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Rokni, Komeil, Musa, Tajul Ariffin (2019) Normalized difference vegetation change index: A technique for detecting vegetation changes using Landsat imagery. CATENA, 178. 59-63 doi:10.1016/j.catena.2019.03.007

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Reference TypeJournal (article/letter/editorial)
TitleNormalized difference vegetation change index: A technique for detecting vegetation changes using Landsat imagery
JournalCATENA
AuthorsRokni, KomeilAuthor
Musa, Tajul AriffinAuthor
Year2019 (July)Volume178
PublisherElsevier BV
DOIdoi:10.1016/j.catena.2019.03.007Search in ResearchGate
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Mindat Ref. ID16571115Long-form Identifiermindat:1:5:16571115:9
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Full ReferenceRokni, Komeil, Musa, Tajul Ariffin (2019) Normalized difference vegetation change index: A technique for detecting vegetation changes using Landsat imagery. CATENA, 178. 59-63 doi:10.1016/j.catena.2019.03.007
Plain TextRokni, Komeil, Musa, Tajul Ariffin (2019) Normalized difference vegetation change index: A technique for detecting vegetation changes using Landsat imagery. CATENA, 178. 59-63 doi:10.1016/j.catena.2019.03.007
In(2019) CATENA Vol. 178. Elsevier BV

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Rokni, Komeil, Musa, Tajul Ariffin, Hazini, Sharifeh, Ahmad, Anuar, Solaimani, Karim (2015) Investigating the application of pixel-level and product-level image fusion approaches for monitoring surface water changes. Natural Hazards, 78. 219-230 doi:10.1007/s11069-015-1711-0
Rokni, Komeil, Ahmad, Anuar, Selamat, Ali, Hazini, Sharifeh (2014) Water Feature Extraction and Change Detection Using Multitemporal Landsat Imagery. Remote Sensing, 6 (5). doi:10.3390/rs6054173
JACKSON, T (2004) Vegetation water content mapping using Landsat data derived normalized difference water index for corn and soybeans. Remote Sensing of Environment, 92 (4). 475-482 doi:10.1016/j.rse.2003.10.021
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Escuin, S., Navarro, R., Fernández, P. (2008) Fire severity assessment by using NBR (Normalized Burn Ratio) and NDVI (Normalized Difference Vegetation Index) derived from LANDSAT TM/ETM images. International Journal of Remote Sensing, 29 (4). doi:10.1080/01431160701281072
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