Automation of Customized and Near-Real-Time Vegetation Condition Index Generation Through Cyberinfrastructure-Based Geoprocessing Workflows. Sun, Z., Peng, C., Deng, M., Chen, A., Yue, P., Fang, H., & Di, L. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(11):4512–4522, November, 2014. doi abstract bibtex Vegetation condition index (VCI) is a popular index widely used in vegetation-related analyses. Traditional VCI products are fixed on temporal extent and unchangeable for common users. Customized VCI products, which contain a lot of new information that is unavailable in traditional VCI products, are usually difficult to generate. A new method to automate the generation of customized and near-real-time (NRT) VCI products is in great demand but remains a big challenge. Recent advances in Cyberinfrastructure (CI) have shown promise to meet this challenge. This paper presents a new approach using CI-based geoprocessing workflows to automatically generate VCI products at customized and NRT conditions. The utility of customized NRT VCIs in agriculture-related analyses is also discussed. The approach has been implemented as a new function in the Global Agricultural Drought Monitoring and Forecasting System (GADMFS). The experiment results demonstrate the feasibility of the proposed approach in facilitating the customization of VCI products and accelerating the generation of VCI products into NRT level.
@article{sun_automation_2014,
title = {Automation of {Customized} and {Near}-{Real}-{Time} {Vegetation} {Condition} {Index} {Generation} {Through} {Cyberinfrastructure}-{Based} {Geoprocessing} {Workflows}},
volume = {7},
issn = {1939-1404},
doi = {10.1109/JSTARS.2014.2377248},
abstract = {Vegetation condition index (VCI) is a popular index widely used in vegetation-related analyses. Traditional VCI products are fixed on temporal extent and unchangeable for common users. Customized VCI products, which contain a lot of new information that is unavailable in traditional VCI products, are usually difficult to generate. A new method to automate the generation of customized and near-real-time (NRT) VCI products is in great demand but remains a big challenge. Recent advances in Cyberinfrastructure (CI) have shown promise to meet this challenge. This paper presents a new approach using CI-based geoprocessing workflows to automatically generate VCI products at customized and NRT conditions. The utility of customized NRT VCIs in agriculture-related analyses is also discussed. The approach has been implemented as a new function in the Global Agricultural Drought Monitoring and Forecasting System (GADMFS). The experiment results demonstrate the feasibility of the proposed approach in facilitating the customization of VCI products and accelerating the generation of VCI products into NRT level.},
number = {11},
journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
author = {Sun, Z. and Peng, C. and Deng, M. and Chen, A. and Yue, P. and Fang, H. and Di, L.},
month = nov,
year = {2014},
keywords = {agriculture, Agriculture, agriculture-related analysis, CI-based geoprocessing workflow, common user temporal extent, customized and near-real-time VCI product generation automation, customized NRT VCI, Customized product, customized VCI product, customized vegetation condition index generation automation, cyberinfrastructure (CI), cyberinfrastructure-based geoprocessing workflow, Engines, GADMFS, geophysics computing, geoprocessing workflow, global agricultural drought monitoring and forecasting system, hydrology, Indexes, MODIS, Monitoring, near-real-time (NRT), near-real-time vegetation condition index generation automation, NRT condition, NRT level, Production, traditional VCI product, unchangeable common user, VCI product generation, vegetation, vegetation condition index (VCI), Vegetation mapping, vegetation-related analysis},
pages = {4512--4522},
file = {IEEE Xplore Abstract Record:/Volumes/mini-disk1/Google Drive/_lib/zotero/storage/DQLLEMA2/6995950.html:text/html;IEEE Xplore Full Text PDF:/Volumes/mini-disk1/Google Drive/_lib/zotero/storage/CQ5YXMWQ/Sun et al. - 2014 - Automation of Customized and Near-Real-Time Vegeta.pdf:application/pdf}
}
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Traditional VCI products are fixed on temporal extent and unchangeable for common users. Customized VCI products, which contain a lot of new information that is unavailable in traditional VCI products, are usually difficult to generate. A new method to automate the generation of customized and near-real-time (NRT) VCI products is in great demand but remains a big challenge. Recent advances in Cyberinfrastructure (CI) have shown promise to meet this challenge. This paper presents a new approach using CI-based geoprocessing workflows to automatically generate VCI products at customized and NRT conditions. The utility of customized NRT VCIs in agriculture-related analyses is also discussed. The approach has been implemented as a new function in the Global Agricultural Drought Monitoring and Forecasting System (GADMFS). The experiment results demonstrate the feasibility of the proposed approach in facilitating the customization of VCI products and accelerating the generation of VCI products into NRT level.","number":"11","journal":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","author":[{"propositions":[],"lastnames":["Sun"],"firstnames":["Z."],"suffixes":[]},{"propositions":[],"lastnames":["Peng"],"firstnames":["C."],"suffixes":[]},{"propositions":[],"lastnames":["Deng"],"firstnames":["M."],"suffixes":[]},{"propositions":[],"lastnames":["Chen"],"firstnames":["A."],"suffixes":[]},{"propositions":[],"lastnames":["Yue"],"firstnames":["P."],"suffixes":[]},{"propositions":[],"lastnames":["Fang"],"firstnames":["H."],"suffixes":[]},{"propositions":[],"lastnames":["Di"],"firstnames":["L."],"suffixes":[]}],"month":"November","year":"2014","keywords":"agriculture, Agriculture, agriculture-related analysis, CI-based geoprocessing workflow, common user temporal extent, customized and near-real-time VCI product generation automation, customized NRT VCI, Customized product, customized VCI product, customized vegetation condition index generation automation, cyberinfrastructure (CI), cyberinfrastructure-based geoprocessing workflow, Engines, GADMFS, geophysics computing, geoprocessing workflow, global agricultural drought monitoring and forecasting system, hydrology, Indexes, MODIS, Monitoring, near-real-time (NRT), near-real-time vegetation condition index generation automation, NRT condition, NRT level, Production, traditional VCI product, unchangeable common user, VCI product generation, vegetation, vegetation condition index (VCI), Vegetation mapping, vegetation-related analysis","pages":"4512–4522","file":"IEEE Xplore Abstract Record:/Volumes/mini-disk1/Google Drive/_lib/zotero/storage/DQLLEMA2/6995950.html:text/html;IEEE Xplore Full Text PDF:/Volumes/mini-disk1/Google Drive/_lib/zotero/storage/CQ5YXMWQ/Sun et al. - 2014 - Automation of Customized and Near-Real-Time Vegeta.pdf:application/pdf","bibtex":"@article{sun_automation_2014,\n\ttitle = {Automation of {Customized} and {Near}-{Real}-{Time} {Vegetation} {Condition} {Index} {Generation} {Through} {Cyberinfrastructure}-{Based} {Geoprocessing} {Workflows}},\n\tvolume = {7},\n\tissn = {1939-1404},\n\tdoi = {10.1109/JSTARS.2014.2377248},\n\tabstract = {Vegetation condition index (VCI) is a popular index widely used in vegetation-related analyses. Traditional VCI products are fixed on temporal extent and unchangeable for common users. Customized VCI products, which contain a lot of new information that is unavailable in traditional VCI products, are usually difficult to generate. A new method to automate the generation of customized and near-real-time (NRT) VCI products is in great demand but remains a big challenge. Recent advances in Cyberinfrastructure (CI) have shown promise to meet this challenge. This paper presents a new approach using CI-based geoprocessing workflows to automatically generate VCI products at customized and NRT conditions. The utility of customized NRT VCIs in agriculture-related analyses is also discussed. The approach has been implemented as a new function in the Global Agricultural Drought Monitoring and Forecasting System (GADMFS). The experiment results demonstrate the feasibility of the proposed approach in facilitating the customization of VCI products and accelerating the generation of VCI products into NRT level.},\n\tnumber = {11},\n\tjournal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},\n\tauthor = {Sun, Z. and Peng, C. and Deng, M. and Chen, A. and Yue, P. and Fang, H. and Di, L.},\n\tmonth = nov,\n\tyear = {2014},\n\tkeywords = {agriculture, Agriculture, agriculture-related analysis, CI-based geoprocessing workflow, common user temporal extent, customized and near-real-time VCI product generation automation, customized NRT VCI, Customized product, customized VCI product, customized vegetation condition index generation automation, cyberinfrastructure (CI), cyberinfrastructure-based geoprocessing workflow, Engines, GADMFS, geophysics computing, geoprocessing workflow, global agricultural drought monitoring and forecasting system, hydrology, Indexes, MODIS, Monitoring, near-real-time (NRT), near-real-time vegetation condition index generation automation, NRT condition, NRT level, Production, traditional VCI product, unchangeable common user, VCI product generation, vegetation, vegetation condition index (VCI), Vegetation mapping, vegetation-related analysis},\n\tpages = {4512--4522},\n\tfile = {IEEE Xplore Abstract Record:/Volumes/mini-disk1/Google Drive/_lib/zotero/storage/DQLLEMA2/6995950.html:text/html;IEEE Xplore Full Text PDF:/Volumes/mini-disk1/Google Drive/_lib/zotero/storage/CQ5YXMWQ/Sun et al. - 2014 - Automation of Customized and Near-Real-Time Vegeta.pdf:application/pdf}\n}\n\n","author_short":["Sun, Z.","Peng, C.","Deng, M.","Chen, A.","Yue, P.","Fang, H.","Di, L."],"key":"sun_automation_2014","id":"sun_automation_2014","bibbaseid":"sun-peng-deng-chen-yue-fang-di-automationofcustomizedandnearrealtimevegetationconditionindexgenerationthroughcyberinfrastructurebasedgeoprocessingworkflows-2014","role":"author","urls":{},"keyword":["agriculture","Agriculture","agriculture-related analysis","CI-based geoprocessing workflow","common user temporal extent","customized and near-real-time VCI product generation automation","customized NRT VCI","Customized product","customized VCI product","customized vegetation condition index generation automation","cyberinfrastructure (CI)","cyberinfrastructure-based geoprocessing workflow","Engines","GADMFS","geophysics computing","geoprocessing workflow","global agricultural drought monitoring and forecasting system","hydrology","Indexes","MODIS","Monitoring","near-real-time (NRT)","near-real-time vegetation condition index generation automation","NRT condition","NRT level","Production","traditional VCI product","unchangeable common user","VCI product generation","vegetation","vegetation condition index (VCI)","Vegetation mapping","vegetation-related analysis"],"downloads":0,"html":"","metadata":{"authorlinks":{}}},"search_terms":["automation","customized","near","real","time","vegetation","condition","index","generation","through","cyberinfrastructure","based","geoprocessing","workflows","sun","peng","deng","chen","yue","fang","di"],"keywords":["agriculture","agriculture","agriculture-related analysis","ci-based geoprocessing workflow","common user temporal extent","customized and near-real-time vci product generation automation","customized nrt vci","customized product","customized vci product","customized vegetation condition index generation automation","cyberinfrastructure (ci)","cyberinfrastructure-based geoprocessing workflow","engines","gadmfs","geophysics computing","geoprocessing workflow","global agricultural drought monitoring and forecasting system","hydrology","indexes","modis","monitoring","near-real-time (nrt)","near-real-time vegetation condition index generation automation","nrt condition","nrt level","production","traditional vci product","unchangeable common user","vci product generation","vegetation","vegetation condition index (vci)","vegetation mapping","vegetation-related analysis"],"authorIDs":["5bd89df764f10d10000003e1"],"dataSources":["DTsmNeo3d3wppoQWa"]}