A normalized difference vegetation index (NDVI) time-series of idle agriculture lands: A preliminary study
In this paper, the NDVI time-series collected from the study area between year 2003 and 2005 of all land cover types are plotted and compared. The study area is the agricultural zones in Banphai District, Khonkean, Thailand. The LANDSAT satellite images of different dates were first transformed into a time series of Normalized Difference Vegetation Index (NDVI) images before the investigation. It can be visually observed that the NDVI time series of the Idle Agriculture Land (IAL) has the NDVI values closed to zero. In other words, the trend of the NDVI values remains, approximately, unchanged about the zero level for the whole period of the study time. In contrast, the non-idle areas hold a higher level of the NDVI variation. The NDVI values above 0.5 can be found in these non-idle areas during the growing seasons. Thus, it can be hypothesized that the NDVI time-series of the different land cover types can be used for IAL classification. This outcome is a prerequisite to the follow-up study of the NDVI pattern classification that will be done in the near future.
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Format: | Article/Letter to editor biblioteca |
Language: | English |
Subjects: | Classification, Crop, Idle agriculture land, NDVI, Remote sensing, Vegetation, |
Online Access: | https://research.wur.nl/en/publications/a-normalized-difference-vegetation-index-ndvi-time-series-of-idle |
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dig-wur-nl-wurpubs-4087382024-12-04 Vaiphasa, C. Piamduaytham, S. Vaiphasa, T. Skidmore, A.K. Article/Letter to editor Engineering Journal 15 (2011) 1 ISSN: 0125-8281 A normalized difference vegetation index (NDVI) time-series of idle agriculture lands: A preliminary study 2011 In this paper, the NDVI time-series collected from the study area between year 2003 and 2005 of all land cover types are plotted and compared. The study area is the agricultural zones in Banphai District, Khonkean, Thailand. The LANDSAT satellite images of different dates were first transformed into a time series of Normalized Difference Vegetation Index (NDVI) images before the investigation. It can be visually observed that the NDVI time series of the Idle Agriculture Land (IAL) has the NDVI values closed to zero. In other words, the trend of the NDVI values remains, approximately, unchanged about the zero level for the whole period of the study time. In contrast, the non-idle areas hold a higher level of the NDVI variation. The NDVI values above 0.5 can be found in these non-idle areas during the growing seasons. Thus, it can be hypothesized that the NDVI time-series of the different land cover types can be used for IAL classification. This outcome is a prerequisite to the follow-up study of the NDVI pattern classification that will be done in the near future. en application/pdf https://research.wur.nl/en/publications/a-normalized-difference-vegetation-index-ndvi-time-series-of-idle 10.4186/ej.2011.15.1.9 https://edepot.wur.nl/176341 Classification Crop Idle agriculture land NDVI Remote sensing Vegetation Wageningen University & Research |
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Classification Crop Idle agriculture land NDVI Remote sensing Vegetation Classification Crop Idle agriculture land NDVI Remote sensing Vegetation Vaiphasa, C. Piamduaytham, S. Vaiphasa, T. Skidmore, A.K. A normalized difference vegetation index (NDVI) time-series of idle agriculture lands: A preliminary study |
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In this paper, the NDVI time-series collected from the study area between year 2003 and 2005 of all land cover types are plotted and compared. The study area is the agricultural zones in Banphai District, Khonkean, Thailand. The LANDSAT satellite images of different dates were first transformed into a time series of Normalized Difference Vegetation Index (NDVI) images before the investigation. It can be visually observed that the NDVI time series of the Idle Agriculture Land (IAL) has the NDVI values closed to zero. In other words, the trend of the NDVI values remains, approximately, unchanged about the zero level for the whole period of the study time. In contrast, the non-idle areas hold a higher level of the NDVI variation. The NDVI values above 0.5 can be found in these non-idle areas during the growing seasons. Thus, it can be hypothesized that the NDVI time-series of the different land cover types can be used for IAL classification. This outcome is a prerequisite to the follow-up study of the NDVI pattern classification that will be done in the near future. |
format |
Article/Letter to editor |
topic_facet |
Classification Crop Idle agriculture land NDVI Remote sensing Vegetation |
author |
Vaiphasa, C. Piamduaytham, S. Vaiphasa, T. Skidmore, A.K. |
author_facet |
Vaiphasa, C. Piamduaytham, S. Vaiphasa, T. Skidmore, A.K. |
author_sort |
Vaiphasa, C. |
title |
A normalized difference vegetation index (NDVI) time-series of idle agriculture lands: A preliminary study |
title_short |
A normalized difference vegetation index (NDVI) time-series of idle agriculture lands: A preliminary study |
title_full |
A normalized difference vegetation index (NDVI) time-series of idle agriculture lands: A preliminary study |
title_fullStr |
A normalized difference vegetation index (NDVI) time-series of idle agriculture lands: A preliminary study |
title_full_unstemmed |
A normalized difference vegetation index (NDVI) time-series of idle agriculture lands: A preliminary study |
title_sort |
normalized difference vegetation index (ndvi) time-series of idle agriculture lands: a preliminary study |
url |
https://research.wur.nl/en/publications/a-normalized-difference-vegetation-index-ndvi-time-series-of-idle |
work_keys_str_mv |
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