| HYSOGs250m, global gridded hydrologic soil groups for curve-number-based runoff modeling CW Ross, L Prihodko, J Anchang, S Kumar, W Ji, NP Hanan Scientific data 5 (1), 1-9, 2018 | 147 | 2018 |
| A survey of methods incorporating spatial information in image classification and spectral unmixing L Wang, C Shi, C Diao, W Ji, D Yin International Journal of Remote Sensing 37 (16), 3870-3910, 2016 | 93 | 2016 |
| Global hydrologic soil groups (HYSOGs250m) for curve number-based runoff modeling CW Ross, L Prihodko, JY Anchang, SS Kumar, W Ji, NP Hanan ORNL DAAC, 2018 | 83 | 2018 |
| Toward operational mapping of woody canopy cover in tropical savannas using Google Earth Engine JY Anchang, L Prihodko, W Ji, SS Kumar, CW Ross, Q Yu, B Lind, ... Frontiers in Environmental Science 8, 4, 2020 | 67 | 2020 |
| Assessing effects of urban vegetation height on land surface temperature in the City of Tampa, Florida, USA Q Yu, M Acheampong, R Pu, SM Landry, W Ji, T Dahigamuwa International journal of applied earth observation and geoinformation 73 …, 2018 | 65 | 2018 |
| A preliminary exploration of the cooling effect of tree shade in urban landscapes Q Yu, W Ji, R Pu, S Landry, M Acheampong, J O’Neil-Dunne, Z Ren, ... International Journal of Applied Earth Observation and Geoinformation 92, 102161, 2020 | 64 | 2020 |
| Study becomes insight: Ecological learning from machine learning Q Yu, W Ji, L Prihodko, CW Ross, JY Anchang, NP Hanan Methods in Ecology and Evolution 12 (11), 2117-2128, 2021 | 49 | 2021 |
| Global application of an unoccupied aerial vehicle photogrammetry protocol for predicting aboveground biomass in non‐forest ecosystems AM Cunliffe, K Anderson, F Boschetti, RE Brazier, HA Graham, ... Remote Sensing in Ecology and Conservation 8 (1), 57-71, 2022 | 42 | 2022 |
| Phenology-guided saltcedar (Tamarix spp.) mapping using Landsat TM images in western US W Ji, L Wang Remote Sensing of Environment 173, 29-38, 2016 | 41 | 2016 |
| Trends in woody and herbaceous vegetation in the savannas of West Africa JY Anchang, L Prihodko, AT Kaptué, CW Ross, W Ji, SS Kumar, B Lind, ... Remote Sensing 11 (5), 576, 2019 | 38 | 2019 |
| Woody-biomass projections and drivers of change in sub-Saharan Africa CW Ross, NP Hanan, L Prihodko, J Anchang, W Ji, Q Yu Nature Climate Change 11 (5), 449-455, 2021 | 36 | 2021 |
| Constraints on shrub cover and shrub–shrub competition in a US southwest desert W Ji, NP Hanan, DM Browning, HC Monger, DPC Peters, BT Bestelmeyer, ... Ecosphere 10 (2), e02590, 2019 | 33 | 2019 |
| Detection of the spatiotemporal patterns of beetle-induced tamarisk (Tamarix spp.) defoliation along the Lower Rio Grande using Landsat TM images W Ji, L Wang, AE Knutson Remote Sensing of Environment 193, 76-85, 2017 | 25 | 2017 |
| HYSOGs250m, global gridded hydrologic soil groups for curve-number-based runoff modeling. Sci Data 5: 180091 CW Ross, L Prihodko, J Anchang, S Kumar, W Ji, NP Hanan | 18 | 2018 |
| Global hydrologic soil groups (HYSOGs250m) for curve number-based runoff modeling. ORNL DAAC, Oak Ridge, Tennessee, USA CW Ross, L Prihodko, J Anchang, S Kumar, W Ji, NP Hanan | 17 | 2018 |
| Discriminating saltcedar (Tamarix ramosissima) from sparsely distributed cottonwood (Populus euphratica) using a summer season satellite image W Ji, L Wang Photogrammetric Engineering & Remote Sensing 81 (10), 795-806, 2015 | 13 | 2015 |
| Remotely sensed thermal decay rate: An index for vegetation monitoring SS Kumar, L Prihodko, BM Lind, J Anchang, W Ji, CW Ross, MN Kahiu, ... Scientific Reports 10 (1), 9812, 2020 | 9 | 2020 |
| Alternative vegetation states in tropical forests and savannas: the search for consistent signals in diverse remote sensing data SS Kumar, NP Hanan, L Prihodko, J Anchang, CW Ross, W Ji, BM Lind Remote Sensing 11 (7), 815, 2019 | 9 | 2019 |
| Differing climate and landscape effects on regional dryland vegetation responses during wet periods allude to future patterns MD Petrie, DPC Peters, ND Burruss, W Ji, HM Savoy Global change biology 25 (10), 3305-3318, 2019 | 8 | 2019 |
| Global hydrologic soil groups (HYSOGs250m) for curve number-based runoff modeling. ORNL DAAC CW Ross, L Prihodko, JY Anchang, SS Kumar, W Ji, NP Hanan | 7 | 2018 |
Julius AnchangPlant and Environmental Sciences, New Mexico State UniversityEmail được xác minh tại nmsu.edu
