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Session Proposal: Land Surface Phenology: Advances in Time Series Analysis and Phenological Detection, Modeling, and Prediction Through Emerging Technologies and Multi-Scale Observations (AGU25)

B058
Land Surface Phenology: Advances in Time Series Analysis and Phenological Detection, Modeling, and Prediction Through Emerging Technologies and Multi-Scale Observations

Session ID#: 248734

Session Description:
Land Surface Phenology (LSP) is a critical indicator of ecosystem function, carbon and water cycling, and responses to environmental change and anthropogenic disturbances. With the rapid development of multi-scale remote sensing observations (e.g., near-surface imaging, UAVs, aircraft, and high-to-moderate resolution satellites) combined with advancement of time series analysis technologies (e.g., AI, machine learning), LSP research is entering a new era of discovery and innovation. This session invites contributions that (1) generate or fuse novel time series datasets across spatial and temporal scales; (2) develop or apply advanced algorithms for phenological detection, mechanistic modeling, and prediction; and (3) explore the ecological relevance, drivers, and predictive utility of LSP in the context of climate variability, land-use change, agriculture practice, and ecosystem management. We aim to foster interdisciplinary dialogue that bridges ecology, remote sensing, and data science to advance the LSP research in a changing world.
Co-Sponsor(s):
  • GC - Global Environmental Change
  • IN - Informatics
Index Terms:

0476 Plant ecology [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
1630 Impacts of global change [GLOBAL CHANGE]
1988 Temporal analysis and representation [INFORMATICS]
Primary Convener:  Yuxia Liu, South Dakota State University, Geospatial Sciences Center of Excellence (GSCE), Department of Geography & Geospatial Sciences, Brookings, SD, United States
Conveners:  Xiaoyang Zhang, South Dakota State University, Geospatial Sciences Center of Excellence (GSCE), Department of Geography & Geospatial Sciences, Brookings, United States, Feng Gao, U. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, United States and Jianmin Wang, Purdue University, Forestry and Natural Resources, West Lafayette, United States
Student/Early Career Convener:  Yongchang Ye, South Dakota State University, Geospatial Sciences Center of Excellence (GSCE), Department of Geography & Geospatial Sciences, Brookings, SD, United States
 
Identify and track white flower and leaf phenology of deciduous broadleaf trees in spring with time series PlanetScope images (1845658)
Baihong Pan1, Xiangming Xiao2, Shanshan Luo1, Li Pan3, Yuan Yao4, Chenchen Zhang2, Cheng Meng5 and Yuanwei Qin4, (1)University of Oklahoma Norman Campus, School of Biological Sciences, Center for Earth Observation and Modeling, Norman, United States, (2)School of Biological Sciences, Center for Earth Observation and Modeling, University of Oklahoma, Norman, United States, (3)University of Oklahoma, School of Biological Sciences, Norman, United States, (4)Department of Microbiology and Plant Biology, Center for Earth Observation and Modeling, University of Oklahoma, Norman, United States, (5)University of Oklahoma Norman Campus, School of Biological Sciences, Norman, United States
 
Enhancing dryland land surface phenology by fusing Harmonized Landsat and Sentinel-2 with PhenoCam time series (1857905)
Yuxia Liu1, Xiaoyang Zhang2, Yongchang Ye1, An Shuai2 and Yu Shen3, (1)South Dakota State University, Geospatial Sciences Center of Excellence (GSCE), Department of Geography & Geospatial Sciences, Brookings, SD, United States, (2)South Dakota State University, Geospatial Sciences Center of Excellence (GSCE), Department of Geography & Geospatial Sciences, Brookings, United States, (3)Duke University, Nichoals School of the Environment, Durham, United States
 
CropPlantHarvest: A 500m annual dataset of crop planting and harvesting dates (2001–2024) in the U.S. Midwest (1861891)
Yin Liu and Chunyuan Diao, University of Illinois at Urbana-Champaign, Department of Geography & Geographic Information Science, Urbana, United States
 
Refined Long-Term Satellite Leaf Area Index Reveals Sustained Global Greening and Accurate Tropical Seasonality (Invited) (1864370)
Youngryel Ryu1, Sungchan Jeong2, Pierre Gentine3, Xu Lian4, Jianing Fang3, Xing Li5, Benjamin Dechant6, Jiangong Liu7, Juwon Kong8, Liang Wan2, Dr. Changhyun Choi9, Helin Zhang2, Tackang Yang10, Jin Wu11, Guangqin Song11, Iain Coli Prentice12 and Sandy Harrison13, (1)Seoul National University, Department of Landscape Architecture and Rural Systems Engineering, Seoul, Korea, Republic of (South), (2)Seoul National University, Research Institute of Agriculture and Life Sciences, Seoul, South Korea, (3)Columbia University, Department of Earth and Environmental Engineering, New York, United States, (4)Peking University, Institute of Carbon Neutrality, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Beijing, China, (5)Sun Yat-sen University, The School of Geography and Planning, Guangzhou, China, (6)German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany, (7)Columbia University, New York, United States, (8)Interdisciplinary Program in Landscape Architecture, Seoul National University, Seoul, South Korea, (9)Inha University, Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea, Seoul, South Korea, (10)Seoul National University, Interdisciplinary Program in Lanscape Architecture, Seoul, Korea, Republic of (South), (11)The University of Hong Kong, School of Biological Sciences, Hong Kong, Hong Kong, (12)Georgina Mace Centre for the Living Planet, Department of Life Sciences, Imperial College London, Ascot, United Kingdom, (13)University of Reading, School of Archaeology, Geography and Environmental Science (SAGES), Reading, United Kingdom
 
Quality Assessment for SAR Data Affected by Precipitation Using Normalized Polarimetric Radar Vegetation Index for Agricultural Monitoring (1872905)
Dr. Jisung Chang, Feng Gao, Martha Anderson and Simon Kraatz, USDA ARS, Hydrology and Remote Sensing Laboratory, Beltsville, United States
 
Near real-time crop mapping through multimodal integration of remote sensing observations and crop planting patterns (1874841)
Lang Qiao1, Junxiong Zhou1, Fei Li2, Xuechen Li1, Shahryar Kianian3 and Ce Yang1, (1)University of Minnesota, Department of Bioproducts and Biosystems Engineering, St Paul, United States, (2)University of Wisconsin-Madison, Department of Biological Systems Engineering, Madison, United States, (3)USDA, U.S. Department of Agriculture, Agricultural Research Service, Cereal Disease Lab, Saint Paul, United States
 
Fusion of multiple temporal and spatial resolution satellite time series for land surface phenology detection (1880782)
Xiaoyang Zhang1, Yongchang Ye2, Yuxia Liu2 and Yu Shen3, (1)Geographic Information Science Center of Excellence, Brookings, SD, United States, (2)South Dakota State University, Geospatial Sciences Center of Excellence (GSCE), Department of Geography & Geospatial Sciences, Brookings, SD, United States, (3)Duke University, Nichoals School of the Environment, Durham, United States
 
Monitoring Winter Cover Crops Using Remote Sensing Phenology (1894454)
Feng Gao, USDA ARS HRSL, Beltsvillle, MD, United States, Martha Anderson, USDA ARS, Hydrology and Remote Sensing Laboratory, Beltsville, United States and W. D. Hively, U.S. Geological Survey, Lower Mississippi-Gulf Water Science Center, Beltsville, United States
 
Species-Level Phenological Characterization of Urban Trees Using PlanetScope Imagery (1911735)
K M Nafee and Liang Liang, University of Kentucky, Geography, Lexington, United States
 
Evaluating Five Satellite Vegetation Indices for Monitoring Crop Phenology (1926593)
Peiyu Du1, Xiaoyang Zhang2, Yu Shen3, Yuxia Liu4 and Yongchang Ye4, (1)South Dakota State University, Brookings, SD, United States, (2)South Dakota State University, Geospatial Sciences Center of Excellence (GSCE), Department of Geography & Geospatial Sciences, Brookings, United States, (3)Duke University, Nichoals School of the Environment, Durham, United States, (4)South Dakota State University, Geospatial Sciences Center of Excellence (GSCE), Department of Geography & Geospatial Sciences, Brookings, SD, United States
 
Exploring Climate Variation Impacts on Crop Growth Stage Durations at County Level Across Central United States (1957856)
Naeem Abbas Malik, South Dakota State University, Geospatial Sciences Center of Excellence (GSCE), Department of Geography and Geospatial Sciences, Brookings, SD, United States and Xiaoyang Zhang, South Dakota State University, Geospatial Sciences Center of Excellence (GSCE), Department of Geography & Geospatial Sciences, Brookings, United States
 
Identifying Soybean Phenology Using UAV Based Multispectral Indices (1963694)
Sudip Poudel, Kentucky State University, Frankfort, Kentucky, UNITED STATES and Anuj Chiluwal, Kentucky State University, Frankfort, United States
 
Rethinking Land Surface Phenology Modeling in an Era of Abundant Dense Time Series (1969258)
Geoffrey M Henebry, Michigan State University, Department of Geography, Environment, and Spatial Sciences & Center for Global Change and Earth Observations, East Lansing, United States, Monika Tomaszewska, Michigan State University, Center for Global Change and Earth Observations, East Lansing, United States, Igor Sîrodoev, Ovidius University of Constanța, Constanța, Romania and Mateo Gašparović, University of Zagreb, Faculty of Geodesy, Zagreb, Croatia
 
Integrating Ground-Based Imaging and Satellite Time Series to Monitor Early-Season Vegetative Growth in Grapevines (1984868)
Manushi Trivedi, Cornell University, Ithaca, NY, United States; Postdoctoral Associate, Ithaca, United States, Hannah Grover, US Air Force Academy, USAF Academy, United States, Lucas Ulmer, Postdoctoral researcher, Salt Lake City, United States, Rob Stall, Professor, Salt Lake City, United States, Kaitlin Gold, Cornell University, Cornell Agritech, Plant Pathology Section, Geneva, NY, United States and Hannah Grover
 
GTGRI: A Gaussian Time-Weighted Growth Index for Robust Paddy Rice Detection Using Sentinel-1 SAR (1986974)
Di Liu, University of Oklahoma, Center for Spatial Analysis, Norman, United States and Chengbin Deng, University of Oklahoma, Center for Spatial Analysis; Department of Geography and Environmental Sustainability, Norman, United States
 
Disentangling Terrestrial Complexity Through Phenological Deconvolution of Woody and Herbaceous Leaf Area Dynamics Across North American Biomes (1991005)
Njoki NJOKI Kahiu1, Julius Anchang2, Lara Prihodko3, Hatim M.E. Geli4 and Niall P Hanan1, (1)New Mexico State University Main Campus, Department of Plant and Environmental Sciences, Las Cruces, United States, (2)New Mexico State University, Plant and Environmental Sciences, Las Cruces, United States, (3)New Mexico State University, Animal and Range Sciences, Las Cruces, United States, (4)Department of Animal and Range Sciences, New Mexico State University, Las Cruces, NM 88003, USA, Las Cruces, United States
 
Drought‑Induced Phenological Changes of Urban Trees captured by high-resolution Sentinel‑2 leaf area index over Suwon City, South Korea (1993258)
Hyun Jung Hong1, Youngryel Ryu1, Sungchan Jeong2, Dr. Changhyun Choi3 and Tackang Yang4, (1)Seoul National University, Department of Landscape Architecture and Rural Systems Engineering, Seoul, South Korea, (2)Seoul National University, Research Institute of Agriculture and Life Sciences, Seoul, South Korea, (3)Inha University, Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea, Seoul, South Korea, (4)Seoul National University, Interdisciplinary Program in Lanscape Architecture, Seoul, Korea, Republic of (South)
 
Mitigating Differences of Multi-Sensor Satellite Time Series for Analyzing Long-term Global Land Surface Phenology Trends (1995965)
Yongchang Ye1, Xiaoyang Zhang2, Yuxia Liu1 and Shuai An2, (1)South Dakota State University, Geospatial Sciences Center of Excellence (GSCE), Department of Geography & Geospatial Sciences, Brookings, SD, United States, (2)South Dakota State University, Geospatial Sciences Center of Excellence (GSCE), Department of Geography & Geospatial Sciences, Brookings, United States
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