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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
<span title="2018-02-14">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;
The developed system combines MODIS and SAR-based remote-sensing data to generate spatially explicit inputs for rice using a crop growth model.  ...  Results from this study indicate that the approach of assimilating MODIS and SAR data into a crop growth model can generate well-adjusted yield estimates that adequately describe spatial yield distribution  ...  SAR data were provided by the European Space Agency (ESA) from Sentinel-1A satellite.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs10020293">doi:10.3390/rs10020293</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ctwq67r2m5eqjiay3aqnnxnyze">fatcat:ctwq67r2m5eqjiay3aqnnxnyze</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190226084650/http://pdfs.semanticscholar.org/6ef1/58f85dd985c0189917b3cbd67fa247eb0780.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/6e/f1/6ef158f85dd985c0189917b3cbd67fa247eb0780.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs10020293"> <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>

Table of contents

<span title="">2019</span> <i title="IEEE"> 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics) </i> &nbsp;
using Sentinel-1 SAR and Oryza Crop Growth Simulation Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  quantitative impacts of drought and flood on crop yields and production in China . . . 204 Yiting Liu and Wenjiao Shi Assessing Effects of Cotton-Rice Rotation on Rice Yield Using Different Remote  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/agro-geoinformatics.2019.8820215">doi:10.1109/agro-geoinformatics.2019.8820215</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ig2p7lly3vb6hpe5y5o663wosa">fatcat:ig2p7lly3vb6hpe5y5o663wosa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201108044253/https://ieeexplore.ieee.org/ielx7/8811423/8820208/08820215.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/7a/74/7a745ec523985716f2c49dcd8eaf25c35c596e1f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/agro-geoinformatics.2019.8820215"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

SPATIALISATION OF RICE GROWTH AND YIELD MODEL USING OPTICAL AND SAR DERIVED BIOPHYSICAL PARAMETERS

A. Biswal, P. Srikanth, C. S. Murthy, P. V. N. Rao
<span title="2019-07-26">2019</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/i74shj7anreaxjo327fokng66m" style="color: black;">The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</a> </i> &nbsp;
In the present study an attempt is made to simulate pixel wise rice crop growth, condition and yield using Sentinel1 SAR, AWiFS/Landsat8 OLI and MODIS data with CERES rice growth simulation model on DSSAT  ...  Basically the crop growth simulation models are point based which simulate crop growth and yield as a function of soil, weather and crop management factors at a daily time scale.  ...  Therefore, many different studies have attempted to estimate crop yield in combination of process based crop growth simulation model and satellite data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprs-archives-xlii-3-w6-181-2019">doi:10.5194/isprs-archives-xlii-3-w6-181-2019</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/omeec44jnvbhhf4q4ciuvptxxm">fatcat:omeec44jnvbhhf4q4ciuvptxxm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200207235733/https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W6/181/2019/isprs-archives-XLII-3-W6-181-2019.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/a2/ae/a2ae08272ee2d326f8562c0f056a6949c24fdddb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprs-archives-xlii-3-w6-181-2019"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

ASSESSMENT OF RICE BIOMASS PRODUCTION AND YIELD USING SEMI-PHYSICAL APPROACH AND REMOTELY SENSED DATA

M. Dwivedi, S. Saxena, S. S. Ray, Neetu
<span title="2019-07-26">2019</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/i74shj7anreaxjo327fokng66m" style="color: black;">The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</a> </i> &nbsp;
Although model gives slight difference of yield with respect to actual and the estimated yield and DES yields within the range of &amp;plusmn;&amp;thinsp;10%, which confirms the utility of model and can  ...  be used for the operational estimates of rice crop.  ...  We acknowledge SAC: MOSDAC for the daily insolation data, NASA (lpdaac.usgs.gov) for MODIS reflectance and FAPAR data and IMD for weather data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprs-archives-xlii-3-w6-217-2019">doi:10.5194/isprs-archives-xlii-3-w6-217-2019</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pyqvw234rjbwjlm57ogfaox62q">fatcat:pyqvw234rjbwjlm57ogfaox62q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200213143631/https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W6/217/2019/isprs-archives-XLII-3-W6-217-2019.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/b3/90/b39025462cc60f763f3c68211404ffaf00d33e59.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprs-archives-xlii-3-w6-217-2019"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

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)
<span title="">2018</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/r3xcuv6v75dl7dxbvok7sn3nnq" style="color: black;">Agricultural Systems</a> </i> &nbsp;
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  ...  Exploitation of SAR and optical sentinel data to detect rice crop and 517 estimate seasonal dynamics of leaf area index. Remote Sens. 9, 248.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.agsy.2018.05.007">doi:10.1016/j.agsy.2018.05.007</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4sn5llmlvjejvdg24apd3hbecu">fatcat:4sn5llmlvjejvdg24apd3hbecu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200305062326/http://repositori.uji.es/xmlui/bitstream/handle/10234/182258/57937.pdf;jsessionid=222054843B6954B92E5893547B565BC6?sequence=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/b1/07/b1070382f957228ea3076b7eec57643d573ceb90.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.agsy.2018.05.007"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Potential utilization of satellite remote sensing for field-based agricultural studies

Keiji Jindo, Osamu Kozan, Kohtaro Iseki, Bernardo Maestrini, Frits K. van Evert, Yilma Wubengeda, Egidio Arai, Yosio Edemir Shimabukuro, Yoshito Sawada, Corné Kempenaar
<span title="">2021</span> <i title="SpringerOpen"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wgyvpbrdwnf23ea6ksnmjgbblm" style="color: black;">Chemical and Biological Technologies in Agriculture</a> </i> &nbsp;
Additionally, the integrated approach of remote-sensing data into the crop simulation model, which can provide a more holistic view of the plant and field status over cropping season, is described for  ...  Although these techniques are powerful tools, especially in developing countries and regions where precise data of crop evaluation and yield statistics are not accessible, it is quite difficult for beginners  ...  Acknowledgements Keiji Jindo wishes to acknowledge financial support (3710473400-1).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s40538-021-00253-4">doi:10.1186/s40538-021-00253-4</a> <a target="_blank" rel="external noopener" href="https://doaj.org/article/a36cefc278ef4e4e9cf55663d664f7c7">doaj:a36cefc278ef4e4e9cf55663d664f7c7</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xbpr23wzmzelnjnysoldboplwe">fatcat:xbpr23wzmzelnjnysoldboplwe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220323080927/https://chembioagro.springeropen.com/track/pdf/10.1186/s40538-021-00253-4.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/c9/56/c956d12cf3c7730767a4c0be9c516a3f6bda3e6d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s40538-021-00253-4"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a>

Automatic Mapping of Rice Growth Stages Using the Integration of SENTINEL-2, MOD13Q1, and SENTINEL-1

Fadhlullah Ramadhani, Reddy Pullanagari, Gabor Kereszturi, Jonathan Procter
<span title="2020-11-03">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
First, we built prediction models based on Sentinel-2, and fusion of MOD13Q1/Sentinel-1 using the ground truth information.  ...  The result indicates that the Sentinel-2 based model classification gives a high overall accuracy of 90.6% and the fusion model MOD13Q1/Sentinel-1 shows 78.3%.  ...  Acknowledgments: Indonesia Ministry of Agriculture for providing high resolution of paddy fields area, researchers from Indonesia Agency for Agroclimate and Hydrology Research Institute (IAHRI) and Muhamad  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs12213613">doi:10.3390/rs12213613</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3rgrxvmczzayjesrwkc545m6eu">fatcat:3rgrxvmczzayjesrwkc545m6eu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201107163738/https://res.mdpi.com/d_attachment/remotesensing/remotesensing-12-03613/article_deploy/remotesensing-12-03613-v2.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/f2/fd/f2fd45f31cea31c2b29c48c07d45da3b07b78708.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs12213613"> <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>

Contribution of Remote Sensing on Crop Models: A Review

Dimitrios Kasampalis, Thomas Alexandridis, Chetan Deva, Andrew Challinor, Dimitrios Moshou, Georgios Zalidis
<span title="2018-03-23">2018</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/au3ye363lzbdroopx7rzfyv63m" style="color: black;">Journal of Imaging</a> </i> &nbsp;
A major limitation of crop growth models is the lack of spatial information on the actual conditions of each field or region.  ...  It examines the main methods by which remote sensing data and crop growth models can be combined.  ...  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  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/jimaging4040052">doi:10.3390/jimaging4040052</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vmoyde2kdjdqteenowui4dnv2u">fatcat:vmoyde2kdjdqteenowui4dnv2u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190227004544/http://pdfs.semanticscholar.org/7434/1c65d208676c9293ab0e8af02e2272b3c8d5.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/74/34/74341c65d208676c9293ab0e8af02e2272b3c8d5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/jimaging4040052"> <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>

Mapping a Cloud-Free Rice Growth Stages Using the Integration of PROBA-V and Sentinel-1 and Its Temporal Correlation with Sub-District Statistics

Fadhlullah Ramadhani, Reddy Pullanagari, Gabor Kereszturi, Jonathan Procter
<span title="2021-04-13">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
The overall accuracy of the rice growth-stage model of PROBA-V was 83.87%, and the Sentinel-1 model was 71.74% with the Support Vector Machine classifier.  ...  Thus, in this study, we propose an integration of optical (PROBA-V) and radar (Sentinel-1) imagery for temporal mapping of rice growth stages, including bare land, vegetative, reproductive, and ripening  ...  Authors also acknowledge the local agriculture data from Agriculture Division on Karawang, Subang, and Indramayu, Misnawati for data tabulation, and M. Ronal Koswara for fieldwork.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs13081498">doi:10.3390/rs13081498</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/y25ygzjqvvhfvemoltkcmt2wpy">fatcat:y25ygzjqvvhfvemoltkcmt2wpy</a> </span>
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Within-Field Rice Yield Estimation Based on Sentinel-2 Satellite Data

Belen Franch, Alberto San Bautista, David Fita, Constanza Rubio, Daniel Tarrazó-Serrano, Antonio Sánchez, Sergii Skakun, Eric Vermote, Inbal Becker-Reshef, Antonio Uris
<span title="2021-10-13">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
Based on the validation dataset, the proposed models provide within-field yield modelling Mean Absolute Error (MAE) of 0.254 t×ha−1 (Mean Absolute Percentage Error, MAPE, of 3.73%) for JSendra at 10 m  ...  Rice is considered one of the most important crops in the world.  ...  for Bomba rice based on the 10 m spatial resolution data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs13204095">doi:10.3390/rs13204095</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6lvisdlakzdtrjuu2455talkhe">fatcat:6lvisdlakzdtrjuu2455talkhe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211018182943/https://mdpi-res.com/d_attachment/remotesensing/remotesensing-13-04095/article_deploy/remotesensing-13-04095.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/ad/52/ad5214320b124a9d9a21f7d9625536b7fd28d167.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs13204095"> <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 Review on Drone-Based Data Solutions for Cereal Crops

Uma Shankar Panday, Arun Kumar Pratihast, Jagannath Aryal, Rijan Bhakta Kayastha
<span title="2020-08-12">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ycpqunwwuja6beynxtnfswzqgy" style="color: black;">Drones</a> </i> &nbsp;
Finally, we present the opportunities for linking information from citizen science, internet of things (IoT) based on low-cost sensors and drone-based information to satellite data for upscaling crop yield  ...  More specifically, the review covers sensing capabilities, promising algorithms, and methods, and added-value of novel machine learning algorithms for local-scale monitoring, biomass and yield estimation  ...  Acknowledgments: The authors would like to thank Reshma Shrestha, Shashank Karki, Abidemi Elesho and three anonymous reviewers for their comments and suggestions to enhance the manuscript.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/drones4030041">doi:10.3390/drones4030041</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ru4ourvzmnctfeky3uodsnynre">fatcat:ru4ourvzmnctfeky3uodsnynre</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200818163730/https://res.mdpi.com/d_attachment/drones/drones-04-00041/article_deploy/drones-04-00041.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/43/2b/432bee69eac9defcd9e5c62a293f5197286796f7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/drones4030041"> <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>

Identifying Dry-Season Rice-Planting Patterns in Bangladesh Using the Landsat Archive

Aaron M. Shew, Aniruddha Ghosh
<span title="2019-05-24">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;
The HTS-VIs model identified 4.285, 4.425, 4.645, 4.117, and 4.407 million rice-producing hectares for 2014, 2015, 2016, 2017, and 2018, respectively, which correlates well with national and district estimates  ...  Findings suggest that the harmonic-time-series-based vegetation indices (HTS-VIs) model has the potential to map rice production across fragmented landscapes and heterogeneous production practices with  ...  While Landsat and MODIS have been the primary choice for rice mapping, future research projects can benefit from Sentinel-2A and -2B products that offer superior spectral and spatial (10-20 m) information  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs11101235">doi:10.3390/rs11101235</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7u5h2gnvk5cffeqnqgrdwvvrwu">fatcat:7u5h2gnvk5cffeqnqgrdwvvrwu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200215070007/https://res.mdpi.com/d_attachment/remotesensing/remotesensing-11-01235/article_deploy/remotesensing-11-01235.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/ec/18/ec18718b3ef3f47f98f202140da5c090d1a3dd8f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs11101235"> <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>

Applications of Vegetative Indices from Remote Sensing to Agriculture: Past and Future

Hatfield, Prueger, Sauer, Dold, O'Brien, Wacha
<span title="2019-12-06">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/y6n45dqtlrd2dodjrgxdevedne" style="color: black;">Inventions</a> </i> &nbsp;
These VIs can express differences in plant response to their soil, meteorological, or management environment and could then be used to determine how the crop could be managed to enhance its productivity  ...  Our challenge will be to develop and evaluate these relationships so they will provide a benefit to our food security and environmental quality.  ...  Acknowledgments: We appreciate the efforts by Wolfgang Oesterreich, Michelle Cryder, and Laura Hansen for their efforts in assembling the remote sensing data shown in this paper.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/inventions4040071">doi:10.3390/inventions4040071</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/j2qgmvz3tzgmjalhduhywjtzfa">fatcat:j2qgmvz3tzgmjalhduhywjtzfa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191208162157/https://res.mdpi.com/d_attachment/inventions/inventions-04-00071/article_deploy/inventions-04-00071.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/79/8e/798e2402d23e6b817fc07fd5009899148db6340d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/inventions4040071"> <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>

Forecasting Spatio-Temporal Dynamics on the Land Surface Using Earth Observation Data—A Review

Jonas Koehler, Claudia Kuenzer
<span title="2020-10-26">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
Time-lagged regressions which are predominantly used for crop yield forecasting and approaches based on Markov Chains for future land use and land cover simulation are the most established methods.  ...  We analyzed the literature regarding research focus, the spatial scope of the study, the forecasting method applied, as well as the temporal and technical properties of the input data.  ...  Acknowledgments: We would like to thank Andreas Dietz and Sebastian Roessler for feedback on the manuscript and Anna Koehler for final proofreading.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs12213513">doi:10.3390/rs12213513</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/npuaiga4fza73daiknqmhmhlhe">fatcat:npuaiga4fza73daiknqmhmhlhe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201030184814/https://res.mdpi.com/d_attachment/remotesensing/remotesensing-12-03513/article_deploy/remotesensing-12-03513-v2.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/35/f6/35f65dc46b5394b169684763116c08eba964c676.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs12213513"> <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>

Distribution and frequency of VKORC1 sequence variants conferring resistance to anticoagulants in Mus musculus

Hans-Joachim Pelz, Simone Rost, Elisabeth Müller, Alexandra Esther, Rainer G Ulrich, Clemens R Müller
<span title="2011-09-06">2011</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xdmqffgcujbw7bsthhn5gitgxa" style="color: black;">Pest Management Science</a> </i> &nbsp;
The Institute's core activity is to advise the federal government and the Federal Ministry of Food, Agriculture and Consumer Protection in particular on all issues relating to cultivated plants.  ...  On this basis, the JKI networks all important departmental tasks relating to cultivated plants -whether grown in fi elds and forests, in the glasshouse or in an urban environment -and develops integrated  ...  Acknowledgements The data from the field trials used in the computer modelling were kindly provided by the Rodenticide Resistance Action Committee and Syngenta AG.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/ps.2254">doi:10.1002/ps.2254</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/21898757">pmid:21898757</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/klcfi2vjqbhqzdcui3xxmwhmoy">fatcat:klcfi2vjqbhqzdcui3xxmwhmoy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170830045724/https://ojs.openagrar.de/index.php/JKA/article/download/1609/1943" 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/83/98/8398bc500844204fb025c67dff363279c9444545.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/ps.2254"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> wiley.com </button> </a>
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