| Remote sensing of dryland ecosystem structure and function: Progress, challenges, and opportunities WK Smith, MP Dannenberg, D Yan, S Herrmann, ML Barnes, ... Remote Sensing of Environment 233, 111401, 2019 | 323 | 2019 |
| Exploration of scaling effects on coarse resolution land surface phenology X Zhang, J Wang, F Gao, Y Liu, C Schaaf, M Friedl, Y Yu, S Jayavelu, ... Remote Sensing of Environment 190, 318-330, 2017 | 203 | 2017 |
| Five decades of observed daily precipitation reveal longer and more variable drought events across much of the western United States F Zhang, JA Biederman, MP Dannenberg, D Yan, SC Reed, WK Smith Geophysical Research Letters 48 (7), e2020GL092293, 2021 | 162 | 2021 |
| Chlorophyll fluorescence better captures seasonal and interannual gross primary productivity dynamics across dryland ecosystems of southwestern North America WK Smith, JA Biederman, RL Scott, DJP Moore, M He, JS Kimball, D Yan, ... Geophysical Research Letters 45 (2), 748-757, 2018 | 149 | 2018 |
| Understanding the relationship between vegetation greenness and productivity across dryland ecosystems through the integration of PhenoCam, satellite, and eddy covariance data D Yan, RL Scott, DJP Moore, JA Biederman, WK Smith Remote sensing of environment 223, 50-62, 2019 | 101 | 2019 |
| Exceptional heat and atmospheric dryness amplified losses of primary production during the 2020 US Southwest hot drought MP Dannenberg, D Yan, ML Barnes, WK Smith, MR Johnston, RL Scott, ... Global Change Biology 28 (16), 4794-4806, 2022 | 85 | 2022 |
| Comparisons of global land surface seasonality and phenology derived from AVHRR, MODIS, and VIIRS data X Zhang, L Liu, D Yan Journal of Geophysical Research: Biogeosciences 122 (6), 1506-1525, 2017 | 65 | 2017 |
| Globally consistent patterns of asynchrony in vegetation phenology derived from optical, microwave, and fluorescence satellite data X Wang, MP Dannenberg, D Yan, MO Jones, JS Kimball, DJP Moore, ... Journal of Geophysical Research: Biogeosciences 125 (7), e2020JG005732, 2020 | 58 | 2020 |
| Evaluating land surface phenology from the Advanced Himawari Imager using observations from MODIS and the Phenological Eyes Network D Yan, X Zhang, S Nagai, Y Yu, T Akitsu, KN Nasahara, R Ide, T Maeda International Journal of Applied Earth Observation and Geoinformation 79, 71-83, 2019 | 50 | 2019 |
| A comparison of tropical rainforest phenology retrieved from geostationary (SEVIRI) and polar-orbiting (MODIS) sensors across the Congo Basin D Yan, X Zhang, Y Yu, W Guo IEEE Transactions on Geoscience and Remote Sensing 54 (8), 4867-4881, 2016 | 43 | 2016 |
| Investigation on damming object induced by the earthquake of Wenchuan on May 12 based on multi-platform remote sensing JR Fan, BW Tian, GW Cheng, H Tao, J Zhang, D Yan, FH Su, BT Liu Journal of Mountain Science 26 (3), 257-262, 2008 | 34* | 2008 |
| 基于像元二分模型的昌都县植被盖度遥感估算 郭芬芬， 范建容， 严冬， 郭祥， 宫奎方， 张定容 中国水土保持, 65-67, 2010 | 32 | 2010 |
| Phenological characteristics of global ecosystems based on optical, fluorescence, and microwave remote sensing M Dannenberg, X Wang, D Yan, W Smith Remote Sensing 12 (4), 671, 2020 | 30 | 2020 |
| An exploration of terrain effects on land surface phenology across the Qinghai–Tibet plateau using Landsat ETM+ and OLI data S An, X Zhang, X Chen, D Yan, GM Henebry Remote Sensing 10 (7), 1069, 2018 | 29 | 2018 |
| Characteristics of rainfall erosivity based on tropical rainfall measuring mission data in Tibet, China J Fan, Y Chen, D Yan, F Guo Journal of Mountain Science 10, 1008-1017, 2013 | 28 | 2013 |
| Characterizing land surface phenology and responses to rainfall in the Sahara Desert D Yan, X Zhang, Y Yu, W Guo, N Hanan Journal of Geophysical Research: Biogeosciences, 2016 | 26 | 2016 |
| Mapping the distributions of C3 and C4 grasses in the mixed-grass prairies of southwest Oklahoma using the Random Forest classification algorithm D Yan, KM de Beurs International Journal of Applied Earth Observation and Geoinformation 47 …, 2016 | 23 | 2016 |
| Spatial and temporal distribution of rainfall erosivity based on GIS in the upper yangtze river basin JR Fan, D Yan, X Guo Research of Soil and Water Conservation 17 (1), 92-95, 2010 | 23* | 2010 |
| The photochemical reflectance index (PRI) captures the ecohydrologic sensitivity of a semiarid mixed conifer forest JC Yang, TS Magney, D Yan, JF Knowles, WK Smith, RL Scott, ... Journal of Geophysical Research: Biogeosciences 125 (11), e2019JG005624, 2020 | 21 | 2020 |
| Characterizing land cover impacts on the responses of land surface phenology to the rainy season in the Congo Basin D Yan, X Zhang, Y Yu, W Guo Remote Sensing 9 (5), 461, 2017 | 20 | 2017 |
William Kolby SmithAssociate Professor, University of ArizonaПодтвержден адрес электронной почты в домене email.arizona.edu