Vote for your favorite mineral in #MinCup25! - Taenite vs. Nontronite
It's a mineral found mostly in the farthest reaches of space vs one so common an exhaustive list of localities is nigh impossible as alloy #taenite faces off against clay #nontronite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Zha, Yong, Zhang, Jiahua, Gao, Jay, He, Junliang (2013) Impact of MODIS-derived cloud cover on aerosol optical depth measured with a sun photometer: a case study from Nanjing, China. International Journal of Remote Sensing, 34 (23). doi:10.1080/01431161.2013.843807

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleImpact of MODIS-derived cloud cover on aerosol optical depth measured with a sun photometer: a case study from Nanjing, China
JournalInternational Journal of Remote Sensing
AuthorsZha, YongAuthor
Zhang, JiahuaAuthor
Gao, JayAuthor
He, JunliangAuthor
Year2013 (December 10)Volume34
Issue23
PublisherInforma UK Limited
DOIdoi:10.1080/01431161.2013.843807Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID17811497Long-form Identifiermindat:1:5:17811497:8
GUID0
Full ReferenceZha, Yong, Zhang, Jiahua, Gao, Jay, He, Junliang (2013) Impact of MODIS-derived cloud cover on aerosol optical depth measured with a sun photometer: a case study from Nanjing, China. International Journal of Remote Sensing, 34 (23). doi:10.1080/01431161.2013.843807
Plain TextZha, Yong, Zhang, Jiahua, Gao, Jay, He, Junliang (2013) Impact of MODIS-derived cloud cover on aerosol optical depth measured with a sun photometer: a case study from Nanjing, China. International Journal of Remote Sensing, 34 (23). doi:10.1080/01431161.2013.843807
In(2013, December) International Journal of Remote Sensing Vol. 34 (23). Informa UK Limited

See Also

These are possibly similar items as determined by title/reference text matching only.

Gao, Jay, Zha, Yong (2010) Meteorological Influence on Predicting Air Pollution from MODIS-Derived Aerosol Optical Thickness: A Case Study in Nanjing, China. Remote Sensing, 2 (9). doi:10.3390/rs2092136
He, Junliang, Zha, Yong, Zhang, Jiahua, Gao, Jay, Li, Yunmei, Chen, Xiaoqiang (2015) Retrieval of aerosol optical thickness from HJ-1 CCD data based on MODIS-derived surface reflectance. International Journal of Remote Sensing, 36 (3). doi:10.1080/01431161.2014.999171
He, Junliang, Zha, Yong, Zhang, Jiahua, Gao, Jay (2014) Aerosol Indices Derived from MODIS Data for Indicating Aerosol-Induced Air Pollution. Remote Sensing, 6 (2). doi:10.3390/rs6021587
Liu, Song, Zha, Yong, Zhang, Jiahua, Gao, Jay, Zhang, Qianqian (2017) Detection of haze and its intensity based on visibility and relative humidity estimated from MODIS data. International Journal of Remote Sensing, 38 (23). doi:10.1080/01431161.2017.1371866
Wang, Qiao, Zha, Yong, Gao, Jay, Shen, Dan (2013) Estimation of atmospheric particulate matter based on MODIS haze optimized transformation. International Journal of Remote Sensing, 34 (5). doi:10.1080/01431161.2012.730155
Cheng, Feng, Zhang, Jiahua, He, Junliang, Zha, Yong, Li, Qiannan, Li, Yunmei (2017) Analysis of aerosol-cloud-precipitation interactions based on MODIS data. Advances in Space Research, 59. 63-73 doi:10.1016/j.asr.2016.08.042
He, Junliang, Zha, Yong, Zhang, Jiahua, Gao, Jay, Wang, Qiang (2014) Synergetic retrieval of terrestrial AOD from MODIS images of twin satellites Terra and Aqua. Advances in Space Research, 53. 1337-1346 doi:10.1016/j.asr.2014.02.013
Acharya, Prasenjit, Sreekesh, S. (2013) Seasonal variability in aerosol optical depth over India: a spatio-temporal analysis using the MODIS aerosol product. International Journal of Remote Sensing, 34 (13). doi:10.1080/01431161.2013.782114
Yan, Hao, Zhang, Jiahua, Hou, Yingyu, He, Yanbo (2009) Estimation of air temperature from MODIS data in east China. International Journal of Remote Sensing, 30 (23). doi:10.1080/01431160902842375
Zha, Yong, Gao, Jay (2011) Quantitative detection of change in grass cover from multi-temporal TM satellite data. International Journal of Remote Sensing, 32 (5). doi:10.1080/01431160903530839
Yang, Shan, Zha, Yong, Gao, Jay (2001) Applications of Remote Sensing and GIS to Monitoring of Urban Sprawl: A Case Study inWuxiCity, China. Annals of GIS, 7 (2) 137-141 doi:10.1080/10824000109480566
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 15, 2025 14:08:41
Go to top of page