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S. Pazhanivelan, K. P. Ragunath, N. S. Sudarmanian, R. Kumaraperumal, T. Setiyono, E. D. Quicho
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Using ORYZA2000, a weather driven process based crop growth simulation model developed by IRRI, yield estimates were made by integrating remote sensing products viz., seasonal rice area, start of season  ...  The model has generated rice yield estimate for each hectare which were aggregated at administrative boundary level and compared against CCE yield.  ...  Start of the Season The time series of images used to estimate, the start date of the growing season for each pixel. This is a critical input to the crop model that estimates yield.  ... 
doi:10.5194/isprs-archives-xlii-3-w6-239-2019 fatcat:bpnyabn7vfevvpifck2pnavvhm

A high-resolution, integrated system for rice yield forecasting at district level

Valentina Pagani, Tommaso Guarneri, Lorenzo Busetto, Luigi Ranghetti, Mirco Boschetti, Ermes Movedi, Manuel Campos-Taberner, Francisco Javier Garcia-Haro, Dimitrios Katsantonis, Dimitris Stavrakoudis, Elisabetta Ricciardelli, Filomena Romano (+5 others)
2018 Agricultural Systems  
RS was used to identify rice-cropped 28 area and to derive spatially distributed sowing dates, as well as for the dynamic assimilation of RS-29 derived leaf area index (LAI) data within the crop model.  ...  25 To meet the growing demand from public and private stakeholders for early yield estimates, a high-26 resolution (2 km × 2 km) rice yield forecasting system based on the integration between the WARM  ...  ., 2017. 506 PhenoRice: A method for automatic extraction of spatio-temporal information on rice crops 507 using satellite data time series. Remote Sens. Environ. 194, 347-365.  ... 
doi:10.1016/j.agsy.2018.05.007 fatcat:4sn5llmlvjejvdg24apd3hbecu

Assimilating Remote Sensing Phenological Information into the WOFOST Model for Rice Growth Simulation

Gaoxiang Zhou, Xiangnan Liu, Ming Liu
2019 Remote Sensing  
In this study, we assimilated phenological information obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) time series data into the World Food Study (WOFOST) model to improve the accuracy  ...  Although assimilation of crop model and remote sensing data has been applied in crop growth simulation, few studies have considered optimizing the crop model with respect to phenology.  ...  Acknowledgments: The remote sensing data from USGS is appreciated. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs11030268 fatcat:clzll6cgpzdqtiizs74ajerzhm

Area Assessment for Rice Crop in Thiruvarur District Assimilating Sentinel 1A Satellite Data

S. Satheesh, S. Pazhanivelan, R. Kumaraperumal, S. Radhamani, K. P. Ragunath, N. S. Sudarmanian
2022 International Journal of Environment and Climate Change  
This study proposes an effective method to map rice area using the Sentinel-1A SAR (Synthetic Aperture Radar) time series data over the Thiruvarur district during samba 2021.  ...  The rice-growing area was estimated based on the extracted multi-temporal features and statistics were derived at district and block level in Thiruvarur district.  ...  ACKNOWLEDGEMENT The authors are thankful to the Department of Remote Sensing and GIS for providing the fund through the in Indo German GIZ -ICRI Project Innovative Climate Risk Insurance scheme to carry  ... 
doi:10.9734/ijecc/2022/v12i1030924 fatcat:spihyrpbwjffxlspsl5kube47q

Spatial Rice Yield Estimation Based on MODIS and Sentinel-1 SAR Data and ORYZA Crop Growth Model

Tri Setiyono, Emma Quicho, Luca Gatti, Manuel Campos-Taberner, Lorenzo Busetto, Francesco Collivignarelli, Francisco García-Haro, Mirco Boschetti, Nasreen Khan, Francesco Holecz
2018 Remote Sensing  
The information from remote-sensing technology was also useful for identifying geographic locations with peculiarity in the timing of rice establishment, leaf growth, and yield level, and thus contributing  ...  crop growth model facilitated by the Rice Yield Estimation System (Rice-YES).  ...  Acknowledgments: Funding for this research was provided by the Swiss Agency for Development and Cooperation (SDC) under the Remote Sensing-based Information and Insurance for Crops in Emerging Economies  ... 
doi:10.3390/rs10020293 fatcat:ctwq67r2m5eqjiay3aqnnxnyze

Spatially and Temporally Continuous Leaf Area Index Mapping for Crops through Assimilation of Multi-resolution Satellite Data

Huaan Jin, Weixing Xu, Ainong Li, Xinyao Xie, Zhengjian Zhang, Haoming Xia
2019 Remote Sensing  
Therefore, it becomes crucial for fine resolution LAI mapping in time series over crop areas. A two-stage data assimilation scheme was developed for dense time series LAI mapping in this study.  ...  Then, the LAI dynamics at the 500 m scale were incorporated as prior information into the Landsat 8 OLI reflectance data for time series LAI mapping at the 30 m resolution.  ...  Acknowledgments: We are grateful to the anonymous reviewers for their valuable comments and suggestions. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs11212517 fatcat:2mt36rbq5fhzpj6uq7pkogap54


B. R. Parida, A. K. Ranjan
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
This study has utilized the time-series MODIS-based Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) data in conjunction with CCE data to derive a statistical model for  ...  The AquaCrop model was also used to simulate the paddy yield for Kharif season.  ...  Authors thanks to USGS to provide satellite data in free of cost.  ... 
doi:10.5194/isprs-archives-xlii-3-w6-235-2019 fatcat:yhzskrzxo5a5jd2eqbrjh5snce

Water and Food Security under Climate Change in Cambodia

So Im MONICHOTH, Kumiko TSUJIMOTO, Kentaro AIDA, Katsunori TAMAGAWA, Tetsu OHTA, Toshio KOIKE, Tomoyuki NUKUI, Shin'ichi SOBUE, Koki HOMMA
Next, future precipitation data were input to the coupled model of hydrology and crop science.  ...  For past simulation, we derived soil moisture from Advanced Land Observing Satellite (ALOS) / Phased Array type L-band Synthetic Aperture Radar (PALSAR).  ...  Initial condition of Hydro-Crop model from satellites Soil moisture for initial conditions of Hydro-Crop was estimated by ALOS/PALSAR (Section 4.2.2).  ... 
doi:10.2322/tastj.12.tn_31 fatcat:x7473ryxerbcdaigvimmmidayu

Contribution of Remote Sensing on Crop Models: A Review

Dimitrios Kasampalis, Thomas Alexandridis, Chetan Deva, Andrew Challinor, Dimitrios Moshou, Georgios Zalidis
2018 Journal of Imaging  
Remote sensing can provide the missing spatial information required by crop models for improved yield prediction.  ...  This paper reviews the most recent information about remote sensing data and their contribution to crop growth models.  ...  Acknowledgments: This work was supported by the European Union's Horizon 2020 research and innovation programme under grant agreement No. 774652 "AfriCultuReS-Enhancing Food Security in African Agricultural  ... 
doi:10.3390/jimaging4040052 fatcat:vmoyde2kdjdqteenowui4dnv2u

Soil hydraulic parameters estimated from satellite information through data assimilation

Sujittra Charoenhirunyingyos, Kiyoshi Honda, Daroonwan Kamthonkiat, Amor V. M. Ines
2011 International Journal of Remote Sensing  
Results showed that the soil hydraulic parameters derived from LAI alone yielded good estimations of soil moisture at 3 cm depth; LAI and ET a in combination at 12 cm depth, and ET a alone at 28 cm depth  ...  The simulated soil moisture estimates derived from soil hydraulic parameters were validated using values obtained from soil moisture sensors installed in the field.  ...  Special thanks also go to all local collaborators, especially the officers of the Agricultural Office and Thai Meteorological Department for their valuable information and suggestions.  ... 
doi:10.1080/01431161.2010.532170 fatcat:wp5hp2jobza4ppsac4tgx6piyi

Exploitation of SAR and Optical Sentinel Data to Detect Rice Crop and Estimate Seasonal Dynamics of Leaf Area Index

Manuel Campos-Taberner, Francisco García-Haro, Gustau Camps-Valls, Gonçal Grau-Muedra, Francesco Nutini, Lorenzo Busetto, Dimitrios Katsantonis, Dimitris Stavrakoudis, Chara Minakou, Luca Gatti, Massimo Barbieri, Francesco Holecz (+2 others)
2017 Remote Sensing  
of the RIICE (Remote sensing-based Information and Insurance for Crops in Emerging economies) project ( where rice yield is estimated from the Oryza2000 model by assimilating LAI  ...  This paper presents and evaluates multitemporal LAI estimates derived from Sentinel-2A data on rice cultivated area identified using time series of Sentinel-1A images over the main European rice districts  ...  a prototype of Copernicus down-stream services assimilating EO and in situ data on crop modeling dedicated to the rice sector.  ... 
doi:10.3390/rs9030248 fatcat:2v6g3wfey5dhveeuuc7wv67dxy

Monitoring paddy productivity in North Korea employing geostationary satellite images integrated with GRAMI-rice model

Jong-min Yeom, Seungtaek Jeong, Gwanyong Jeong, Chi Tim Ng, Ravinesh C. Deo, Jonghan Ko
2018 Scientific Reports  
We advocate that incorporating a crop model with satellite images for crop yield simulations can be utilised as a reliable estimation technique for the monitoring of crop productivity, particularly in  ...  of data from 2011 to 2014.  ...  Acknowledgements We thank the Korea Institute of Ocean Science and Technology (KIOST) for providing the GOCI data.  ... 
doi:10.1038/s41598-018-34550-0 fatcat:7cd2mve6ojf4zbwzyreqtuwuna

RiceSAP: An Efficient Satellite-Based AquaCrop Platform for Rice Crop Monitoring and Yield Prediction on a Farm- to Regional-Scale

Watcharee Veerakachen, Mongkol Raksapatcharawong
2020 Agronomy  
This work proposes RiceSAP, a satellite-based AquaCrop processing system for rice whose climatic input is derived from TERRA/MODIS-LST and FY-2/IR-rainfall products to provide crop monitoring and yield  ...  A developed mobile app provides an intuitive interface for collecting farm-scale inputs and providing timely feedbacks to farmers to make informed decisions.  ...  Acknowledgments: The authors acknowledge CSRS staff for their efforts in field data collection and RiceSAP platform development. This work could not have been successful without their support.  ... 
doi:10.3390/agronomy10060858 fatcat:4tsytld36jekvc65lynojvvjq4

Nationwide Projection of Rice Yield Using a Crop Model Integrated with Geostationary Satellite Imagery: A Case Study in South Korea

Seungtaek Jeong, Jonghan Ko, Jong-Min Yeom
2018 Remote Sensing  
The crop model was calibrated using observed yield data in 11 counties and was applied to 62 counties in South Korea.  ...  with spectral bands suitable for monitoring crop yield in the national scale with a spatial resolution of 500 m.  ...  In this study, the GRAMI-rice model and GOCI satellite products that can steadily obtain crop spectral information are used to simulate rice yield and production in South Korea.  ... 
doi:10.3390/rs10101665 fatcat:5etlnbjuqzeirftj7c4yynaglq

Evaluating Heavy Metal Stress Levels in Rice Based on Remote Sensing Phenology

Tianjiao Liu, Xiangnan Liu, Meiling Liu, Ling Wu
2018 Sensors  
This finding provides scientific evidence for combining rice phenology and physiological characteristics in time and space, and the method is useful to monitor heavy metal stress in rice.  ...  In this study, we used an integrated Normalized Difference Vegetation Index (NDVI) time-series image set to extract remote sensing phenology.  ...  In addition, the phenological information and physiological characteristics attained in this study, has reference meaning for crop yield estimation and field management under heavy metal stress.  ... 
doi:10.3390/s18030860 pmid:29538350 pmcid:PMC5877332 fatcat:6l7g2xgrfbcptchvhjkcfxv7cu
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