The use of multi-temporal landsat imageries in detecting seasonal crop abandonment
Abandonment of agricultural land is a global issue and a waste of resources and brings a negative impact on the local economy. It is also one of the key contributing factors in certain environmental problems, such as soil erosion and carbon sequestration. In order to address such problems related to...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Multidisciplinary Digital Publishing Institute
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/46712/ http://psasir.upm.edu.my/id/eprint/46712/1/The%20use%20of%20multi-temporal%20landsat%20imageries%20in%20detecting%20seasonal%20crop%20abandonment.pdf |
| _version_ | 1848850721691140096 |
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| author | Mohamad Yusoff, Noryusdiana Muharam, Farrah Melissa |
| author_facet | Mohamad Yusoff, Noryusdiana Muharam, Farrah Melissa |
| author_sort | Mohamad Yusoff, Noryusdiana |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Abandonment of agricultural land is a global issue and a waste of resources and brings a negative impact on the local economy. It is also one of the key contributing factors in certain environmental problems, such as soil erosion and carbon sequestration. In order to address such problems related to land abandonment, their spatial distribution must first be precisely identified. Hence, this study proposes the use of multi-temporal Landsat imageries, together with crop phenology information and an object-oriented classification technique, to identify abandoned paddy and rubber areas. Results indicate that Landsat time-series images were highly beneficial and, in fact, essential in identifying abandoned paddy and rubber areas, particularly due to the unique phenology of these seasonal crops. To differentiate between abandoned and non-abandoned paddy areas, a minimum of three time-series images, mainly acquired during the planting seasons is required. For rubber, multi-temporal images should be examined in order to confirm the wintering season. The study demonstrates the advantages of using multi-temporal Landsat imageries in identifying abandoned paddy and rubber areas wherein an accuracy of 93.33% ±14% and 83.33% ±1%, respectively, were achieved. |
| first_indexed | 2025-11-15T10:10:48Z |
| format | Article |
| id | upm-46712 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:10:48Z |
| publishDate | 2015 |
| publisher | Multidisciplinary Digital Publishing Institute |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-467122022-06-20T08:13:46Z http://psasir.upm.edu.my/id/eprint/46712/ The use of multi-temporal landsat imageries in detecting seasonal crop abandonment Mohamad Yusoff, Noryusdiana Muharam, Farrah Melissa Abandonment of agricultural land is a global issue and a waste of resources and brings a negative impact on the local economy. It is also one of the key contributing factors in certain environmental problems, such as soil erosion and carbon sequestration. In order to address such problems related to land abandonment, their spatial distribution must first be precisely identified. Hence, this study proposes the use of multi-temporal Landsat imageries, together with crop phenology information and an object-oriented classification technique, to identify abandoned paddy and rubber areas. Results indicate that Landsat time-series images were highly beneficial and, in fact, essential in identifying abandoned paddy and rubber areas, particularly due to the unique phenology of these seasonal crops. To differentiate between abandoned and non-abandoned paddy areas, a minimum of three time-series images, mainly acquired during the planting seasons is required. For rubber, multi-temporal images should be examined in order to confirm the wintering season. The study demonstrates the advantages of using multi-temporal Landsat imageries in identifying abandoned paddy and rubber areas wherein an accuracy of 93.33% ±14% and 83.33% ±1%, respectively, were achieved. Multidisciplinary Digital Publishing Institute 2015 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/46712/1/The%20use%20of%20multi-temporal%20landsat%20imageries%20in%20detecting%20seasonal%20crop%20abandonment.pdf Mohamad Yusoff, Noryusdiana and Muharam, Farrah Melissa (2015) The use of multi-temporal landsat imageries in detecting seasonal crop abandonment. Remote Sensing, 7 (9). pp. 11974-11991. ISSN 2072-4292 https://www.mdpi.com/2072-4292/7/9/11974/htm 10.3390/rs70911974 |
| spellingShingle | Mohamad Yusoff, Noryusdiana Muharam, Farrah Melissa The use of multi-temporal landsat imageries in detecting seasonal crop abandonment |
| title | The use of multi-temporal landsat imageries in detecting seasonal crop abandonment |
| title_full | The use of multi-temporal landsat imageries in detecting seasonal crop abandonment |
| title_fullStr | The use of multi-temporal landsat imageries in detecting seasonal crop abandonment |
| title_full_unstemmed | The use of multi-temporal landsat imageries in detecting seasonal crop abandonment |
| title_short | The use of multi-temporal landsat imageries in detecting seasonal crop abandonment |
| title_sort | use of multi-temporal landsat imageries in detecting seasonal crop abandonment |
| url | http://psasir.upm.edu.my/id/eprint/46712/ http://psasir.upm.edu.my/id/eprint/46712/ http://psasir.upm.edu.my/id/eprint/46712/ http://psasir.upm.edu.my/id/eprint/46712/1/The%20use%20of%20multi-temporal%20landsat%20imageries%20in%20detecting%20seasonal%20crop%20abandonment.pdf |