Citation: | MA Yonggang, HUANG Yue, XIAO Zhengqing. Comparative Analysis of Phenological Extraction Methods for Grasslands in High-Altitude Mountainous Areas[J]. Geomatics and Information Science of Wuhan University, 2022, 47(5): 753-761. DOI: 10.13203/j.whugis20190469 |
[1] |
Peñuelas J, Rutishauser T, Filella I E. Phenology Feedbacks on Climate Change[J]. Science, 2009, 324(5929): 887-888 doi: 10.1126/science.1173004
|
[2] |
Richardson A D, Keenan T F, Migliavacca M, et al. Climate Change, Phenology, and Phenologcal Control of Vegetation Feedbacks to the Climate System[J]. Agricultural and Forest Meteorology, 2013, 169: 156-173 doi: 10.1016/j.agrformet.2012.09.012
|
[3] |
Liu Q, Fu Y H, Zeng Z Z, et al. Temperature, Prcipitation, and Insolation Effects on Autumn Vegettion Phenology in Temperate China[J]. Global Change Biology, 2016, 22(2): 644-655 doi: 10.1111/gcb.13081
|
[4] |
Shen M G, Tang Y H, Chen J, et al. Influences of Temperature and Precipitation Before the Growing Season on Spring Phenology in Grasslands of the Central and Eastern Qinghai-Tibetan Plateau[J]. Agricultural and Forest Meteorology, 2011, 151 (12): 1711-1722 doi: 10.1016/j.agrformet.2011.07.003
|
[5] |
Huxman T E, Snyder K A, Tissue D, et al. Precipittion Pulses and Carbon Fluxes in Semiarid and Arid Ecosystems[J]. Oecologia, 2004, 141(2): 254-268 doi: 10.1007/s00442-004-1682-4
|
[6] |
Yao R, Wang L C, Huang X, et al. Investigation of Urbanization Effects on Land Surface Phenology in Northeast China During 2001-2015[J]. Remote Sensing, 2017, 9(1): 66 doi: 10.3390/rs9010066
|
[7] |
Yao R, Wang L C, Huang X, et al. Increased Sptial Heterogeneity in Vegetation Greenness Due to Vegetation Greening in Mainland China[J]. Ecologcal Indicators, 2019, 99: 240-250 doi: 10.1016/j.ecolind.2018.12.039
|
[8] |
Cory S T, Wood L K, Neufeld H S. Phenology and Growth Responses of Fraser Fir (Abies Fraseri) Christmas Trees Along an Elevational Gradient Southern Appalachian Mountains, USA[J]. Agrcultural and Forest Meteorology, 2017, 243: 25-32 doi: 10.1016/j.agrformet.2017.05.003
|
[9] |
Cremonese E, Filippa G, Galvagno M, et al. Heat Wave Hinders Green Wave: The Impact of Climate Extreme on the Phenology of a Mountain Grassland [J]. Agricultural and Forest Meteorology, 2017, 247: 320-330 doi: 10.1016/j.agrformet.2017.08.016
|
[10] |
Zhang X Y, Jayavelu S, Liu L L, et al. Evaluation of Land Surface Phenology from VⅡRS Data Using Time Series of PhenoCam Imagery[J]. Agricutural and Forest Meteorology, 2018, 256/257: 137-149 doi: 10.1016/j.agrformet.2018.03.003
|
[11] |
Sonnentag O, Hufkens K, Teshera-Sterne C, et al. Digital Repeat Photography for Phenological Rsearch in Forest Ecosystems[J]. Agricultural and Forest Meteorology, 2012, 152: 159-177 doi: 10.1016/j.agrformet.2011.09.009
|
[12] |
Migliavacca M, Galvagno M, Cremonese E, et al. Using Digital Repeat Photography and Eddy Cvariance Data to Model Grassland Phenology and Photosynthetic CO2 Uptake[J]. Agricultural and Forest Meteorology, 2011, 151(10): 1325-1337 doi: 10.1016/j.agrformet.2011.05.012
|
[13] |
Papale D, Reichstein M, Aubinet M, et al. Twards a Standardized Processing of Net Ecosystem Exchange Measured with Eddy Covariance Tecnique: Algorithms and Uncertainty Estimation[J]. Biogeosciences, 2006, 3(4): 571-583 doi: 10.5194/bg-3-571-2006
|
[14] |
Julitta T, Cremonese E, Migliavacca M, et al. Using Digital Camera Images to Analyse Snowmelt and Phenology of a Subalpine Grassland[J]. Agrcultural and Forest Meteorology, 2014, 198/199: 116-125 doi: 10.1016/j.agrformet.2014.08.007
|
[15] |
Filippa G, Cremonese E, Migliavacca M, et al. Phenopix: A R Package for Image-Based Vegettion Phenology[J]. Agricultural and Forest Meterology, 2016, 220: 141-150 doi: 10.1016/j.agrformet.2016.01.006
|
[16] |
McEwan R W, McCarthy B C. Phenology: An Itegrative Environmental Science[J]. The Journal of the Torrey Botanical Society, 2005, 132(1): 170-171 doi: 10.3159/1095-5674(2005)132[170:PAIES]2.0.CO;2
|
[17] |
Beck P S A, Atzberger C, Høgda K A, et al. Iproved Monitoring of Vegetation Dynamics at very High Latitudes: A New Method Using MODIS ND- VI[J]. Remote Sensing of Environment, 2006, 100 (3): 321-334 doi: 10.1016/j.rse.2005.10.021
|
[18] |
Gu L H, Post W M, Baldocchi D D, et al. Charaterizing the Seasonal Dynamics of Plant Community Photosynthesis Across a Range of Vegetation Types [M]//Noormets A. Phenology of Ecosystem Prcesses. New York, USA: Springer, 2009
|
[19] |
Elmore A J, Guinn S M, Minsley B J, et al. Lanscape Controls on the Timing of Spring, Autumn, and Growing Season Length in Mid-Atlantic Forests [J]. Global Change Biology, 2012, 18 (2): 656-674 doi: 10.1111/j.1365-2486.2011.02521.x
|
[20] |
Klosterman S T, Hufkens K, Gray J M, et al. Evaluating Remote Sensing of Deciduous Forest Phenology at Multiple Spatial Scales Using PhenCam Imagery[J]. Biogeosciences, 2014, 11(16): 4305-4320 doi: 10.5194/bg-11-4305-2014
|
[21] |
Jönsson P, Eklundh L. TIMESAT: A Program for Analyzing Time-Series of Satellite Sensor Data[J]. Computers & Geosciences, 2004, 30(8): 833-845
|
[22] |
Zhang X Y, Friedl M A, Schaaf C B, et al. Montoring Vegetation Phenology Using MODIS[J]. Rmote Sensing of Environment, 2003, 84 (3): 471-475 doi: 10.1016/S0034-4257(02)00135-9
|
[23] |
周玉科. 基于数码照片的植被物候提取多方法比较研究[J]. 地理科学进展, 2018, 37(8): 1031-1044 https://www.cnki.com.cn/Article/CJFDTOTAL-DLKJ201808003.htm
Zhou Yuke. Comparative Study of Vegetation Phnology Extraction Methods Based on Digital Images [J]. Progress in Geography, 2018, 37(8): 1031- 1044 https://www.cnki.com.cn/Article/CJFDTOTAL-DLKJ201808003.htm
|
[24] |
甘文霞, 沈焕锋, 张良培, 等. 采用6S模型的多时相MODIS植被指数NDVI归一化方法[J]. 武汉大学学报·信息科学版, 2014, 39(3): 300-304 doi: 10.13203/j.whugis20120731
Gan Wenxia, Shen Huanfeng, Zhang Liangpei, et al. Normalization of Multi-temporal MODIS ND- VI Based on 6S Radiative Transfer Model[J]. Gematics and Information Science of Wuhan Universty, 2014, 39(3): 300-304 doi: 10.13203/j.whugis20120731
|
[1] | LIU Ju, BAO Jingyang, XU Jun. Water Correction Method Based on Temporal Variation of Tidal Time Difference[J]. Geomatics and Information Science of Wuhan University, 2019, 44(5): 675-681, 689. DOI: 10.13203/j.whugis20170302 |
[2] | LI Pengcheng, XU Qing, XING Shuai, LIU Zhiqing, ZHANG Junjun. Weighted Curve Fitting Filtering Method Based on Full-Waveform LiDAR Data[J]. Geomatics and Information Science of Wuhan University, 2018, 43(3): 420-427. DOI: 10.13203/j.whugis20150377 |
[3] | MA Honglei, LIU Chenglong, SONG Tao, ZOU Bang, YANG Xuefeng. A New Fitting Method of Profile Circular Curve of Existing Railway[J]. Geomatics and Information Science of Wuhan University, 2016, 41(12): 1696-1700. DOI: 10.13203/j.whugis20140612 |
[4] | Jin Shaohua, Xiao Fumin, Bian Gang, Wang Mo, Sun Winchuan. A Method for Extracting Seabed Feature Parameters Based on the Angular Response Curve of Multibeam Backscatter Strength[J]. Geomatics and Information Science of Wuhan University, 2014, 39(12): 1493-1498. |
[5] | JIANG Wan, SHEN Huanfeng, ZENG Chao, ZHANG Liangpei, ZHANG Hongyan, LIU Xinxin. Destriping Method for Band 28of Terra MODIS Images[J]. Geomatics and Information Science of Wuhan University, 2014, 39(5): 526-530. DOI: 10.13203/j.whugis20130006 |
[6] | YU Jie, MU Chao, FENG Yanming, DOU Yanjuan. Powerlines Extraction Techniques from Airborne LiDAR Data[J]. Geomatics and Information Science of Wuhan University, 2011, 36(11): 1275-1279. |
[7] | GUO Qingsheng, HUANG Yuanlin, ZHANG Liping. The Method of Curve Bend Recognition[J]. Geomatics and Information Science of Wuhan University, 2008, 33(6): 596-599. |
[8] | LEI Weigang, TONG Xiaohua, LIU Dajie. Data Process Methods of Line Feature Generalization Based on Curve Fit[J]. Geomatics and Information Science of Wuhan University, 2006, 31(10): 896-899. |
[9] | ZHANG Mengjun, SHU Hong, LIU Yan, WANG Tao. An Adaptive Thresholding Approach Based on Spatial Curved Surface Fitting[J]. Geomatics and Information Science of Wuhan University, 2006, 31(5): 395-398. |
[10] | WANG Xinzhou, TANG Zhong'an, CHEN Zhihui. εm-Band Based on Spline Fitting Function of Anomalous Curves in GIS[J]. Geomatics and Information Science of Wuhan University, 2004, 29(1): 58-62. |