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Remote Sens. 2015, 7(9), 11974-11991; doi:10.3390/rs70911974

The Use of Multi-Temporal Landsat Imageries in Detecting Seasonal Crop Abandonment

Department of Agriculture Technology, Faculty of Agriculture, University Putra Malaysia, UPM Serdang, Selangor 43400, Malaysia
Malaysian Remote Sensing Agency, No. 13, Jalan Tun Ismail, Kuala Lumpur 50480, Malaysia
Institute of Plantation Studies, University Putra Malaysia, UPM Serdang, Selangor 43400, Malaysia
Author to whom correspondence should be addressed.
Academic Editors: Xiangming Xiao, Yoshio Inoue, Clement Atzberger and Prasad S. Thenkabail
Received: 17 April 2015 / Revised: 20 August 2015 / Accepted: 25 August 2015 / Published: 18 September 2015
View Full-Text   |   Download PDF [2125 KB, uploaded 18 September 2015]   |  


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. View Full-Text
Keywords: multi-temporal satellite imagery; seasonal crop; land abandonment; remote sensing multi-temporal satellite imagery; seasonal crop; land abandonment; remote sensing

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Yusoff, N.M.; Muharam, F.M. The Use of Multi-Temporal Landsat Imageries in Detecting Seasonal Crop Abandonment. Remote Sens. 2015, 7, 11974-11991.

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