Year |
Citation |
Score |
2020 |
Diamond JS, McLaughlin DL, Slesak RA, Stovall A. Microtopography is a fundamental organizing structure of vegetation and soil chemistry in black ash wetlands Biogeosciences. 17: 901-915. DOI: 10.5194/Bg-17-901-2020 |
0.361 |
|
2019 |
Diamond JS, McLaughlin DL, Slesak RA, Stovall A. Pattern and structure of microtopography implies autogenic origins in forested wetlands Hydrology and Earth System Sciences. 23: 5069-5088. DOI: 10.5194/Hess-23-5069-2019 |
0.433 |
|
2019 |
Diamond JS, McLaughlin DL, Slesak RA, Stovall A. A microtopographic signature of life: Ecohydrologic feedbacksstructure wetland microtopography Hydrology and Earth System Sciences Discussions. 1-38. DOI: 10.5194/Hess-2019-239 |
0.498 |
|
2019 |
Diamond JS, McLaughlin DL, Slesak RA, Stovall A. Microtopography is a fundamental organizing structure in black ash wetlands Biogeosciences Discussions. 1-28. DOI: 10.5194/Bg-2019-302 |
0.361 |
|
2019 |
Stovall AE, Diamond JS, Slesak RA, McLaughlin DL, Shugart H. Quantifying wetland microtopography with terrestrial laser scanning Remote Sensing of Environment. 232: 111271. DOI: 10.1016/J.Rse.2019.111271 |
0.331 |
|
2019 |
Disney M, Burt A, Calders K, Schaaf C, Stovall A. Innovations in Ground and Airborne Technologies as Reference and for Training and Validation: Terrestrial Laser Scanning (TLS) Surveys in Geophysics. 40: 937-958. DOI: 10.1007/S10712-019-09527-X |
0.304 |
|
2018 |
Yang X, Shi H, Stovall A, Guan K, Miao G, Zhang Y, Zhang Y, Xiao X, Ryu Y, Lee JE. FluoSpec 2-An Automated Field Spectroscopy System to Monitor Canopy Solar-Induced Fluorescence. Sensors (Basel, Switzerland). 18. PMID 29958419 DOI: 10.3390/S18072063 |
0.539 |
|
2018 |
Stovall AE, Anderson-Teixeira KJ, Shugart HH. Assessing terrestrial laser scanning for developing non-destructive biomass allometry Forest Ecology and Management. 427: 217-229. DOI: 10.1016/J.Foreco.2018.06.004 |
0.394 |
|
2017 |
Stovall AE, Vorster AG, Anderson RS, Evangelista PH, Shugart HH. Non-destructive aboveground biomass estimation of coniferous trees using terrestrial LiDAR Remote Sensing of Environment. 200: 31-42. DOI: 10.1016/J.Rse.2017.08.013 |
0.359 |
|
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