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Using SPOT data and leaf area index for rice yield estimation in Egyptian Nile delta

M. Aboelghar, S. Arafat, M. Abo Yousef, M. El-Shirbeny, S. Naeem, A. Massoud, N. Saleh
2011 Egyptian Journal of Remote Sensing and Space Sciences  
The methodology is based on regressing measured yield with satellite derived spectral information or leaf area index (LAI).  ...  The objective of the current work is to generate statistical empirical rice yield estimation models under the local conditions of the Egyptian Nile delta.  ...  Based on our observations, we considered canopy cover of the rice crop in the field as high dense during the satellite images acquisition time in 2008 and 2009.  ... 
doi:10.1016/j.ejrs.2011.09.002 fatcat:bcqykel5v5ewnoahrkpiky6g3e

Mapping Indonesian paddy fields using multiple-temporal satellite imagery

Nono Lee,
2012 African Journal of Agricultural Research  
Various methods used in estimating rice areas can provide information periodically through different information satellite data, which have a wide coverage area, and can be used as a source of information  ...  Good linear relationships between the model results and the national statistics were observed for all types of rice fields.  ...  ACKNOWLEDGEMENTS The authors would like to thank Group Dangdut and the MODIS imagery for providing good results.  ... 
doi:10.5897/ajar12.148 fatcat:45xregcgwbcu5iwo52vahpssiq

Assessment of Wheat Straw Cover and Yield Performance in a Rice-Wheat Cropping System by Using Landsat Satellite Data

Muhammad Sohail Memon, Zhou Jun, Chuanliang Sun, Chunxia Jiang, Weiyue Xu, Qiong Hu, Hangxu Yang, Changying Ji
2019 Sustainability  
Also, it can be strongly concluded that multispectral Landsat satellite imagery is capable of measuring the WSC percentage and successively determines the impact of different WSC percentages on rice crop  ...  The novel approach proposed in this study demonstrates that the Landsat satellite data and seven RS-based indices, e.g., (i) normalized difference vegetation index (NDVI), (ii) Normalized difference senescent  ...  Acknowledgments: We would like to thank farmers who cooperate in field survey and supplied us the productive data of wheat and rice crop.  ... 
doi:10.3390/su11195369 fatcat:b65672buivdi7owr3ygm6prq2u

Application of Remote Sensors in Mapping Rice Area and Forecasting Its Production: A Review

Mostafa Mosleh, Quazi Hassan, Ehsan Chowdhury
2015 Sensors  
stages of the rice crop.  ...  The aim of this paper was to review the applicability of the remote sensing-based imagery for rice area mapping and forecasting its production.  ...  Acknowledgments We would like to thank National Sciences and Engineering Research Council (NSERC) of Canada for providing a Discovery Grant to Quazi K. Hassan.  ... 
doi:10.3390/s150100769 pmid:25569753 pmcid:PMC4327048 fatcat:rhmurr7qpjgehcldzqt7kj3kmu

Estimation of Crop Yield from Combined Optical and SAR Imagery Using Gaussian Kernel Regression

Yeshanbele Alebele, Wenhui Wang, Weiguo Yu, Xue Zhang, Xia Yao, Y.C. Tian, Yan Zhu, Weixing Cao, Tao Cheng
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
This study proposed Gaussian kernel regression for rice yield estimation from optical and SAR imagery using a limited amount of ground truth data.  ...  The main objective was to investigate the synergetic use of Sentinel-2 vegetation indices and Sentinel-1 interferometric coherence data through Gaussian kernel regression for estimating rice grain yield  ...  Most recent studies also focused on the combined exploitation of optical and SAR imagery data for improved yield estimation.  ... 
doi:10.1109/jstars.2021.3118707 fatcat:bozajxgmhjeltokypq4fepgr4e

Crop Yield Prediction Techniques using Remote Sensing Data

2020 International Journal of Engineering and Advanced Technology  
The paper present a literature survey of various stastical method, empirical models,artificial neural network and machine learning regression techniques which are used with the data provided by the satellites  ...  Crop yield prediction is an art of forecasting the yield of crop before harvesting.  ...  The leaf chlorophyll content estimated from the satellite was converted from normalized difference vegetation index (NDVI) to soil plant analysis development (SPAD) value. 4.24.A model named Weather-based  ... 
doi:10.35940/ijeat.c6217.029320 fatcat:omohesb5p5aido2rxp4c3chicm

Application of Satellite Remote Sensing Technology to Monitor Rice Planting Area in Fujian Province

Chuigui Zhang, Zhiguo Ma
2018 DEStech Transactions on Engineering and Technology Research  
This study will focus on the specific physiological characteristics of rice at different stages of growth and development, the environmental background features and the spectral features it exhibits at  ...  Comprehensive evaluation of matching effects is be done using MODIS multi-temporal satellite data to extract rice planting area information and spatial location. 1  ...  ACKNOWLEDGEMENTS Fujian Provincial Natural Science Fund Project (2011J01264); Fujian Provincial Science and Technology Plan Key Project (2011Y0009); National Natural Science Fund Project (41071267).  ... 
doi:10.12783/dtetr/icace2018/25510 fatcat:q6b5rllicfetdm2dca54riegqu

Assessment of Rice Panicle Blast Disease Using Airborne Hyperspectral Imagery

Takashi Kobayashi, Masashi Sasahara, Eiji Kanda, Kiyoshi Ishiguro, Shu Hase, Yoichi Torigoe
2016 Open Agriculture Journal  
Hyperspectral remote sensing imagery was acquired at the dough stage of rice grain development in northern Japan.  ...  Assessment of disease distribution and severity could provide useful information for making decisions regarding the necessity of fungicide application and estimate potential yield loss due to the disease  ...  Fujisawa, and S. Kikuchi of the Tohoku Assessment of Rice Panicle Blast Disease The Open Agriculture Journal, 2016, Volume 10 33  ... 
doi:10.2174/1874331501610010028 fatcat:a7z6tlpxbfggzdyrtfbbhacb4e

Rice-Yield Prediction with Multi-Temporal Sentinel-2 Data and 3D CNN: A Case Study in Nepal

Ruben Fernandez-Beltran, Tina Baidar, Jian Kang, Filiberto Pla
2021 Remote Sensing  
and CNN-based yield estimation methods.  ...  In this context, we introduce the use of Sentinel-2 (S2) imagery, with a medium spatial, spectral and temporal resolutions, to estimate rice crop yields in Nepal as a case study.  ...  Data Availability Statement: The codes related to this work will be released for reproducible research at https://github.com/rufernan/RicePAL (accessed on 3 April 2021).  ... 
doi:10.3390/rs13071391 fatcat:b5ph74laf5gfpi33dc7fpzh6le

Topdressing Nitrogen Demand Prediction in Rice Crop Using Machine Learning Systems

Miltiadis Iatrou, Christos Karydas, George Iatrou, Ioannis Pitsiorlas, Vassilis Aschonitis, Iason Raptis, Stelios Mpetas, Kostas Kravvas, Spiros Mourelatos
2021 Agriculture  
A multi-source, multi-temporal, and multi-scale dataset was collected, including optical and radar imagery, soil data, and yield maps by monitoring a 110 ha pilot rice farm in Thessaloniki Plain, Greece  ...  with Computer Vision to detect inundated fields and (through this) indicate the exact growth stage of the crop; and Sentinel-2 image data were used to map leaf nitrogen concentration (LNC) exactly before  ...  Finally, many thanks to the personnel of the Soil &  ... 
doi:10.3390/agriculture11040312 fatcat:rqnt27rz5feexkuwyjcnwywwbq

Forecasting Transplanted Rice Yield at the Farm Scale Using Moderate-Resolution Satellite Imagery and the AquaCrop Model: A Case Study of a Rice Seed Production Community in Thailand

Kulapramote Prathumchai, Masahiko Nagai, Nitin Tripathi, Nophea Sasaki
2018 ISPRS International Journal of Geo-Information  
Traditionally, crop monitoring and yield estimation are based on ground surveys and reports but this approach is expensive and time-consuming [11] [12] [13] .  ...  rice fields (farmer-based) into one large (community-based) field.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi7020073 fatcat:pmgrhcqjxvgdvcn6wsgvwgjxwq

Estimation of Rice Aboveground Biomass by Combining Canopy Spectral Reflectance and Unmanned Aerial Vehicle-Based Red Green Blue Imagery Data

Zhonglin Wang, Yangming Ma, Ping Chen, Yonggang Yang, Hao Fu, Feng Yang, Muhammad Ali Raza, Changchun Guo, Chuanhai Shu, Yongjian Sun, Zhiyuan Yang, Zongkui Chen (+1 others)
2022 Frontiers in Plant Science  
Estimating the aboveground biomass (AGB) of rice using remotely sensed data is critical for reflecting growth status, predicting grain yield, and indicating carbon stocks in agroecosystems.  ...  This study aimed to evaluate the performance of the combined spectral and texture parameters and improve rice AGB estimation.  ...  The estimation accuracy of crop biomass is gradually considered based on the influence of crop growth differences.  ... 
doi:10.3389/fpls.2022.903643 pmid:35712565 pmcid:PMC9197132 fatcat:nrgb42h7nbbr7ltl6gnqqatxxe

Yield Estimation of Paddy Rice Based on Satellite Imagery: Comparison of Global and Local Regression Models

Yi-Shiang Shiu, Yung-Chung Chuang
2019 Remote Sensing  
Rice yield estimation based on satellite imagery is usually performed with global regression models; however, estimation errors may occur because the spatial variation is not considered.  ...  Therefore, this study proposed an approach estimating paddy rice yield based on global and local regression models.  ...  Acknowledgments: We would like to thank Ren-De Chiu and Yen-Ching Chang's support on image preprocessing and Python coding. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs11020111 fatcat:ohzbwkczx5frxc4wxnzn5e4d4i

Assessing Correlation of High-Resolution NDVI with Fertilizer Application Level and Yield of Rice and Wheat Crops using Small UAVs

Senlin Guan, Koichiro Fukami, Hitoshi Matsunaka, Midori Okami, Ryo Tanaka, Hiroshi Nakano, Tetsufumi Sakai, Keiko Nakano, Hideki Ohdan, Kimiyasu Takahashi
2019 Remote Sensing  
The color NDVI distribution maps of wide rice fields identified differences in stages of ripening and lodging-injury areas, which accorded with practical crop growth status from aboveground observation  ...  Subsequently, these results were used to assess their correlations with fertilizer application levels and the yields of rice and wheat crops.  ...  We also acknowledge machinery specialists Yasutaka Kawaguchi, Makoto Nakajima, and Keiji Miike for their assistance in data acquisition for both the field experiment and UAV photogrammetry, and the growers  ... 
doi:10.3390/rs11020112 fatcat:qoen3ocegncd3jsiqksfbyagle

Measuring Rice Yield from Space: The Case of Thai Binh Province, Viet Nam

Kaiyu Guan, Ngo The Hien, Zhan Li, Lakshman Nagraj Rao
2018 Social Science Research Network  
Even when a satellite data-based algorithm of yield estimation reaches the mature stage, periodic and strategic sampling is necessary for validation.  ...  Source: Authors' estimates. Figure 8 : 8 Spatially Explicit Yield Map Based on Normalized Difference Vegetation Index Source: Authors' estimates.  ...  Measuring Rice Yield from Space: The Case of Thai Binh Province, Viet Nam Traditional methods for estimating rice yield rely on field data, which are time-consuming and expensive to collect.  ... 
doi:10.2139/ssrn.3188560 fatcat:dr5lryfvmfaj7jmu7i5bsre7my
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