WOFOST-Publications
From CSDMS
WOFOST-Publications
References WOFOST
Total peer and non-peer reviewed publications |
126 |
Journal Articles |
105 |
Books |
0 |
Book sections |
4 |
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| Peer reviewed reference(s) | Open Access Status | Year | Cited |
|---|---|---|---|
| Peer reviewed reference(s) | Open Access Status | Year | Cited |
| Wang, Bo; Yang, Xiaolin; van Dam, Jos; Nan, Tiegui; Du, Taisheng; Kang, Shaozhong; Ritsema, Coen; 2026. Legume-Based Rotations Reduce Cereal Yield Loss and Water Use to Enhance System Yield Resilience in Response to Climate Change. Agriculture, 16335. 10.3390/agriculture16030335 |  cc-by · publishedVersion | 2026 | 1 |
| Zhong, Xianhui; Wang, Jiechen; Chi, Jianan; Jiang, Liang; Wang, Qi; Chang, Lin; Bai, Tiecheng; 2026. Agri-Fuse Spatiotemporal Fusion Integrated Multi-Model Synergy for High-Precision Cotton Yield Estimation in Arid Regions. Remote Sensing, 18339. 10.3390/rs18020339 | cc-by · publishedVersion | 2026 | 0 |
| Xu, Jingyuan; Du, Xin; Dong, Taifeng; Li, Qiangzi; Zhang, Yuan; Wang, Hongyan; Xiao, Jing; Zhang, Jiashu; Shen, Yunqi; Dong, Yong; 2026. NortheastChinaSoybeanYield20m: an annual soybean yield dataset at 20 m in Northeast China from 2019 to 2023. Earth System Science Data, 182413–2441. 10.5194/essd-18-2413-2026 | cc-by · publishedVersion | 2026 | 2 |
| Mohamed, Marwa Samy; , ; , ; 2026. Simulating the Winter Wheat Production of Egypt Using WOFOST-PCSE Crop Model. Journal of Agrometeorology, 28249–254. 10.54386/jam.v28i2.3379 | cc-by-nc-sa · publishedVersion | 2026 | 0 |
| Fan, Zehua; Qin, Yasen; Chi, Jianan; Yan, Ning; 2025. Enhancing Pear Tree Yield Estimation Accuracy by Assimilating LAI and SM into the WOFOST Model Based on Satellite Remote Sensing Data. Agriculture, 15464. 10.3390/agriculture15050464 | cc-by · publishedVersion | 2025 | 1 |
| Du, Xin; Zhu, Jiong; Xu, Jingyuan; Li, Qiangzi; Tao, Zui; Zhang, Yuan; Wang, Hongyan; Hu, Haoxuan; 2025. Remote sensing-based winter wheat yield estimation integrating machine learning and crop growth multi-scenario simulations. International Journal of Digital Earth, 18. 10.1080/17538947.2024.2443470 | · publishedVersion | 2025 | 13 |
| Zheng, Jinhui; Yu, Le; Du, Zhenrong; Xiao, Liujun; Huang, Xiaomeng; 2025. Modeling wheat development under extreme weather with WOFOST-EW v1. Geoscientific Model Development, 188379–8400. 10.5194/gmd-18-8379-2025 | cc-by · publishedVersion | 2025 | 6 |
| Yokoyama, Yui; de Wit, Allard; Matsui, Tsutomu; Tanaka, Takashi S. T.; 2024. Accuracy and robustness of a plant-level cabbage yield prediction system generated by assimilating UAV-based remote sensing data into a crop simulation model. Precision Agriculture, 252685–2702. 10.1007/s11119-024-10192-3 |  cc-by · publishedVersion | 2024 | 14 |
| Alimagham, Seyyedmajid; van Loon, Marloes P.; Ramirez-Villegas, Julian; Berghuijs, Herman N. C; van Ittersum, Martin K.; 2024. Daily bias-corrected weather data and daily simulated growth data of maize, millet, sorghum, and wheat in the changing climate of sub-Saharan Africa. Data in Brief, 54110455. 10.1016/j.dib.2024.110455 | cc-by-nc-nd · publishedVersion | 2024 | 3 |
| Li, Guanghua; Chen, Wei; Cui, Yafeng; Wang, Han; Chi, Yanbing; 2024. The adaptability and irrigation constraints analysis of the WOFOST model for grain production in the Songhua River Basin. Journal of the Science of Food and Agriculture, . 10.1002/jsfa.13630 |  closed | 2024 | 3 |
| Wanthanaporn, Ubolya; Supit, Iwan; Chaowiwat, Winai; Hutjes, Ronald W.A.; 2024. Skill of rice yields forecasting over Mainland Southeast Asia using the ECMWF SEAS5 ensemble prediction system and the WOFOST crop model. Agricultural and Forest Meteorology, 351110001. 10.1016/j.agrformet.2024.110001 | cc-by-nc · publishedVersion | 2024 | 18 |
| S., Mohamed Naziq; N. K., Sathyamoorthy; Ga, Dheebakaran; S., Pazhanivelan; N., Vadivel; 2024. Coupled weather and crop simulation modeling for smart irrigation planning: a review. Water Supply, . 10.2166/ws.2024.170 | cc-by · publishedVersion | 2024 | 13 |
| Chen, Jiameng; Zhang, Peiyan; Liu, Junming; Deng, Jingyuan; Su, Wei; Wang, Pengxin; Li, Ying; 2024. Study on the impact of low‐temperature stress on winter wheat based on multi‐model coupling. Food and Energy Security, 13. 10.1002/fes3.543 | cc-by · publishedVersion | 2024 | 7 |
| Xue, Jing; Ren, Li; 2024. Simulating the impact of subsurface pipe drainage systems on crop water productivity at a regional scale in the upper Yellow River Basin. Irrigation and Drainage, 73627–648. 10.1002/ird.2887 | closed | 2024 | 6 |
| Liu, Junyi; Hou, Xianpeng; Chen, Shuaiming; Mu, Yanhua; Huang, Hai; Wang, Hengbin; Liu, Zhe; Li, Shaoming; Zhang, Xiaodong; Zhao, Yuanyuan; Huang, Jianxi; 2023. A method for estimating yield of maize inbred lines by assimilating WOFOST model with Sentinel-2 satellite data. Frontiers in Plant Science, 14. 10.3389/fpls.2023.1201179 | cc-by · publishedVersion | 2023 | 12 |
| Dhillon, Maninder Singh; Kübert-Flock, Carina; Dahms, Thorsten; Rummler, Thomas; Arnault, Joel; Steffan-Dewenter, Ingolf; Ullmann, Tobias; 2023. Evaluation of MODIS, Landsat 8 and Sentinel-2 Data for Accurate Crop Yield Predictions: A Case Study Using STARFM NDVI in Bavaria, Germany. Remote Sensing, 151830. 10.3390/rs15071830 | cc-by · publishedVersion | 2023 | 35 |
| Zhuo, Wen; Huang, Hai; Gao, Xinran; Li, Xuecao; Huang, Jianxi; 2023. An Improved Approach of Winter Wheat Yield Estimation by Jointly Assimilating Remotely Sensed Leaf Area Index and Soil Moisture into the WOFOST Model. Remote Sensing, 151825. 10.3390/rs15071825 | cc-by · publishedVersion | 2023 | 29 |
| Dlamini, Luleka; Crespo, Olivier; van Dam, Jos; Kooistra, Lammert; 2023. A Global Systematic Review of Improving Crop Model Estimations by Assimilating Remote Sensing Data: Implications for Small-Scale Agricultural Systems. Remote Sensing, 154066. 10.3390/rs15164066 | cc-by · publishedVersion | 2023 | 35 |
| Ren, Yiting; Li, Qiangzi; Du, Xin; Zhang, Yuan; Wang, Hongyan; Shi, Guanwei; Wei, Mengfan; 2023. Analysis of Corn Yield Prediction Potential at Various Growth Phases Using a Process-Based Model and Deep Learning. Plants, 12446. 10.3390/plants12030446 | cc-by · publishedVersion | 2023 | 39 |
| Li, Xinlong; Tan, Junli; Li, Hong; Wang, Lili; Niu, Guoli; Wang, Xina; 2023. Sensitivity Analysis of the WOFOST Crop Model Parameters Using the EFAST Method and Verification of Its Adaptability in the Yellow River Irrigation Area, Northwest China. Agronomy, 132294. 10.3390/agronomy13092294 | cc-by · publishedVersion | 2023 | 16 |
| Pushpalatha, Raji; Shiny, R.; Kutty, Govindan; Dua, V. K.; Sunitha, S.; Santhosh Mithra, V. S.; Byju, G.; 2022. Testing of Cassava (Manihot esculenta) Varieties for Climate Resilience Under Kerala (India) Conditions. Agricultural Research, 1124–31. 10.1007/s40003-021-00547-x | closed | 2022 | 0 |
| Wang, Chengkun; Zhang, Nannan; Li, Mingzhe; Li, Li; Bai, Tiecheng; 2022. Pear Tree Growth Simulation and Soil Moisture Assessment Considering Pruning. Agriculture, 121653. 10.3390/agriculture12101653 | cc-by · publishedVersion | 2022 | 8 |
| Zhuo, Wen; Huang, Jianxi; Xiao, Xiangming; Huang, Hai; Bajgain, Rajen; Wu, Xiaocui; Gao, Xinran; Wang, Jie; Li, Xuecao; Wagle, Pradeep; 2022. Assimilating remote sensing-based VPM GPP into the WOFOST model for improving regional winter wheat yield estimation. European Journal of Agronomy, 139126556. 10.1016/j.eja.2022.126556 | closed | 2022 | 53 |
| Liu, Jiandong; Du, Jun; Liu, De-Li; Linderholm, Hans W.; Zhou, Guangsheng; Song, Yanling; Shen, Yanbo; Yu, Qiang; 2022. Spatial and Temporal Variations in the Potential Yields of Highland Barley in Relation to Climate Change in Three Rivers Region of the Tibetan Plateau from 1961 to 2020. Sustainability, 147719. 10.3390/su14137719 | cc-by · publishedVersion | 2022 | 2 |
| Beyene, Awetahegn Niguse; Zeng, Hongwei; Wu, Bingfang; Zhu, Liang; Gebremicael, Tesfay Gebretsadkan; Zhang, Miao; Bezabh, Temesgen; 2022. Coupling remote sensing and crop growth model to estimate national wheat yield in Ethiopia. Big Earth Data, 618–35. 10.1080/20964471.2020.1837529 | cc-by · publishedVersion | 2022 | 28 |
| Abebe, Gebeyehu; Tadesse, Tsegaye; Gessesse, Berhan; 2022. Assimilation of leaf Area Index from multisource earth observation data into the WOFOST model for sugarcane yield estimation. International Journal of Remote Sensing, 43698–720. 10.1080/01431161.2022.2027547 | closed | 2022 | 29 |
| Ji, Fujiang; Meng, Jihua; Cheng, Zhiqiang; Fang, Huiting; Wang, Yanan; 2022. Crop Yield Estimation at Field Scales by Assimilating Time Series of Sentinel-2 Data Into a Modified CASA-WOFOST Coupled Model. IEEE Transactions on Geoscience and Remote Sensing, 601–14. 10.1109/TGRS.2020.3047102 |  · publishedVersion | 2022 | 51 |
| Xu, Xin; Shen, Shuaijie; Xiong, Shuping; Ma, Xinming; Fan, Zehua; Han, Haiyang; 2021. Water Stress is a Key Factor Influencing the Parameter Sensitivity of the WOFOST Model in Different Agro-Meteorological Conditions. International Journal of Plant Production, 15231–242. 10.1007/s42106-021-00137-5 | closed | 2021 | 14 |
| Li, Pei; Ren, Li; 2021. Evaluating the saline water irrigation schemes using a distributed agro-hydrological model. Journal of Hydrology, 594125688. 10.1016/j.jhydrol.2020.125688 | closed | 2021 | 31 |
| Pushpalatha, Raji; Shiny, R.; Kutty, Govindan; Dua, V. K.; Sunitha, S.; Santhosh Mithra, V. S.; Byju, G.; 2021. Testing of Cassava (Manihot esculenta) Varieties for Climate Resilience Under Kerala (India) Conditions. Agricultural Research, . 10.1007/s40003-021-00547-x | closed | 2021 | 2 |
| Wu, Shangrong; Yang, Peng; Chen, Zhongxin; Ren, Jianqiang; Li, He; Sun, Liang; 2021. Estimating winter wheat yield by assimilation of remote sensing data with a four-dimensional variation algorithm considering anisotropic background error and time window. Agricultural and Forest Meteorology, 301108345. 10.1016/j.agrformet.2021.108345 | closed | 2021 | 39 |
| Gardner, A.S.; Maclean, I.M.D.; Gaston, K.J.; Bütikofer, L.; 2021. Forecasting future crop suitability with microclimate data. Agricultural Systems, 190103084. 10.1016/j.agsy.2021.103084 | cc-by · publishedVersion | 2021 | 34 |
| Hensawang, Saruda; Injan, Sittisak; Varnakovida, Pariwate; Humphries, Usa; 2021. Predicting Rice Production in Central Thailand Using the WOFOST Model with ENSO Impact. Mathematical and Computational Applications, 2672. 10.3390/mca26040072 | cc-by · publishedVersion | 2021 | 6 |
| Chen, Xuanjing; Strokal, Maryna; Kroeze, Carolien; Supit, Iwan; Wang, Mengru; Ma, Lin; Chen, Xinping; Shi, Xiaojun; 2020. Modeling the Contribution of Crops to Nitrogen Pollution in the Yangtze River. Environmental Science & Technology, 5411929–11939. 10.1021/acs.est.0c01333 |  · submittedVersion | 2020 | 39 |
| Tang, Yibo; Liu, Meiling; Liu, Xiangnan; Wu, Ling; Zhao, Bingyu; Wu, Chuanyu; 2020. Spatio-temporal Index Based on Time Series of Leaf Area Index for Identifying Heavy Metal Stress in Rice under Complex Stressors. International Journal of Environmental Research and Public Health, 172265. 10.3390/ijerph17072265 | cc-by · publishedVersion | 2020 | 11 |
| Dhillon, Maninder Singh; Dahms, Thorsten; Kuebert-Flock, Carina; Borg, Erik; Conrad, Christopher; Ullmann, Tobias; 2020. Modelling Crop Biomass from Synthetic Remote Sensing Time Series: Example for the DEMMIN Test Site, Germany. Remote Sensing, 121819. 10.3390/rs12111819 | cc-by · publishedVersion | 2020 | 27 |
| Ouko, O.R.J.; 2020. Agroforestry: A Triple Win for Mixed Farming Systems in Central Rift Valley, Ethiopia. Journal of Biology, Agriculture and Healthcare, . 10.7176/JBAH/10-4-01 | cc-by · publishedVersion | 2020 | 0 |
| Meng, Jihua; Cheng, Zhiqiang; 2020. Improving the estimation of soil-available nutrients at the sub-field scale using time-series UAV observations. Remote Sensing Letters, 11739–747. 10.1080/2150704X.2020.1763498 | closed | 2020 | 7 |
| Wu, Shangrong; Ren, Jianqiang; Chen, Zhongxin; Yang, Peng; Li, He; Liu, Jia; 2020. Evaluation of Winter Wheat Yield Simulation Based on Assimilating LAI Retrieved From Networked Optical and SAR Remotely Sensed Images Into the WOFOST Model. IEEE Transactions on Geoscience and Remote Sensing, 1–15. 10.1109/TGRS.2020.3038205 | closed | 2020 | 31 |
| Zhao, B.; Liu, M.; Wu, J.; Liu, X.; Wu, L.; 2020. Parallel Computing for Obtaining Regional Scale Rice Growth Conditions Based on WOFOST and Satellite Images. IEEE Access, 8223675–223685. 10.1109/ACCESS.2020.3043003 | cc-by · publishedVersion | 2020 | 10 |
| Kulig, Bogdan; Skowera, Barbara; Klimek-Kopyra, Agnieszka; Kołodziej, Stanisław; Grygierzec, Wiesław; 2020. The Use of the WOFOST Model to Simulate Water-Limited Yield of Early Potato Cultivars. Agronomy, 1081. 10.3390/agronomy10010081 | cc-by · publishedVersion | 2020 | 11 |
| Zhuo, Wen; Huang, Jianxi; Gao, Xinran; Ma, Hongyuan; Huang, Hai; Su, Wei; Meng, Jihua; Li, Ying; Chen, Huailiang; Yin, Dongqin; 2020. Prediction of Winter Wheat Maturity Dates through Assimilating Remotely Sensed Leaf Area Index into Crop Growth Model. Remote Sensing, 122896. 10.3390/rs12182896 | cc-by · publishedVersion | 2020 | 33 |
| Cheng, Zhiqiang; Meng, Jihua; Shang, Jiali; Liu, Jiangui; Huang, Jianxi; Qiao, Yanyou; Qian, Budong; Jing, Qi; Dong, Taifeng; Yu, Lihong; 2020. Generating Time-Series LAI Estimates of Maize Using Combined Methods Based on Multispectral UAV Observations and WOFOST Model. Sensors, 206006. 10.3390/s20216006 | cc-by · publishedVersion | 2020 | 21 |
| Mandal, Dipankar; Rao, Y.S.; 2020. SASYA: An integrated framework for crop biophysical parameter retrieval and within-season crop yield prediction with SAR remote sensing data. Remote Sensing Applications: Society and Environment, 20100366. 10.1016/j.rsase.2020.100366 | closed | 2020 | 19 |
| Quintero, Diego; Díaz, Eliécer; 2020. A comparison of two open-source crop simulation models for a potato crop. Agronomía Colombiana, 38. 10.15446/agroncolomb.v38n3.82525 |  unknown | 2020 | 5 |
| Zhou, Gaoxiang; Liu, Xiangnan; Liu, Ming; 2019. Assimilating Remote Sensing Phenological Information into the WOFOST Model for Rice Growth Simulation. Remote Sensing, 11268. 10.3390/rs11030268 | cc-by · publishedVersion | 2019 | 35 |
| Pinto, Victor Meriguetti; van Dam, Jos C.; de Jong van Lier, Quirijn; Reichardt, Klaus; 2019. Intercropping Simulation Using the SWAP Model: Development of a 2×1D Algorithm. Agriculture, 9126. 10.3390/agriculture9060126 | cc-by · publishedVersion | 2019 | 13 |
| Zhuo, Wen; Huang, Jianxi; Li, Li; Zhang, Xiaodong; Ma, Hongyuan; Gao, Xinran; Huang, Hai; Xu, Baodong; Xiao, Xiangming; 2019. Assimilating Soil Moisture Retrieved from Sentinel-1 and Sentinel-2 Data into WOFOST Model to Improve Winter Wheat Yield Estimation. Remote Sensing, 111618. 10.3390/rs11131618 | cc-by · publishedVersion | 2019 | 116 |
| Song, Yanling; Wang, Chunyi; Linderholm, Hans W.; Tian, Jinfeng; Shi, Ying; Xu, Jinxia; Liu, Yanju; 2019. Agricultural Adaptation to Global Warming in the Tibetan Plateau. International Journal of Environmental Research and Public Health, 163686. 10.3390/ijerph16193686 | cc-by · publishedVersion | 2019 | 17 |
| Bai, Tiecheng; Zhang, Nannan; Chen, Youqi; Mercatoris, Benoit; 2019. Assessing the Performance of the WOFOST Model in Simulating Jujube Fruit Tree Growth under Different Irrigation Regimes. Sustainability, 111466. 10.3390/su11051466 | cc-by · publishedVersion | 2019 | 12 |
| Bai, Tiecheng; Wang, Shanggui; Meng, Wenbo; Zhang, Nannan; Wang, Tao; Chen, Youqi; Mercatoris, Benoit; 2019. Assimilation of Remotely-Sensed LAI into WOFOST Model with the SUBPLEX Algorithm for Improving the Field-Scale Jujube Yield Forecasts. Remote Sensing, 111945. 10.3390/rs11161945 | cc-by · publishedVersion | 2019 | 24 |
| Li, Daoliang; Ma, Shangjie; Pei, Zhiyuan; He, Yajuan; 2019. Study on Simulation of Rice Yield with WOFOST in Heilongjiang Province. , 50940–51. [1] | unknown | 2019 | 2 |
| Ko, Jonghan; Tim Ng, Chi; Jeong, Seungtaek; Kim, Jun-Hwan; Lee, Byunwoo; Kim, Han-Yong; 2019. Impacts of regional climate change on barley yield and its geographical variation in South Korea. International Agrophysics, 3381–96. 10.31545/intagr/104398 | cc-by · publishedVersion | 2019 | 21 |
| Xu, Zhao; Zhao, Shuang; Qian, Xu; 2019. Extracting heavy metal stress indicators from remote sensing imagery using WOFOST model and wavelet packet decomposition algorithm. IOP Conference Series: Materials Science and Engineering, 592012056. 10.1088/1757-899X/592/1/012056 | cc-by · publishedVersion | 2019 | 0 |
| de Wit, Allard; Boogaard, Hendrik; Fumagalli, Davide; Janssen, Sander; Knapen, Rob; van Kraalingen, Daniel; Supit, Iwan; van der Wijngaart, Raymond; van Diepen, Kees; 2019. 25 years of the WOFOST cropping systems model. Agricultural Systems, 168154–167. 10.1016/j.agsy.2018.06.018 | cc-by · publishedVersion | 2019 | 389 |
| Li, Pei; Ren, Li; 2019. Evaluating the effects of limited irrigation on crop water productivity and reducing deep groundwater exploitation in the North China Plain using an agro-hydrological model: II. Scenario simulation and analysis. Journal of Hydrology, 574715–732. 10.1016/j.jhydrol.2019.03.034 | closed | 2019 | 40 |
| Cheng, Zhiqiang; Meng, Jihua; Shang, Jiali; Liu, Jiangui; Qiao, Yanyou; Qian, Budong; Jing, Qi; Dong, Taifeng; 2019. Improving Soil Available Nutrient Estimation by Integrating Modified WOFOST Model and Time-Series Earth Observations. IEEE Transactions on Geoscience and Remote Sensing, 572896–2908. 10.1109/TGRS.2018.2878382 | closed | 2019 | 19 |
| Li, Pei; Ren, Li; 2019. Evaluating the effects of limited irrigation on crop water productivity and reducing deep groundwater exploitation in the North China Plain using an agro-hydrological model: I. Parameter sensitivity analysis, calibration and model validation. Journal of Hydrology, 574497–516. 10.1016/j.jhydrol.2019.04.053 | closed | 2019 | 71 |
| Liu, Meiling; Skidmore, Andrew K.; Wang, Tiejun; Liu, Xiangnan; Wu, Ling; Tian, Lingwen; 2019. An approach for heavy metal pollution detected from spatio-temporal stability of stress in rice using satellite images. International Journal of Applied Earth Observation and Geoinformation, 80230–239. 10.1016/j.jag.2019.04.012 | other-oa · publishedVersion | 2019 | 7 |
| Ogutu, Geoffrey E.O.; Franssen, Wietse H.P.; Supit, Iwan; Omondi, P.; Hutjes, Ronald W.A.; 2018. Probabilistic maize yield prediction over East Africa using dynamic ensemble seasonal climate forecasts. Agricultural and Forest Meteorology, 250243–261. 10.1016/j.agrformet.2017.12.256 | cc-by · publishedVersion | 2018 | 64 |
| Roberts, Jamie; 2018. Seasonal and subseasonal forecasts : overview and applications for economics. , . 10.7289/V5/SG-NCRL-18-17 | unknown | 2018 | 0 |
| Abadi, F. R.; Tastra, I. K.; Koentjoro, B. S.; 2018. Preliminary Study of WOFOST Crop Simulation in Its Prospect for Soybean (Glycine max L.) Optimum Harvest Time and Yield Gap Analysis in East Java. AGRIVITA Journal of Agricultural Science, 40. 10.17503/agrivita.v40i3.1832 | cc-by-nc · publishedVersion | 2018 | 3 |
| Zhu, Jiangxu; Zeng, Wenzhi; Ma, Tao; Lei, Guoqing; Zha, Yuanyuan; Fang, Yuanhao; Wu, Jingwei; Huang, Jiesheng; 2018. Testing and Improving the WOFOST Model for Sunflower Simulation on Saline Soils of Inner Mongolia, China. Agronomy, 8172. 10.3390/agronomy8090172 | cc-by · publishedVersion | 2018 | 15 |
| Zhao, Shuang; Qian, Xu; Liu, Xiangnan; Xu, Zhao; 2018. Finding the Key Periods for Assimilating HJ-1A/B CCD Data and the WOFOST Model to Evaluate Heavy Metal Stress in Rice. Sensors, 181230. 10.3390/s18041230 | cc-by · publishedVersion | 2018 | 5 |
| Cheng, Zhiqiang; Meng, Jihua; Qiao, Yanyou; Wang, Yiming; Dong, Wenquan; Han, Yanxin; 2018. Preliminary Study of Soil Available Nutrient Simulation Using a Modified WOFOST Model and Time-Series Remote Sensing Observations. Remote Sensing, 1064. 10.3390/rs10010064 | cc-by · publishedVersion | 2018 | 25 |
| Wang, Dongmin; Liu, Xiangnan; 2018. Comparative Analysis of GF-1 and HJ-1 Data to Derive the Optimal Scale for Monitoring Heavy Metal Stress in Rice. International Journal of Environmental Research and Public Health, 15461. 10.3390/ijerph15030461 | cc-by · publishedVersion | 2018 | 5 |
| Liu, Tianjiao; Liu, Xiangnan; Liu, Meiling; Wu, Ling; 2018. Evaluating Heavy Metal Stress Levels in Rice Based on Remote Sensing Phenology. Sensors, 18860. 10.3390/s18030860 | cc-by · publishedVersion | 2018 | 17 |
| Huang, Xiao; Huang, Guorui; Yu, Chaoqing; Ni, Shaoqiang; Yu, Le; 2017. A multiple crop model ensemble for improving broad-scale yield prediction using Bayesian model averaging. Field Crops Research, 211114–124. 10.1016/j.fcr.2017.06.011 | closed | 2017 | 53 |
| Zhou, Gaoxiang; Liu, Xiangnan; Zhao, Shuang; Liu, Ming; Wu, Ling; 2017. Estimating FAPAR of Rice Growth Period Using Radiation Transfer Model Coupled with the WOFOST Model for Analyzing Heavy Metal Stress. Remote Sensing, 9424. 10.3390/rs9050424 | cc-by · publishedVersion | 2017 | 30 |
| Combe, M.; de Wit, A. J. W.; Vilà-Guerau de Arellano, J.; van der Molen, M. K.; Magliulo, V.; Peters, W.; 2017. Grain Yield Observations Constrain Cropland CO 2 Fluxes Over Europe: YIELD DATA CONSTRAINS CROP CO 2 EXCHANGE. Journal of Geophysical Research: Biogeosciences, 1223238–3259. 10.1002/2017JG003937 | other-oa · publishedVersion | 2017 | 6 |
| , ; 2017. Extraction of Rice Heavy Metal Stress Signal Features Based on Long Time Series Leaf Area Index Data Using Ensemble Empirical Mode Decomposition. International Journal of Environmental Research and Public Health, 141018. 10.3390/ijerph14091018 | cc-by · publishedVersion | 2017 | 25 |
| Eweys, Omar Ali; Elwan, Abeer A.; Borham, Taha I.; 2017. Integrating WOFOST and Noah LSM for modeling maize production and soil moisture with sensitivity analysis, in the east of The Netherlands. Field Crops Research, 210147–161. 10.1016/j.fcr.2017.06.004 | closed | 2017 | 29 |
| Jin, Ming; Liu, Xiangnan; Wu, Ling; Liu, Meiling; 2017. Distinguishing Heavy-Metal Stress Levels in Rice Using Synthetic Spectral Index Responses to Physiological Function Variations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1075–86. 10.1109/JSTARS.2016.2529647 | closed | 2017 | 12 |
| Cheng, Zhiqiang; Meng, Jihua; Wang, Yiming; 2016. Improving Spring Maize Yield Estimation at Field Scale by Assimilating Time-Series HJ-1 CCD Data into the WOFOST Model Using a New Method with Fast Algorithms. Remote Sensing, 8303. 10.3390/rs8040303 | cc-by · publishedVersion | 2016 | 73 |
| Li, Daoliang; Li, Zhenbo; Ma, Shangjie; Pei, Zhiyuan; He, Yajuan; Wang, Lianlin; Ma, Zhiping; 2016. Simulation of Winter Wheat Yield with WOFOST in County Scale. , 478161–172. [2] | unknown | 2016 | 0 |
| Tao, Sulin; Shen, Shuanghe; Li, Yuhong; Wang, Qi; Gao, Ping; Mugume, Isaac; 2016. Projected Crop Production under Regional Climate Change Using Scenario Data and Modeling: Sensitivity to Chosen Sowing Date and Cultivar. Sustainability, 8214. 10.3390/su8030214 | cc-by · publishedVersion | 2016 | 21 |
| Liu, Feng; Liu, Xiangnan; Wu, Ling; Xu, Zhao; Gong, Lu; 2016. Optimizing the Temporal Scale in the Assimilation of Remote Sensing and WOFOST Model for Dynamically Monitoring Heavy Metal Stress in Rice. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 91685–1695. 10.1109/JSTARS.2015.2499258 | closed | 2016 | 11 |
| Huang, Zhi; Liu, Xiangnan; Jin, Ming; Ding, Chao; Jiang, Jiale; Wu, Ling; 2016. Deriving the Characteristic Scale for Effectively Monitoring Heavy Metal Stress in Rice by Assimilation of GF-1 Data with the WOFOST Model. Sensors, 16340. 10.3390/s16030340 | cc-by · publishedVersion | 2016 | 14 |
| Liu, Ming; Liu, Xiangnan; Liu, Meiling; Liu, Feng; Jin, Ming; Wu, Ling; 2016. Root mass ratio: index derived by assimilation of synthetic aperture radar and the improved World Food Study model for heavy metal stress monitoring in rice. Journal of Applied Remote Sensing, 10026038. 10.1117/1.JRS.10.026038 | closed | 2016 | 5 |
| Liu, Feng; Liu, Xiangnan; Zhao, Liting; Ding, Chao; Jiang, Jiale; Wu, Ling; 2015. The Dynamic Assessment Model for Monitoring Cadmium Stress Levels in Rice Based on the Assimilation of Remote Sensing and the WOFOST Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 81330–1338. 10.1109/JSTARS.2014.2371058 | closed | 2015 | 34 |
| Ahuja, Lajpat R.; Ma, Liwang; Lascano, Robert J.; Ahuja, L.R.; Saseendran, S.A.; Fang, Q.X.; Nielsen, David C.; Wang, Enli; Colaizzi, Paul D.; 2015. Syntheses of the Current Model Applications for Managing Water and Needs for Experimental Data and Model Improvements to Enhance these Applications. , 399–437. [3] | unknown | 2015 | 14 |
| Liu, Feng; Liu, Xiangnan; Ding, Chao; Wu, Ling; 2015. The dynamic simulation of rice growth parameters under cadmium stress with the assimilation of multi-period spectral indices and crop model. Field Crops Research, 183225–234. 10.1016/j.fcr.2015.08.004 | closed | 2015 | 91 |
| Jin, Ming; Liu, Xiangnan; Wu, Ling; Liu, Meiling; 2015. An improved assimilation method with stress factors incorporated in the WOFOST model for the efficient assessment of heavy metal stress levels in rice. International Journal of Applied Earth Observation and Geoinformation, 41118–129. 10.1016/j.jag.2015.04.023 | closed | 2015 | 49 |
| Kassie, B.T.; Van Ittersum, M.K.; Hengsdijk, H.; Asseng, S.; Wolf, J.; Rötter, R.P.; 2014. Climate-induced yield variability and yield gaps of maize (Zea mays L.) in the Central Rift Valley of Ethiopia. Field Crops Research, 16041–53. 10.1016/j.fcr.2014.02.010 | · acceptedVersion | 2014 | 117 |
| Li, Yan; Zhou, Qingguo; Zhou, Jian; Zhang, Gaofeng; Chen, Chong; Wang, Jing; 2014. Assimilating remote sensing information into a coupled hydrology-crop growth model to estimate regional maize yield in arid regions. Ecological Modelling, 29115–27. 10.1016/j.ecolmodel.2014.07.013 | cc-by-nc-nd · submittedVersion | 2014 | 121 |
| Wu, Ling; Liu, Xiangnan; Wang, Ping; Zhou, Botian; Liu, Meiling; Li, Xuqing; 2013. The assimilation of spectral sensing and the WOFOST model for the dynamic simulation of cadmium accumulation in rice tissues. International Journal of Applied Earth Observation and Geoinformation, 2566–75. 10.1016/j.jag.2013.04.002 | closed | 2013 | 42 |
| Wang, Jing; Li, Xin; Lu, Ling; Fang, Feng; 2013. Estimating near future regional corn yields by integrating multi-source observations into a crop growth model. European Journal of Agronomy, 49126–140. 10.1016/j.eja.2013.03.005 | closed | 2013 | 82 |
| Ma, Guannan; Huang, Jianxi; Wu, Wenbin; Fan, Jinlong; Zou, Jinqiu; Wu, Sijie; 2013. Assimilation of MODIS-LAI into the WOFOST model for forecasting regional winter wheat yield. Mathematical and Computer Modelling, 58634–643. 10.1016/j.mcm.2011.10.038 | · publishedVersion | 2013 | 143 |
| Wang, Jing; Li, Xin; Lu, Ling; Fang, Feng; 2013. Parameter sensitivity analysis of crop growth models based on the extended Fourier Amplitude Sensitivity Test method. Environmental Modelling & Software, 48171–182. 10.1016/j.envsoft.2013.06.007 | closed | 2013 | 186 |
| Tripathy, Rojalin; Chaudhari, Karshan N.; Mukherjee, Joydeep; Ray, Shibendu S.; Patel, N. K.; Panigrahy, Sushma; Parihar, Jai Singh; 2013. Forecasting wheat yield in Punjab state of India by combining crop simulation model WOFOST and remotely sensed inputs. Remote Sensing Letters, 419–28. 10.1080/2150704X.2012.683117 | closed | 2013 | 38 |
| Ma, Hongyuan; Huang, Jianxi; Zhu, Dehai; Liu, Junming; Su, Wei; Zhang, Chao; Fan, Jinlong; 2013. Estimating regional winter wheat yield by assimilation of time series of HJ-1 CCD NDVI into WOFOST–ACRM model with Ensemble Kalman Filter. Mathematical and Computer Modelling, 58759–770. 10.1016/j.mcm.2012.12.028 | closed | 2013 | 82 |
| Liu, Buchun; Mei, Xurong; Lv, Guohua; Yang, Youlu; Bai, Meilan; Wu, Yongfeng; Song, Jiqing; Bai, Wenbo; 2012. The maize evapotranspiration in the background of climate change: a case study in arid area. Hydrological Processes, 26633–639. 10.1002/hyp.8161 | closed | 2012 | 3 |
| Song, Yanling; Zhao, Yanxia; 2012. Effects of drought on winter wheat yield in north China during 2012–2100. Acta Meteorologica Sinica, 26516–528. 10.1007/s13351-012-0410-4 | closed | 2012 | 16 |
| Jia, Yangwen; 2011. Coupling crop growth and hydrologic models to predict crop yield with spatial analysis technologies. Journal of Applied Remote Sensing, 5053537. 10.1117/1.3609844 | closed | 2011 | 20 |
| Chaudhari, K.N.; Tripathy, R.; Patel, N.K.; 2010. Spatial wheat yield prediction using crop simulation model, GIS, remote sensing and ground observed data. Journal of Agrometeorology, 12174–180. 10.54386/jam.v12i2.1300 | cc-by · publishedVersion | 2010 | 1 |
| PogačAr, Tjaša; Kajfež-Bogataj, Lučka; 2009. WOFOST: model za napovedovanje pridelka - 2. del. Acta agriculturae Slovenica, 93. 10.14720/aas.2009.93.2.15048 | cc-by · publishedVersion | 2009 | 0 |
| Govindarajan, S.; Ambujam, N. K.; Karunakaran, K.; 2008. Estimation of paddy water productivity (WP) using hydrological model: an experimental study. Paddy and Water Environment, 6327–339. 10.1007/s10333-008-0131-0 | closed | 2008 | 28 |
| Pauwels, Valentijn R. N.; Verhoest, Niko E. C.; De Lannoy, Gabriëlle J. M.; Guissard, Vincent; Lucau, Cozmin; Defourny, Pierre; 2007. Optimization of a coupled hydrology-crop growth model through the assimilation of observed soil moisture and leaf area index values using an ensemble Kalman filter: ASSIMILATION OF LAI AND SOIL MOISTURE. Water Resources Research, 43. 10.1029/2006WR004942 | other-oa · submittedVersion | 2007 | 153 |
| de Wit, A.J.W.; van Diepen, C.A.; 2007. Crop model data assimilation with the Ensemble Kalman filter for improving regional crop yield forecasts. Agricultural and Forest Meteorology, 14638–56. 10.1016/j.agrformet.2007.05.004 | · acceptedVersion | 2007 | 315 |
| Nassiri, M.; Koocheki, A.; Kamali, G. A.; Shahandeh, H.; 2006. Potential impact of climate change on rainfed wheat production in Iran: (Potentieller Einfluss des Klimawandels auf die Weizenproduktion unter Rainfed-Bedingungen im Iran). Archives of Agronomy and Soil Science, 52113–124. 10.1080/03650340600560053 | closed | 2006 | 63 |
| Song, Yanling; Chen, Deliang; Dong, Wenjie; 2006. Influence of climate on winter wheat productivity in different climate regions of China, 1961–2000. Climate Research, 32219–227. 10.3354/cr032219 | · publishedVersion | 2006 | 27 |
| Yu-Ping, M. A.; Shi-Li, Wang; Li, Zhang; Ying-Yu, H. O. U.; 2005. A PRELIMINARY STUDY ON THE RE-INITIALIZATION/RE-PARAMETERIZATION OF A CROP MODEL BASED ON REMOTE SENSING DATA. Chinese Journal of Plant Ecology, 29918. 10.17521/cjpe.2005.0127 | closed | 2005 | 5 |
| Pohlert, Thorsten; 2004. Use of empirical global radiation models for maize growth simulation. Agricultural and Forest Meteorology, 12647–58. 10.1016/j.agrformet.2004.05.003 | closed | 2004 | 69 |
| de Wit, A.J.W.; Boogaard, H.L.; van Diepen, C.A.; 2004. Using NOAA–AVHRR estimates of land surface temperature for regional agrometeorogical modelling. International Journal of Applied Earth Observation and Geoinformation, 5187–204. 10.1016/j.jag.2004.03.003 | · acceptedVersion | 2004 | 19 |
| Wokabi, S. M.; 2003. Effectiveness of the Wofost Simulation Model to Predict Maize Yield Gaps on the Eastern Slopes of Mt Kenya. East African Agricultural and Forestry Journal, 69139–147. 10.4314/eaafj.v69i2.1815 | closed | 2003 | 1 |
| Foltescu, Valentin L; 2000. Prediction of crop yield in Sweden based on mesoscale meteorological analysis. Meteorological Applications, 7313–321. 10.1017/S1350482700001687 | closed | 2000 | 3 |
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Citations
| Nr. of publications: | 126 |
| Total citations: | 4957 |
| h-index: | 34 |
| m-quotient: | 0.83 |
Publications per year
