Mod13c1. OPERATIONAL PREDICTION OF CROP YIELDS USING MODIS DATA AND PRODUCTS Paul C. Doraiswamya, Bakhyt Akhmedovb, Larry Beardc, Alan Sterna and Richard Muellerc aUSDA, ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705 (paul.doraiswamy, alan.stern) @ARS.USDA.GOV bScience Systems and Associates, Inc. Lanham, MD 20704; - [email protected] Using MODIS Data to Predict Regional Corn Yields Ho-Young Ban 1, Kwang Soo Kim 1, No-Wook Park 2 and Byun-Woo Lee 1,3,* 1 Department of Plant Science, College of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea; [email protected] (H.-Y.B.); [email protected] (K.S.K.)Funding Information: This study was funded by the National Key Basic Research Program of China (2018YFA0606104, 2016YFA0602701), National Science Fund for Distinguished Young Scholars (41925001), Guangdong Basic and Applied Basic Research Foundation (2020A1515111145), Innovation Group Project of Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (No. 311021009), Fundamental ...MOD13C1 are assessed and compared in China by using overlapping datasets from 2001 to 2014. We aim to (1) understand the spatial patterns and the correlation of the NDVI values between theThanks for contributing an answer to Geographic Information Systems Stack Exchange! Please be sure to answer the question.Provide details and share your research! But avoid …. Asking for help, clarification, or responding to other answers.pyEOM. pyEOM is the Python package for the Earth Observation Monitor (www.earth-observation-monitor.net), a project developed by the Friedrich-Schiller-University Jena, Department for Earth Observation (www.eo.uni-jena.de).You can use pyEOM to extract time-series data for different MODIS products and Landsat data and a given geometry (individual Pixel or Polygon).The measured NDVI values of LTDR V4 were always higher than that of MOD13C1 in western China due to the relatively lower atmospheric water vapor content in western China, and opposite observation appeared in eastern China. In total, 18.54% of the LTDR V4 NDVI pixels exhibit significant trends, whereas 35.79% of the MOD13C1 NDVI pixels show ...Vegetation is a crucial component of the Earth system because it provides ecosystem services like food and oxygen production, CO 2 sequestration and evaporative cooling. Therefore, the effects of changes in vegetation productivity are diverse; it influences crop yields (Orth et al., 2020), cloud formation (Hong et al., 1995; Freedman et al., 2001), precipitation (Pielke et al., 2007 ...***** U.S. GOVERNMENT COMPUTER This US Government computer is for authorized users only. By accessing this system you are consenting to complete monitoring with no expectation of privacy.The MOD13C1 is a higher-level product available since 2000 and derived from the spatial average (cloud-free pixels) of the MOD13A2 product (1 km), composed of 16 days, and projected into the geographic Climate Modeling Grid. According to the level of processing, MODIS products are divided into 5 categories (0 to 4; Mas, 2011).The MODIS Land Science Team has developed coarse 5km versions of selected products to enable synoptic quality assessment via the internet. The coarse spatial resolution products are projected into a global coordinate system defined with pixel sizes corresponding to 20km in the Hammer-Aitoff projection (except for the Sea Ice products that have 14.15km pixels defined in the Lambert Azimuthal ...产品的获取时间. NASA的earthdata网站的产品更新时间大约是 最后观测日期后推8-9天时间 。. 以下图中的数据为例,合成数据日期是20190218至20190305,也就是说数据的最后观测日期为2019年3月5日。. 产品生产时间是:2019-03-14T19:31:29.000Z,数据更新时间是:2019-03-14T14:43:27 ...Page 53 Journal of Economic and Economic Education Research, Volume 15, Number 3, 2014 CROP YIELD PREDICTION USING TIME SERIES MODELS Askar Choudhury, Illinois State UniversityIntroduction. Desertification is defined as "land degradation in arid, semi-arid and dry sub-humid areas resulting from climate change and human activities" 1.Land degradation is emerging as one of the most globally catastrophic issues in the context of contemporary climate change and non-controlled anthropogenic activities 2, 3.Yet, there is no clear consensus among scientists regarding ...V4 and MOD13C1 datasets and the difference average annual NDVI between MOD13C1 and L TDR V4. Sensors 2017 , 17 , 1298 8 of 18 Sensors 2017 , 17 , 1298 8 of 1920000913_mod13c1.tif. Image 20000929 mod13c1 Popular. Published on 01 March 2021 By Hóddi. 174 downloads . Download (tif, 1.96 MB) 20000929_mod13c1.tif. Conservation of Arctic Flora and Fauna "to address the conservation of Arctic biodiversity, and to communicate its findings to the governments and residents of the Arctic, helping to promote ...Precipitation data from TRMM was obtained at .25x0.25 degrees spatial resolution and monthly temporal resolution and EVI values were obtained from the CGM (Climate Grid Modeling) MOD13C1-16-days and 5.6km temporal and spatial resolutions, respectively.MODIS Vegetation Index User's Guide (MOD13 Series) Version 2.00, May 2010 (Collection 5) Ramon Solano, Kamel Didan*, Andree Jacobson and Alfredo Huete vfr750 rc30 for sale MOD13C1 Input projection info: GEO, WGS84 . Title: Microsoft Word - nsidc0388_smex04_modis.doc Author: lefevrk Created Date: 5/6/2009 3:45:40 PM ... Funding Information: This study was funded by the National Key Basic Research Program of China (2018YFA0606104, 2016YFA0602701), National Science Fund for Distinguished Young Scholars (41925001), Guangdong Basic and Applied Basic Research Foundation (2020A1515111145), Innovation Group Project of Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (No. 311021009), Fundamental ...The measured NDVI values of LTDR V4 were always higher than that of MOD13C1 in western China due to the relatively lower atmospheric water vapor content in western China, and opposite observation appeared in eastern China. In total, 18.54% of the LTDR V4 NDVI pixels exhibit significant trends, whereas 35.79% of the MOD13C1 NDVI pixels show ...8 MOD13C1 CMG (16-day 0.05-deg) VI. The VI CMG series is a seamless global 3600x7200 pixel data product with 13 SDS’s, at approximately 100 MB per composite period (using internal compression). This is a higher quality climate product useful in time series analyses of earth surface processes. It incorporates a QA filter scheme that removes ... The MOD13C1 is a higher-level product available since 2000 and derived from the spatial average (cloud-free pixels) of the MOD13A2 product (1 km), composed of 16 days, and projected into the geographic Climate Modeling Grid. According to the level of processing, MODIS products are divided into 5 categories (0 to 4; Mas, 2011). shih tzu puppies new mexico Introduction. Desertification is defined as "land degradation in arid, semi-arid and dry sub-humid areas resulting from climate change and human activities" 1.Land degradation is emerging as one of the most globally catastrophic issues in the context of contemporary climate change and non-controlled anthropogenic activities 2, 3.Yet, there is no clear consensus among scientists regarding ...MOD13C1(version 5, 6) = Vegetation Indices 16-Day L3 Global 0.05Deg CMG; MYD13C1(version 5, 6) = Vegetation Indices 16-Day L3 Global 0.05Deg CMG; MOD13Q1 = MODIS/Terra Vegetation Indices 16-Day L3 Global 250m SIN Grid; MYD13Q1 (version 4, 5, 6) = MODIS/Aqua Vegetation Indices 16-Day L3 Global 250m SIN GridMOD13C1 are assessed and compared in China by using overlapping datasets from 2001 to 2014. We aim to (1) understand the spatial patterns and the correlation of the NDVI values between theImage masking for crop yield forecasting using AVHRR NDVI time series imageryB Jude H. Kastens a,*, Terry L. Kastens b, Dietrich L.A. Kastens c, Kevin P. Price d,a, Edward A. Martinko e,f, Re-Yang Lee g a Kansas Applied Remote Sensing Program, located at the University of Kansas in Lawrence, Kansas (USA) b Department of Agricultural Economics at Kansas State University in Manhattan, KansasGlobal MOD13C1 data are cloud-free spatial composites of the gridded 16-day 1 kilometer MOD13A2 data, and are provided as a Level 3 product projected on a 0.05 degree (5,600 m) geographic CMG. The MOD13C1 has data fields for NDVI, EVI, VI QA, reflectance data, angular information, and spatial statistics such as mean, standard deviation, and ...The MOD13C1 EVI trend results by land cover exhibit more variability between classes, with much higher percentages of positive trends in croplands, compared to, for example, evergreen broadleaf forests. The MOD13C1 data also display major differences in the percentage of negative trends for the woody savannas between collections.***** U.S. GOVERNMENT COMPUTER This US Government computer is for authorized users only. By accessing this system you are consenting to complete monitoring with no expectation of privacy.Product codes are: MOD13C1 (Terra) and MYD13C1 (Aqua) Earth Observing System ClearingHOuse (ECHO) / Reverb, Version 10.X Greenbelt, MD: EOSDIS, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA) Administrative Divisions: United Nations - Member States macys app Thanks for contributing an answer to Geographic Information Systems Stack Exchange! Please be sure to answer the question.Provide details and share your research! But avoid …. Asking for help, clarification, or responding to other answers.In this study, annual NDVI time series that are composited by the LTDR V4 and Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI datasets (MOD13C1) are compared and evaluated for the period from 2001 to 2014 in China. The spatial patterns of the NDVI generally match between the LTDR V4 mod13c1是16 d合成产品,所以为了配合逐日mod11c1合成产品的使用,地表反射率在16 d里假定是恒值。根据mod11c1和mod13c1,本文选取其中的地表温度及蓝光、红光、中红外和近红外波段反射率数据进行全球36 km土壤水分估算的广义回归神经网络的训练(图2)。 To understand if there was higher than expected growth of vegetation across Australia in 2015, we evaluated the monthly EVI anomalies relative to the long-term mean from 2000-2014. We used the EVI from the MODIS MOD13C1 version 6 data product from the NASA satellite Terra (Didan, 2014). game of thrones slots zynga free coins MODIS VI (MOD13) • The MODIS VI product (MOD13) is a chain of VI products at varying spatial (250m, 1km, 0.05 degree) and temporal (16-day, monthly) resolutions • It contains both NDVI and EVI indices: NDVI as the continuity index (+30 yr data). Simple, wellknown, APAR-correlated.Mar 01, 2012 · MODIS数据说明. MODIS目前主要存在于两颗卫星上:TERRA和AQUA。. TERRA卫星每日地方时上午10:30时过境,因此也把它称作地球观测第一颗上午星 (EOS-AM1)。. AQUA每日地方时下午过境,因此称作地球观测第一颗下午星 (EOS-PM1)。. 两颗星相互配合,每1-2天可重复观测整个地球 ... MOD13C1: 16-day 25-km VI (coarse resolution (CMG)/ globally produced) MOD13C2: Monthly 25-km VI (coarse resolution (CMG)/globally produced) For production purposes the MODIS VIs are output in tile units that are approximately 1200 by 1200 km in the integerized sinusoidal (ISIN) grid projection. When mosaicked, all tiles cover the terrestrial ...MODIS Vegetation Index User's Guide (MOD13 Series) Version 3.10, September 2019 (Collection 6.1) Kamel Didan*, Armando Barreto Munoz (*[email protected])The MOD13C1 Version 6 product provides a Vegetation Index (VI) value at a per pixel basis. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. MOD13C1 data with quality flags for 2004-6 (WWW22011). 2.2. Land cover data Land cover information was obtained from the 'MODIS Terra Land Cover Type Yearly L3 Global 1 km SIN Grid' product—MOD12Q1. This is the official NASA C5 land cover data set (WWW32011, Friedl et al 2010). It consists drone with thermal camera Current available datasets. NASA MODIS MOD13 - Vegetation Indices. MODIS core mission, standard VI products include the normalize difference vegetation index (NDVI) and the enhanced vegetation index (EVI) to effectively characterize bio-physical/ biochemical states and processes from vegetated surfaces.Jan 20, 2017 · ***** U.S. GOVERNMENT COMPUTER This US Government computer is for authorized users only. By accessing this system you are consenting to complete monitoring with no expectation of privacy. As in MOD13C1, QA metadata objects summarize tile-level quality with several single words and numeric numbers, and thus are useful for data ordering and screening processes. QA SDSs document product quality on a pixel-by-pixel basis and thus are useful for data analyses and application uses of the data.MOD13C1 are assessed and compared in China by using overlapping datasets from 2001 to 2014. We aim to (1) understand the spatial patterns and the correlation of the NDVI values between theIn the case of MOD13C1/C2, each 0.05° × 0.05° monthly EVI value has two binary cloud quality flags: adjacent cloud detected (bit 8) and mixed clouds (bit 10). Aerosol quality flag, 2 bits in precision, provides information on aerosol content and is named aerosol quantity.To understand if there was higher than expected growth of vegetation across Australia in 2015, we evaluated the monthly EVI anomalies relative to the long-term mean from 2000-2014. We used the EVI from the MODIS MOD13C1 version 6 data product from the NASA satellite Terra (Didan, 2014).The MODIS Land Science Team has developed coarse 5km versions of selected products to enable synoptic quality assessment via the internet. The coarse spatial resolution products are projected into a global coordinate system defined with pixel sizes corresponding to 20km in the Hammer-Aitoff projection (except for the Sea Ice products that have 14.15km pixels defined in the Lambert Azimuthal ...and MOD13C1) and used the quality assurance (QA) filters to screen for and remove cloud and aerosol contaminated pixels, as in Saleska et al. (2007). We tested a wide variety of methods to process the MODIS EVI time series data and found consistent patterns throughout our analysis, further confirming the Amazon green-up hypothesis. 4. pyEOM. pyEOM is the Python package for the Earth Observation Monitor (www.earth-observation-monitor.net), a project developed by the Friedrich-Schiller-University Jena, Department for Earth Observation (www.eo.uni-jena.de).You can use pyEOM to extract time-series data for different MODIS products and Landsat data and a given geometry (individual Pixel or Polygon).As in MOD13C1, QA metadata objects summarize tile-level quality with several single words and numeric numbers, and thus are useful for data ordering and screening processes. QA SDSs document product quality on a pixel-by-pixel basis and thus are useful for data analyses and application uses of the data.To understand if there was higher than expected growth of vegetation across Australia in 2015, we evaluated the monthly EVI anomalies relative to the long-term mean from 2000-2014. We used the EVI from the MODIS MOD13C1 version 6 data product from the NASA satellite Terra (Didan, 2014).The MOD13C2 Version 6 product provides a Vegetation Index (VI) value at a per pixel basis. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI.The measured NDVI values of LTDR V4 were always higher than that of MOD13C1 in western China due to the relatively lower atmospheric water vapor content in western China, and opposite observation appeared in eastern China. In total, 18.54% of the LTDR V4 NDVI pixels exhibit significant trends, whereas 35.79% of the MOD13C1 NDVI pixels show ...and MOD13C1) and used the quality assurance (QA) filters to screen for and remove cloud and aerosol contaminated pixels, as in Saleska et al. (2007). We tested a wide variety of methods to process the MODIS EVI time series data and found consistent patterns throughout our analysis, further confirming the Amazon green-up hypothesis. 4. R/MODIS_QC.R defines the following functions: motorola rmv2080 programming software MOD13C1 - MODIS/Terra Vegetation Indices 16-Day L3 Global 0.05Deg CMG. Global MODIS vegetation indices are designed to provide consistent spatial and temporal comparisons of vegetation conditions. Blue, red, and near-infrared reflectances, centered at 469-nanometers, 645-nanometers, and 858-nanometers, respectively, are used to determine the ...Global NDVI from MOD13C1 product (right) and an example of a time series in southeastern Australia (left). Now, identify seasons based on a fixed threshold and a minimum duration. The threshold and duration were visually estimated from the time series plot for the example.Enhanced Vegetation Index - Australia 2012. This table contains 2012 EVI (Enhanced Vegetation Index) values at the postcode level for Australia.Creation of a validation data set and test harness. Cross-validation (rotation estimation) or out-of-sample testing is a model validation technique or procedure for assessing how the results of an algorithm or statistical analysis will generalize to an independent data set [].Maize yield data collected over seven years from multi-country and multi-site were used in this ML study.Deep Learning For Crop Yield Prediction in Africa Apollo Kaneko* 1Thomas Kennedy* Lantao Mei2 Christina Sintek3 Marshall Burke4 Stefano Ermon1 David Lobell4 Abstract Lack of food security persists in many regions around the world, especially Africa.Mar 01, 2012 · MODIS数据说明. MODIS目前主要存在于两颗卫星上:TERRA和AQUA。. TERRA卫星每日地方时上午10:30时过境,因此也把它称作地球观测第一颗上午星 (EOS-AM1)。. AQUA每日地方时下午过境,因此称作地球观测第一颗下午星 (EOS-PM1)。. 两颗星相互配合,每1-2天可重复观测整个地球 ... talbots red puffer vest MOD13C1 is the Terra MODIS level 3 vegetation index product, which was calculated from the Terra MODIS level 2 surface reflectance product (MOD09 series). The atmospheric correction of MOD09 bands 1-7, which were based on the 6S radiative transfer model, was used to generate the surface reflectance . The surface pressure, ozone and water ...getSpatialData . Introduction. getSpatialData is an R package in an early development stage that ultimately aims to enable homogeneous and reproducible workflows to query, preview, analyze, select, order and download various kinds of spatial datasets from open sources.. The package enables generic access to multiple data distributors with a common syntax for 159 products.Introduction. Desertification is defined as "land degradation in arid, semi-arid and dry sub-humid areas resulting from climate change and human activities" 1.Land degradation is emerging as one of the most globally catastrophic issues in the context of contemporary climate change and non-controlled anthropogenic activities 2, 3.Yet, there is no clear consensus among scientists regarding ...In this study, annual NDVI time series that are composited by the LTDR V4 and Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI datasets (MOD13C1) are compared and evaluated for the period from 2001 to 2014 in China. The spatial patterns of the NDVI generally match between the LTDR V4 In southern China, obvious discrepancies in the NDVI trends between the LTDR V4 and MOD13C1 datasets were evident , with many more pixels showing significantly positive trends in MOD13C1 than in LTDR V4. Southern China is located in a humid zone.A fetal (origin of the) posterior cerebral artery is a common variant in the posterior cerebral circulation, estimated to occur in 20-30% of individuals 2.. The posterior communicating artery (PCom) is larger than the P1 segment of the posterior cerebral artery (PCA) and supplies the bulk of the blood to the PCA. If bilateral, the basilar artery is significantly smaller than normal.Fuel availability was quantified by the biweekly MODIS Terra normalized difference vegetation index (NDVI) product at 0.05° resolution (MOD13C1, 2000-present) (Didan 2015). A high NDVI value indicates sufficient biomass favoring burning. The annual 250 m MODIS tree cover product (MOD44B, 2003-2017) (Dimiceli et al 2015) was applied as well.The MODIS Land Science Team has developed coarse 5km versions of selected products to enable synoptic quality assessment via the internet. The coarse spatial resolution products are projected into a global coordinate system defined with pixel sizes corresponding to 20km in the Hammer-Aitoff projection (except for the Sea Ice products that have 14.15km pixels defined in the Lambert Azimuthal ... jack in the boxkissen 30x50 rosacochin duty free offersvacasa housekeeping app20 ohm 50 watt resistorhow to create foundation objects in successfactorsmustang keyless entry module locationwhat is your experience with b2b support of a technical product l8-136