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Dynamic Mapping of Rice Growth Parameters Using HJ-1 CCD Time Series Data

Jing Wang, Jingfeng Huang, Ping Gao, Chuanwen Wei, Lamin Mansaray
<span title="2016-11-09">2016</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
This study demonstrated that continuous rice growth monitoring over time and space at field level can be implemented effectively with HJ-1 CCD 10-day composite data using a combination of proper VIs and  ...  For the application of dynamic mapping of rice growth parameters, leaf area index (LAI) and aboveground biomass (AGB) were considered as plant growth indicators.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs8110931">doi:10.3390/rs8110931</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jpr6cqqoqvdt7ayqsoiwyznk44">fatcat:jpr6cqqoqvdt7ayqsoiwyznk44</a> </span>
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Correction: Wang, J., et al. Dynamic Mapping of Rice Growth Parameters Using HJ-1 CCD Time Series Data. Remote Sens. 2016, 8, 931

Jing Wang, Jingfeng Huang, Ping Gao, Chuanwen Wei, Lamin Mansaray
<span title="2017-01-24">2017</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
Results of regression models at different single-cropped rice (SCR) growth stages.  ...  The authors wish to make the following corrections to their paper [1]. Due to miscalculating, please replace: Table 4.  ...  The authors wish to make the following corrections to their paper [1]. Due to miscalculating, please replace:  ... 
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An Object-Based Paddy Rice Classification Using Multi-Spectral Data and Crop Phenology in Assam, Northeast India

Mrinal Singha, Bingfang Wu, Miao Zhang
<span title="2016-06-07">2016</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
Phenology was extracted from MODIS NDVI time series, and the distribution of rice was mapped from China's Environmental Satellite (HJ-1A/B) data.  ...  Phenology was used to capture the seasonal dynamics of the crops, while multispectral data provided the spatial variation patterns.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
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Estimation of rice phenology date using integrated HJ-1 CCD and Landsat-8 OLI vegetation indices time-series images

Jing Wang, Jing-feng Huang, Xiu-zhen Wang, Meng-ting Jin, Zhen Zhou, Qiao-ying Guo, Zhe-wen Zhao, Wei-jiao Huang, Yao Zhang, Xiao-dong Song
<span title="">2015</span> <i title="Zhejiang University Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bkepz6pyyjc4ffgne2lo4fuegy" style="color: black;">Journal of Zhejiang University SCIENCE B</a> </i> &nbsp;
time-series data to extract the phenological parameters of single-cropped rice.  ...  In this study, we integrate the data of HJ-1 CCD and Landsat-8 operational land imager (OLI) by using the ordinary least-squares (OLS), and construct higher temporal resolution vegetation indices (VIs)  ...  Rice phenological parameters extracted by time-series VIs To evaluate the performance of time-series VIs produced by HJ-1 CCD and OLI sensors in rice phenological parameter extraction, we constructed two  ... 
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Rice Fields Mapping in Fragmented Area Using Multi-Temporal HJ-1A/B CCD Images

Jing Wang, Jingfeng Huang, Kangyu Zhang, Xinxing Li, Bao She, Chuanwen Wei, Jian Gao, Xiaodong Song
<span title="2015-03-24">2015</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
How remote sensing can meet this challenge to accurately estimate the acreage of the rice in this region using medium-resolution imagery is the topic of this study.  ...  This work demonstrates OPEN ACCESS Remote Sens. 2015, 7 3468 that the Chinese HJ-1A/B data are suitable data source to estimating SCR cropping area under complex land cover composition.  ...  Jingfeng Huang supervised the process of field campaign and data analysis. Kangyu Zhang provided partial source codes for image analysis. Xinxing Li was responsible for image data collection.  ... 
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Extraction of Rice Phenological Differences under Heavy Metal Stress Using EVI Time-Series from HJ-1A/B Data

<span title="2017-05-30">2017</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
This study focused on identifying the rice phenological differences under varied heavy metal stress using EVI (enhanced vegetation index) time-series, which was obtained from HJ-1A/B CCD images and fitted  ...  Previous studies on phenology have been mainly based on time-series analysis of remote sensing data to provide important information for detecting crop phenological periods [25] [26] [27] .  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
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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
<span title="2018-02-23">2018</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fw2uac7a5jggbfgqwh2wqy7yxu" style="color: black;">ISPRS International Journal of Geo-Information</a> </i> &nbsp;
The rice yield simulated using the AquaCrop model and assimilated with the results of HJ-1A/B, produced a satisfactory outcome when implemented into the validated rice plots, with RMSE = 0.18 t ha −1 and  ...  In addition, the optimal rice constant value for conversion of CC was investigated. HJ-1A/B satellite images were used to calculate the CC value, which was then used to simulate yield.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
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Estimating Rice Yield by HJ-1A Satellite Images

Wei-guo LI, Hua LI, Li-hua ZHAO
<span title="">2011</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/te5tk3kwrbd7zcghcpqv42vmmu" style="color: black;">Rice Science</a> </i> &nbsp;
Further, the thematic map of rice production classification was made based on the rice yield data.  ...  The GPS data and the interpretation marks were used to correct HJ-1 image, assist human-computer interactive interpretation, and other operations.  ...  Moreover, HJ-1 satellite, after combining A star with B star, can revisit the same place in two days and much better satisfied the time precision for rice long-term dynamic monitoring.  ... 
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Evaluating Heavy Metal Stress Levels in Rice Based on Remote Sensing Phenology

Tianjiao Liu, Xiangnan Liu, Meiling Liu, Ling Wu
<span title="2018-03-14">2018</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
In this study, we used an integrated Normalized Difference Vegetation Index (NDVI) time-series image set to extract remote sensing phenology.  ...  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.  ...  Eklundh and Jonsson suggested that the S-G filter is preferable when time series data is used to derive seasonality parameters [51] .  ... 
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Finding the Key Periods for Assimilating HJ-1A/B CCD Data and the WOFOST Model to Evaluate Heavy Metal Stress in Rice

Shuang Zhao, Xu Qian, Xiangnan Liu, Zhao Xu
<span title="2018-04-17">2018</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
obtain dynamic WRT values, an optimized method that can assimilate remotely sensed data into improved crop growth models has been used [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] .  ...  However, in previous studies, the key period used to assimilate remotely sensed data was not considered in the improved crop growth models [24] [25] [26] .  ...  Acknowledgments: This research was financially supported by the National Natural Science Foundation of China (No. 41371407).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s18041230">doi:10.3390/s18041230</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29673178">pmid:29673178</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5948729/">pmcid:PMC5948729</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7vjuwsuzyjdpdjnno7p4q2uaz4">fatcat:7vjuwsuzyjdpdjnno7p4q2uaz4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180724212942/https://res.mdpi.com/def50200ffdf3893af38a85665a0d5b34f784d080bcf56ba04a32f50e857078f84c0deedd6d3cb753eaf0aa9f9184307cc1dbf96856be614819a1b904136a050fd33561bb8ef707d5015682c6d6c6d8b97c249e320f19c7ec284515829705bd2ab5b010878af309d51b90e686f88f600b02dd0e6f6cc59679a3acd13c2f863bbbb85c04d2a6eeb0089d92c6831ea9b02?filename=&amp;attachment=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/41/63/41637893a92ea3a2026bbec0ad4a43b322672450.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s18041230"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948729" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

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
<span title="2019-10-28">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
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.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs11212517">doi:10.3390/rs11212517</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2mt36rbq5fhzpj6uq7pkogap54">fatcat:2mt36rbq5fhzpj6uq7pkogap54</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200211051001/https://res.mdpi.com/d_attachment/remotesensing/remotesensing-11-02517/article_deploy/remotesensing-11-02517.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9f/ae/9fae075958d0b7d977054acdbba77c6eb98f3f06.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs11212517"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Changes in rice cropping systems in the Poyang Lake Region, China during 2004–2010

Peng Li, Zhiming Feng, Luguang Jiang, Yujie Liu, Xiangming Xiao
<span title="2012-06-08">2012</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gg4i5n6ffnbb7jsuzsmjpf3f2i" style="color: black;">Journal of Geographical Sciences</a> </i> &nbsp;
The results revealed that: (1) from 2004 to 2010, the decrement of paddy rice field was 46.76 km 2 due to the land use change. (2) The temporal dynamics of NDVI derived from Landsat historical images could  ...  In this study, based upon the long-term field survey information on paddy rice fields, we proposed a method to discriminate the rice cropping systems with Landsat data and quantified the spatial variations  ...  The time-series MODIS vegetation index data holds great potential for describing the growth dynamics of rice fields over large area with relative simple cropping systems.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11442-012-0954-x">doi:10.1007/s11442-012-0954-x</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/v4sidkdm3vaczckmzmi6sofdxa">fatcat:v4sidkdm3vaczckmzmi6sofdxa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150915200603/http://www.eomf.ou.edu/media/docs/upload/Rice_Poyang_LiPeng2012.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/67/e9/67e9713d6f46ecaea712e95ab027175b7423689a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11442-012-0954-x"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Automated cropping intensity extraction from isolines of wavelet spectra

Bingwen Qiu, Zhuangzhuang Wang, Zhenghong Tang, Chongcheng Chen, Zhanling Fan, Weijiao Li
<span title="">2016</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bitt7mr5gbbnxb3hc7d4rccdzy" style="color: black;">Computers and Electronics in Agriculture</a> </i> &nbsp;
The mapping result is also evaluated with 30 m Chinese Environmental Disaster Reduction Satellite (HJ-1)-derived data and an overall accuracy of 86.7% is obtained.  ...  Abstract Timely and accurate monitoring of cropping intensity (CI) is essential to help us understand changes in food production.  ...  Acknowledgments - The authors would like to thank NASA LP DAAC for making MODIS data publicly available online.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.compag.2016.04.015">doi:10.1016/j.compag.2016.04.015</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eb2dkytmhveubdphidtsg7boou">fatcat:eb2dkytmhveubdphidtsg7boou</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190430021225/https://digitalcommons.unl.edu/cgi/viewcontent.cgi?referer=&amp;httpsredir=1&amp;article=1017&amp;context=arch_crp_facultyschol" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/42/94/42943f2f4f54528d8167bb92991be7345e61d9a6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.compag.2016.04.015"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Mapping Paddy Rice with Satellite Remote Sensing: A Review

Rongkun Zhao, Yuechen Li, Mingguo Ma
<span title="2021-01-07">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/oglosmy3gbhuzobyjit4qalakq" style="color: black;">Sustainability</a> </i> &nbsp;
We found that the optical remote sensing data sources are mainly MODIS, Landsat, and Sentinel-2, and the emergence of Sentinel-1 data has promoted research on radar mapping methods for paddy rice.  ...  Multisource data integration further enhances the accuracy of paddy rice mapping.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/su13020503">doi:10.3390/su13020503</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bpjcnezpbjdbzmwda4lxhok6ce">fatcat:bpjcnezpbjdbzmwda4lxhok6ce</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210225160557/https://res.mdpi.com/d_attachment/sustainability/sustainability-13-00503/article_deploy/sustainability-13-00503.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/99/04/9904e5624e1ed01bc9a3f7ba64b3b67dccc7c018.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/su13020503"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Monitoring Land-Use/Land-Cover Changes at a Provincial Large Scale Using an Object-Oriented Technique and Medium-Resolution Remote-Sensing Images

Kaisheng Luo, Bingjuan Li, Juana Moiwo
<span title="2018-12-12">2018</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
Therefore, this study used OBIA techniques and medium-resolution Chinese HJ-CCD images to monitor LUCC at the provincial scale.  ...  This conversion was attributed to accelerated urbanization and rapid economic growth in this region.  ...  Acknowledgments: We would like to thank the China Resources Satellite Application Center for providing some of the data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs10122012">doi:10.3390/rs10122012</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/t5rmaxvmafaljnhfmjkz35nnau">fatcat:t5rmaxvmafaljnhfmjkz35nnau</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190503183743/https://res.mdpi.com/remotesensing/remotesensing-10-02012/article_deploy/remotesensing-10-02012.pdf?filename=&amp;attachment=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ce/3d/ce3d769f134f925f8c2b80865b66a8e618fd1ae1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs10122012"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>
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