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INTEGRATING TIME-SERIES SAR DATA AND ORYZA CROP GROWTH MODEL IN RICE AREA MAPPING AND YIELD ESTIMATION FOR CROP INSURANCES
2019
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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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
2018
Agricultural Systems
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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
2019
Remote Sensing
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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
2022
International Journal of Environment and Climate Change
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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
2018
Remote Sensing
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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
2019
Remote Sensing
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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
UP-SCALING PADDY YIELD AT SATELLITE-FOOTPRINT SCALE USING SATELLITE DATA IN CONJUNCTION WITH CCE DATA IN SAHIBGANJ DISTRICT, JHARKHAND
2019
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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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
2014
TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES AEROSPACE TECHNOLOGY JAPAN
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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
2018
Journal of Imaging
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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
2011
International Journal of Remote Sensing
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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
2017
Remote Sensing
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of the RIICE (Remote sensing-based Information and Insurance for Crops in Emerging economies) project (http://www.riice.org/) 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
2018
Scientific Reports
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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
2020
Agronomy
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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
2018
Remote Sensing
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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
2018
Sensors
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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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