
|
2018 |
Saxena R, Watson LT, Wynne RH, Brooks EB, Thomas VA, Zhiqiang Y, Kennedy RE. Towards a polyalgorithm for land use change detection Isprs Journal of Photogrammetry and Remote Sensing. 144: 217-234. DOI: 10.1016/J.Isprsjprs.2018.07.002 |
0.673 |
|
2017 |
Thomas RQ, Brooks E, Jersild A, Ward E, Wynne R, Albaugh TJ, Aldridge HD, Burkhart HE, Domec J, Fox TR, Gonzalez-Benecke CA, Martin TA, Noormets A, Sampson DA, Teskey RO. Leveraging 35 years of forest research in the southeastern U.S. to constrain carbon cycle predictions: regional data assimilation using ecosystem experiment Biogeosciences Discussions. 1-57. DOI: 10.5194/Bg-2017-46 |
0.688 |
|
2017 |
Thomas RQ, Brooks EB, Jersild AL, Ward EJ, Wynne RH, Albaugh TJ, Dinon-Aldridge H, Burkhart HE, Domec J, Fox TR, Gonzalez-Benecke CA, Martin TA, Noormets A, Sampson DA, Teskey RO. Leveraging 35 years of Pinus taeda research in the southeastern US to constrain forest carbon cycle predictions: regional data assimilation using ecosystem experiments Biogeosciences. 14: 3525-3547. DOI: 10.5194/Bg-14-3525-2017 |
0.683 |
|
2017 |
Brooks E, Yang Z, Thomas V, Wynne R. Edyn: Dynamic Signaling of Changes to Forests Using Exponentially Weighted Moving Average Charts Forests. 8: 304. DOI: 10.3390/F8090304 |
0.691 |
|
2017 |
Cohen W, Healey S, Yang Z, Stehman S, Brewer C, Brooks E, Gorelick N, Huang C, Hughes M, Kennedy R, Loveland T, Moisen G, Schroeder T, Vogelmann J, Woodcock C, et al. How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms? Forests. 8: 98. DOI: 10.3390/F8040098 |
0.526 |
|
2016 |
Brooks EB, Coulston JW, Wynne RH, Thomas VA. Improving the precision of dynamic forest parameter estimates using Landsat Remote Sensing of Environment. 179: 162-169. DOI: 10.1016/J.Rse.2016.03.017 |
0.672 |
|
2014 |
Brooks EB, Wynne RH, Thomas VA, Blinn CE, Coulston JW. On-the-fly massively multitemporal change detection using statistical quality control charts and landsat data Ieee Transactions On Geoscience and Remote Sensing. 52: 3316-3332. DOI: 10.1109/Tgrs.2013.2272545 |
0.695 |
|
2012 |
Brooks EB, Thomas VA, Wynne RH, Coulston JW. Fitting the multitemporal curve: A fourier series approach to the missing data problem in remote sensing analysis Ieee Transactions On Geoscience and Remote Sensing. 50: 3340-3353. DOI: 10.1109/Tgrs.2012.2183137 |
0.694 |
|
Show low-probability matches. |