Patch-Based Assessments of Shifting Cultivation Detected by Landsat Time Series Images in Myanmar

Katsuto Shimizu, Tetsuji Ota, Nobuya Mizoue and Shigejiro Yoshida
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Katsuto Shimizu: Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 744 Motooka, Fukuoka 819-0395, Japan
Tetsuji Ota: Institute of Decision Science for a Sustainable Society, Kyushu University, 744 Motooka, Fukuoka 819-0395, Japan
Nobuya Mizoue: Faculty of Agriculture, Kyushu University, 744 Motooka, Fukuoka 819-0395, Japan
Shigejiro Yoshida: Faculty of Agriculture, Kyushu University, 744 Motooka, Fukuoka 819-0395, Japan

Sustainability, 2018, vol. 10, issue 9, 1-12

Abstract: Shifting cultivation is a widely practiced agriculture system in the tropics. Regardless of the dominant land use, the dynamics of shifting cultivation over large areas are of limited knowledge. We conducted patch-based assessments and characterization of shifting cultivation extracted from already developed dataset, which detected shifting cultivation by a trajectory-based analysis using annual Landsat TM/ETM+/OLI time series images from 2000 to 2014 in Myanmar. An accuracy assessment was conducted in terms of the size and number of cleared areas compared with reference polygons of shifting cultivation, which were manually delineated by visual interpretation using Landsat and high-resolution satellite images from Google Earth™ in the selected areas. The producer’s and user’s accuracies in detecting the number of shifting cultivation patches were 78.1% and 88.4%, respectively. In whole study area, the probability of disturbances caused by shifting cultivation was significantly affected by distance to the nearest village, indicating the importance of accessibility from residences. The number of shifting cultivation patches showed a decreasing trend in this region and it will lead to less cleared forests such as located far from residences. These dynamics of shifting cultivation have possibility to affect the mosaic patterns of landscape and function maintained in the landscape in this region.

Keywords: shifting cultivation; Landsat; time series; tropical forest; disturbance (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
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