Knowledge Center Catalog

Examining the prospects of sentinel-2 multispectral data in detecting and mapping maize streak virus severity in smallholder Ofcolaco farms, South Africa (Record no. 63317)

MARC details
000 -LEADER
fixed length control field 02657nab|a22003497a|4500
001 - CONTROL NUMBER
control field 63317
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20211006085222.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210211s2019||||xxk|||p|op||||00||0|eng|d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1010-6049
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1752-0762 (Online)
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1080/10106049.2019.1669724
040 ## - CATALOGING SOURCE
Original cataloging agency MX-TxCIM
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Dhau, I.
9 (RLIN) 18392
245 10 - TITLE STATEMENT
Title Examining the prospects of sentinel-2 multispectral data in detecting and mapping maize streak virus severity in smallholder Ofcolaco farms, South Africa
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. United Kingdom :
Name of publisher, distributor, etc. Taylor and Francis,
Date of publication, distribution, etc. 2019.
500 ## - GENERAL NOTE
General note Peer review
520 ## - SUMMARY, ETC.
Summary, etc. Crop diseases monitoring is critical in understanding the effects of diseases on crop production and associated implications on food security. The aim of this study was to assess the utility of the 10 m resolution Sentinel 2 data set, in detecting and mapping Maize Streak Virus (MSV) disease in Ofcolaco farms in Tzaneen, South Africa. Specifically, the study sought to spectrally discriminate and map maize infected with MSV from other land-cover classes. To achieve this objective two analysis approaches were used: spectral analysis (Test I: spectral bands; Test II: spectral bands + spectral vegetation indices) using random forest algorithm in a supervised classification approach. The indices combined with spectral bands were EVI, SAVI, NDVI, GNDVI, GLI and MSAVI. Results indicated that infected maize was highly separable from health maize and other land cover classes (TDSI > 1.8). The mapping accuracy was high using spectral data (Overall accuracy = 85.29% and Kappa = 0.79) and even higher when spectral bands were combined with derived vegetation indices (Overall accuracy = 89.43% and Kappa = 0.84). The results of the study show that the 10 m resolution multispectral Sentinel 2 data set can be used to detect and map maize infected by MSV. The findings are important in showing the value of combining 10 m spectral data with derived indices from Sentinel 2 in improving monitoring of maize steak virus in resource-constrained nations.
546 ## - LANGUAGE NOTE
Language note Text in English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Maize
Miscellaneous information AGROVOC
Source of heading or term
9 (RLIN) 1173
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Plant diseases
Miscellaneous information AGROVOC
Source of heading or term
9 (RLIN) 1206
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Food security
Miscellaneous information AGROVOC
Source of heading or term
9 (RLIN) 1118
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Satellites
Source of heading or term AGROVOC
9 (RLIN) 3815
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Costs
Source of heading or term AGROVOC
9 (RLIN) 9694
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Semiarid zones
Source of heading or term AGROVOC
9 (RLIN) 5739
651 #7 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Source of heading or term AGROVOC
9 (RLIN) 5594
Geographic name South Africa
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dube, T.
9 (RLIN) 18393
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Mushore, T.D.
9 (RLIN) 18394
773 0# - HOST ITEM ENTRY
Related parts In press
Place, publisher, and date of publication United Kingdom : Taylor and Francis, 2020.
International Standard Serial Number 1010-6049
Title Geocarto International
Record control number u74640
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Article
Suppress in OPAC No
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Date last seen Total Checkouts Price effective from Koha item type Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Withdrawn status Home library Current library Date acquired
02/11/2021   02/11/2021 Article Not Lost Dewey Decimal Classification     Reprints Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 02/11/2021

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